Grande parte das interações entre os animais envolve algum tipo de
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Grande parte das interações entre os animais envolve algum tipo de
Universidade Federal do Rio Grande do Norte Centro de Biociências Programa de Pós-Graduação em Psicobiologia Comportamento e ecologia acústica da baleia jubarte (Megaptera novaeangliae) na região Nordeste do Brasil Marcos Roberto Rossi-Santos Natal 2012 MARCOS ROBERTO ROSSI-SANTOS Comportamento e ecologia acústica da baleia jubarte (Megaptera novaeangliae) na região Nordeste do Brasil Tese apresentada à Universidade Federal do Rio Grande do Norte, para obtenção do título de Doutor em Psicobiologia. Natal 2012 1 MARCOS ROBERTO ROSSI-SANTOS Comportamento e ecologia acústica da baleia jubarte (Megaptera novaeangliae) na região Nordeste do Brasil Tese apresentada à Universidade Federal do Rio Grande do Norte, para obtenção do título de Doutor em Psicobiologia. Orientador: Dr. Flávio José de Lima Silva Ficha Catalográfica preparada pela Biblioteca Central Natal 2012 2 É com grande respeito que dedico esse trabalho à memória de meu avô Antonio Carlos Ottoni Rossi e à amorosa presença de minha avó Maria de Lourdes Bueno Rossi, que me iniciaram no caminho da admiração pela natureza e pela música 4 Baleia... Você conheceu todos Os poderosos oceanos. O segredo dos tempos pretéritos Pode ser ouvido em seu canto. Ensina-me sua linguagem Para que eu possa compreender As raízes da história Da gênese de nosso mundo. Sams & Carson, 2000 Sams, J. & Carson, D. 2000. Cartas xamânicas: A descoberta do poder através da energia dos animais. Rio de Janeiro: Rocco. 5 TÍTULO: Comportamento e ecologia acústica da baleia jubarte (Megaptera novaeangliae) na região Nordeste do Brasil PALAVRAS-CHAVE: comportamento de canto, ecologia acústica, baleia jubarte, ruídos antropogênicos, estoque reprodutivo A, nordeste do Brasil RESUMO: O conceito de ecologia acústica envolve a relação entre os organismos vivos e o seu ambiente sonoro e é aplicado no presente trabalho para estudar o contexto no qual ocorreu o comportamento de canto da baleia jubarte (Megaptera novaeangliae), considerado o mais complexo comportamento reprodutivo (display) da natureza, na costa nordeste do Brasil, fora da concentração reprodutiva do Banco de Abrolhos, entre os anos de 2005 e 2010. Analiso a ocorrência de machos cantores em diferentes estruturas de grupo, sua distribuição espacial e prováveis relações com fatores oceanográficos, como profundidade, regime de marés e fases da lua. Também descrevo a estrutura acústica e a variação temporal do comportamento de canto, baseado em medições de frequência e tempo dos cantos, fora do Banco de Abrolhos, além de comparar a complexidade do canto, registrada no mesmo período de estudo, entre o Banco de Abrolhos (16°- 19° S, 37°- 39° W), e a Costa Norte adjacente, aqui considerada desde Itacaré (14° S, 38° W) a Aracajú (11° S, 37° W). Ainda busco descrever e analisar as fontes de ruídos antropogênicos no ambiente marinho da área de estudo, produzidos pela atividade de exploração de petroleo e gás e também pelo turismo de observação de baleias, relacionando-os com o nicho acústico utilizado pela jubarte. Os resultados indicaram uma grande plasticidade no comportamento de canto, evidenciado pela ocorrência dos cantores em diversas estruturas sociais, de indivíduos solitários a grupos contendo outros 6 animais, inclusive fêmeas com filhotes, bem como pela diversidade que compõe o canto da espécie, quando comparado entre duas regiões dentro da mesma área de reprodução, como o Banco de Abrolhos e a Costa Norte, que apresenta características oceanográficas distintas. A distribuição dos machos cantores parece estar relacionada com a extensão da plataforma continental na área de estudo. Os ruídos antropogênicos produzidos demonstraram uma faixa de frequências, amplitude sonora e intensidade capazes de interferir acusticamente no comportamento de canto da espécie, podendo resultar em distúrbios durante o período de reprodução da espécie na costa brasileira. Implicações sobre os resultados obtidos na teoria do sistema de acasamento da espécie são discutidas. Dessa forma, pretendo contribuir com o tema da ecologia acustica e gerar informações que subsidiem a conservação da baleia jubarte. 7 ABSTRACT: The acoustic ecology concept involve the relation between the live organisms and their sound environment and is applied in the present work to study the context in which the humpback whale (Megaptera novaeangliae) singing behavior, known as the most complex display in the nature, occurred in the northeastern Brazilian coast, outside the core area of Abrolhos Bank, between 2005 and 2010.I analyze the singer male occurrence , their spatial distribution and probable relations with oceanographic features, such as depth, tide regimen and moon phases. I also describe the acoustic structure and temporal variation of the singing behavior, based on song frequency and time measurements outside the Abrolhos Bank, and further compare the song complexity, registered in the same period, between Abrolhos Bank (16°- 19° S, 37°39° W) and the adjacent North Coast, herein considered from Itacaré (14° S, 38° W) to Aracaju (11° S, 37° W). Additionally, I look for describe and analyze anthropogenic noise sources in the marine environment of the study area, produced by the oil industry as well as by the whale watching operation, relating their frequencies to the acoustic niche utilized by the humpbacks. The results indicated a great plasticity in the singing behavior, evidenced by the occurrence of singer males in diverse social structures, from solitary individuals to other groups, even containing females and calves, as well as by the diversity which compound the song, when compared between two regions inside the same breeding area, which present distinct oceanographic characteristics. The singer male distribution may be related with the continental shelf extent along the study area. The anthropogenic noise presented frequency range, amplitude and sound intensity in potential to interfere acoustically in the singing behavior of the species, may resulting in disturbance during the breeding season in the Brazilian coast. Implications about the obtained results in the 8 humpback whale mating system are discussed. In this way, I pretend to contribute with the acoustic ecology subject and provide information to subsidize humpback whale conservation. Key-words: singing behavior, acoustic ecology, humpback whale, anthropogenic noise, Breeding Stock A, Northeastern Brazil 9 SUMÁRIO i. Resumo............................................................................................ 06 ii. Abstract........................................................................................... 08 iii. Agradecimentos............................................................................... 12 1- Introdução........................................................................................ 13 1.1) Comunicação animal e ecologia..................................................... 16 1.2) Ruídos e impactos sonoros no ambiente marinho......................... 18 1.3) Caracterização da espécie............................................................. 19 1.3.1) Ocorrência e Distribuição............................................................. 22 1.3.2) Ameaças e Status de Conservação da espécie........................... 24 1.4) Expansão da população de baleias jubarte no Brasil...................... 25 1.5) Ecologia acústica, comportamento e seleção sexual...................... 26 2- Objetivos, Hipóteses e Predições................................................. 27 2.1- Ojetivos....................................................................................... 2.1.1- Objetivo Geral.................................................................. 27 2.1.2- Objetivos específicos....................................................... 27 2.2- Hipóteses e predições............................................................... 28 3- Materiais e Método........................................................................... 29 3.1- Área de Estudo................................................................... 29 3.2- Coleta de Dados.................................................................. 32 3.2.1- Cruzeiros de Pesquisa..................................................... 32 3.2.2- Bioacústica....................................................................... 34 3.2.3 - Sistema de Informações Geográficas.............................. 35 10 4- Resultados......................................................................................... 4.1-Artigo 1................................................................................ 36 37 Ecologia comportamental de canto em baleias jubarte (Megaptera novaeangliae) na região Nordeste do Brasil 4.2- Artigo 2................................................................................ 71 Estrutura acústica e variação temporal do comportamento de canto em baleias jubarte (Megaptera novaeangliae) na área de reprodução da costa do Brasil. 4.3- Artigo 3............................................................................... 102 Industria do Petróleo e poluição acústica na área de reprodução da baleia jubarte (Megaptera novaeangliae) no Oceano Atlantico sul ocidental. 4.4- Artigo 4............................................................................... 135 Efeitos dos ruídos produzidos pelo turismo de observação no comportamento da baleia jubarte (Megaptera novaeangliae) na área de reprodução na costa do Brasil 5- Considerações finais.................................................................... 156 6- Referências Bibliográficas........................................................... 160 7-Anexo................................................................................................. 168 11 Agradecimentos Primeiramente, às baleias-jubarte que ainda guardam o mistério de sua mensagem no mar e refletem no seu olhar introspectivo o espelho do próprio mundo exterior. Muitas pessoas contribuíram com a construção desse trabalho, de diversas formas. Algumas com intenso apoio, enquanto outras aumentando o desafio em concretizá-lo. Sou grato a todos, pois me deram força para vencer mais essa etapa. Agradeço o apoio incondicional de minha família – meus pais e irmãos, e especialmente minha mulher amada e companheira Renata e nossa querida filha Moara. Tenho o prazer de contar como membros da banca, algumas pessoas que muito colaboraram para minha formação profissional. Obrigado Jeff Podos e Emygdio Monteiro Filho pelos muitos ensinamentos, oportunidades e vivências compartilhadas. Obrigado também ao Flávio Lima pela orientação e pelo aprendizado nestes anos recentes. Agradeço o suporte financeiro dos patrocinadores do Instituto Baleia Jubarte durante os anos deste trabalho: Petrobras Ambiental, Aracruz Celulose, Fundação AVINA e Fundação Garcia D´Ávila. Também à CAPES pela concessão da bolsa de doutorado. William Rossiter, da Cetacean Society International, vem fornecendo inestimável apoio a muitas viagens internacionais que contribuíram com minha formação, enquanto David Janiger se tornou um grande guardião de artigos científicos fornecendo prontamente desde publicações atuais e outras de antigas datas. Por fim, agradeço à Mãe Natureza e ao Deus Pai, por nos ensinar a respeitar todos os seres que habitam esse planeta azul. Todos juntos somos um! 12 1. INTRODUÇÃO A comunicação animal sempre exerceu um grande fascínio na humanidade. Na história da ciência, a civilização grega avançou muito acerca do conhecimento natural, pois integravam suas descobertas à visão global do Universo ou Cosmo. Suas perguntas sempre se dirigiam à “essência” da questão e nunca ao funcionamento, com forte característica no empirismo, enfatisando o fenômeno, como faria Johan Von Goethe séculos depois, ao invés de valorizar as medições precisas e teorias como na ciência moderna (vide anexo 1). Assim, a ciência na Grécia impregnava-se do espírito de admiração e de veneração diante dos enigmas do mundo, onde tudo tinha um sentido. Pitágoras, pensador grego característico, acreditava que por trás da realidade material existia um mundo espiritual, cujos seres e forças plasmavam o mundo físico, permeado pelo que ele chamava de “música das esferas”: um fluir de harmonias, uma ordem de relações numéricas e proporções que teriam afinidade com a música. Ainda reencontramos tais relações, por exemplo, entre o comprimento de cordas cuja vibração produz sons considerados harmônicos. Os números não eram apenas designações de quantidade, mas possuiam um conteúdo espiritual próprio (Lanz, 2004). Neste contexto, vem da Grécia a própria denominação do grupo dos cetáceos: Ketus, significando “grande peixe”, ao mesmo tempo “monstro marinho”, tamanho era o fascínio que estes animais exerciam na mente humana, sendo habitantes de um domínio sagrado e misterioso para o homem, como os oceanos. 13 Depois de centenas de anos, esses animais ainda nos maravilham, pelo seu modo de vida, por sua inteligência, por seus mistérios. O canto da baleia jubarte é um dos mais complexos comportamentos acústicos do reino animal (Wilson, 1975), e vem despertando fascínio tanto em admiradores quanto para o meio científico. Embora provavelmente ouvido por marinheiros durante séculos, as primeiras gravações de canto das jubarte foram feitas por navios da Marinha dos EUA no final dos anos 1950. Os cientistas reconheceram esses sons como vindos de baleias jubarte na década de 1960,ea primeira descrição técnica do canto foi publicado por Payne & McVay (1971). Desde então, a estrutura geral do canto, bem como as características básicas de machos cantores têm sido descritas (ex.: Tyack, 1981; Payne & Payne, 1985; Darling et al., 2006). Essas características, combinadas com observações de baleias cantando levaram a várias ideias sobre a função ou o papel do canto nas áreas de reprodução, entretanto correlações com a paisagem acústica onde se inserem essas baleias têm sido pouco abordadas. O impacto de sons antropogênicos sobre a comunicação dos cetáceos é um assunto emergente, de crescente interesse (ex: Hatch & Wrigth, 2007). Nesse estudo, pretendo contribuir com esse tema de ecologia acústica da baleia jubarte, contextualizando o comportamento de canto na estrutura social dentro da área de reprodução desses animais na costa do Brasil. Pretendo também investigar a relação entre o comportamento de canto e características ambientais, como profundidade e extensão da plataforma continental, regionalizadas dentro dessa área. Ainda busco descrever e analisar fontes de ruídos produzidos pelo homem no ambiente marinho da área de estudo, relacionando-os com o nicho 14 acústico utilizado pela jubarte. Considero aqui como conceito de ecologia acústica o estudo da relação entre os organismos vivos e o seu ambiente sônico (paisagem sonora ou soundscape), em uma adaptação de Truax (1999). Esse trabalho está organizado em quatro artigos independentes, cada qual com sua estrutura integral (apresentação de tema, métodos, resultados e discussões), mas que se complementam para compor uma visão mais ampliada dos resultados desse tema de estudo. No Artigo 1 – Ecologia comportamental do canto em baleias jubarte (Megaptera novaeanglie) na região nordeste do Brasil – estudo o comportamento de machos cantores em diferentes estruturas de grupo, sua distribuição espacial e possíveis relações com fatores oceanográficos, como profundidade, regime de marés e fases da lua. No Artigo 2 – Estrutura acústica e variação temporal do comportamento de canto – descrevo a estrutura física baseado em medições de frequência e tempo dos cantos, fora da área de concentração do Banco de Abrolhos. Também comparo a complexidade do canto registrada no Banco de Abrolhos e Costa Norte adjacente. No Artigo 3 – Indústria do Petróleo e poluição acústica na área de reprodução da baleia jubarte – caracterizo os ruídos produzidos dentro do contexto da exploração de óleo e gás no ambiente marinho da região de estudo, principalmente advindos de plataformas e embarcações petrolíferas. No Artigo 4 – Efeitos dos ruídos produzidos pelo turismo de observação no comportamento da baleia jubarte – descrevo as embarcações destinadas ao whale watching em Praia do Forte, litoral norte do Estado da Bahia, assim como a emissão de ruídos gerados por elas durante a aproximação aos grupos de jubarte. Busco 15 discutir o impacto desses sons antropogênicos no comportamento das baleias durante a época reprodutiva. Nas minhas considerações finais, trago um alinhamento entre as discussões apresentadas em cada um dos artigos. Ainda em caráter introdutório, contextualizando o tema de comunicação animal, trago referências sobre o histórico da pesquisa na área; apresento informações sobre ruídos e impactos sonoros em ambiente marinho e trago a caracterização, a ocorrência e distribuição, as ameaças e status de conservação da espécie e a expansão da população de baleias jubarte no Brasil. Ainda introduzo conceitos sobre ecologia acústica, comportamento e seleção sexual. Por fim, em anexo, trago uma reflexão sobre uma outra abordagem na concepção científica – a ciência Goetheana – sustentada pelo desenvolvimento da observação fenomenológica no cientista. 1.1) Comunicação animal e ecologia Parte da teoria sobre comunicação animal a descreve como um processo de transmissão de informações que envolve um indivíduo emissor emitindo algum tipo de sinal para outro indivíduo receptor, onde supostamente este sinal envolve algo desconhecido para este. A informação contida é definida pela habilidade do sinal em reduzir incerteza ao indivíduo receptor (ex: Bradbury & Vehrencamp, 1998). Essa visão clássica de comunicação envolvendo a redução de incertezas é similar ao nosso típico uso sobre a comunicação humana de transmissão de conhecimento através de uma linguagem. 16 Em contraste, para o estudo dos cetáceos vem se buscando uma perspectiva mais ampla, que inclua feições complementares de comunicação não abordadas nesta visão clássica, sendo uma delas a influência do ambiente no processo de comunicação (ver Tyack, 2000). A maioria dos sinais é modificada assim que passa pelo ambiente, desde o emissor ao receptor, o que implica em degradação inicial deste sinal, mas que resulta em informação ao receptor. Por exemplo, alguns pássaros podem estimar a distância de um indivíduo emissor pela degradação do sinal (McGregor & Krebs, 1984; Naguib, 1998). Sabe-se que animais como morcegos e golfinhos aprendem sobre seu ambiente escutando os ecos dos sons que eles mesmos produzem, chamado ecolocalização (ex: Tyack, 2000). Dentro dos estudos de comunicação animal em cetáceos, abrem-se questões básicas de investigação, tais como as funções pelas quais os animais desenvolvem sinais particulares e quais os fatores que fazem estes sinais possuirem características peculiares. Tais questões são fundamentais para decifrar como e para que os sinais de comunicação são elaborados e porque cada um deles possui feições específicas. Isso se inclui na abordagem de ecologia e comportamento do presente trabalho. 17 1.2) Ruídos e impactos sonoros no ambiente marinho O ambiente acústico marinho por si já é uma fonte de ruído e poluição sonora que reflete na percepção e resposta comportamental para diversos animais (McCauley et al., 2000a, 2000b; Miller et al., 2000). O ambiente acústico marinho que as baleias encontram hoje é diferente do que estavam habituadas há cerca de 50 anos atrás, principalmente em área de reprodução, onde, como animais migratórios, passam cerca de seis meses por ano. Um grande crescimento da zona costeira mundial, resultando em grande frota de embarcações e da indústria do petróleo resultou em um ambiente onde os níveis de poluição acústica podem chegar a molestar os indivíduos, causando danos temporários ou até mesmo permanentes em sua fisiologia e comportamento (ex: Richardson et al., 1995, Johnson et al., 2007). Outra fonte em potencial de distúrbio acústico é a indústria de observação de cetáceos (Whale-watching), que vem sendo fomentada por conservacionistas no mundo todo como uma alternativa para o retorno da caça de baleias, além de fonte de renda extra para populações locais. De forma ideal, o whale-watching deveria ser conduzido dentro de um nível sustentável, maximizando os retornos potenciais ao mesmo tempo que minimiza o impacto sobre as espécies observadas. Uma sobreexposição aos ruídos produzidos por embarcações pode resultar em abandono de área pela espécie de interesse, levando, em ultima instância, ao colapso da viabilidade local de operação da indústria de whale-watching (Higham & Lusseau, 2007). 18 1.3) Caracterização da espécie A baleia jubarte, Megaptera novaeangliae (Cetacea, Balaenopteridae), é uma espécie cosmopolita e distribui-se por todos os oceanos (Clapham & Mead, 1999). É considerada um rorqual devido a presença de sulcos ventrais, estruturas que se expandem durante a alimentação que se tornam de coloração avermelhada. As principais características externas da jubarte são: número de pregas ventrais, tamanho e forma da nadadeira peitoral, equivalente a aproximadamente um terço do comprimento total do animal (figura 1), coloração e formato da nadadeira caudal (Chittleborough, 1965). A jubarte também é chamada de baleia corcunda devido à tendência de arquear o corpo quando mergulha. A jubarte pode atingir até dezesseis metros de comprimento e pesar até quarenta toneladas (Chittleborough, 1965; Clapham & Mead, 1999). A coloração do dorso é preta, e a parte ventral varia de totalmente preta a totalmente branca. A nadadeira dorsal é pequena e varia de formato, podendo ser falcada ou arredondada. Na maioria dos animais ocorrem manchas brancas na face ventral da nadadeira caudal, que variam de indivíduo para indivíduo, permitindo identificá-las por fotografias (Katona & Whitehead, 1981). 19 Figura 1: A baleia jubarte (Megaptera novaeangliae), com detalhe para as pregas ventrais e grandes nadadeiras peitorais, realizando comportamento de salto, no litoral norte do estado da Bahia. Jubartes machos e fêmeas atingem a maturidade sexual com aproximadamente 2 a 5 anos de idade e a maturidade física 10 anos depois (Chittleborough, 1965; Clapham, 1992). A única diferença anatômica externamente visível entre machos e fêmeas é a presença de um lobo hemisférico na região urogenital das fêmeas localizada logo após a porção posterior da abertura genital (True,1904). As fêmeas em geral dão a luz a filhotes em intervalos de 2 ou 3 anos (Clapham & Mayo, 1987), embora a ovulação pós-parto seja comum (Chittleborough, 1965). A gestação dura de 11 a 12 meses, sendo que aos seis meses de idade os 20 filhotes começam a desmamar, tornando-se inteiramente independentes ao final do primeiro ano de vida (Clapham & Mayo, 1987). Nas áreas de alimentação e reprodução, as jubartes apresentam organização social caracterizada por grupos instáveis e pequenos (2 a 3 animais). Grandes grupos podem, entretanto, se formar temporariamente durante comportamento alimentar, ou relacionados com a disputa agressiva entre machos durante a temporada reprodutiva (Clapham & Mead, 1999). Os machos da espécie produzem um conjunto de sons complexos, denominados “canto”, durante a temporada reprodutiva, provavelmente com a função de atrair as fêmeas e/ou afastar outros machos (Tyack, 2000). O canto tem uma estrutura previsível, com uma série de sons (unidades), repetida ao longo do tempo nos padrões (frases), com cada frase repetida várias vezes para compor um "tema" (Payne & McVay, 1971). Um canto típico é então composto por 5-7 temas que geralmente são repetidos em uma ordem seqüencial, durando tipicamente 8-15 minutos (embora possa variar de 5-30 minutos) e depois repete-se sobre e ao longo de uma sessão, que pode durar várias horas (Payne & McVay, 1971). Uma característica marcante do canto é que ele gradualmente muda ou evolui ao longo do tempo (Payne & Payne, 1985). A cada ano, diferentes sons se formam para criar novas frases ou temas. Estas mudanças são lentamente incorporadas ao canto, enquanto alguns padrões mais antigos são perdidos completamente. A mudança no tema do canto parece ocorrer de forma coletiva ou comum a toda a população (Winn & Winn, 1978; Matilla et al., 1987). Normalmente, após um período 21 de vários anos, o canto é praticamente irreconhecível a partir da versão original (Payne et al., 1983). Em alguns casos, observa-se que a música é completamente outra no espaço de apenas dois anos (Noad et al., 2000). 1.3.1) Ocorrência e Distribuição As jubartes são animais migratórios, deslocando-se anualmente das áreas de alimentação em altas latitudes, onde permanecem durante o outono e verão, para as áreas de reprodução nos trópicos e sub-trópicos, onde permanecem durante o inverno e primavera (Clapham & Mead, 1999). As áreas de reprodução da espécie são tipicamente entre ilhas e/ou associadas a sistemas coralíneos(Whitehead, 1981; Whitehead & Moore, 1982) (figura 2). Uma população no Mar da Arábia é a única que aparentemente não migra em busca de alta produtividade das águas frias para se alimentar, sendo observada durante todo o ano em águas tropicais (Mikhalev, 1997). Atualmente existem sete sub-populações (ou “stocks”) de baleias jubarte no Hemisfério Sul (IWC, 1998), uma das quais migra anualmente para a costa do Brasil, onde permanecem por aproximadamente cinco meses (de julho a novembro). 22 Figura 2: Ocorrência mundial e padrão migratório da baleia jubarte (Megaptera novaeangliae). Apesar de ocorrer ao longo de toda a costa brasileira desde o Estado do Rio Grande do Sul até Fernando de Noronha (Towsend, 1935; Lodi, 1994), sua principal área de reprodução e cria no Atlântico Sul Ocidental é o Banco dos Abrolhos, sul do Estado da Bahia (ex. Andriolo et al., 2006; Wedekin et al., 2010). Entretanto, nos últimos anos, as avistagens de jubartes no litoral norte do Estado da Bahia, incluindo a região metropolitana de Salvador passaram a aumentar (figura 3), sugerindo a recuperação desta população e o repovoamento de uma antiga área utilizada pela espécie antes da época da caça, quando foram quase dizimadas (Rossi-Santos et al., 2008). 23 Figura 3: A baleia jubarte (Megaptera novaeangliae) ocupando a região metropolitana de Salvador, Estado da Bahia (Banco de Imagens- IBJ). 1.3.2) Ameaças e Status de Conservação da espécie A queda brutal da população destas baleias devido à caça comercial levou a Comissão Internacional da Baleia/ Internacional Whaling Commission (IWC), órgão criado em 1946 para regulamentar o manejo dos grandes cetáceos no mundo, a protegê-las internacionalmente da caça desde 1966. No Brasil, elas são protegidas através do Decreto Lei n° 7643 de 18/12/87 e pela Portaria 117/96 que regulamenta a avistagem de baleias em território brasileiro. 24 A baleia jubarte está presente em todas as listas oficiais de espécies ameaçadas, entre as quais a Lista Oficial de Espécies da Fauna Brasileira Ameaçadas de Extinção (Portaria IBAMA 1522 de 10/12/89) e no Apêndice I da Convenção sobre o Comércio Internacional de Espécies Ameaçadas da Fauna Selvagens (CITES). Segundo a IUCN (Reeves et al., 2003) e o Plano de Ação para Mamíferos Aquáticos do Brasil (IBAMA, 2001), a espécie está classificada como espécie vulnerável à extinção. Atualmente as baleias estão protegidas da caça comercial, mas sofrem ameaças por diversas atividades desenvolvidas pelo homem como o emalhamento em redes de pesca, a poluição dos oceanos, atropelamento e colisões com embarcações e atividades relacionadas à exploração de petróleo. 1.4) Expansão da população de baleias jubarte no Brasil As avistagens de baleias jubarte (Megaptera novaeangliae) na costa do Brasil voltaram a ocorrer em 1988, depois de um longo período de caça destes animais, próximo ao estabelecimento do Parque Nacional Marinho de Abrolhos, sul do Estado da Bahia quando iniciou-se um programa de pesquisa de longa duração para esta espécie de baleia (IBAMA/NEMA, 1990). Desde então, o Banco de Abrolhos tem sido considerado como a principal concentração reprodutiva para a espécie no Oceano Atlântico Sul Ocidental (Engel, 1996; Martins et al., 2001; Martins, 2004; Andriolo et al., 2006a,b; Morete et al, 2007; Wedekin et al., 2010) e a população que frequenta esta área foi denominada como “Breeding Stock A” (BSA) ou “Estoque Reprodutivo A” (IWC, 1998). 25 Atualmente, a população de baleias jubarte (Megaptera novaeangliae) do “BSA” vem crescendo naturalmente, aliado ao resultado da paralização, na década de 1960, da caça comercial da espécie. Recentes estudos sobre modelagens numéricas (Zerbini et al, 2006, Ward et al., 2006) e avistagens ao longo da costa brasileira (Andriolo et al., 2006a,b; Rossi-Santos et al., 2008; Wedekin et al, 2010) contribuem com essa afirmação, demonstrando que a população vem reocupando áreas que historicamente já utilizaram, como, por exemplo, a Baía de Todos os Santos, onde eram abundantes no passado (Tavares, 1916; Tollenare, 1961). 1.5) Ecologia acústica, Comportamento e Seleção Sexual A baleia jubarte é também conhecida com baleia-cantora por sua característica reprodutiva de apresentar um comportamento acústico, exercido pelos machos sexualmente maduros da população. Desde a década de 1970, muitos estudos já descreveram a estrutura fisica dos sons (eg. Payne e Mc Vay, 1971; Payne et al., 1983; Helweg et al., 1998; Maeda et al., 2000; Arraut & Vielliard, 2004) e mesmo suas prováveis funções em nível de ecologia populacional (eg. McSweeney et al., 1989; Dawbin & Eyre, 1991; Darling & Sousa-Lima, 2005; Eriksen et al., 2005), entretanto, muitos outros aspectos da ecologia acústica que envolvem as jubartes durante o canto ainda permanecem desconhecidos, como a sua relação com o ambiente onde é produzido e com os outros sons, que não são naturais, produzidos pelo homem no ambiente marinho, durante a temporada reprodutiva anual. 26 Além disso, dentro da abordagem ecológica, abrem-se outras questões como, por exemplo, a comparação entre a concentração reprodutiva com outras áreas ao longo da costa e o contexto social-ecológico onde os machos cantam (quais os grupos sociais onde ocorrem com mais frequência, quais as características ambientais destes locais e suas prováveis relações com o comportamento de canto da espécie), que serão abordadas no presente trabalho. 2. OBJETIVOS, HIPÓTESES E PREDIÇÕES 2.1) Objetivos 2.1.1) Objetivo Geral Caracterizar a ecologia acústica do comportamento conhecido como “canto”, da baleia jubarte, M. novaeangliae, na região nordeste do Brasil, fora de sua concentração reprodutiva no Banco de Abrolhos, entre os anos de 2005 a 2009. 2.1.2) Objetivos específicos a. Descrever e analisar a distribuição espacial dos machos cantores e o contexto ecológico-social no qual este comportamento ocorre fora de sua área de concentração reprodutiva (artigo 1); 27 b. Descrever a estrutura físico-acústica do canto da baleias jubarte fora de sua área de concentração reprodutiva (artigo 2); c. Descrever e analisar as fontes de ruídos antropogênicos provenientes da indústria do petróleo no ambiente acústico utilizado pela baleia jubarte (artigo 3) d. Descrever e analisar as fontes de ruídos antropogênicos provenientes do turismo de observação de baleias no ambiente acústico utilizado pela baleia jubarte (artigo 4) 2.2) Hipóteses Hipótese 1: Existe uma relação entre a complexidade da estrutura de grupo no qual o macho cantor está inserido e o contexto ecológico no qual este comportamento ocorre, sendo que fora da área de concentração reprodutiva a estrutura do canto das baleias jubarte tende a se diferenciar. Predição 1: os grupos com machos cantores apresentam estrutura social diferenciada quando inserido em um cenário ecológico distinto da concentração reprodutiva. Hipótese 2: Existe uma relação entre a complexidade do canto e a caracterização oceanográfica no qual este comportamento ocorre, sendo que fora da área de concentração reprodutiva a estrutura do canto das baleias jubarte tende a se diferenciar. Predição 1: o canto da baleia jubarte é diferente quando inserido em um cenário ecológico distinto da concentração reprodutiva. 28 Hipótese 3: Existe a sobreposição de nicho acústico, onde ruídos provocados por atividades humanas causam interferências no comportamento das baleias jubarte. Predição 1: Os ruídos provocados por atividades humanas no ambiente marinho estão dentro da faixa de frequência utilizada pela baleia jubarte no seu processo de comunicação. 3. MATERIAL E MÉTODOS 3.1) Área de estudo A área do presente estudo inclui o litoral do Estado da Bahia, desde Itacaré (14° S, 38° W) a Aracajú (11° S, 37° W), no litoral do Estado de Sergipe (figura 4), por ser uma região adjacente ao norte da concentração reprodutiva da espécie com facilidades logísticas nos portos de Itacaré (cerca de 300 km ao sul de Salvador), da própria capital, Salvador, de Praia do Forte, no município de Mata de São João, a 55 km ao norte. Este trecho de costa é caracterizado por praias de areia de quartzo fina a grosseira. As barras parcialmente submersas de rocha ocorrem alternadamente no sublitoral e os recifes costeiros em franja, dominados por algas calcárias e briozoários, com poucos corais celenterados encontrados fora, aproximadamente a 12 km da praia. A praia supralitoral é caracterizada por um cordão de dunas 29 crescendo em altura na direção norte e por praias de baixo declive e de maior extensão ao sul. Dentro da área de estudo também ocorrem grandes baías e estuários costeiros, de importância para a navegação, como a Baía de Todos os Santos, no Estado da Bahia e os estuários do Rio Vaza-Barris e do Rio Sergipe, no estado de mesmo nome. A principal característica desta região, em geral, é a presença de uma plataforma continental estreita, cuja extensão corresponde a aproximadamente 15 km (figura 4). A média de profundidade ao longo da plataforma é de 20-70 metros e a amplitude de maré varia entre 0.1 a 2.6m (Carta náutica – Diretoria de Hidrologia e Navegação DHN- da Marinha do Brasil.). Além da pressão antropogênica, resultante principalmente da presença de grandes portos, como o de Salvador e de Aracajú, e do tráfego de navios resultante, de atividades de exploração de petróleo e gás, com a presença de plataformas costeiras, a região abriga diversas colônias de pesca artesanal, intensa atividade turística e ocupação espacial desordenada, além do maior Pólo Petroquímico do Hemisfério Sul, no município de Camaçari, Estado da Bahia. 30 Figura 4: Área de estudo, desde Itacaré (BA) 14° S, 38° a Aracajú 11° S, 37° W (SE), durante a temporada reprodutiva de baleia-jubarte (Megapteranovaeangliae), entre julho e outubro. 31 3.2) Coleta de dados 3.2.1) Cruzeiros de pesquisa Para os cruzeiros de pesquisa utilizou-se uma embarcação de madeira, do tipo saveiro (caracterizada por possuir somente um mastro central) de 15 metros e motor díesel de 250 hp (figura 5). Figura 5: Embarcação (Saveiro) utilizada durante os cruzeiros de pesquisa durante a temporada reprodutiva de baleia-jubarte (Megaptera novaeangliae), entre julho e outubro, com referência aos observadores na proa. 32 A equipe de campo, composta por três observadores, permanece na proa da embarcação para cobrir um ângulo de 180° de campo visual. As observações são feitas a olho nu, eventualmente auxiliadas por binóculos, buscando-se identificar sinais de baleias (borrifo, dorsos, saltos e outros comportamentos) na superfície da água próxima ao horizonte. Utilizamos uma ficha diária de amostragem, com os dados gerais da expedição, como duração, participantes, número de baleias avistadas, bem como os dados ambientais (velocidade e direção do vento, visibilidade, escala Beaufort do mar, profundidade, entre outros) que poderiam influenciar nas condições de avistabilidade. Para as tomadas de horário da maré correlacionada aos grupos de baleias avistados, foi utilizada a Tábua de Marés fornecida pela Diretoria de Hidrologia e Navegação (DHN) da Marinha do Brasil. Os grupos de baleias-jubarte avistados foram registrados em outra ficha de campo, onde constam informações como coordenadas geográficas, tamanho e composição do grupo, horário da avistagem, comportamentos observados antes e durante a aproximação do barco, além de outras informações. A aproximação aos grupos foi realizada de maneira gradual, com o motor em marcha média e constante, procurando chegar junto aos animais por um dos bordos. A embarcação de pesquisa permaneceu, em média, 30 minutos com cada grupo de baleias para a coleta dos dados de comportamento e bioacústica, entretanto, quando as condições climáticas são favoráveis, durante um comportamento de canto observado, este período pode ser extendido até cerca de 60 minutos. 33 4.2.5) Bioacústica Ao longo dos anos o equipamento de gravação variou em função do crescente avanço tecnológico que derivou nos sistemas de aquisição de áudio e vídeo digital. Entre os anos 2005 a 2007, os cantos de baleia foram gravados utilizando um sistema analógico (gravador cassete Sony TCD-5M – resposta de frequência de 24 kHz) ou, eventualmente um sistema analógico-digital (vídeocamêra Sony VX-1000) sempre plugados ao mesmo hidrofone (HTI SSQ-94). A partir de 2008 passou-se a utilizar um sistema digital (mini-gravador digital M-Audio MicroTrack II), resultando em um ganho da resposta de frequência para 48 kHz. Posteriormente, as gravações obtidas nos sistemas analógico e analógicodigital foram digitalizadas, exportanto os dados brutos para o programa onde seriam feitas as análises, o RAVEN 1.3 (Universidade Cornell/EUA). Os dados do sistema digital já eram obtidos em formato sem compressão (WAV), selecionado no gravador, e salvos em um banco de dados de áudio. Depois de digitalizados os sons foram analisados, no programa RAVEN, quanto aos parâmetros de frequência física tais como: frequência inicial, frequência final, frequência média, frequência máxima, frequência mínima, amplitude, duração, energia. Estes dados foram medidos, utilizando o cursor para a seleção do sinal acústico, através de espectrogramas digitalizados (gráficos com eixos em freqüência (Hz) e tempo (seg)). Uma vez medidos, os dados foram exportados para o programa Microsoft Excel para compor um banco de dados para análises posteriores. 34 Para os cantos das baleias jubarte, também analisamos a complexidade de partes da estrutura dos cantos, agrupadas em unidades sonoras ou notas, frases e temas, seguindo a classificação de trabalhos anteriores (revisado em Tyack, 2000, Souza-Lima, 2007 e Parsons, 2008) 4.2.6) Sistema de Informações Geográficas As rotas dos cruzeiros de pesquisa e avistagens dos grupos de baleias jubarte observados, armazenadas em bem um como as tomadas ambientais Sistema de Informações coletadas, foram Geográficas para serem posteriormente plotadas em mapas de cartas náuticas pré-digitalizadas, utilizando o programa Arcview 3.2 (ESRI, Headland, Califórnia). Estes mapas, então, incluem a batimetria da área de estudo e a distribuição das avistagens de baleias jubarte. 35 4) RESULTADOS 36 Artigo 1 – Ecologia comportamental do canto em baleias jubarte (Megaptera novaeangliae), na região nordeste do Brasil. Marcos R. Rossi-Santos 1,2 , Elitieri Santos-Neto1, Clarêncio G. Baracho-Neto1, Sérgio R. Cipolotti1, Enrico G. Marcovaldi1, Flávio J. L. Silva2,3 1- Instituto Baleia Jubarte 2- Universidade Federal do Rio Grande do Norte 3- Universidade Estadual do Rio Grande do Norte\ Centro Golfinho Rotador BEHAVIORAL ECOLOGY (A1 – Fator Impacto 3,083) A ser submetido 37 RESUMO Nós estudamos a ecologia comportamental de machos cantores de baleias jubarte (Megaptera novaeangliae) entre Itacaré/ Bahia (14°S, 38°W) a Aracaju/ Sergipe (11°S, 37°W), dentro da sua área de reprodução no Brasil, entre os anos de 2005 e 2009. Foram analisados aspectos sociais e ecológicos tais como composição de grupo, distribuição espacial, influência de profundidade, marés e fases da lua. Saídas utilizando embarcação foram realizadas para avistagem e aproximação das baleias, para a coleta de dados como localização geográfica, comportamento e gravações bioacústicas. Um total de 912 horas de esforço amostral foi obtido em 123 dias de saídas, avistando 370 grupos de baleias. Em 36 dias (41 horas de observação direta), 29% dos grupos (n=44; 82 indivíduos) foram identificados contendo ao menos um macho cantor, confirmado por gravações subaquáticas. Grupos com machos cantores foram avistados ao longo de toda a área de estudo, na maioria das vezes como indivíduos solitários (n=21 grupos, 48%), seguido por grupos contendo dois (n=8; 18%), três (n=3, 7%), quatro (n=2, 4,5%) indivíduos adultos e grupos contendo pares de fêmea com filhote, acompanhados por um macho cantor (n=4, 9%) ou fêmeas com filhotes acompanhadas de dois machos cantores (n=1, 2%). Grupos com machos cantores foram avistados em uma variação de profundidade entre 16 e 173 metros (média = 54,6/ desv.pad.= 34,2). A plataforma continental estreita associada com a distribuição costeira da baleia jubarte na região de estudo pode influenciar na formação das diferentes estruturas de grupo contendo machos cantores. Trazemos, assim, uma visão mais ampla dos aspectos ecológicos do comportamento de canto nesta espécie, em uma nova região de estudo, alem de sua concentração reprodutiva do Banco de Abrolhos. 38 Palavras-chave: Baleias jubarte, machos cantores, ecologia comportamental, distribuição 39 BEHAVIORAL ECOLOGY OF THE SONG IN HUMPBACK WHALES (MEGAPTERA NOVAEANGLIAE), FROM THE SOUTHWESTERN ATLANTIC OCEAN ABSTRACT We studied the behavioral ecology involving singer humpback whales (Megaptera novaeangliae) from Itacaré/ Bahia state (14°S, 38°W) to Aracaju/ Sergipe state (11°S, 37°W), in the Brazilian breeding ground, between 2005 and 2009 (July to October). Behavioral and ecological aspects such as group composition, spatial distribution, depth, tides and moon were analyzed, through boat surveys. We sighted 370 whale groups in 123 days, during a total of 912 hours of sampling effort. In 36 days, 29% of the groups (n=44; 82 individuals) were identified containing at least one singer male. Such groups were sighted along all the study area, mostly like alone individuals (n=21 groups, 48%), followed by groups with two (n=8; 18%), three (n=3, 7%), four (n=2, 4,5%) individuals and also groups with female-calf pairs with one escort male (n=4, 9%) or female-calf pairs plus two males (n=1, 2%). Groups with singer males were sighted in a depth range of 16 and 173 meters (mean = 54,6 ± 34,2 SD). The narrow continental shelf associated with the coastal distribution of the whales in the study area may influence in the group compositions containing singer males. So on, this work bring for the first time an ecological perspective of this recognized important singing behavior in this species, and also show the expansion of the acoustic activity, during the Brazilian breeding season, going far beyond the core area of Abrolhos Bank. Keywords: Humpback whales, singer males, behavioral ecology, distribution 40 1) INTRODUCTION 1.1) Ecology and animal communication The most of the acoustic signals are modified when the pass by the environment since the sender to the receiver, which transforms and depredates this signal, but even so, results in information to the receiver, as some bird species who can estimate the distance from a sender individual through the signal degradation (McGregor & Krebs, 1984; Naguib, 1998). Furthermore, the environment may shape evolutionary changes which may result in specific vocal adaptations in close related vertebrate species, and even inside the same species, leading to differences in sound repertoire which reflect their ecological habits (Podos, 2001; Podos et al., 2004). Dolphins and bats track their environment listening to the echoes which themselves produces, a process called echolocation (eg: Tyack, 2000). Thus, in the field of cetacean communication there are some basic questions that still could be answered, such as what are the features that make this signal unique. Those questions are crucial to understand whether these signals are elaborated and have their specific usage. Part of this subject is included in the behavioral ecology context of the present work. We studied the behavioral ecology of the singer male humpback whale (Megaptera novaeangliae) in their breeding ground at northeastern Brazilian coast and discussed diverse parameters, such as singers’ group structure, behavior, distribution and their possible relations with oceanographic features as depth, tide and moon phases influences on the humpback whale song inside the breeding season. 41 1.2) Species Characterization The humpback whale Megaptera novaeangliae (Cetacea, Balaenopteridae), is a cosmopolitan species distributed along all the oceans worldwide (Clapham & Mead, 1999), moving every year from high latitude feeding areas, staying during the autumn and summer, to the breeding areas in the tropics, staying during the spring and summer (Clapham & Mead, 1999). These breeding areas are typically between islands and/or associated with coral systems (Whitehead, 1981; Whitehead & Moore, 1982). In the feeding and breeding area, the humpback whale present a social organization characterized by unstable and small groups (2 to 3 animals). However, larger groups can be found during the feeding behavior or related to the aggressive competition between males during the breeding season (Clapham, 1996). 1.2.1) Ocurrence and Distribution Nowadays, there are seven humpback whale sub-populations (or stocks) in the southern hemisphere (IWC, 1998), one of those, named by IWC “Breeding Stock A/ BSA” to migrate to the Brazilian coast, where they breed from July to November. Despite their occurrence along a large range in Brazil, from Rio Grande do Sul state, southern Brazil, to the Fernando de Noronha Archipelago, northeastern Brazil, (Towsend, 1935; Lodi, 1994), its core breeding area is the Abrolhos Bank, Bahia state (Wedekin et al., 2010). However, the increase of humpback whale sightings northwards from the Abrolhos Bank, including the Bahia state capital, Salvador and the north coast of the state, suggest the population recovery in this historical area, occupied by the whales prior the whaling period (Tavares, 1916; Tollenare, 1961; Rossi-Santos et al., 2008). 42 1.3) Ecology and Acoustic Behavior The humpback whale is also known as singer whale because its unique characteristic of to exhibit a singing behavior, performed only by males, during their breeding season. Since the 1970ths, many studies described the physic structure of the songs (eg. Payne e Mc Vay, 1971; Helweg et al., 1998; Maeda et al., 2000; Arraut & Vielliard, 2004) and even their probable functions at the population ecology level, such as female attraction, male-male competition and cultural exchange (eg. McSweeney et al., 1989; Dawbin & Eyre, 1991; Darling & Sousa-Lima, 2005; Eriksen et al., 2005), however many other aspects of the acoustic ecology of the species during the singing behavior is still unknown, such as the socio-ecological context in which the males sing, bringing spatial information (eg. where do they sing?, what depth?) and variations of this context inside the breeding season. 2) MATERIAL AND METHODS 2.1) Study area For this work we encompassed a stretch of coast between the northeast states of Bahia and Sergipe, naming it North Coast, going from Itacaré (14° S, 38° W) to Aracaju (11° S, 37° W), with main departing location at Praia do Forte, (13° S, 38° W) placed in the center of this area (figure 1). The main oceanographic characteristic for this area is a narrow continental shelf, with approximately 15 km of extension, with average depth of 40 meters and the tide amplitude varying between 0.1 to 2.6m (DHN, 1995; Ekau & Knoppers, 1999). 43 This region is characterized by two remarkable environments, being the presence of large bays and estuaries from Itacaré to Salvador, capital of Bahia state, and by long sand beaches, with large dune formation fringing the coast line, between Praia do Forte and Aracaju (Hatge & Andrade, 2009). Figure 1 – Study area, named North coast, located between Itacaré and Aracaju, Northeastern Brazil. For reference, southwards it is located the Abrolhos Bank, core area of humpback whale (Megaptera novaeangliae) distribution in Brazil. The line represents the 200 meters isobath, demarking the Brazilian continental shelf. 2.2) Data collection and behavioral observations 44 We carried out boat based surveys searching for whales in a determined route, approaching animals when sighted to collect data such as number of individuals, composition of the groups, behavior observed before and after approach, dive patterns, time of beginning and end of the sightings and bioacoustic recordings. Behavioral observations followed a combined Focal Group and Ad libitum methods (see Mann et al., 2000) registering a sequence of a certain behavior during the observation time of each group, broadly employed in the cetacean studies. Behavior and group structure nomenclature and definitions followed extensive previous works worldwide (Clapham, 1996, Clapham & Mead, 1999, Clapham 2000) and locally (Engel, 1996, Lunardi et al., 2010). 2.3) Sex Determination of Individuals Genetic studies of humpback whales worldwide have shown that singing and escorting are behavioral roles performed only by males and that a whale closely associated with a calf is its mother, an adult female (eg. Palsboll et al, 1997; Darling & Berube, 2001). An ‘escort’ is defined as a whale that is associating with another adult whale known to be female or with a mother-calf pair. When two males are engaged in dispute behavior in the presence of a female, both are considered escorts (Herman & Tavolga 1980). In this study, we assume the sex of observed animals in these behavioral roles following these convictions. The term ‘calf’ refers to calves of that year. It was not possible to visually differentiate between immature or sub-adult and adult whales, therefore the term ‘whale’ refers to all non-calf whales. 45 2.4) Geographic Information System (GIS) For the record of the geographic position of sighted animals, with reference to the boat position, we utilized a GPS Map 76 and a GPS Map 60c (Garmin), in the way-point function. For posterior analysis and studies of the humpback whale distribution along the time in the study area, we created a GIS environment modeling, including important features such as the Brazilian coast line, bathymetry and the plotted geographic coordinates of each sighting, in a digital nautical charter, using the software Arc View GIS (version 3.1). 2.5) Dive Time Dive time were systematically registered during 2008 and 2009 breeding seasons, utilizing a digital chronometer, in order to measure and compare breathing behavior of small groups (less than 4 individuals), to date, Alone Males (solitary), Couples, Female with calf pairs, Female with Calf plus one escort male. We organized dive time data into the following definitions: (D.O.- minutes) = Direct Observation (the time spent observing humpback whale groups); (D.P. range – seconds) = Dive time – the time whales spent underwater; (Mean range D.P > 100 sec) = mean number of Dive time larger than 100 seconds; (# of measur.) = number of dive measurements; (# measure. > 100 sec) = number of dive measurements larger than 100 seconds; (Fe-Ca pairs) = female and calf pairs; (FeCa-E1) = female and calf pairs plus one escort male. 46 2.6) Tide and moon analysis We divided tidal states into 8 different classes, looking for a similar time division and fine scale during the tidal regimen. Significant differences in tide and moon phases categories were analyzed utilizing the Chi-Square test (5%). 3) RESULTS Between 2005 and 2009, we performed a total of 912 hours of sampling effort, distributed in 123 days, sighting 370 groups during our systematic field work (table 1). About 29% of the groups (n=44; 82 individuals), in 36 days (41 hours of direct observations), were identified containing at least one singer male in the group, with singing behavior confirmed by underwater recording. 47 Table 1: Number of boat surveys, sampling effort (hours), covered distance (nautical miles), number of sighted whales, number of groups and direct observation (hours) of humpback whales in the northeastern Brazilian coast, between 2005 and 2009. Seasons Survey n Sampling Direct Covered effort observation distance (hs) (hs) (Nm) Whales Groups observed 2005 17 118,5 34,7 699 104 53 2006 37 266,6 109,4 1667 317 151 2007 7 51,7 18,8 339 58 26 2008 32 235,7 96,5 1463 291 21 2009 30 240 77 981 275 119 Total 123 912,3 336,4 5179 1045 370 3.1) Distribution Humpback whale groups with singer males were sighted along the study area, from the southern sighting in Itacaré/Bahia state (14° S, 38° W) to the northern sighting in Aracaju/Sergipe state (11° S, 37° W) (Figure 2), despite a small gap noted North of Praia do Forte towards Aracaju. 48 Figure 2: Distribution of humpback whale (Megaptera novaeangliae) groups with singer males, in the study area, Brazilian breeding ground, between 2005 and 2009 3.2) Group structure Regarding group structure, singer whales were sighted mostly alone (n=21 groups, 48%), followed by groups containing two (n=8, 18%), three (n=3, 7%), four (n=2, 4,5%) adult individuals and groups with mother-calf pairs plus the singer male (n=4, 9%) or mother-calf pairs plus two more males (n=1, 2%) (Figure 3). 49 Figure 3: Frequency of different group structure of humpback whales with singer males, between 2005 and 2009, in the Northeastern Brazilian coast. 1 Ad = 1 adult individual, 2 Ad = 2 adult individuals, 3 Ad = 3 adult individuals, 4 Ad = 4 adult individuals, FefiEp = female and calf pair plus one escort male, FefiEpE = female and calf pair plus two escort males. During 2005 and 2006, singer males were observed in all mentioned categories, excepting three or four adults. In 2008 and 2009 these groups occurred. That may indicate a variation in singer male group composition along the time, with more singers in a certain area, maximizing the singing behavior with diverse potential groups for mating. 50 3.3) Behavioral observations Alone individuals (n= 21) are generally observed floating on the surface, with slow movements and performing resting behavioral events related to diving, such as tail-up and dorsum arching, with minor frequency of snaking (tail and peduncle shaking before dive) and breaching, both noted only for 3 individuals. Couples exhibited more active behaviors than alone animals, being observed breaching (3 individuals), tail slapping (2 individuals), diving and resting (2 individuals). Competitive groups including singer males were registered on four occasions, exhibiting active behaviors. In Oct, 1, 2005, during 40 minutes of direct observation we sighted 4 animals performing behaviors of consecutive tail-up for short dives, dorsum arching, belly exposition, breaching and bubble exhalation on the sea surface. In Jul, 31, 2008, we sighted 3 animals during 41 minutes of direct observation showing head slapping, dorsum arching, rolling, breaching (n=13), tail-up for diving (n=12) and tail slapping (n=2). In this sighting, we observed one whale-watching zodiac boat (about 9m long with outboard engine of 250 Hp) near to the humpback group. In Aug, 7, 2008, for 85 minutes we observed 4 animals with behavior such as breaching (n=4) and tail-up during short dives (n=37) and in Aug, 30, 2008, during 70 minutes, we sighted 4 animals performing head exposition (n=2), tail-up during dives (n=11) and pectoral fin slapping (n=2). 51 3.4) Dive time We obtained 956 measurements for 52 humpback whale observed groups (Table 2). The time at the sea surface, indicated a general pattern of few (2-5) very short breathings (less than 30 seconds) and one longer dive (> 30 to 780 seconds). Four groups of alone males were singing while measured, confirmed by underwater recordings. In Aug, 10, 2008, the singer male was at 51 meters deep, showing long dive patterns and performed fluke exhibition in travelling behavior. Another sighting, in Aug, 30, 2008, we observed a sequence of long dives (7 measurements > 200 seconds) of the male at 40 m deep. Again, we observed 5 fluke exhibitions in displacement behavior. In Aug, 28, we observed a singer male in active behavior with breaching and singing while showed a dive pattern of 4 dives less than 60 sec and then one long (>100sec). Depth was not registered. In the last observation, during the research cruise of Jul, 14, 2009, a singer male was in rest behavior at 36 meters deep, and the song caption was intense, suggesting the proximity to our boat. This animal presented long dives, being the maximum value registered for the total sample of 780 seconds (13 minutes), and performed the same fluke exhibition than the other observed males. The smallest dive range was registered for FeCa pairs (maximum of 132 sec 2,2 min). Couples were the second category in long dive patterns (2-660 sec) and the first in number of measurements larger than 100 seconds (n=88) (table 2). 52 Table 2 – Summary of humpback whale dive time from the study area in the Brazilian coast between 2008 and 2009 *. Group # Depth (D.O.) (D.P) Mean range # Structure Groups range (min) range D.P (m) (sec) 100sec . > 100sec 21 8,7-126 977 2-780 134,3-780 278 59 Couples 18 49-126 810 2-660 125,6-540 389 88 FeCa 3 - 120 5-132 116-166,3 59 7 FeCa-E1 10 66-155 500 2-349 122,3-479,5 230 31 Total 52 8,7-155 2407 956 185 Alone of # > measur measur. Males pairs 2-780 * Definitions: (D.O.- minutes) = Direct Observation (the time spent observing humpback whale groups); (D.P. range – seconds) = Dive Pattern – the time whales spent underwater; (Mean range D.P > 100 sec) = mean number of Dive Patterns larger than 100 seconds; (# of measur.) = number of dive measurements; (# measure. > 100sec) = number of dive measurements larger than 100 seconds; (FeCa pairs) = female and calf pairs; (FeCa-E1) = female and calf pairs plus one escort male. 3.5) Environmental features 3.5.1) Depth Sightings of humpback groups with singer males occurred between 16 and 173 meters (mean = 54,6 ; ± 34,2 SD). We grouped depth values into different classes (Figure 4). For depth range 1 (0 to 20m), we found only one competitive group of 4 animals at a 16 m location. For depth range 2 (21 to 30m) we sighted 3 53 whale groups, for depth range 3 (31 to 40m) we observed 5 groups, for depth range 4 (41 to 50m) we sighted 7 whale groups, while for depth range 5 (51 to 70m) we registered 3 groups. For depth range 6 (71 to 100m) we observed 3 whale groups and for depth range 7 (> 100m) we sighted 2 groups, being one with a alone individual at 126m and a competitive group of 4 animals at 173 meters deep. Figure 4: Frequency (number of sightings) of humpback whale groups with singer males in different depth range, between 2005 and 2009, in the North Coast, Brazilian breeding ground. 54 3.5.2) Tide Even dividing the tidal states into time similar categories, and apparently diverse in the frequency distribution (Figure 5), the Chi-Square test showed no statistical differences between singer male occurrence in the tidal classes (ChiSquare 5% =11,55556; df = 7; p= 0,12). Figure 5: Frequency of humpback whale groups with singer males in different tidal classes, between 2005 and 2009, in the North Coast, Brazilian breeding ground. (HgHigh, Hg/Eb - High/Ebbing, Half Eb- Half Ebbing, Eb/Lw- Ebbing/Low, Lw- Low, Lw/Rs - Low/Rising, Half Rs- Half Rising, Rs/Hg - Rising/High). 55 3.5.3) Moon Phases Singer males were sighted in all moon phases, but despite small differences (figure 6) there was no statistical differences between the four classes (Chi-Square 5% = 2,0; df = 3 p= 0,57), indicating no evident influences of this environmental feature in the singing behavior along the study area. Figure 6: Frequency of humpback whale (Megaptera novaeangliae) groups with singer males in different moon phases, between 2005 and 2009, in the North Coast, Brazilian breeding ground. 56 4) DISCUSSION During five years we found humpback whale groups containing singer males in all the extension of our study area, being about 520 km of coast. This confirm the large distribution of the humpbacks in the Northeastern region of Brazil, going farther than the core area of Abrolhos Bank, as previously commented (Rossi-Santos et al., 2008; Wedekin et al., 2010). The lack of sightings in the stretch of coast between north of Praia do Forte to south of Aracaju may be probably due to the sampling route, always passing there during the night, because navigating conditions in those cruises, which depart from Praia do Forte to reach Aracaju during the early morning of the next day. However, the sightings north and southwards of this place attest the presence of the humpbacks, and because its high mobility we assume they do occur along all that part of coast. Despite the singer animals being typically described as alone males (eg. Payne & Mc Vay, 1971; Clapham, 1996; Darling & Berube, 2001), singing behavior may occur in other group composition, as the occasional escort males (eg. Baker and Herman, 1984; Frankel et al., 1995; Darling & Berube, 2001), whose may sing while escorting females with or without calves. Darling & Berube (2001) also reported about 14 occasions where another male approached singer males. In the present work we found singer males mostly as alone individuals. However singer males also occurred in groups varying from two to four individuals, besides males accompanying females and calves. In one occasion two singers in the same group were confirmed by bioacoustic recordings. This show a large behavioral 57 flexibility from humpback whales in increase the chances to find a mate partner during the breeding season. During many occasions we noted singer males typically smaller (referenced to the boat as 8-9m long animals), suggesting that young animals are using the study area as a way to search for new territories even less competitive than the core area of Abrolhos Bank, where traditionally large and old singer males utilize during the breeding season. We suggest the employ of the photogrammetry method (eg. Spitz et al., 2002) to access this hypothesis in next studies concerning body size estimation. Humpback whale distribution in the study area may be related to ecological features such as oceanographic parameters of depth, continental shelf extension, while tide and moon seems do not influence singer male distribution. Meanwhile, behavioral factors such as female distribution are theorized in the literature and may be determinant in the singer male occurrence during the breeding season. As humpback whale apparently do not feed in the breeding areas, females tend to move intensely, avoiding to meet with other female while, simultaneously, looking for increase their mate chances. Pos-partum ovulation, common in this species, also benefits this high mobile female behavior and these factors together result in an irregular female distribution (Clapham, 1996; Clapham & Mead, 1999). The fact of the study area be located in a continental region, different from the most of the described breeding areas, such as the Hawaiian Archipelago, (Au, et al., 2006), South Pacific Ocean islands (Helweg et al., 1998), Panama Gulf (Olviedo et al., 2008), may result on differences in their acoustic signals. As the oceanic dynamic between continental areas and islands is different, the influence of environmental parameters in continental areas may be different and 58 provide the development of different acoustic signals that may be more efficient in a certain environment. Further studies should develop efforts in ecological comparisons between coastal and oceanic areas which may be affecting male distribution and singing behavior in a fine scale. We registered an increase in behavioral activity according to the increase in the group size and composition, with larger groups presenting a broader behavioral repertoire, in accordance with literature descriptions to other breeding areas (eg. Clapham, 1996) and to the same breeding stock A, in the Abrolhos Bank (Morete et al., 2007), which may contribute with the complex group structure during the breeding season and may reflex in complexity of communicative skills (Freeberg et al., 2012). The largest dive, of 13 minutes, was found for a singer male, very similar to the results from a recent study in the Abrolhos Bank, which analyzed the same 4 group categories and registered the largest time of 13,13 minutes, coming from a singer male (Benzamat et al., 2010), indicating a probable general pattern for areas as distant as 500 km, in the same breeding stock. Humpback whales sometimes show avoidance to boat approaching increasing their dive patterns (Hoyt, 2001). During many years researchers from both Abrolhos Bank and North Coast of Bahia state, noted that the whales in North Coast are more difficult to approach than in the core area of Abrolhos. The present data on the mean percentage of time spend by diving whales was 85% in relation to the direct observation time. This value was more than double than previous studies from the Abrolhos Bank, 42 % in Peres (2006) and 30,1% in Benzamat et al. (2010). The north coast do not present genetic differences from the Abrolhos Bank (Cypriano-Souza et al., 2010) but is being considered as an area of more dynamic 59 movements of whales (Wedekin et al., 2010; Baracho-Neto et al., 2012), and this could lead, in consequence, in more travelling behavior and even boat avoidance through less time in the surface. The narrow continental shelf in the North Coast also can play a role in the dive patterns, making individuals travel more in a north-south direction to keep in shallow waters characteristic of their distribution, while in the Abrolhos Bank, the core area in the Brazilian coast, more than double of density of whales (Andriolo et al., 2006a; 2006b; Wedekin et al., 2010). As the whole breathing behavior of humpbacks do include those very short intervals, we decided to keep them all in the analyzes, different from Benzamat et al. (2010) which only included intervals larger than 60 seconds, even considering that smaller intervals prevailed, being 68% of their sampling. Concluding, singer males are longer divers than other analyzed group structure, presenting similar values, of 13 minutes, to the Abrolhos Bank, distant about 500 Km from our study area in the North Coast of Bahia state. Humpback whales in North Coast spent about 85% of the direct observation in underwater activities, more than the double of time found for the Abrolhos Bank, which could indicate longer underwater occurrence due by distinct habitat use, once the north coast is seen as an area of greater movement than the Abrolhos Bank. However, even with distinct environmental features as the deeper areas of the North Coast, it does not seem to present a strong influence on dive patterns of the humpback whale in the Brazilian Breeding ground. 60 4.1) Mating System Polygyny is a mating system in which one male mates with several females during a breeding season. “Lek” is defined as a traditional display site where males gather to defend small territories that lack resources useful to females, which nevertheless visit the site to mate. Therefore, lek polygyny occurs when a polygynous male use displays to attract several females to them at small display sites (Alcock, 1993). It is well studied for other mammals such those closely related to cetaceans, the ungulates, beyond 35 bird species, frogs and even insects (see Krebs & Davies, 1993, Alcock, 1993). Clapham (1996) suggested the term ‘floating lek’ to the humpback whale mating system, emphasizing the high mobility of the singer males, in contrast with the traditional lek which present a fixed territoriality. In the present study, we present some spatial (presence of multiple group composition) and behavioral (diverse repertoire while singing) features found that support the “lek polygyny” as the mating system for the humpback whale. The singer male distribution along the study area indicate that a broad area in the breeding ground is being utilized for displaying, refusing lek influenced by “hotspot”, in which males compete for the most attractive site to display, while fitting better to lek by “hotshot” males, which may choose any place to sing and then attract females to mate and more “satellite” males, coming to maximize their mate chances by staying as close as the hotshot male (Krebs & Davies, 1993; Alcock, 1993). Connor et al. (2000) discussing on male reproductive strategies in cetaceans, state that humpback whale seems to follow the restrictive definition of lekking: (1) no male parental care, (2) an arena where males gather and females come to mate, (3) resource-free display sites, and (4) opportunities for females to exercise mate choice 61 (Clapham, 1996). However, instead to emphasize only the male-male dominance and territoriality, Connor et al. (2000) also include a broader view in which lekking behavior is found in association with other male mating strategies, as the example of male-male combat in competitive alternatively to displaying. Tyack (2000) suggest that humpback whale song plays a role in both male-male competitions and female choice, showing attributes associated with both intra and intersexual selection. To determine a precise mating system for the humpbacks is a complex task, once we still do not know many basic issues as the ideal breeding area size for any population. Thinking broader, the Brazilian population increase (Ward et al., 2006; Zerbini et al., 2006, Andriolo et al., 2006b) could lead to dispersion of young females, whose would attract different males, then forming the floating lek, either by hotspot or hotshot, and colonizing favorable adjacent areas. At the same time that in the core area, the Abrolhos Bank, male arenas would be much more competitive, then causing younger males to move northwards and search for new areas to aggregate, through singing, and then maximize mate. Furthermore, reflecting on the multi faced hypothesis of a mating system, would be important to analyze that the humpback whale population using the Brazilian breeding ground have a sex-ratio of 1.2:1, similar to the expected rate of 1:1, determined genetically by Cypriano-Souza et al. (2010). Baracho-Neto et al. (2012) also support the site fidelity similarity between genders through a long term photoidentification study in Praia o Forte, same than the present study. All these pieces together may help to create a scenario suggesting a mating system more complex than previously reported, with more fluidity of individuals, females and males, along a broad area in the Brazilian coast and ideal breeding sites 62 possibly influenced by some environmental features as the extent of the continental shelf, consequently depth gradient. Furthermore, the diversity in singer male occurrence and behavior between different group compositions could be related to the complex communicative system in humpback whales, as recently described by Freeberg et al. (2012). Future studies should include environmental and whale occurrence data in a broader temporal scale to test specifically each one of these factors and their influence in the acoustic ecology and behavior of humpback whales. 5) REFERENCES Alcock, J. 1993. Animal behavior: an evolutionary approach. Sinauer Associates, Sunderland, Massachusets. Andriolo, A.; Martins, C. C. A.; Engel, M. H.; Pizzorno, J. L. A.; Más-Rosa, S.; Freitas, A.; Morete, M. E. & Kinas, P. G. 2006a. The first aerial survey to estimate abundance of humpback whale (Megaptera novaeangliae) in the breeding ground off Brazil. Journal of Cetacean Research and Management, 8(3), 307–311. Andriolo, A., Kinas, P.G., Engel, M.E. & Martins, C.C.A. 2006b. Monitoring humpback whale (Megaptera novaeangliae) population in the Brazilian breeding ground, 2002 to 2005. IWC Scientific Committee, 12 pp. Arraut, E. M. & Vielliard, J. M. E. 2004. The song of the Brazilian population of humpback whale Megaptera novaeangliae in the year 2000: individual song variations and possible implications. Anais da Academia Brasileira de Ciências, 76(2), 373-380. 63 Au, W. W. L., Pack, A., Lammers, M. L.; Herman, L.M.; Deakos, M.H. & Andrews, K. 2006. Acoustic properties of the humpback whale song. Journal Acoustic Society of America, 120 (2),1103-1110. Baker, C., S., & Herman, L. M. 1984. Aggressive behavior between humpback whales (Megaptera novaeangliae) wintering in Hawaiian waters. Canadian Journal of Zoology, 62, 1922-1937. Baracho-Neto, C. G.; Santos Neto, E.; Rossi-Santos, M. R.; Wedekin, L. L.; Neves, M. C.; Lima, F & Faria, D. 2012. Site fidelity and residence times of humpback whales (Megaptera novaeangliae) on the Brazilian coast. Journal of the Marine Biological Association of the United Kingdom, p1 of 9, doi:10.1017/S0025315411002074. Bezamat, C.; Wedekin, L. L.; Marcondes, M. C. C; Valentin, J. L. 2010. Padrão de mergulho da baleia jubarte na concentração reprodutiva do Banco de Abrolhos, Brasil. III Congresso Brasileiro de Oceanografia – CBO’2010 Rio Grande, Brazil, 2308-2310. Bradbury, J. W., & Vehrencamp, S. L. 1998. Principals of animal communication. Sunderland, MA: Sinauer Associates. Clapham, P.J. 1996. The social and reproductive biology of Humpback Whales: an ecological perspective. Mammal Review, 26, 27-49. Clapham, P. J. & Mead, J. G. 1999. Megaptera novaeangliae. Mammalian Species, 604, 1-9. 64 Clapham, P. J. 2000. The humpback whale: Seasonal feeding and breeding in a baleen whale. Connor, R. C., Read, A. J. & Wrangham, R. Reproductive strategies and social bonds. In: Cetacean societies - Field Studies of Dolphins and Whales (Ed Mann, J., Connor, R. C., Tyack, P. L. & Whitehead, H), pp 247–269. ChicagoIL: Press.Male. Cypriano-Souza, A. L., Gabriela, P., Fernandez, C. A., Lima-Rosa, V. Engel, M. H., Bonatto, S. L. 2010. Microstellite genetic characterization of the humpback whale (Megaptera novaeangliae) breeding ground off Brazil (Breeding Stock A). Journal of Heredity, 101 (2), 189-200. Darling, J. D. & Berube, M. 2001. Interactions of singing humpback whales with other males. Marine Mammal Science, 17, 570-584. Darling J.D. & Souza-Lima R.S. 2005. Songs indicate interaction between humpback whale (Megaptera novaeangliae) populations in the western and eastern South Atlantic Ocean. Marine Mammal Science, 21, 557–566. Dawbin, W. H. & Eyre, E. J. 1991. Humpback whale songs along the coast of Western Australia and some comparison with east coast songs. Memoirs of the Queensland Museum, 30 (2), 249-254. DHN-Departamento de Hidrologia e Navegação da Marinha do Brasil. 1995. Tábua de Marés. Ekau, W. & Knoppers, B. 1999. An introduction to the pelagic system of the NorthEast and East Brazilian shelf. Archive of Fishery and Marine Research, 47, 113–132. 65 Engel, M. 1996. Comportamento reprodutivo da Baleia Jubarte (Megaptera novaeangliae) em Abrolhos. Anais de Etologia, 14, 275-284. Eriksen, N., Millar, L. A., Tougaard, J., & Helweg, D. A. 2005. Cultural change in the songs of humpback whales (Megaptera novaeangliae) from Tonga. Behaviour, 142, 305-328. Frankel, A,.S., Clark, C. W., Herman, L. M., Gabriele,C. M. 1995. Spatial distribution, habitat utilization, and social interactions of humpback whales, Megaptera novaeangliae, off Hawaii, determined using acoustic and visual techniques. Canadian Journal of Zoology.73, 1134-1146. Freeberg, T. M., Ord, T.J. & Dunbar, R. I. M. 2012. The social network and communicative complexity: preface to theme issue. Philosophy Transactions Royal. Society, 367, 1782-1784. Hatge, V & Andrade, J.B. (2009) Baía de Todos os Santos: Aspectos Oceanográficos. Editora da Universidade Federal da Bahia, 264p. Helweg, D. A., Cato, D. H., Jenkins, D .F., Garrigue, C. & McCauley, R. D. 1998. Geographic variation in South Pacific humpback whale songs. Behaviour 135, 1-17. Herman, L. M. & Tavolga, W. N. 1980. The communication systems of cetaceans. In: Cetacean Behavior: Mechanisms and Functions (Ed. by L. M. Herman), pp. 149– 209. New York: J. Wiley. Hoyt, E. 2001. Whale watching 2001: worldwide tourism numbers, expenditures and expanding socioeconomic benefits. IFAW Yarmouth Port. 66 IWC. 1998. Report of the Scientific Committee. Reports of the International Whaling Commission, 48, 55–302. Krebs, J. R. &. Davies, N. B. 1993. An introduction to behavioral ecology. 3a ed. Blackwell Scientific Publications, Oxford. Lodi, L. 1994. Ocorrências de baleias-jubarte, Megaptera novaeangliae, no Arquipélago de Fernando de Noronha, incluindo um resumo de registros de capturas no Nordeste do Brasil. Biotemas, 7(1), 116-123. Lunardi, D. G., Engel, M. H., Marciano, J. P. & Macedo, R. H. 2010. Behavioural strategies in humpback whales (Megaptera novaeangliae) in a coastal region of Brazil. Marine Biological Association of the United Kingdom, 90 (8), 1693-1699. Maeda, H., Higashi, N., Uchida, S., Sato, F., Yamaguchi, M., Koido, T. & Takemura, A. 2000. Songs of humpback whales, Megaptera novaeangliae, in the Ryukyu and Bonin regions. Mammal Study, 25, 59-73. Mann, J., Connor, R. C., Tyack, P. L. & Whitehead, H. 2000. Cetacean Societies: Field Studies of Dolphins and Whales. Chicago, IL: Chicago Press. McGregor, P. K. & Krebs, J. R. 1984. Song Learning and deceptive mimicry. Animal Behaviour 32, 280-287. McSweeney, D. J., Chu, K. C., Dolphin, W. F. & Guinee, L. N. 1989. North Pacific humpback whale songs: A comparison of southeast Alaskan feeding ground songs with Hawaiian wintering ground songs. Marine Mammal Science, 5, 139–148. Morete, M.E., Bisi, T. & Rosso, S. 2007. Temporal pattern of humpback whale (Megaptera novaeangliae) group structure around Abrolhos Archipelago breeding 67 region, Bahia, Brazil. Journal of the Marine Biological Association of the United Kingdom, 87, 87–92 Naguib, M. 1998. Perpection of degradation in acoustic signals and its implications for ranging. Behavior. Ecology. Sociobiology. 42, 139-142. Olviedo, L., Guzman, H. M., Floréz-Ganzalés, L., Capella Alzueta, J. & Mair, J. M. 2008. The song of the southeast Pacific humpback whale (Megaptera novaeangliae) off Las Perlas Archipelago, Panama: preliminary characterization. Aquatic Mammals, 34 (4), 458-463. Payne, S. & McVay, S. 1971. Songs of humpback whales. Science, 173, 585–597. Peres, G. B. 2006. Caracterização do tempo de mergulho em baleia jubarte (Megaptera novaeangliae) no Arquipélago de Abrolhos, Bahia – Brasil. Trabalho de Conclusão do Curso de Graduação em Ciências Biológicas, Universidade Federal de Santa Catarina. Podos, J. 2001. Correlated evolution of morphology and vocal signal structure in Darwin’s finches. Nature, 409, 185-188. Podos, J. E., Southall, J. A., Rossi- Santos, M. R. 2004. Vocal mechanics in Darwin´s finches: correlations of beak gape and song frequency. Journal of Experimental Biology, 207, 607 – 619. Palsboll, P.J., Allen, J., Berube, M., Clapham, P.J., Feddersen, T. P., Hammond, P.S., Hudson, R.R., Jorgensen, H., Katona, S., Larsen, A.H., Larsen, F., Lien, J., Mattila, D.K., Sigurjonsson, J., Sears, R., Smith, T., Sponer, R., Stevick, P., and Oien, N. 1997. Genetic tagging of humpback whales. Nature, 388, 767–769. 68 Rossi-Santos M.R., Neto E.S., Baracho C.G., Cipolotti S.R., Marcovaldi, E. & Engel, M. H. 2008. Occurrence and distribution of humpback whales (Megaptera novaeangliae) on the north coast of the State of Bahia, Brazil, 2000–2006. ICES Journal of Marine Science, 65, 667–673. Spitz, S.S., Herman, L. M.; Pack, A. A. & Deakos, M. H. 2002. The relation of body size of male humpback whales to their social roles on the Hawaiian winter grounds. Canadian. Journal of Zoology, 80, 1938 – 1947. Tavares, J. S. 1916. A pesca da Baleia no Brasil. Brotéria, Revista de Sciencias Naturaes: Série de Vulgarização Scientífica, 14, 69-80. Tollenare, L.F. 1961. A pesca da baleia (pelo Recôncavo Baiano – 1817) (org Bruno, E.S. & Riedel), pp. 63-79Histórias e Paisagens do Brasil – Coqueirais e Chapadões – Bahia e Sergipe. Editora Cultrix, São Paulo. Towsend, C. D. 1935. The distribution of certain whales as shown by logbooks of American Whaleships. Zoologica, 19 (1), 2-50. Tyack, P. 2000. Functional aspects of cetacean communication. In: Cetacean Societies: Field Studies of Dolphins and Whales (Ed Mann, J., Connor, R. C., Tyack, P. L. & Whitehead, H), pp 270-307. Chicago, IL: Chicago Press. Wedekin, L. L.; Neves, M.; Marcondes, M.; Baracho, C.; Rossi-Santos, M. R.; Engel, M. & Simões-Lopes, P. C. 2010. Site fidelity and movements of humpback whales (Megaptera novaeangliae) in the Brazilian breeding ground, southwestern Atlantic. Marine. Mammal. Science., 26 (4), 787-802. 69 Whitehead, H. 1981. The behaviour and ecology of the Northwest Atlantic humpback whales. Ph.D. thesis. University of Cambridge, Cambridge, 256 pp. Whitehead, H. & Moore, M. J. 1982. Distribution and movements of West Indian humpback whale in winter. Canadian. Journal of Zoology, 60, 2203-2211. 70 Artigo 2 – Estrutura acústica e variação temporal do comportamento de canto em baleias jubarte (Megaptera novaeangliae), na área de reprodução da costa do Brasil. Marcos R. Rossi-Santos 1,2 , Leonardo L. Wedekin1, Elitieri Santos-Neto1, Clarêncio G. Baracho-Neto1, Sérgio R. Cipolotti1, Enrico G. Marcovaldi1, Flávio J. L. Silva2,3 1- Instituto Baleia Jubarte 2- Universidade Federal do Rio Grande do Norte 3- Universidade Estadual do Rio Grande do Norte ANIMAL BEHAVIOR (A1 – Fator Impacto 2,926) A ser submetido 71 RESUMO Em áreas tropicais de acasalamento, o macho da baleia jubarte produz sons estereotipados e repetidos que combinados formam o canto, um dos mais complexos comportamentos do reino animal. Há muito tempo é desenvolvido um esforço de pesquisa sobre qual é a função do som no comportamento reprodutivo da espécie, comumente atribuído a servir como um comportamento acústico para a seleção intra e intersexual. Apesar de décadas de estudos sobre o canto da baleia jubarte no mundo, algumas características básicas como a variação de parâmetros de tempo e frequência em uma escala ampla, incluindo as unidades sonoras ou notas que servem como base para serem agrupadas em frase e estas em temas, formando o canto, são pouco discutidas. Este trabalho tem como objetivo descrever os cantos da baleia jubarte em uma ampla escala na área de reprodução do Brasil, que inclui a área de concentração do Banco de Abrolhos (16-19º S, 37-39º W) e a Costa Norte adjacente (11-14º S, 37-38º W) aplicando o conceito de ecologia acústica, nas comparações da complexidade do canto em duas regiões da mesma área de reprodução. A freqüência do canto da baleia jubarte variou de 20 a 24000 Hz, com a freqüência central média de 596 Hz. A variação temporal para as notas do canto foi de 0,13 a 6,55 segundos, enquanto a energia sonora foi registrada entre 62 e 130 dB (re SNR). Nós também encontramos uma alta diversidade na forma do canto dentro e entre as duas regiões analisadas. No Banco de Abrolhos, o número de diferentes tipos de notas variou de 14 a 40 e o numero de temas em um canto variou de 7 a 15, enquanto na Costa Norte os tipos de nota variaram entre 10 a 21 e os temas entre 6 e 8. Mais de um macho cantor foram registrados in 58% das gravações analisadas (n=12), algumas vezes evidenciando o comportamento de coro. Nós discutimos sobre a alta diversidade na forma dos cantos e amplo espectro 72 de freqüência, relacionados com características ecológicas evidentes, como a profundidade e a plataforma continental e o coro como uma parte da arena de reprodução necessária para engatilhar alguns dos comportamentos da baleia jubarte durante seu período de reprodução no Brasil. Palavras-chave: Baleia jubarte, Megaptera novaeangliae, estrutura do canto, área de reprodução no Brasil. 73 Acoustic structure and temporal variation in the song of humpback whales (Megaptera novaeangliae) from the Brazilian Breeding Ground ABSTRACT In tropical breeding areas, the male humpback whale produces highly stereotyped and repeated sounds which combined form the song, one of the most complex animal displays. There is a long time research effort in decipher the role of songs in the reproductive behavior of the species, commonly attributed to serve as an acoustic display for intra and inter-sexual selection. Despite the decades of humpback song studies around the world, some basic characteristics, such as their temporal and frequency parameters in a broad range, including different song units or notes, which serve as the basis to be grouped into phrases and then to themes, forming the song, are barely discussed. This work aims to describe humpback whale songs in a wide geographic scale in the Brazilian breeding ground, which includes the core area of Abrolhos Bank (16-19º S, 37-39º W) and the adjacent North Coast (11-14º S, 37-38º W), applying the concept of acoustic ecology in the comparisons of song complexity into two regions of the same breeding area. Humpback whale song frequency varied from 20 to 24000 Hz, with mean central frequency of 596 Hz. Temporal variation for song notes ranged from 0,13 to 6,55 seconds, while sound energy was registered between 62 and 130 dB (re SNR). We also found a high diversity in the song form, within and between the two analyzed regions. In Abrolhos Bank, the number of different note types which composed a song changed from 14 to 40 and the number of themes in a song varied from 7 to 15, while in North Coast note types varied from 10 to 21 and themes from 6 to 8. More than one singer male were registered in 58% of the recordings (n=12), sometimes evidencing the chorus 74 behavior. We discuss about the high diversity on song form and broad frequency range related to ecological remarkable features such as depth and continental shelf, and the chorus as a part of the breeding arena necessary to trigger some of the humpback behavior during their breeding season in Brazil. Key words: Humpback whale, Megaptera novaeangliae, song form, acoustic ecology, Brazilian breeding ground 75 1) INTRODUCTION Humpback whale song was described as the most elaborated and spectacular single display of any animal species (Wilson, 1975). The song was initially described in detail by Payne & McVay (1971) and Winn et al (1971). Extensive analyses of this unique vocal behavior have revealed that: (1) males produce stereotyped, ordered sequences of sounds for long periods, (2) at any given time, sequences produced by individuals within a breeding area are highly similar (Winn et al., 1981; Payne & Guinee, 1983), and (3) whales continuously modify these sequences over time (Payne et al., 1983; Payne & Payne, 1985). Explanations for the structural and acoustic features of humpback whale songs remain speculative. Because most researchers assume that songs are used primarily for long distance communication (Payne & McVay, 1971; Winn & Winn, 1978; Tyack, 1981; Helweg et al., 1992; Frankel et al., 1995; Cerchio et al., 2001; Darling & Bérubé, 2001), song features often are interpreted in terms of how they might facilitate the transfer of information among whales (Winn & Winn, 1978; Frankel, 1995). Additionally, song properties could reflect strategies for collecting environmental information, if components of songs are used as echolocation signals (Winn & Perkins, 1976; Winn & Winn, 1978; Frazer & Mercado, 2000; Au et al., 2001). Singers mostly appear as alone males (Winn and Winn 1978, Tyack 1981), yet some have been documented as singing in groups (Baker and Herman 1984) and while moving (Frankel et al. 1995). Singing appears to be most prevalent on the winter breeding grounds, despite also recorded on the Alaskan (McSweeney et al. 1989) and Gulf of Maine (Mattila et al. 1987) feeding grounds and during migration (Clapham, 1996, 2000). 76 Humpback whale songs show clear structure based on aural analysis, with smaller repetitive units called “phrases” organized into larger “themes” which tend to occur in specific sequence (Payne and McVay, 1971, Guinee et al., 1983) (figure 1). The structure of song changes over the course of a winter season, yet at any given time all singers appear to be singing the same version of a song (Guinee et al., 1983, Payne et al., 1983, Payne and Payne, 1985). The relationship between singing and seasonal gonadal activity suggests that song production plays a role in the mating system. While humpback whale song appears to be the result of strong sexual selection (Tyack, 1981, Smith, 2008), its function in the mating system remains unclear. Helweg et al. (1992) presented a detailed summary of current hypotheses regarding the role of humpback whale song, but its role is still far from certain. A number of possible functions of song have been proposed, including sexual advertisement to females (Payne and McVay, 1971; Winn and Winn, 1978; Tyack 1981, 2000), maintenance of spacing and territorial defense among singing males (Winn and Winn, 1978; Tyack, 1981; Frankel et al. 1995), inducement or synchronization of ovulation in females (Baker and Herman 1984), and a navigational “beacon” for migrating whales (Winn and Winn 1978). Songs of humpback whales are typically recorded close to a whale in order to maximize the signal-to-noise ratio. However, when sounds are recorded at large distances from any whale, a number of whales singing may sound as in a chorus, although they do not sing in unison on the same portion of a song (Au et al., 2000). The most studies bring acoustic information only by spectrograms (eg. Payne & McVay, 1971; Winn et al., 1981; Arraut & Velliard, 2004).The evolution in the study of the humpback whale frequency range is proportional with the advance in technology. The initial studies reported song range between up to 5-8 kHz (Payne & 77 Mac Vay, 1971; Winn et al., 1971), and thereafter it goes up to 15-24 kHz (Helweg et al., 1992; Au et al., 2000, 2001, 2006; Fristrup et al., 2003). Mercado et al. (2003) measured acoustic patterns in humpback whale songs recorded in Hawaiian waters during four consecutive years (1992–1995) to determine whether subcomponents of songs differ in their detectability after long-range propagation. Such analyses can provide important insights into the functions of humpback whale songs. Singing whales most often are reported to be alone (Winn & Winn, 1978; Tyack, 1981) although there are exceptions (Baker & Herman, 1984). It is generally accepted that singing is done by males where calves are being born and seasonal gonadal activity is high (Chittleborough, 1955; Payne & McVay, 1971). This work aims to describe humpback whale songs in a wide geographic scale in the Brazilian breeding ground which includes the core area of Abrolhos Bank and the adjacent North Coast, comparing song form in different marine landscapes, adapting the Acoustic Ecology concept of Truax (1999), who define it as the study of relations between biological organisms and their sonic environment, or soundscape. 78 79 Figure 1: Representation of the types of structural components typically present in sequences of sounds produced by singing humpback whales (Megaptera novaeangliae). Each letter represents one sound. Each individual sound is called a unit (different letters correspond to aurally distinctive sound units). Repeated groups of units are called phrases (black lines). A theme is a set of phrases (gray line). Songs consist of repeated theme sequences within a song session (1 to 4 complete the cycle, thereafter song session starts again). 2) MATERIAL AND METHODS 2.1) Study Area and Population Stock We conducted this study, from 2005 to 2010, at the Northeastern Brazilian coast during the breeding season (July to October) of the Southwestern Atlantic Ocean humpback whale population, known as Breeding Stock A (BSA) by the International Whaling Commission (IWC, 1998). Humpback whale songs were recorded along the study area, grouped in two main regions: Abrolhos Bank (16-19º S, 37-39º W) and North Coast (11-14º S, 37-38º W) (figure 2). 80 Figure 2 – Humpback whale (Megaptera novaeangliae) study area off Northeastern Brazil (Breeding Stock A), divided in two regions: a southern region, the Abrolhos Bank and a northern region, named North coast, located between Itacaré (BA) and Aracaju (SE). The line represents the 200 meters isobath, demarking the Brazilian continental shelf. Recordings were made by deploying a hydrophone from a small boat positioned less than 50 m from the singing whale. During this period diverse recording equipment was utilized, according to the increase of technology available in Brazil. Therefore, sound data collected from 2005 to 2008 were made using an uncalibrated HTI – SSQ 96 hydrophone (sensitive to 20 kHz) that was connected to a Sony TCD5-M cassette recorder, frequency response up to 17 kHz). From 2008 to 2010 we utilized a CR 54 hydrophone connected to a digital recorder (M-Audio Microtrack Pro-II), increasing the frequency response up to 96 kHz. 81 Analyzes were first made both by listening and by visually comparing spectrograms, which are sound graphics with x-axis on time (seconds) and y-axis on frequency (Hertz). Spectrographic analyzes were performed using software RAVEN 3.1, selecting the following frequency parameters (Hertz), relative sound intensity (dB re SNR - referenced to the Signal to Noise Ratio) and time (seconds): minimum, maximum, central frequency, frequency amplitude, energy and duration. Whenever found, the harmonics and their intervals were also measured, as well as the visual contour shape from each note. 3) RESULTS During 6 years we obtained a record effort of more than 50 hours. From these raw data, we selected “type” songs from each sampled year, for both areas of Abrolhos Bank and the North Coast, chosen by containing all the characteristic phrases of the song from that year, as well by presents the best signal to noise ratio. In some years, like 2007, more than one song was selected, produced at different time during the breeding season, due to its high quality to extract additional acoustic information. 3.1) Acoustic parameters We measured a sample of 2868 component notes to describe the acoustic parameters of the humpback whale song in the Brazilian breeding ground. Data showed a wide frequency variation, typical from the long and complex humpback whale song, ranging from 20 Hz to the top of sampling rate (24,000 Hz), short duration notes (mean = 1,06 sec) and sound energy from 60 to 130 dB re SNR (table 82 1). However some features are remarkable, such as the mean central frequency at low frequency (596 Hz) (figure 3) and the intense sound energy putted into sound transmission (mean= 105 dB). Harmonics were registered in 2098, 73 % of the measured notes, varying in number of 1 to 85 (mean = 10,4). Harmonic intervals ranged from 10,3 to 4309 Hz (mean = 405). Table 1: Acoustic parameters from the humpback whale (Megaptera novaeangliae) song (sample = 2868 notes), in the study area, Northeastern Brazilian coast. Sample = Minimum 2868 Maximum Central Frequency Duration Frequency Frequency Frequency Amplitude Energy (s) (dB) (Hz) (Hz) (Hz) (Hz) 20 110 21,5 80,2 0,13 62 Maximum 5245 24000 6421,9 24000 6,55 130,4 Mean 224,4 4422 596 4198 1,06 105 St.Dev. 391 4695 625 4658 736 8,7 Minimum 83 Figure 3: Combination of spectrograms, a sound graphic with x-axis on time (seconds) and y-axis on frequency (kiloHertz), exemplifying some of the different humpback whale (Megaptera novaeangliae) notes with its remarkable mean central frequency around 500 Hz (indicated by black circles) Blue line graphs above represent the respective oscilograms or waveforms, sound graphics with x-axis on time (seconds) and y-axis on pressure (ku). 3.2) The humpback whale song form The song form, with descriptive information on the total number of notes, number of different notes and number of themes was represented by some best quality recording of each year for the Abrolhos Bank (table 2) and for the North Coast (table 3). Additionally, the number of singer males that could be heard at the background noise without confuse the main singer was also recorded. 84 Table 2: Humpback whale (Megaptera novaeangliae) song characteristics from the northeastern Brazil (Abrolhos Bank), between 2005 and 2008, showing recording information –file identification and day-, file duration (minutes:seconds), total number of notes, different note types, number of themes and number of singers registered in each recording file. SONG# DAY DURATION TOTAL NOTE N N (m:s) NOTES TYPES THEMES SINGERS ABL 2005 26jul05 12:20 160 14 8 >3 ABL 11:20 200 16 10 2 24:12 290 21 8 2 20:00 151 39 12 1 16:25 220 40 15 3 21Out08 56:14 188 24 7 1 2006a ABL 2006b ABL2007- 10Jul07 1 ABL20072 ABL2008 85 Table 3: Humpback whale (Megaptera novaeangliae) song characteristics from the northeastern Brazil (North Coast), between 2005 and 2010, showing recording information –file identification and day-, file duration (minutes:seconds), total number of notes, different note types, number of themes and number of singers registered in each recording file. SONG # DAY DURATION TOTAL NOTE N N (m:s) NOTES TYPES THEMES SINGERS ITA2005 20Ago05 50:00 212 17 8 2 F_ITA2006 06Ago06 35:00 131 21 8 1 20:00 78 14 6 1 FtVD-2008 ITA2009 04Ago09 35:00 101 12 6 2 PF2009 18Ago09 35:00 180 15 7 2 PF2010 Ago10 30:00 85 10 6 1 The diversity in our recording systems evidenced that the humpback whale song has a wider frequency range than previously commented, with some notes exceeding the frequency response in some occasions (figure 4). 86 Figure 4: Spectrogram showing humpback whale (Megaptera novaeangliae) notes surpassing the frequency response (24 kHz) of recording equipment (some evident notes indicated by arrows) utilized in the acoustic study off Northeastern Brazil. Behavioral observations of 50 minutes, simultaneous to the song recording of FV_ITA2006 sequential files, made at 34 meters deep, indicated that the singer male stops singing once blowing at the sea surface in short dive times (less than 30 seconds), when silent moments were registered (figure 5). Figure 5: Spectrogram exemplifying one minute window from the FV_ITA2006 recording, indicating silent moments (black rectangles) once blowing at the sea 87 surface during short dives (less than 30 seconds) of the humpback whale (Megaptera novaeangliae) in Northeastern Brazil. 3.3) Chorus behavior During many times (66% = 7 from the 12 files presented in tables 2 and 3) we could register the presence of more than one simultaneous singer male at the recordings, identified by the different intensities in sound caption, plus overlay of different song parts in the same file. More than two singer males, and even more than 3, were registered only in the Abrolhos Bank in two occasions (33% of 6 files). After sound analyzes it was interestingly remarkable that when more than one male was singing, forming a chorus, the predominant song structure was much simpler song part than during singing of only one male, and composed, for example, by a long (4 sec) whistle and a short hiccup, or even a long moan (figure 6). Figure 6: Spectrogram exemplifying multiple male singing of the humpback whale (Megaptera novaeangliae), characterized by simpler parts of the song, in their breeding area off Northeastern Brazil (different colors exemplify different singers). 88 4) DISCUSSION 4.1) Acoustic parameters Despite the long list of studies in more than 40 years of research about the singing behavior of humpback whales (eg. Payne & McVay, 1971; Tyack, 1981; Payne & Payne 1985; Helweg et al., 1998; Mercado et al., 2003; Au et al., 2006), still there are few descriptive studies that present numeric values for frequency, duration and sound intensity. This work brings the first song description in the Brazilian coast, outside the Abrolhos Bank, showing that humpbacks are utilizing a broader acoustic environment for their breeding activities than previously reported. Frequency parameters varied from 20 Hz (minimum) to 24000 Hz (maximum), being the interval between mean frequencies of 224,4 a 4422 Hz, duration of 0,13 to 6,5 seconds (mean = 1,06) and sound energy ranging from 62 to 130,4 dB (re SNR) (mean = 105). Oviedo et al., (2008), studying at Las Perlas Archipelago, Panama Gulf, reported frequency parameters for year 2006, such as the minimum frequency (129,2 to 575,7 Hz), maximum (1151,7 to 2879,6 Hz) and note duration (0,79 to 5,50 s) and, for 2007, the minimum frequency (129 to 1076 Hz), maximum (2368 to 4866 Hz) and note duration (0,66 to 11,4 s). Number of notes varied from 13 to 15. Same authors also describe the environment as being calm and shallow waters, contributing to the whale breeding cycle, similar to the oceanographic conditions we observe in the Abrolhos Archipelago. Arraut & Vielliard (2004), in Abrolhos Bank, reported 24 notes and 5 themes as the humpback whale song structure, during the breeding season of 2000, bringing 89 only spectrograms as a physical reference for the acoustic parameters, with frequency axis ranging from 500 to 2000 Hz. Thus the present work show similar frequency values from other geographical areas, such as the Panama Gulf (Olviedo et al., 2008), however, apparently by the spectrograms reported by Arraut & Vielliard (2004), song varied temporally inside the same breeding area off Brazil. Another relevant finding from this study is the high frequency harmonic occurrence reaching the top of the frequency response (24 kHz). Au et al., (2006) reported high frequency harmonics for the humpbacks in the Hawaiian waters, suggesting the species may show a upper hearing limit as high or higher than this value. The humpback whale song in this work seems to be more diverse and complex than other reported areas, such as in Hawaii, where Au et al., (2006) described 9 notes compounding the song of 2002. For the Brazilian coast, Arraut & Vielliard (2004) identified a similar number of notes, grouped into 5 themes, in the breeding season of 2000. This may represent the gradual modification described in literature (eg. Payne et al., 1983; Payne & Payne, 1985) e o aporte de dados dos anos subsequentes poderá contribuir com uma melhor interpretação deste resultado. The values for maximum frequency were larger than previously reported, which could indicate a better signal adaptation to the specific Brazilian acoustic environment. In this case, there is a big difference between the depth gradient utilized by the whales in places like the Abrolhos Bank and the environment of the narrow continental shelf from Itacaré to Aracaju. This consideration is strengthen by the harmonic values reported for Hawaii (Au et al., 2006), where the depth is similar to part of our study area, which include deeper waters. Biological implication of this 90 would be a maximization of the reproductive signal travelling across the acoustic environment to increase the mate opportunities during the time-limited breeding season. Thus, beyond the descriptive analyzes of the acoustic parameters for the song, this work bring information of the relations between song frequency and duration with the acoustic environment in which it is produced, stating that differences may occur even in a smaller geographic area, such as inside the same breeding area, where environmental differences may result in distinct song components, as shown with the maximum frequency and note duration. Also, seems to be obvious that the advance in technology in the last decades have shown a broader frequency spectra utilized by humpback whales. In this way, the first decade in the “boom” of humpback song research was the 70´s, where notes were registered below 5 kHz (eg. Payne & Mac Vay, 1971, Winn, 1978) as well as during the 80´s (eg. Payne & Payne, 1985). The digital recording “Era” increased more than twice the previous frequency response, bringing the higher frequencies identifiable to the humpback repertoire (eg. Au et al, 2006, Mercado et al., 2003, present work). 4.2) Song form We found a diverse and complex song structure along the time, resulting in remarkable differences within a 6 years period of study (2005 to 2010). Such differences are broader than previously commented, even considering the differences inside the same breeding area, where environmental characteristics may contribute with signal diversity and specificity. 91 Payne & Payne, 1985 analyzed and compared humpback whales songs in Bermuda for 13 years, between 1957 and 1975. They found that song changed conspicuously and progressively with time, being the songs separated by a number of years were very different in content. Furthermore, all the songs showed basic structural similarities making possible to define a song form which characterizes songs from many years. Such analyses demonstrated high inter and intra-individual variability, none of which is as great as the variation between songs of consecutive years. Our study is the first long term acoustic description to both Atlantic and Pacific coasts of South America, bringing important information on temporal variation in the humpback whale songs to this area. Winn & Winn (1978) suggested that because low frequencies within humpback whale songs are attenuated less than high frequencies during propagation, higher frequency units might be used for transmission over short ranges whereas lower frequency units might be used for longer ranges. Mercado & Frazer (1999) add to this notion that it also depends on the depth where whales sing, because in shallow water environments in Hawaii, the lowest frequencies they produce do not propagate as far as the higher frequencies they produce). Mercado et al (2003) also pointed out that no single frequency will propagate optimally to all positions within the water column. Thus, increasing the range of produced frequencies could increase the number of positions within a shallow water environment from which the sound could be detected. Another possible argument to the high variability found in the form of humpback whale song in the Brazilian coast (present study) could be related to the high capacity of copying in humpbacks, controlling changes over time that can abruptly be modified (Noad et al., 2000), which suggest that individual whales select 92 patterns and units to include in songs based on their recent experience, or kept in use during next seasons (Payne & Payne, 1985; Cato, 1991; Mercado et al., 2005). Furthermore, Mercado et al. (2005) discuss on song copying by humpback whales as being an open process in the spectral domain in that specific frequencies could be utilized by each different individual within or across years and that species-specific constraints determine song form and regionalization. These affirmations could, in part, explain the present results on the diversity of song structure between the two regions, the Abrolhos Bank and the North Coast of our study area. Sequences of alternating tonal and pulsed units in humpback whale songs also could be possibly related to internalized ‘inspiration’ and ‘expiration’ of air during sound production (Mercado et al., 2003). Further studies involving size estimation in the two regions of our study area could help to elucidate the matter of body size and song diversity, comparing song production among individuals of different sizes. Despite the high variability within and between seasons, some song components are said to recur for over decades (Payne & Payne, 1985; Mercado et al., 2003) indicating important features which may be maintained during time to build an effective communication system. 4.2.1) Song form diversity and function It is still debated the complete role that songs serve for (revised in Parsons, 2008). The behavior that accompanies singing indicates that it probably plays a part in courtship analogous to the role of singing in birds (Tyack 1981). Some authors say that it is primarily for inter- and intra-sexual advertisement, informing females about the location and reproductive fitness of singers, and informing other males about the location of singers to produce spacing among multiple singers (reviewed by Helweg 93 et al., 1992; Clapham, 1996), or advertising the fitness of males (Darling & Bérubé, 2001). A different interpretation of the function of the song involving a cooperative male behavior during group formation in discussed by Darling et al., (2006). 4.3) Chorus behavior The chorus behavior is described as a part of the complex leking, where males tend to defend resources to which females are attracted, in this last case gain from stimulus pooling by displaying together and providing greater attraction for females (Krebs & Davies, 1993). This strategy has been largely studied for ungulate, bats and frogs (revised in Krebs & Davies, 1993). While much attention has been given to the characteristics of songs, few studies go into the chorus behavior by multiple humpback whales (Au et al., 2000). Thompson and Friedl (1982) were the first to mention chorusing for the humpbacks in Hawaii, finding seasonality and daytime preference for chorusing in a breeding area. Au et al. (2000) described spectral features as well temporal utilization of the chorus behavior in the humpbacks during the 1998 Hawaiian season, showing spectral peaks at 315 Hz and 630 Hz. Their data also indicated a diurnal pattern in the sound pressure level, with levels at night significantly louder than the daytime levels, attributing different mating strategies to the species during a night and day scale, in which competitive groups are more frequent during the day, requiring more visual contact, while chorusing are more frequent during the night time. Our study brought for the first time the chorus perspective to the humpback whale acoustic ecology in the Brazilian waters. The higher occurrence of chorus found in the Abrolhos Bank could indicate that this behavior should act as a trigger to the female choice as described for the terrestrial leks (Alcock, 1993; Krebs & Davies, 94 1993). Listening to an intense chorus, females would be guided to a good area concerning the search for a mate. Additionally, we are in accordance to the Au et al. (2000) suggestion of the viability of using different levels of chorusing to monitor and estimate the relative abundance of male humpback whales in the Brazilian breeding ground. Summarizing, there are numerous hypotheses on the implications of the humpback whale song, many of which are not mutually exclusive. The fact is that many aspects of the humpback whale song components remain unknown, such as what are the reasons to keep for a longer time some components instead other and what kind of significance it has on reproductive success over time. The humpback whale, as a migratory animal, requires a broad geographic scale to develop essential activities such as feeding and breeding, for consequence implying on a huge logistical structure to access their habits in accordance to such large scale. The Ocean is a challenging environment to man, in the path of an ecological comprehension and global vision. Therefore, we still know very few about the whole implication of the humpback whale role in this broad oceanic scale. Perhaps in a near future, besides with the necessary technology to the understanding of oceanic processes in a deeper approach, we will find in the humpback whale song a key to last a long time with respect to this planet. 5) REFERENCES Alcock, J. 1993. Animal behavior: an evolutionary approach. Sinauer Associates, Inc-5th ed., Sunderland, Massachusets, 625 pp. 95 Arraut, E. M. & Vielliard, J. M. E. 2004. The song of the Brazilian population of humpback whale Megaptera novaeangliae in the year 2000: individual song variations and possible implications. Anais da Academia Brasileira de Ciências, 76(2), 373-380. Au, W. W. L.; Mobley, J.; Burgess, W., Lammers, M. &. Nachtigall, P. E. 2000. Seasonal and diurnal trends of chorusing humpback whales wintering in waters off western Maui. Marine Mammal Science, 16, 3, 530-544. Au, W. W. L., Darling J., Andrews K. 2001. High-frequency harmonics and source level of humpback whale songs. Journal Acoustic Society of America, 110, 2770. Au, W. W. L., Pack, A., Lammers, M. L.; Herman, L. M.; Deakos, M. H. & Andrews, K. 2006. Acoustic properties of the humpback whale song. Journal Acoustic Society America, 120 (2), 1103-1110. Baker, C. S. & Herman, L. M. 1984. Aggressive behavior between humpback whales (Megaptera novaeangliae) wintering in Hawaiian waters. Canadian Journal of Zoology, 62, 1922-1937. Cato, D. H. 1991. Songs of humpback whales: The Australian perspective. Memoirs of Queensland Museum, 30, 277-290. Cerchio, S., Jacobsen, J. K. and Norris, T. F. 2001. Temporal and geographical variation in songs of humpback whales, Megaptera novaeangliae: Synchronous change in Hawaiian and Mexican breeding assemblages. Animal Behaviour, 62, 13329. 96 Chittleborough, G. 1955. Puberty, physical maturity, and relative growth of the female humpback whale, Megaptera nodosa (Bonnaterre) on the Western Australian coast. Australian Journal Marine. Preshw, 6, 315-27. Clapham, P. J., Palsbedl, K. Mattila, D., Vasquez, O. 1992. Composition and dynamics of humpback whale competitive groups in the West Indies. Behaviour, 122, 182-194. Clapham, P.J. 1996. The social and reproductive biology of Humpback Whales: an ecological perspective. Mammal Review, 26, 27-49. Darling, J. D. & Berube, M. 2001. Interactions of singing humpback whales with other males. Marine Mammal Science, 17, 570-584. Darling, J.D. & Souza-Lima, R.S. 2005. Songs indicate interaction between humpback whale (Megaptera novaeangliae) populations in the western and eastern South Atlantic Ocean. Marine Mammal Science, 21, 557–566. Frankel, A. S. 1995. Interindividual variation in the songs of humpback whales. Journal of the Acoustical Society of America, 99, 2556. Frankel, A. S., Clark, C. W., Herman, L. M., Gabriele, C. M. 1995. Spatial distribution, habitat utilization, and social interactions of humpback whales, Megaptera novaeangliae, off Hawaii, determined using acoustic and visual techniques. Canadian Journal of Zoology.73, 1134-1146. Frazer, L. N. & Mercado, E. III. 2000 A Sonar Model for Humpback Whale Song. IEEE Journal of Oceanic Engineering, 25, 160-182. 97 Fristrup, K. M., Hatch L. T, Clark, C. W. 2003. Variation in humpback whale (Megaptera novaeangliae) song length in relation to low-frequency sound broadcasts. Journal of the Acoustical Society of America, 113, 3411-3424. Guinee, L,. N., Chua, K. & Dorsey, E. M. 1983. Changes over time in the songs of known individual humpback whales (Megaptera novaengliae). In: Communication and behavior of whales (Ed R Payne), pp 59-80. Boulder, CO: Westview Press. Hatch, L., Clark, C., Merrick, R., Van Parijs, S., Ponirakis, D. 2008. Characterizing the relative contributions of large vessels to total ocean noise fields: A case study using the Gerry E. Studds Stellwagen Bank National Marine Sanctuary. Environ Manage, 42(5), 735-752. Helweg, D. A., Farnkel, A. S., Mobley, J., Herman, L. M. 1992. Humpback whale song: our current understanding. In: Marine Mammal Sensory Sistems (Ed. Thomas, J. A., Kastelein, R. A. & Supin, A. S.), pp 459-483. New York: Plenum. Helweg, D. A., Cato, D. H., Jenkins, D .F., Garrigue, C. & McCauley, R. D. 1998. Geographic variation in South Pacific humpback whale songs. Behaviour 135, 1-17. IWC. 1998. Report of the Scientific Committee. Reports of the International Whaling Commission, 48, 55–302. Krebs, J. R. &. Davies, N. B. 1993. An introduction to behavioral ecology. 3a ed. Blackwell Scientific Publications, Oxford. Mattila, D,. K., Guinee, Mayo, C. A. 1987. Humpback whale songs on a North Atlantic feeding ground. Journal of Mammalogy, 68, 880-883. 98 McSweeney, D. J., Chu, K. C., Dolphin, W. F. & Guinee, L. N. 1989. North Pacific humpback whale songs: A comparison of southeast Alaskan feeding ground songs with Hawaiian wintering ground songs. Marine Mammal Science, 5, 139–148. Mercado, E. III & Frazer, L. N. 1999. Environmental constraints on sound transmission by humpback whales. Journal of the Acoustical Society of America, 106, 3004-3016. Mercado, E. III, Herman, L. M., Pack, A. A. 2003. Stereotypical sound patterns in humpback whale songs: usage and function. Aquatic Mammal, 29, 37-52. Mercado, E. III, Herman, L. M., Adam, M., Pack, A. 2005 Song copying by humpback whales: themes and variations. Animal Cognition, 8, 93-102 Miller, P. J., Biassoni, N., Samuels, A., Tyack, P. L. 2000. Whale songs lengthen in response to sonar. Nature, 405 (6789), 903. Noad, M .J., Catom, D. H., Brydenm, M., Jenner, N., Jener, C. S. 2000. Cultural revolution in whale songs. Nature, 408, 537. Oviedo, L., Guzman, H. M., Flórez-González, L., Capella Alzueta, J., & Mair, J. M. 2008. The Song of the Southeast Pacific Humpback Whale (Megaptera novaeangliae) off Las Perlas Archipelago, Panama: Preliminary Characterization. Aquatic Mammals, 34(4), 458-463. Parsons, E. C. M.; Wright, A. J. & Gore, M. A. 2008. The Nature of Humpback Whale (Megaptera novaeangliae) Song. .Journal of Marine Animals and Their Ecology, 1 (1), 22-31. Payne, S. & McVay, S. 1971. Songs of humpback whales. Science, 173, 585–597. 99 Payne, S., & Guinee, L. N. 1983. Humpback whale (Megaptera novaeangliae) songs as an indicator of “stocks”. In. Communication and behavior of whales. (Ed R. Payne), pp 333-358. Boulder, CO: Westview Press. Payne, K. P., Tyack, D. R., Payne, R. 1983. Progressive changes in the songs of humpback whales (Megaptera novaeangliae): A detailed analysis of two seasons in Hawaii. In. Communication and behavior of whales. (Ed R. Payne), pp 9-57. Boulder, CO: Westview Press. Payne, K, & Payne, R. 1985. Large scale changes over 19 years in songs of humpback whales in Bermuda. Zeitschrift fur Tierpsychologie, 68, 89-1 14. Smith, J. N., Goldizen, A. W.; Dunlop, R. A. & Noad, M. J. 2008. Songs of male humpback whales, Megaptera novaeangliae, are involved in intersexual interactions. Animal Behavior, 76, 467-477. Thompson, P., O. & Friedl, W. A. 1982. A long term study of low frequency sounds from several species of whales off Oahu, Hawaii. Cetology, 45, 1-19. Tyack, P. 1981. Interactions between singing Hawaiian humpback whales and conspecifics nearby. Behavioral and Ecological Sociobiology, 8, 105-116. Tyack, P. 2000. Functional aspects of cetacean communication. In: Cetacean Societies: Field Studies of Dolphins and Whales (Ed Mann, J., Connor, R. C., Tyack, P. L. & Whitehead, H), pp 270-307. Chicago, IL: Chicago Press. Wilson, E. O. 1975. Sociobiology: The new synthesis. Cambridge, MA: Belknap Press. 100 Winn, H, E., Perkins, P. & Poulter, T. 1971. Sounds of the humpback whale. Proceedings of the 7th Annual Conference on Biological Sonar and Diving Mammals.Menlo Park, California, 39-52. Winn, H. E. & Perkins, P. 1976. Sounds of the minke whale, within a review of misticete sounds. Cetology, 19, 1-12. Winn, H. E. & Winn, L. K. 1978. The song of the humpback whale Megaptera novaeangliae in the West Indies. Marine Biology, 47, 97-114. Winn, H., E., Thompson, J. T., Cummings, W.C., Hans, J., Hudnall, J., Hays, J., Steiner, W. 1981. Song of the humpback whale: Population comparison. Behavioral Ecology and Sociobiology, 8, 41-46. 101 Artigo 3 – Indústria do Petróleo e poluição acústica na área de reprodução da baleia jubarte (Megaptera novaeangliae), no Oceano Atlântico Sul ocidental. Marcos R. Rossi-Santos 1,2 1- Instituto Baleia Jubarte 2- Universidade Federal do Rio Grande do Norte MARINE POLLUTION BULLETIN (A2, fator de impacto = 2,314) A ser submetido 102 RESUMO A poluição sonora marinha está constantemente aumentando no mundo e é considerada como uma preocupante ameaça para toda a vida aquática. O presente trabalho tem o objetivo de estudar a possível sobreposição acústica entre o canto da baleia jubarte e os ruídos antropogênicos ao redor de plataformas de exploração de petróleo e gás, através da descrição espectral e comparações de freqüência. Dentro de um monitoramento sistemático na região Nordeste do Brasil (11° S, 37° W - 14° S, 38° W), dados bioacústicos foram coletados entre 2007 e 2009, com foco na ocorrência da baleia jubarte ao redor das plataformas localizadas na área de estudo. Diversos ruídos antropogênicos foram encontrados, em freqüências similares àquelas que são utilizadas pelas jubartes como parte de seu complexo comportamento reprodutivo, o que sugere uma sobreposição de nicho acústico. A poluição sonora originada da produção de petróleo e gás potencialmente pode afetar a comunicação da espécie, com implicações em sua distribuição e comportamento na área de reprodução. Este trabalho é o primeiro a reportar uma descrição e comparação acústica entre plataformas e cetáceos para o Oceano Atlântico Sul ocidental, clamando por esforços para o desenvolvimento e inserção da bioacústica como ferramenta de monitoramento científico diante da crescente exploração de petróleo e gás no mar do Brasil. Palavras-chave: Cetáceos, baleia jubarte, ruído antropogênico, indústria do petróleo, Brasil 103 Oil industry and noise pollution on the humpback whale (Megaptera novaeangliae) acoustic environment in the Southwestern Atlantic breeding ground ABSTRACT Marine noise pollution is constantly increasing around the world and recalled as a concerning threat to the aquatic life. The present work aims to access acoustic overlapping between the humpback whale song and anthropogenic sounds around oil and gas platforms, through spectral description and frequency comparison. Within a systematic whale monitoring in Northeastern Brazil (11° S, 37° W - 14° S, 38° W), bioacoustic data was collected from 2007 to 2009, focusing on humpback occurrence around oil platforms in the study area. Diverse anthropogenic noises were found, in a similar frequency range than the recorded cetacean sounds, which suggests overlapping of acoustic niches. Noise pollution from oil and gas production potentially may affect the species communication, with implications on its distribution and behavior in their breeding area. This paper is the first report of acoustics between oil platforms and cetaceans for the Southwestern Atlantic Ocean, urging efforts to the development and insertion of this research tool, facing the increase of gas and oil exploitation. Keywords: Cetaceans, humpback whales, anthropogenic noise, oil platform, Brazil 104 1. INTRODUCTION 1.1) Noise in the marine environment Noise may be defined as a sound that interfere the signal reception or even affect the animal ecology, disturbing their common behavior (Richardson et al, 1995). The marine acoustic environment is formed by a diverse sources of noise, which reflect in the perception and behavioral responses for different animal species, mainly the vertebrates (McCauley et al., 2000a, 2000b; Miller et al., 2000; Cato & McCauley, 2002). So on, the acoustic environment that whales face today is different from they faced about 50 years ago (eg. Andrew et al., 2002), prior the whaling period, even more in the tropical breeding areas, much more populated and where the animals spend about six months per year to find a reproductive partner, to breed, give birth and take care of their young until the next migration to the poles (eg. Clapham, 1996). The increase in the human population along the years, concentrated in the coastal zone, have resulted in an increase of boat-ship traffic and the oil industry, reaching certain acoustic pollution levels that can harm individual animals, causing temporary or even permanent injuries in their physiology and behavior (eg: Richardson et al., 1995, Johnson et al., 2007). Signal detection by a marine mammal is affected by the noise interference in a similar frequency band than any biological acoustic signal or by the individual hearing sensitivity inside the same species (eg. Au & Moore 1990, Erbe & Farmer 1998, Southall et al. 2001, Finneran et al. 2002). 105 The effects of anthropogenic noise in marine mammals have been increasable studied and revised in literature. (eg. Richardson et al, 1995, NRC 2000, 2003; Hatch & Wrigth, 2007). Depending of the sound source features and the type of the acoustic environment, which may affect sound propagation, sound may affect them in a diverse way, as turning difficult the signal detection, causing masking of specific signals, changing natural behavior or even causing hearing injuries (Richardson & Wursig, 1997; Kastak & Schusterman 1999, Schlundt et al. 2000, Croll et al., 2001; Nachtigall et al. 2003). 1.2) The humpback whale The humpback whale, Megaptera novaeangliae, (Cetacea, Balaenopteridae), is a cosmopolitan cetacean species distributed along all the oceans worldwide (Clapham & Mead, 1999). As migratory animals, they move yearly from high latitude feeding areas, staying during the autumn and summer, to the breeding areas in the tropics, staying during the spring and summer (Clapham & Mead, 1999). These breeding areas are typically between islands and/or associated with coral systems (Whitehead & Moore, 1982; Clapham, 1996). In the feeding and breeding area, the humpback whale present a social organization characterized by unstable and small groups (2 to 3 animals). However, larger groups can be found during the feeding behavior or related to the aggressive competition between males during the breeding season (Clapham, 1996). 1.2.1) Occurrence and Distribution There are seven humpback whale sub-populations (or stocks) in the southern hemisphere, one of these, named by International Whaling Commission “Breeding 106 Stock A/ BSA” (IWC, 1998), migrates to the Brazilian coast, where they breed and take care of their calves from July to November. Humpback whales occur along a large range in Brazil, from Rio Grande do Sul state to Maranhão state, including oceanic areas of the Atol das Rocas, Fernando de Noronha and Trindade Islands (Tollenare, 1961; Lodi, 1994; Danilewicz et al., 2009; Wedekin, 2011), with its core breeding area in the Abrolhos Bank, Bahia state (Martins et al., 2001; Andriolo et al., 2006a,b; Wedekin et al., 2010). During the last decade, an increase of humpback whale sightings northwards from the Abrolhos Bank, including the Bahia capital, Salvador and the north coast of the state, was reported, suggesting the effective population recovery in this historical area, occupied by the whales prior the whaling period (Rossi-Santos et al., 2008). Despite the apparent end of commercial whaling, most of the large whale species are still threatened by anthropogenic activities such as fishing net entanglement, collisions with vessels, oil/gas exploitation, chemical and noise pollution (for revision, see Clapham 1996; Hatch & Wrigth, 2007). 1.2.2) Acoustic Ecology and Behavior: importance of sounds The humpback whale is also known as “singer whale” because its unique characteristic of to exhibit a singing behavior, performed only by males, during their breeding season. Since the 70ths, many studies described the physic structure of the songs (eg. Payne e Mc Vay, 1971; Helweg et al., 1998; Maeda et al., 2000; Arraut & Vielliard, 2004). Males sing during the breeding season, probably with the function of attract females (eg. Smith et al., 2008) and/or to repel other males (eg. Tyack & Whitehead, 107 1983; Weinrich, 1995). The song is constituted by single notes which form repetitive phrases called theme, and different themes form a song (Payne & McVay, 1971). Generally, the singer males are observed alone, and individuals from different populations produce different songs, what is being used to describe and differentiate humpback whale populations wordwide (eg. Winn & Winn, 1978; Matilla et al., 1987). The song is being slowly modified along the time, becoming a different song after about five years ( Payne et al., 1983; Payne & Payne, 1985; Noad et al., 2000). Probable functions at the population ecology level, such as stock recognition by songs and cultural exchange between adjacent populations have been reported (Winn et al., 1981; McSweeney et al., 1989; Dawbin & Eyre, 1991; Darling & SousaLima, 2005; Eriksen et al., 2005), however many other aspects of the acoustic ecology of the species during the singing behavior is still unknown, including the description of acoustic occurrence in diverse anthropogenic environment and contexts. The humpback whale song has a crucial importance in the reproductive success of the species, when they are temporally engaged in mating activities, which include the search of reproductive partners to perpetuate, in last instance, their genes to the next generations in that local population. So on, any disturbance in this delicate moment may affect individual reproductive success and, in a broader view the success of an entire population. 1.3) The Oil Industry in Brazil The oil industry in Brazil was, in an early period, characterized by the monopoly of Petrobras, created by the Brazilian government in 1954, as a State company, to reduce economic risks derived from the oil crises worldwide since that 108 time (Kimura, 2005). Additionally, the post-war period, in the early 50s, was marked by the discovery of many oil reserves around the globe, and in this context, Brazil did not wake interests of foreign companies, despite the propitious conditions to oil formation spread in 3 millions squared kilometers of sedimentary basins (Matz, 2000). The international economic crises in the late 80s and early 90s caused a deep change in the companies’ mentality, which start to focus their investment in their core-business, the energy sector, initiating many fusions with other companies to reduce costs and to enhance productive scale (Matz, 2000; Kimura, 2005). The Brazilian law 9.478 retreat the monopoly of Petrobras, authorizing other companies to exploit and explore in the national territory, attracting a competitive market, which is increasing year by year (Machado, 2004; ANP, 2003). 1.4) Objective The present work aims to make an acoustic analysis of anthropogenic noise originated from oil and gas exploitation activities in the Brazilian breeding ground for the humpback whale, an endangered species considered as an important top predator for the marine ecosystem. Potential overlapping of acoustic niche of the whales and noises is also analyzed and discussed. 2) MATERIAL AND METHODS 2.1) Study area For this work we encompassed a stretch of coast between the northeast states of Bahia and Sergipe, joining the North Coast of the State of the Bahia, with a littoral 109 band of approximately 14 km of extension, going from Itacaré (14° S, 38° W) to Aracaju (11° S, 37° W), capital of Sergipe state, with Praia do Forte (12° S, 38° W) placed in the center of this area, located about 60 km from the capital Salvador (figure 1). The region between Praia do Forte and Aracaju , is characterized by long sand beaches, with large dune formation fringing the coast line. The main oceanographic characteristic for this total area (study area) is a narrow continental platform, with approximately 15 km of extension. Throughout the platform, its average of depth is of 40 meters and the amplitude of tide varies between 0.1 2.6m (DHN, 1995). This area also have large bays and estuaries, important to navigation, such as the Baía de Todos os Santos, surrounding Salvador, Bahia state and the estuaries of Vaza-Barris river and Sergipe river, near Aracaju, Sergipe state. Beyond the anthropogenic pressing from large ports such as Salvador and Aracaju, and the presence of traditional fishing communities, this area also hosts the largest petrochemical industrial center of all the Southern Hemisphere, in Camaçari, Bahia state. Equally important are the first established coastal oil platforms of the Brazilian coast, in Aracaju, Sergipe state and some more platforms recently installed in Bahia state, near touristic destinations of Morro de São Paulo and Itacaré localities. Some years ago, a consortium of organizations headed a public campaign to exclude the Abrolhos Bank, the core area for the humpback whale distribution in Brazil (Wedekin et al., 2010) from the increasing commerce of exploitation blocks along the southeastern and northeastern coasts (figure 1), obtaining a temporary success. 110 However, as the humpback whale stock A is increasing (eg., Zerbini et al 2006), other areas in the Brazilian coast have been occupied (Rossi-Santos et al., 2008; Wedekin et al., 2010; Baracho-Neto et al., 2012) and the marine acoustic landscape including whales and the Oil Industry became undeniable. Figure 1 – Study area, located between Itacaré, Bahia state (14°S, 38°W) and Aracaju, Sergipe state (11°S, 37°W), Northeastern Brazil. Blue squares represent oil exploitation blocks, while red dots represent the recorded platforms inside the study 111 area. The Abrolhos Bank is presented to reference the core area of humpback whale (Megaptera novaeangliae) distribution in Brazil. 2.2) Data collection and analyses 2.2.1) Behavioral methods To the behavioral observations during the sightings including platforms it was utilized the combined Focal-group and Ad libitum method (see Mann et al., 2000) which consists in registering a sequence of a certain behavior during the observation time, broadly employed in the cetacean studies. To the group structure definitions and classification we followed the nomenclature proposed by Clapham (1996) (to more information about methods, see Rossi-Santos et al, 2008). 2.2.2) Research Cruises Boat based surveys were utilized, searching for whales in a determined route, approaching animals when sighted to collect general data such as geographic location, behavior, photoidentification, skin biopsies and bioacoustic recordings, following a standard protocol, including group structure definitions and classification (see Rossi-Santos et al, 2008). A laser range finder (Bushnell Elite 1500) was utilized by one team observer to measure distances from the recorded objects, including whales, platform and supply boats to the hydrophone. 112 2.2.3) Bioacoustics The recording equipment varied along the years according to the worldwide increasing of technological advance in audio and video acquisition systems and its availability in Brazil. In 2007 whale songs and noises were recorded utilizing an analogical-digital system (Sony VX-1000 video-camera) always plugged to the same hydrophone (HTI SSQ-94). Since 2008 a full digital system was adopted (M-Audio MicroTrack Professional II digital recorder), resulting in an increased frequency response of 48 kHz. In the laboratory, analogical and analogical-digital tapes were digitized to export the raw sound data to the analyze platform, the software RAVEN 1.3 (Cornell University/USA). Once in a digital system, audio format was selected as uncompressed WAV files and then saved in a data-base. After digitized, the biological and the man-made sounds were analyzed, through spectral visualization, to extract physical parameters such as: begin frequency, end frequency, mean frequency, maximum frequency, minimum frequency, amplitude, duration and energy (sound intensity). Data were selected using the best quality to visualize the complete signal, utilizing the screen cursor upon spectrograms, a sound graphic with axes on frequency, measured in Hertz (Hz), and time, measured in seconds (sec). After a signal is selected, the software provides the precise measurements and these numeric values are exported to a data-base software for a posteriori analyzes. Is notable to recall that the sound intensity measurement, the decibel (dB), is considered a relative value to a certain energy source (Hatch & Wright, 2007) and, as our recording systems were uncalibrated, we only had the reference of the Signal to 113 Noise Ratio (dB re - SNR) provided by RAVEN 3.1 to be utilized for the comparative analyzes. 3) RESULTS 3.1) Behavioral observations Between 2007 and 2009, it was performed a total of 527 h of sampling effort of the humpback whale and environmental monitoring, distributed in 69 days, summing 166 sightings of whale groups during the systematic field work. Groups containing any singer male were confirmed by close (no more than 100 m) underwater recordings. During the sampling effort, humpback whales were sighted in 6 occasions around oil and gas platforms in distances less than 60 meters. Group composition was defined as alone singer males in 3 sightings (122 minutes of observation and recordings). In one occasion the singer was actively singing and presenting long and similar breath intervals (14:00, 16:50, 16:43 minutes). Females with calves plus an escort male were recorded in 2 sightings (75 minutes) constantly diving and avoiding the supply boat around the platform. During one occasion a group of 3 adult animals, including one singer was observed. 114 3.2) Anthropogenic noises Different categories of anthropogenic noises from oil and gas platform operation were recorded and analyzed (figure 2). Figure 2: Marine environment with the occurrence of anthropogenic noise from the oil and gas industry, showing different noise sources, such as platforms and supply boats, utilized in the daily operation. During this period, 40 sound files were selected by the Best signal to noise ratio (signal quality in relation to the background noise). For each measured acoustic parameter were extracted the minimum, maximum, mean value and the standard deviation, shown in the table 1. 115 Distinct noises were registered, varying from direct (figures 3, 4, 5) and indirect (figure 6) from the physical structure of the platform properly. Noise varied in frequency from 5 Hz to the top of the sampling rate of 48.000 Hz, and sound intensity (energy) varied from 64 to 157 dB (re SNR) (table 1). Table 1: Acoustic parameters from the platform operation noise, (n=40), in the study area, recorded between 2007 and 2009. (* dB re SNR was the intensity reference provided the software Raven 3.1). Year Minimum Maximum Central Amplitude Energy 2007- Frequency Frequency Frequency (Hz) 2009 (Hz) (Hz) (Hz) Minimum 5 1009 23,4 1009 64 Maximum 5411 48000 6029 48000 157 Mean 415,3 19031 1710 17863 102 Standard 427 7948 5743 9476 9,3 (dB:reSNR*) Deviation 116 Figure 3: Low frequency anthropogenic noise (< 1kHz), from the gas platform, with pulsed vertical lines surpassing the recording limit of 48 kHz. Figure 4: Continuous anthropogenic noise during gas platform perforation process, with larger energy up to 15 kHz and horizontal harmonic bands, wave shaped, surpassing the limit of 47 kHz. 117 Figure 5: Anthropogenic noise from a gas platform, concentrated in frequencies lower than 8 kHz. Figure 6: Anthropogenic noise indirect from the platform, formed by a pulsed and “metallic” sound, with frequencies between 1 and 12 kHz. 118 3.3) Platform and humpback whale simultaneous sound files In 10 recording sessions were possible to detect simultaneous sounds of humpback whales during the emission of platform noise (figures 7, 8). Sixteen whale sounds elements, also called notes, were identified and described, as part of the complex humpback whale song ( table 2). Table 2: Notes of the humpback whale (Megaptera novaeangliae) song (n=65) recorded around oil platforms, off Brazilian Coast. Minimum Maximum Central Frequency Time Maximum Frequency Frequency Frequency Amplitude Amplitude Power min 40 262 140 64 0.37 57 max 1092 10186 2584 10032 5.13 149 mean 220 3277 483 3057 1.82 92 * Frequency parameters in Hertz (Hz), time in seconds (s), Power/sound intensity in Decibels (dB re SNR). 119 Figure 7: Anthropogenic noise from the gas platform expressed in a wave pattern, simultaneous to the low frequency humpback whale notes (> 1 kHz). (red rectangle is noise range and blue rectangle is a whale song part). Figure 8: Anthropogenic noise from the gas platform, showing an horizontal pattern, simultaneous to the low frequency humpback whale notes (> 1 kHz). (red rectangle is noise range and blue rectangle is a whale song part). 120 Figure 9: Comparison between anthropogenic noises (red points) and humpback whale (Megaptera novaeangliae) (blue points) acoustic parameters: A- frequency in 121 Hz (mean values from tables 1 and 2 to minimum, central and maximum frequencies), B- Amplitude in Hz (Minimum, Mean and Maximum), C- Energy (sound intensity) in dB re SNR (Minimum, Mean and Maximum). Noise overlapping whale song can be attested in figure 9A, which compares anthropogenic noises and humpback whale frequency parameters (mean values from tables 1 and 2 to minimum, central and maximum frequencies). It is notable that the noise frequency parameters are always in larger mean values than the whale sounds (figure 9), implying that their frequencies would be masked by a broader signal (the noise, in this case), in a progressive increase according to the noise source. 4) DISCUSSION According to previous studies (eg. Richardson et al., 1995; Wrigth et al., 2007), the consequences of animal exposure to anthropogenic noise are evident and generally bring into consideration the management of human activities that may affect animal populations in the wild. In terrestrial animals, such as songbirds, there is an increase of investigation on the characteristics of sound production in anthropogenic areas (eg. Nemeth et al., 2012), such the discovery that urban great tits (Parus major) sing with higher minimum frequencies in cities (Slabberkoorn & den Boer-Visser, 2006) and in traffic noise in particular (Slabberkoorn & Peet). Excessive noise can mask important aspects of communication among several aquatic species, (eg. Richardson et al., 1995; Southall et al., 2001; Hatch & 122 Wrigth, 2007), such as sexual and contact calls that enable individuals to meet and mate; feeding calls that facilitate food resource utilization; and mother and calf calls that enable maintenance of proximity). Thus, the potential of noise to impair survival, reproduction and population growth demands attention (NRC, 2000; 2003). The context of noise sources is important because it affect the cetacean behavioral and even physiological responses. So on, young animals may be particularly more sensitive to the acoustic stress for many reasons such as their brain high sensitiveness under development and, therefore, short expositions to noise sources may result in long-term consequences (Wrigth et al., 2007). Despite the anthropogenic noise in the marine environment is being considered a hot topic in the scientific community (eg. Hatch & Wright, 2007), the majority of the published information is related to humpback whale behavioral responses to whale-watching (tourism) industry worldwide, reporting on whale avoidance or displacement way from a noise boat source (eg. Au & Green 2000; Miller et al, 2000; Frankel & Clark 2002, Erbe 2003, Sousa-Lima & Clark (2009). Furthermore, some results on active low frequency sonar exposure to humpback whales, comparing their song duration before and after to sonar exposure, showed that six animals produced shorter songs during the noise exposure (Miller et al., 2000). The results of the present work show that the operation of oil and gas platforms in Brazil produce a broad spectrum of acoustic noise, reaching the extreme limits of our recording equipment (0 to 48 kHz), suggesting the future utilization of a broader frequency range gear. Sound intensity of the platform noise, registered as “Energy” varied between 100 and 150 dB (re SNR), and are concentrated in low and medium frequencies (0 to 123 10 kHz), which is also a large part of the acoustic niche of the humpback whale. Therefore, it was evident a frequency and sound intensity overlapping between the humpback whale song and the anthropogenic noise. Increased sound intensity and low frequency components allow noise to propagate farer in the ocean. The observed behavior and group structure around the platforms clearly indicate that humpback whales are utilizing anthropogenic environments inside their whole breeding area in the Brazilian coast, exposing them to diverse sources of human-made impacts (Neto et al., 2007; Marcondes & Engel, 2009; Rossi-Santos et al., 2010). The actual literature about the hearing capabilities of the humpback whale is still inconclusive. Au et al., (2006) report sound intensity/energy values for the species recorded in Hawaiian Waters between 151 and 173 db (re 1 µPa) and high frequency harmonics surpassing 24 kHz, suggesting that the species may present an upper hearing limit as high or even higher this value. Scarce information about noise from oil and gas platforms is reported in the literature. The present work fill this gap and show that the frequency variation overlap in almost all analyzed spectrum and that the noise intensity may be stronger than biological song intensity, which may allow to the sound masking, as largely commented in previous studies (eg. Richardson et al., 1995; Foote et al., 2004; Wright et al., 2007) and, in a last instance, causing a disturbance in the whale breeding success around the noise source location, which may lead to the search for quieter areas, decreasing the natural size of their seasonal breeding area The results of the present work show that oil and gas platforms contribute to the oceanic ensonification, by producing a broad noise spectrum, varying in all the 124 measured acoustic range (0 to 48 kHz), which may suggest the future use of a broader recording system. Sound intensity of platform noise, registered in the energy parameter, varied from 100 to 150 dB (re SNR), and are concentrated in lower and mean frequencies (0 a 10 kHz), which is a large part of the humpback whale acoustic niche. Thus a frequency and energy overlapping between the humpback whale song and the anthropogenic noise originated from the Oil Industry in the Brazilian breeding ground was evidenced. 5. REFERENCES Andrew, R. K., Howe, B. M. & Mercer, J. A. 2002. Ocean ambient sound: comparing the 1960s with the 1990s for a receiver off the California coast. Acoustics Research Letters Online, 3, 65-70. Andriolo, A.; Martins, C. C. A.; Engel, M. H.; Pizzorno, J. L. A.; Más-Rosa, S.; Freitas, A.; Morete, M. E. & Kinas, P. G. 2006a. The first aerial survey to estimate abundance of humpback whale (Megaptera novaeangliae) in the breeding ground off Brazil. Journal of Cetacean Research and Management, 8(3), 307–311. Andriolo, A., Kinas, P.G., Engel, M.E. & Martins, C.C.A. 2006b. Monitoring humpback whale (Megaptera novaeangliae) population in the Brazilian breeding ground, 2002 to 2005. IWC Scientific Committee, 12 pp. ANP – Agência Nacional de Petróleo, 2003. Anuário Estatístico. Brasília, Brasil. Arraut, E. M. & Vielliard, J. M. E. 2004. The song of the Brazilian population of humpback whale Megaptera novaeangliae in the year 2000: individual song 125 variations and possible implications. Anais da Academia Brasileira de Ciências, 76(2), 373-380. Au, W. W. L. & Green, M. 2000. Acoustic interaction of humpback whales and whale-watching boats. Marine Environmental. Res., 49, 469-481. Au, W. W. L. & Moore, P. W. B. 1990. Critical ratio and critical bandwidth for the Atlantic bottlenose dolphin. Journal of. Acoustic Society of America, 88, 1635–1638 Au, W. W. L., Pack, A., Lammers, M. L.; Herman, L. M.; Deakos, M. H. & Andrews, K. 2006. Acoustic properties of the humpback whale song. Journal Acoustic Society America, 120 (2),1103-1110. Baracho-Neto, C. G.; Santos Neto, E.; Rossi-Santos, M. R.; Wedekin, L. L.; Neves, M. C.; Lima, F & Faria, D. 2012. Site fidelity and residence times of humpback whales (Megaptera novaeangliae) on the Brazilian coast. Journal of the Marine Biological Association of the United Kingdom, p1 of 9, doi:10.1017/S0025315411002074. Cato, D. H. & McCauley, R. D. 2002. Australian research in ambient noise. Acoustic Australia, 30, 13-20. Clapham, P.J. 1996. The social and reproductive biology of Humpback Whales: an ecological perspective. Mammal Review, 26, 27-49. Clapham, P. J. & Mead, J. G. 1999. Megaptera novaeangliae. Mammalian Species, 604, 1-9. 126 Croll, D. A., Clark, C. W., Calambokidis, J., Ellison, W. T. & Tershy, B. R. 2001. Effect of anthropogenic low-frequency noise on the foraging ecology of Balaenoptera whales. Animal Conservation, 4, 13-27. Danilewicz, D., Tavares, M., Moreno, I. B., Ott, P.H. & Trigo, C.C. 2009. Evidence of feeding by the humpback whale (Megaptera novaeangliae) in mid-latitude waters of the western South Atlantic. Journal of the Marine Biological Association of the U.K. Biodiversity. Records/http://www.mba.ac.uk/jmba/biodiversityrecords.php. Darling J.D. & Souza-Lima R.S. 2005. Songs indicate interaction between humpback whale (Megaptera novaeangliae) populations in the western and eastern South Atlantic Ocean. Marine Mammal Science, 21, 557–566. Dawbin, W. H. & Eyre, E. J. 1991. Humpback whale songs along the coast of Western Australia and some comparison with east coast songs. Memoirs of the Queensland Museum, 30 (2), 249-254. DHN-Departamento de Hidrologia e Navegação da Marinha do Brasil. 1995. Carta náutica. Erbe C & Farmer, D. M. 1998. Masked hearing thresholds of a beluga whale (Delphinapterus leucas) in icebreaker noise. Deep-Sea Res. II, 45, 1373–1388. Erbe, C. 2003. Assesment of Bioacoustic impact of ships on humpback whales in Glacier Bay. Report for the Glacier Bay National Park and Preserve, Gustavus, Alaska. 127 Eriksen, N., Millar, L. A., Tougaard, J., & Helweg, D.A. 2005. Cultural change in the songs of humpback whales (Megaptera novaeangliae) from Tonga. Behaviour, 142, 305-328. Finneran J.J., Schlundt, C.E., Carder, D.A. & Ridgway, S.H. 2002. Auditory filter shapes for the bottlenose dolphin (Tursiops truncatus) and the white whale (Delphinapterus leucas) derived with notched noise. Journal Acoustic Society America, 122, 322–328. Foote, A. D., Osborne, R. W. & Hoelzel, A. R. 2004. Whale-call response to masking boat noise. Nature: 428, .910 Frankel, A. S. & Clark, C. W. 2002. ATOC and other factors affecting the distribution and abundance of humpack whales, Megaptera novaeangliae, off the North shore of Kauai. Marine. Mamma Science, 18(3), 644-662. Hatch, L. T. & Wright, A. J. 2007. A Brief Review of Anthropogenic Sound in the Oceans. International Journal of Comparative. Psychology, 20: 121-133. Helweg, D. A., Cato, D. H., Jenkins, D .F., Garrigue, C. & McCauley, R. D. 1998. Geographic variation in South Pacific humpback whale songs. Behaviour 135, 1-17. IWC. - International Whaling Commission. 1998. Annex G–Report of the subcommittee on comprehensive assessment of Southern Hemisphere humpback whales. Reports of the International Whaling Commission, 48, 170–182. Johnson, S. R.; Richardson, W. J.; Yazvenko, S. B.; Blokhin, S. A.; Gailey, G.; Jenkerson, M. R.; Meier, S. K.; Melton, H. R.; Newcomer, M. W.; Perlov, A. S.; Rutenko, S. A.; Würsig, B.; Martin, C. R. & Egging, D. E. 2007. A western gray 128 whale mitigation and monitoring program for a 3-D seismic survey, Sakhalin Island, Russia. Environmental Monitoring. Assessment. DOI 10.1007/s10661-007-9813-0 Kastak D. & Schusterman, R. J. 1999. Underwater temporary threshold shift induced by octave-band noise in three species of pinniped. Journal of. Acoustic Society of America. 106, 1142–1148. Kimura, R. M. 2005. Indústria brasileira de petróleo: uma análise da cadeia de valor agregado. Programa PRH-21/ Agência Nacional do Petróleo, Bachelors Monography. Universidade Federal do Rio de Janeiro. Lodi, L. 1994. Ocorrências de baleias-jubarte, Megaptera novaeangliae, no Arquipélago de Fernando de Noronha, incluindo um resumo de registros de capturas no Nordeste do Brasil. Biotemas, 7(1), 116-123. Machado, G. V. 2004. Estimativa da Contribuição do Setor Petróleo ao Produto Interno Bruto do Brasil: 1997-2002. Rio de Janeiro, Nota Técnica da Agência Nacional de Petróleo - ANP n°19. Maeda, H., Higashi, N., Uchida, S., Sato, F., Yamaguchi, M., Koido, T. & Takemura, A. 2000. Songs of humpback whales, Megaptera novaeangliae, in the Ryukyu and Bonin regions. Mammal Study, 25, 59-73. Mann, J., Connor, R. C., Tyack, P. L. & Whitehead, H. 2000. Cetacean Societies: Field Studies of Dolphins and Whales. Chicago, IL: Chicago Press. Marcondes, M. C. C. & Engel, M. H. 2009. Ship strikes with humpback whales in Brazil. Working paper (SC/61/BC4) presented at 61st International Whaling Commission (IWC). 129 Martins, C. C. A., Morete, M. E., Engel, M. H., Freitas, A. C., Secchi E. R & Kinas, P. G. 2001. Aspects of habitat use patterns of humpback whales in the Abrolhos Bank, Brazil, breeding ground. Memorial of Queensland Museum. 47, 563–570. Matilla, D. K., Guinee, L. N. & Mayo, C. A. 1987. Humpback whale songs on a North Atlantic feeding ground. Journal of Mammalogy., 68(4), 880-883. Matz, M. 2000. Estratégias das empresas petrolíferas no Brasil face à abertura do mercado. MSc Dissertation COPPE-UFRJ. Rio de Janeiro. McCauley, R. D., Fewtrell, J., Duncan, A. J., Jenner, C., Jenner, M. N., Penrose, J. D., et al. 2000a. Marine seismic surveys—a study of environmental implications. Australian Petroleum Production and Exploration Association Journal, 40, 692–708. McCauley, R. D., Fewtrell, J., Duncan, A. J., Jenner, C., Jenner, M. N., Penrose, J. D., et al. 2000b. Marine seismic surveys: analysis and propagation of air gun signals and effects of air gun exposure on humpback whales, sea turtles, fishes and squid. Project CMST 163, Report R99- 15 from Centre for Marine Science and Technology, Curtin University of Technology, Perth, Western Australia, Australia, 198 pp. [available at http://www.erin.gov.au/ epbc/assessmentsapprovals/guidelines/seismic/index. McSweeney, D. J., Chu, K. C., Dolphin, W. F. & Guinee, L. N. 1989. North Pacific humpback whale songs: A comparison of southeast Alaskan feeding ground songs with Hawaiian wintering ground songs. Marine Mammal Science, 5, 139–148. Miller, P.J. O., Biassoni, N., Samuels, A., Tyack, P.L. 2000. Whale songs lengthen in response to sonar: male humpbacks modify their sexual displays when exposed to man-made noise Nature, 405 (6789), 903. 130 Nachtigall, P. E., Pawloski, J. L. & Au, W. W. L. 2003. Temporary threshold shifts and recovery following noise exposure in the Atlantic bottlenosed dolphin (Tursiops truncatus). Journal of. Acoustic Society of America, 113, 3425–3429. Nemeth, E. Zollinger, S.A & Brumm, H. 2012. Effect sizes and the integrative understanding of urban bird song (A reply to Slabberkoorn et al.). The American Naturalist, 180, 146-152. Neto, E.S., Rossi-Santos, M. R., Baracho, C. G., Cipolotti, S. R., Sampaio, C. L. S., Velozo, R. S., Souto, L. R. A. 2007. A case study of a lone humpback whale calf (Megaptera novaeangliae) inside Baía de Todos os Santos, Bahia State, northeastern Brazil, with implications for rescue procedures. Journal of the Marine Biological Association of the U.K. 2 (Biodiversity Records). http://www.mba.ac.uk/jmba.php. Noad, M .J., Catom, D. H., Brydenm, M., Jenner, N., Jener, C. S. 2000. Cultural revolution in whale songs. Nature, 408, 537. NRC National Research Council. 2000. Marine mammals and low-frequency sound. Washington, DC: National Academy Press. NRC National Research Council. 2003. Ocean noise and marine mammals-Ocean Study Board. Washington, DC: National Academy Press. Payne, S. & McVay, S. 1971. Songs of humpback whales. Science, 173, 585–597. Payne, K. P., Tyack, D. R., Payne, R. 1983. Progressive changes in the songs of humpback whales (Megaptera novaeangliae): A detailed analysis of two seasons in 131 Hawaii. In. Communication and behavior of whales. (Ed R. Payne), pp 9-57. Boulder, CO: Westview Press. Payne, K, & Payne, R. 1985. Large scale changes over 19 years in songs of humpback whales in Bermuda. Zeitschrift fur Tierpsychologie, 68, 89-1 14. Richardson, W. J., Greene, C. R., Malme, C. I. & Thompson, D. H. 1995. Marine mammals and noise. San Dieg: Academic Press. Rossi-Santos M.R., Neto E.S., Baracho C.G., Cipolotti S.R., Marcovaldi, E. & Engel, M. H. 2008. Occurrence and distribution of humpback whales (Megaptera novaeangliae) on the north coast of the State of Bahia, Brazil, 2000–2006. ICES Journal of Marine Science, 65, 667–673. Rossi-Santos, M. R., Silva, F. J. L. & Monteiro-Filho, E. L. A. 2010. Marine mammal conservation and anthropogenic noise in Brazil. Poster presented at the SeaBASS Bioacoustic summer school. Penn State University. Schlundt, C. E., Finneran, J. J., Carder, D. A. & Ridgway, S. H. 2000. Temporary shift in masked hearing thresholds of bottlenose dolphins, Tursiops truncatus, and white whales, Delphinapterus leucas, after exposure to intense tones. Journal Acoustic Society of America, 107, 3496–3508. Slabberkoorn, H. & den Boer-Visser, A. 2006. Cities change the song of birds. Current Biology, 16, 2326-2331. Slabberkoorn, H. & Peet, M. 2003. Birds sing at higher pitch in urban noise. Nature, 424, 267. 132 Smith, J. N., Goldizen, A. W.; Dunlop, R. A. & Noad, M. J. 2008. Songs of male humpback whales, Megaptera novaeangliae, are involved in intersexual interactions. Animal Behavior, 76, 467-477. Sousa-Lima, R. S. & Clark, C. W. 2009. Whale sound recording technology as a tool for assessing the effects of boat noise in a Brazilian marine park. Park Science, 26 (1), 59-63. Southall, B. L., Schusterman, R. J. & Kastak, D. 2001 Masking in three pinnipeds: underwater low-frequency critical ratios. Journal Acoustic Society of America. 108, 1322–1326. Tollenare, L.F. 1961. A pesca da baleia (pelo Recôncavo Baiano – 1817) (org Bruno, E.S. & Riedel), pp. 63-79Histórias e Paisagens do Brasil – Coqueirais e Chapadões – Bahia e Sergipe. Editora Cultrix, São Paulo. Tyack, P. L. & Whitehead, H. 1983. Male competition in large groups of wintering humpback whales. Behavory., 83, 132 –154. Wedekin, L. L.; Neves, M.; Marcondes, M.; Baracho, C.; Rossi-Santos, M. R.; Engel, M. & Simões-Lopes, P. C. 2010. Site fidelity and movements of humpback whales (Megaptera novaeangliae) in the Brazilian breeding ground, southwestern Atlantic. Marine. Mammal. Science., 26 (4), 787-802. Wedekin, L. L. 2011. Ecologia populacional da baleia-jubarte (Megaptera novaeangliae, Borowski, 1871) em sua área reprodutiva na costa do Brasil, Oceano Atlântico Sul. PhD thesis at Universidade Federal do Paraná, Brazil. 133 Weinrich, M. 1995. Humpback whale competitive groups observed on a high-latitude feeding ground. Marine. Mammal. Science, 11, 251- 254. Whitehead, H. & Moore, M. J. 1982. Distribution and movements of West Indian humpback whale in winter. Canadian. Journal of Zoology, 60, 2203-2211. Winn, H. E. & Winn, L. K. 1978. The song of the humpback whale Megaptera novaeangliae in the West Indies. Marine Biology, 47, 97-114. Winn, H., E., Thompson, J. T., Cummings, W.C., Hans, J., Hudnall, J., Hays, J., Steiner, W. 1981. Song of the humpback whale: Population comparison. Behavioral Ecology and Sociobiology, 8, 41-46. Wright, A. J. , Aguilar Soto, N., Baldwin, A. L., Bateson, M., Beale, C. M., Clark, C., Deak, T., Edwards, E. F., Fernández, A., Godinho, A., Hatch, L. T., Kakuschke, A., Lusseau, D., Martineau, D., Romero, L. M., Weilgart, L. S., Wintle, B. A., Notarbartolo-di-Sciara, G., Martin, V. 2007. Anthropogenic Noise as a Stressor in Animals: A Multidisciplinary Perspective. International Journal of Comparative Psychology, 20, 250-273. Zerbini, A. N., Ward, E., Engel, M. H., Andriolo, A., & Kinas, P. G. 2006. A Bayesian assessment of the conservation status of humpback whales (Megaptera novaeangliae) in the western South Atlantic Ocean (Breeding stock A). Paper SC/58/SH2 presented to the IWC Scientific Committee. 134 Artigo 4 – Efeitos dos ruídos produzidos pelo turismo de observação no comportamento da baleia jubarte (Megaptera novaeangliae) na área de reprodução da costa do Brasil. Marcos R. Rossi-Santos 1,2 1- Instituto Baleia Jubarte 2- Universidade Federal do Rio Grande do Norte BIODIVERSITY AND CONSERVATION (A2, fator de impacto 2,146) A ser submetido 135 RESUMO O turismo para observação de cetáceos (Whale watching) é uma das atividades que mais cresce no mundo, grandemente devido ao carisma que estas espécies exercem sobre o homem e também devido ao crescente apelo de conservacionistas de todo o mundo que enxergam nesta atividade um poderoso argumento para que a caça de baleias não seja retomada. Entretanto, se esta atividade não é feita de maneira sustentável pode acarretar danos para as populações de cetáceos, que vão desde alterações comportamentais a, até mesmo, danos fisiológicos. Dentro de um estudo de longo prazo sobre a ecologia acústica da baleia jubarte (Megaptera novaeangliae) na região nordeste do Brasil, dados comportamentais e acústicos sobre a aproximação de embarcações durante a época de reprodução da jubarte foram analisados para a localidade de Praia do Forte, tradicional centro do turismo de observação. Medições de freqüência e intensidade sonora indicaram que a atividade pode causar potenciais impactos no comportamento de superfície, bem como acústico desta espécie. Implicações para a conservação da baleia jubarte e seu ambiente são discutidas. Palavras-chave: Turismo de Observação, Whale Watching, Baleia jubarte, Megaptera novaeangliae, impactos acústicos, costa do Brasil 136 Whale-watching noise effects on the behavior of humpback whales (Megaptera novaeangliae) in the Brazilian breeding ground. ABSTRACT Whale-watching tourism is increasingly growing in the world, mostly due to the charisma that cetacean exert on humans, as well as due to the constant conservationist appeal that shows a strong argument to the no return of the commercial whaling. Nonetheless, if this activity is not sustainable may harm cetacean populations, from behavioral changes to physiological injuries. In a long term study about the acoustic ecology of the humpback whale (Megaptera novaeangliae), in their breeding ground off northeastern Brazil, behavioral and acoustic data were collected during whale watching boat approach in Praia do Forte, a touristic traditional center. Frequency and sound energy measurements indicated potential impacts in the surface and underwater behavior of the humpbacks. Implications for the species as well the environment conservation are discussed. Key-words: Tourism, Whale Watching, Humpback whale, Megaptera novaeangliae, acoustic impacts, Brazil 137 1) INTRODUCTION The whale-watching tourism is being for a long time considered as a great allied in propagate conservation through experiencing whales in their natural habitat, instead to use these animals in other lethal way such as whaling for sub-products, as oil and even whale meat (see Hoyt, 2001). It seems that whale-watching is a growing industry, bringing millions of dollars per year worldwide and spreading conservation everywhere in the globe (Hoyt, 2001; IWC, 2008). In South America, whale-watching began in the early 1980´s in the Argentinean Patagonia (Hoyt 2001), where the southern right whales (Eubalaena australis) go every year to breed in the shore, allied to the same coastal and calm behavior that made this species easy to hunt, as the main target for whaling in the past. In Brazil, this activity was initiated in the 1990´s, simultaneously in the South, in Santa Catarina state, where the same right whales also come for breeding in the austral winter and spring (July to November) (Palazzo et al., 1994), and in the Northeastern, in Bahia state, where humpback whales (Megaptera novaeangliae) elected the shallow waters of the Abrolhos Bank to search for mates and give birth and care of their young (Engel, 1996, Morete et al., 2008). In the late 1990’s, as a result of the conservation efforts worldwide, the humpback whale populations, have showed an increase in their numbers (Ward, 2006, Zerbini et al., 2006, Andriolo et al., 2006) and the past range, before the whaling period, have being re-colonized, stated by constant observations and systematic research (eg. Rossi-Santos et al., 2008, Wedekin et al.2010). In this scenario, Praia do Forte became a strong whale-watching destination, mainly because its proximity to the capital Salvador (55 Km), one of the most touristic 138 places in Brazil and by the very coastal occurrence of the whales, mainly due to the narrow continental shelf (Rossi-Santos et al., 2008; Wedekin et al., 2010; BarachoNeto et al., 2012). Together with the conservation purposes, whale watching industry is seen with concern about the possible negative influences in the whale behavior and distribution (eg. Simmonds 2003). This paper aims to describe the underwater noise originated from whale-watching in Praia do Forte and to evaluate the possibility of masking effect of the humpback whale song display. 2) MATERIAL AND METHODS 2.1) Study area This work was conducted in Praia do Forte (13° S, 38° W) (figure 1), where the whale watching tourism is established since 2000 (Cipolotti et al., 2005). In the region, this activity is, in part, favored by the large number of national and international tourists who visited the place, clamored by the media as the “Brazilian Polynesia”, due to the landscape including coastal coral reefs and sand beaches, with tradition on coconut agriculture, composing the paradisiacal tropical scenario. 139 Figure 1 – Study site of whale watching effects on the humpback whale (Megaptera novaeangliae) behavior at Praia do Forte, Bahia state, Northeastern Brazil, with reference to tha capital, Salvador, at 55 Km south. The Abrolhos Bank, the core area of humpback whale distribution in Brazil, is located about 300 Km south. 2.2) Whale watching operation Three main operators conducted this activity, utilizing wooden made boats, known as schooner, and fast boats, such as a 12 meters inflatable boat equipped with a 250 Hp offboard engine (figure 2). Less frequently, there was a forth operator, from the Praia do Forte Ecoresort, who performed whale watching using a fiberglass fast boat with outboard engine of 200 Hp. 2.3) Visual and acoustic surveys 140 As part of a broad study about the acoustic ecology of the humpback whales the region, data on whale watching boats approaching whales were visually and acoustically during the breeding season (July to October), from 2005 to 2010. A team of 3 to 5 observed was engaged into monitor whale watching boats, registering distance and whale behavioral data, while another observer was acoustically recording these events. Distance measurements from the research boat to observed whales and whale watching boats were collected using a Bushnell Elite 1500 laser range-finder. For the acoustic recordings it was utilized an system consisting of a CR 54 hydrophone connected to a digital recorder (M-Audio Microtrack Pro-II), with frequency response up to 96 kHz. Spectrographic analyzes were performed utilizing the software RAVEN 3.1 (Cornell University). As it was an uncalibrated system, for the measurements on sound energy, signal to noise ratio was used as reference for decibels (dB re SNR). 3) RESULTS During the acoustic study of humpback whales in Brazil, 640 minutes of sampling effort were extracted from 16 encounters with whale watching boats closely monitored, since the first sighting of the boat towards whale groups until they going away to observe some time after approach. Four boats of different types were identified (figure 2), with their noise registered from diverse sources, such as schooners and fast boats (summary in table 1). We noted that the boat operators usually take care on the limits imposed by the Federal Legislation (maximum approach of 100 meters away from the whale and 141 permanence time no longer than 30 minutes with each group. Despite this, engine conditions and sudden departure from whale groups resulted in initial behavioral disturbance of the animals. Table 1: summary of data containing the description of whale-watching boats operating in Praia do Forte, Bahia state, during 2009 (name, body type, engine power (Hp), passenger capacity) and acoustic recording effort, in minutes. Name Body Type Engine Capacity Recording Power (Hp) (persons) effort (min.) Mãe Dalva Wood schooner 180 50 9 Cannes Wood schooner 250 100 20 Bahia Adv Inflatable 250 12 5 200 8 5 (fiberglass rigidbottom) boat Angélica Fiberglass fast boat 142 Figure 2 – Examples of different boat types (such as schooners and fast boats) registered in the whale watching operation for humpback whales (Megaptera novaeangliae) in Praia do Forte, Bahia state, Brazilian breeding ground. Noise range Noise range was widely registered since infra (lower than 20 Hz) to ultra (higher than 20000 Hz) sonic bands, mainly concentrated up to 15000 Hz, with sound energy varying from 60 to 130 dB re SNR for both the schooners (figures 3, 4) and fast boats (figure 5). This frequency range in also included in the acoustic niche of the humpback whale and indicate the potential of masking on some song components. Behavioral Observations: Important behavioral observations were obtained on whale movement and reactions during whale watching approach. In Jul, 19, 2009, from 10:50 to 11:50 am 143 (60 minutes), we observed a group of 4 humpbacks at 50m deep. Before the approach of the boat Mãe D'Alva whales performed 5 breachings while moving in an erratic direction. Then, the boat Mãe D'Alva approached and it was recorded for 7 minutes. During this time, distance from the research boat was measured (228m – 30 sec; 180m - 1:30min; 69m - 3:10min) (figure 3). When the boat was at 69 m from the whales, they disengaged in two couples and start to move away from the boat. 144 Figure 3 – Spectrogram showing the noise from the whale watching boat Mãe Dalva (red retangles) approaching humpback whales (song parts represented inside the blue retangles) in Praia do Forte, Bahia state, in the year 2009. (distance from the 145 research boat: 228m – 30 sec; 180m - 1:30min; 69m - 3:10min). Note that boat noise starts overlapping the whale song and gradually, when it decrease speed and consequently sound intensity, the song starts to be clearer. In Jul, 21, 2009, from 14:00 to 14:55 am (55 minutes), we followed a solitary individual, confirmed as a singer male through acoustic recordings, where more than one animal was listened. After 20 minutes we sighted the schooner Cannes approaching in the whale direction. Informing the Cannes captain by VHF radio about our acoustic monitoring, we could obtain a controlled approach from the whale watching boat, and as the boat come closer to the whale, the captain kept informing by radio the engine rotation (RPM), while we measure its distance from the hydrophone. The singer male stop singing after the approach and start to perform fluke exhibition, diving and moving away from our view. The schooner Cannes tried to follow this individual and we still could listen to its noise until more than 1 nautical mile. In this context, we identified at the spectrogram the frequency range of the noise (up to 8 kHz) and sound intensity (112 dB re SNR) in this event. Engine rotation during boat displacement was 3000 RPM with distances varying from 44 to 208 meters to the research boat (figure 4). 146 Figure 4 – Spectrogram showing the noise evolution in time, from the whale watching boat Cannes, operating in Praia do Forte, Bahia state, Brazilian breeding ground for the humpback whale, Megaptera novaeangliae (engine rotation was 3000 RMP; 147 distance from the research boat: 44m - 1:30min; 69m - 1:34min; 170m - 2:10min; 208m - 2:23min). The Bahia Adv fast boat approached the research boat, which was observing a humpback whale group of 3 adult animals, reducing speed while coming closer, then distance was registered while underwater recording, and a fast displacement potential with noise staying for longer was noted: 34m - 1:30min; 69m - 1:40min; 172m - 1:50min; 321m - 2:00min; 580m - 2:10min. Figure 5 – Spectrogram showing the noise evolution in time, from the whale watching fast boat Bahia Adv, operating in Praia do Forte, Bahia state, Brazilian breeding ground for the humpback whale, Megaptera novaeangliae (distance from the research boat: 34m - 1:30min; 69m - 1:40min; 172m - 1:50min; 321m - 2:00min; 580m - 2:10min). 148 DISCUSSION Our findings suggest that whale-watching operation produces a similar range of noise than the biological song of the humpback whale (for details, see article 1) and may result in masking of this important breeding display, during boat approach. Given that marine mammals depend on the acoustic sensory channel for many of their activities, forcing an animal to modify its vocal behavior or reducing its hearing capability could reduce its ability to search for food, to navigate, or to contact conspecifics (Richardson et al., 1995). The effects of boat traffic on marine mammals in coastal areas are a topic of growing concern. Most of the studies addressing this problem have used behavioral attributes such as changes in site tenacity, dive patterns, swimming speed, orientation of travel, group cohesion and dive synchrony to indicate possible disturbance or stress caused by boat traffic (Richardson et al., 1995, Simmonds, 2003). For some examples, in the Arctic, Belugas (Delphinapterus leucas) exposed to a large ship and an icebreaker remained vocal and emitted a large proportion of falling tonal and noisy pulsed calls, thought to be alarm calls, while narwhals (Monodon monoceros) became silent when exposed to the same noise source (Finley et al., 1990). Gray whales (Eschrichtius robustus) along the Mexican coast reacted differently to outboard motor and drillship noise; their call rate increased in the first case and decreased in the latter (Dahlheim 1987). This variability in reactions could be due to a number of different physical and biological factors, including noise characteristics and levels at whale locations, the duration and predictability of the disturbance and, in the case of boats, the distance, 149 number, type, speed, and angle of approach. Biological factors would include the hearing capability of the animals, their behavior, threshold of disturbance, degree of habituation, and need to remain in the area (Watkins 1986, Richardson et al., 1995, Simmonds, 2003). Foote et al (2000) showed that whale watching boats can mask in the killer whale (Orcinus orca) influencing their surface and calling behavior. Important findings are reported by Erbe (2002) on the effects of whale watching boats in the killer whale acoustic behavior. By special modeling, it was found that noise of fast boats may be audible to killer whales over I6 km, may mask killer whale calls over 14 km, and may elicit a behavioral response over 200 m, causing a temporary threshold shift (TTS) in hearing of 5 dB after 30-50 min within 450 m. For boats cruising at slow speeds, the predicted ranges were 1 km for audibility and masking, 50 m for behavioral responses, and 20 m for TTS. In Newfoundland and Labrador, Canada, a code of conduct was established to minimize impacts from the whale watching operation on humpback whales, however few operators (25%) have followed it strictly (Corbelli, 2006). This same work also report negative behavioral response from the humpbacks, which avoided boats changing their dive patterns and increasing other surface behaviors such as trumpeting and tail slapping. Compliance with the code was found to have only little effects, reducing these behavioral surface response.(Corbelli, 2006) In the Brazilian breeding ground, previous investigations found a negative boat effect in the humpback behavior of the Abrolhos Bank, which reflected in the singer male displacement, stop singing and both factors concurrently (Sousa-Lima et al., 2002; Sousa-Lima & Clark, 2008). Whale-watching is a growing industry in the world (Hoyt, 2001), and Brazil is being an increasing visited destination. During 2001-2009, 522 whale watching 150 cruises left from Praia do Forte to provide sensitization experience for 14.343 tourists (Sousa-Lima et al., 2002; Sousa-Lima & Clark, 2009). (Cipolotti et al., 2005; Instituto Baleia Jubarte, Unpubl. Data). Brazilian legislation has a specific law to regulate whale watching (IBAMA 117/ 96), limiting boat approach to 100 meters and time of permanence with whales in 30 minutes. Engines should be kept in neutral position during observations, then stroking when the whale is sighted at more than 50 meters from the boat. The law also says that is prohibited to produce excessive noise closer than 300 meters from any cetacean species. Meanwhile, today we know that 300 meters for a whale perceive sounds is quite close, once they can hear across ocean basins (revised in Clark & Altmann, 2006). The presented results also support this affirmation, once boat noise, was registered more than a nautical mile away from the hydrophone. A proper legislation about acoustic disturbance should complement the present, including specification about underwater noise levels and frequency range. Furthermore, acoustic monitoring should be included in all aspects involving marine enterprises and potential risks to marine life. Despite a growing interest in acoustic technology around the world, in South America, especially in Brazil, is necessary to improve the available acoustic equipments and scientific methods which make it an ideal research tool for the future, by its large scale range, saving time and costs to researchers. Some practices also could be adopted by customers and companies aiming to minimize noise propagation during whale watching, such as to give preference for smaller boats, which uses smaller engines, require periodical maintenance process to eliminate excessive noise from engines, have a specialist team always onboard, 151 which provide before during and after precise information about the animals and how to reach them, and a careful captain which before everything is capable to observe and perceive animal behavior. Ideally, whale-watching should be conducted at a sustainable level, maximizing the potential returns while minimizing the impact on the target species, otherwise the exposure to noise from boats may result in abandonment of the area by the species of interest, harming both the animals and the whale watching operation (Higham & Lusseau 2007). The International Whaling Commission initiated a cooperative study to map whale watching impacts on cetaceans in the world (LAWE – Large Scale Whale watching Experiment, 2008). Perhaps in the future would be possible to keep enhancing people awareness through experiencing whales in the wild, and, at the same time controlling disturbance in a world where noise is constant, winning respect to the whales and their environment. 5) REFERENCES Andriolo, A.; Martins, C. C. A.; Engel, M. H.; Pizzorno, J. L. A.; Más-Rosa, S.; Freitas, A.; Morete, M. E. & Kinas, P. G. 2006. The first aerial survey to estimate abundance of humpback whale (Megaptera novaeangliae) in the breeding ground off Brazil. Journal of Cetacean Research and Management, 8(3), 307–311. Baracho-Neto, C. G.; Santos Neto, E.; Rossi-Santos, M. R.; Wedekin, L. L.; Neves, M. C.; Lima, F & Faria, D. 2012. Site fidelity and residence times of humpback whales (Megaptera novaeangliae) on the Brazilian coast. Journal of the Marine Biological Association of the United Kingdom, p1 of 9, doi:10.1017/S0025315411002074. 152 Cipolotti, S. R. C., Morete, M. E. , Basto, B. I., Engel, M. H. & Marcovaldi , E. 2005. Increasing of whale-watching activities on humpback whales in Brazil: implications, monitoring and research. Working Paper (SC/ 57/WW7) presented to the Scientific Committee at the 57th meeting of the International Whaling Commission. Ulsan: Korea. Clark, C. W. & Altman, N. S. 2006. Acoustic detections of blue whale (Balaenoptera musculus) and fin whale (B.physalus) sounds during a SURTASS LFA exercise. IEEE Journal. of Oceanic. Engeenering, 31 (1), 120 – 128. Corbelli, C. 2006. Na evaluation of the impact of commercial whale watching on humpback whales (Megaptera novaeangliae) in Newfoundland and Labrador, and the effectiveness of a voluntary code of conduct as a management strategy. PhD dissertation to the Memorial University of Newfoundland. Dahlheim, M. E. 1987. Bioacoustics of the gray whale (Eschrichtius robustus) PhD Tesis, University of British Columbia, Vancouver, B. C. Engel, M. 1996. Comportamento reprodutivo da Baleia Jubarte (Megaptera novaeangliae) em Abrolhos. Anais de Etologia, 14, 275-284. Erbe, C. 2002. Underwater noise of whale-watching boats and potential effects on killer whales (Orcinus orca), based on an acoustic impact model. Marine. Mammal. Science, 18(2), 394 – 418. Finley, K. J., Miller, G. W.,Davis, R. A. & Greene, C. R. 1990. Reactions of belugas, Delphinapterus leucas, and narwhals, Monodon monoceros, to ice-breaking ships in the Canadian high Arctic. Canadian Bulletin of Fisheries and Aquatic Sciences, 224, 97-117. 153 Higham, J.E.S. & Lusseau, D. 2007. Urgent Need for Empirical Research on Whaling and Whale Watching. Conservation Biology, 21(2), 554-558. Hoyt, E. 2001. Whale watching 2001: worldwide tourism numbers, expenditures and expanding socioeconomic benefits. IFAW, Yarmouth Port. IWC – International Whaling Comission. 2008. LAWE - Large Scale Whale Watching Experiment. Report of the Scientific Committee. Available at the International Whaling Comission.office. Morete, M. E., T. L. Bisi, R. M. Pace III & S. Rosso. 2008. Fluctuating abundance of humpback whales (Megaptera novaeangliae) in a calving ground off coastal Brazil. Journal of the Marine Biological Association of the U.K, 88,1229–1235. Palazzo, Jr., J. T., Kammers, M, and. Linhares, I. 1994. Whale watching sites in Brazil: a summary of available information. IWC/46/WW Working paper, 46th IWC. Richardson, W. J., Greene, C. R., Malme, C. I. & Thompson, D. H. 1995. Marine mammals and noise. San Dieg: Academic Press. Rossi-Santos M.R., Neto E.S., Baracho C.G., Cipolotti S.R., Marcovaldi, E. & Engel, M. H. 2008. Occurrence and distribution of humpback whales (Megaptera novaeangliae) on the north coast of the State of Bahia, Brazil, 2000–2006. ICES Journal of Marine Science, 65, 667–673. Simmonds, M.; Dolman, S. & Weilgart, L. 2003.Oceans of Noise.A WDSC (Whale and Dolphin Conservation Society).Science Report, 165p. Available with authors at mark.simmonds@wdcs.org 154 Sousa-Lima, R. S. & Clark, C. W. 2009. Whale sound recording technology as a tool for assessing the effects of boat noise in a Brazilian marine park. Park Science, 26 (1), 59-63. Sousa-Lima, R.S., Morete, M.E., Fortes, R.C., Freitas, A.C. & Engel, M.H. 2002. Impact of boats on the vocal behavior of humpback whales off Brazil. Journal of the Marine Biological Association of the U.K, 112(5), 2430-2431. Ward, E., Zerbini, A. N., Kinas, P. G., Engel, M. H., & Andriolo, A. 2006. Estimates of population growth rates of humpback whales (Megaptera novaeangliae) in the wintering grounds off the coast of Brazil (Breeding Stock A). Paper SC/58/SH14 presented to the IWC Scientific Committee. Watkins, W.A. 1986. Whale reactions to human activities in Cape Cod waters. Mairine Mammal. Science, 2, 251-262. Wedekin, L. L.; Neves, M.; Marcondes, M.; Baracho, C.; Rossi-Santos, M. R.; Engel, M. & Simões-Lopes, P. C. 2010. Site fidelity and movements of humpback whales (Megaptera novaeangliae) in the Brazilian breeding ground, southwestern Atlantic. Marine. Mammal. Science., 26 (4), 787-802. Zerbini, A. N., Ward, E., Engel, M. H., Andriolo, A., & Kinas, P. G. 2006. A Bayesian assessment of the conservation status of humpback whales (Megaptera novaeangliae) in the western South Atlantic Ocean (Breeding stock A). Paper SC/58/SH2 presented to the IWC Scientific Committee. 155 5. CONSIDERAÇÕES FINAIS 5.1) Ecologia do comportamento de canto Os grupos de baleias jubarte contendo machos cantores foram observados durante todo o período do estudo (2005 a 2009) praticamente em toda a extensão da área de estudo, de Itacaré/Bahia até Aracaju/Sergipe, cerca de 520 km de costa. Dessa forma, comprova-se a extensão da distribuição de jubartes na região Nordeste, ao norte do Banco de Abrolhos, reforçando a consideração de uma área mais ampla de concentração reprodutiva na costa do Brasil, que vai de 10° a 20° S. A ampla visão da paisagem marinha, parte do conceito de Ecologia Acústica desenvolvido por Truax (1999) na qual os organismos desenvolvem suas habilidades acústicas influenciados pelo ambiente que os cerca, colabora com a diversidade encontrada de grupos contendo machos cantores. Ademais, a distribuição extensa dos machos cantores na região de estudo, demonstra a clara utilização da paisagem acústica local que, por sua vez, apresenta influências de importantes parâmetros oceanográficos, como a plataforma continental estreita e a consequente variação de profundidade. Fatores como o regime de marés e fases da lua não demostraram aparente relação com a distribuição de grupos com machos cantores na área de estudo. Aliado a estes fatores, foi encontrada uma grande variação na estrutura de grupos contendo machos cantores, mais complexa do que descrita anteriormente para a mesma área de alimentação. Dessa forma, suporta- se a hipótese 1, de que existe uma relação entre a complexidade da estrutura de grupo no qual o macho cantor está inserido e o 156 contexto ecológico no qual este comportamento ocorre, sendo que fora da área de concentração reprodutiva a estrutura do canto das baleias jubarte tende a se diferenciar. Tais diferenças também permitem avançar na discussão do sistema de acasalamento da espécie, mais aceito como um sistema de poliginia que inclui o lek flutuante, como proposto por (Clapham 1996). Outros autores trazem discussões que complementam a visão de lek, sugerindo que o sistema deve ser mais complexo do que pensado anteriormente (eg. Connor et al., 2000; Darling et al;. 2006). Os resultados sobre as diferentes estruturas de grupos podem corroborar com essa teoria da maior complexidade do sistema de acasalamento da baleia jubarte. 5.2) Descrição acústica do comportamento de canto A primeira descrição do canto da baleia jubarte para a região de estudo, demonstra que as baleias estão utilizando um amplo ambiente durante suas atividades de reprodução, através de um amplo espectro de frequência (20 – 24,000 Hz), com maior energia entre as frequências médias de 224,4 a 4422 Hz, além da duração bem variável de 0,13 a 6,5 segundos (média = 1,06) e intensidade sonora de 62 a 130,4 dB (re SNR) (média = 105). Os harmônicos foram registrados em 73 % dos sinais medidos, sendo que muitos deles chegaram até o topo da resposta de freqüência do sistema de gravação de 24 kHz. Os valores de frequência máxima foram maiores do que os já reportados anteriormente, podendo ser devido a uma resposta na melhor adaptação do sinal em relação à profundidade do ambiente local que esta sendo utilizado. A ocorrência de harmônicos de alta freqüência em área de profundidades semelhantes à nossa área de estudo (Au et al., 2006) pode fortalecer essa interpretação. 157 A diversidade da forma dos cantos foi evidente entre duas regiões distintas na mesma área de reprodução. O número de notas e de temas apresentou complexidade maior no Banco de Abrolhos quando comparada à Costa Norte, assim como o número de machos cantores registrados durante as gravações. Este resultado suporta a hipótese 2 de que existe uma relação entre a complexidade do canto e o contexto ecológico no qual este comportamento ocorre, sendo que fora da área de concentração reprodutiva a estrutura do canto das baleias jubarte tende a se diferenciar. Aliado a este fato, a descrição do comportamento de coro, feita pela primeira vez para a população de jubartes que freqüenta a costa do Brasil, dá forças para os argumentos de um sistema de acasalamento mais complexo do que previamente descrito, onde a aparente proporção sexual é igual (Cypriano-Souza et al., 2010), assim como a fidelidade de área há longo prazo (Baracho-Neto et al., 2012) resultando em maior mobilidade tanto de fêmeas como de machos da população e, assim, desencadeando os processos formadores para o acasalamento sem levar em conta somente a teoria de sucesso reprodutivo por “hotspot” ou por machos “hotshot” (Krebs & Davies, 1993) e compondo, dessa forma, um sistema de acasalamento que possa atuar com um maior dinamismo que requer uma espécie de grande tamanho e grande movimentações periódicas, como a baleia jubarte. 5.3) Descrição acústica dos ruídos antropogênicos Os resultados de dois artigos do presente trabalho (artigos 3 e 4) suportam a hipótese 3 sobre a existência da sobreposição de nicho acústico, onde ruídos 158 provocados por atividades humanas causam interferências no comportamento das baleias jubarte No artigo 3 foi apresentado que as plataformas de óleo e gás produzem um amplo espectro de ruídos acústicos, variando em toda a capacidade de nosso sistema de gravação (0 a 48 kHz), sugerindo o uso futuro de um equipamento de registro mais amplo de frequências. A intensidade sonora dos ruídos de plataformas, registrada no parâmetro “Energia”, variou entre 100 e 150 dB (re SNR), e estão concentradas em frequências baixas e médias (0 a 10 kHz), as quais compõe grande parte do nicho acústico da baleia jubarte. De forma semelhante, constatou-se que o turismo de observação de baleias, apesar de ser uma valorosa ferramenta para a conservação de muitas espécies de cetáceos, pode produzir um amplo espectro de ruídos acústicos, cujas energias centrais estão no mesmo nicho acústico utilizado pelas jubartes. Desta forma, foi confirmada a sobreposição dos sons biológicos das baleias quando as mesmas se aproximam destas fontes de ruídos antropogênicos localizadas em sua área de reprodução. 159 6) REFERÊNCIAS BIBLIOGRÁFICAS Andriolo, A.; Martins, C. C. A.; Engel, M. H.; Pizzorno, J. L. A.; Más-Rosa, S.; Freitas, A.; Morete, M. E. &Kinas, P. G. 2006a.The first aerial survey to estimate abundance of humpback whale (Megapteranovaeangliae) in the breeding ground off Brazil.Journal of Cetacean Research and Management, 8(3), 307–311. Andriolo, A., Kinas, P.G., Engel, M.E. & Martins, C.C.A. 2006b. Monitoring humpback whale (Megapteranovaeangliae) population in the Brazilian breeding ground, 2002 to 2005.IWC Scientific Committee, 12 pp. Arraut, E. M. &Vielliard, J. M. E. 2004. The song of the Brazilian population of humpback whale Megapteranovaeangliae in the year 2000: individual song variations and possible implications. Anais da Academia Brasileira de Ciências, 76(2), 373-380. Au, W. W. L., Pack, A., Lammers, M. L.; Herman, L.M.; Deakos, M.H. & Andrews, K. 2006. Acoustic properties of the humpback whale song. Journal Acoustic Society of America, 120(2),1103-1110. Baracho-Neto, C. G.; Santos Neto, E.; Rossi-Santos, M. R.; Wedekin, L. L.; Neves, M. C.; Lima, F & Faria, D. 2012. Site fidelity and residence times of humpback whales (Megapteranovaeangliae) on the Brazilian coast.Journal of the Marine Biological Association of the United Kingdom, p1 of 9, doi:10.1017/S0025315411002074. Bradbury, J. W., &Vehrencamp, S. L. 1998.Principals of animal communication. Sunderland, MA: Sinauer Associates. 160 Chittleborough, R. G. 1965. Dynamics of two population of the humpback whale, Megapteranodosa (Bonaterre).Australian Journal of Marine and Freshwater Research, 16, 33-128. Clapham, P. J. & Mayo, C. A. 1987.Reproduction and recruitment of individually identified humpback whales, Megapteranovaeangliae, observed in Massachusets Bay, 1979-1985.Canadian Journal of Zoology, 65, 2853-2863. Clapham, P. J. 1992. The attainment of sexual maturity in humpback whales.Canadian Journal of Zoology, 70, 1470-1472. Clapham, P. J. & Mead, J. G. 1999.Megapteranovaeangliae.Mammalian Species, 604, 1-9. Cypriano-Souza, A. L., Gabriela, P., Fernandez, C. A., Lima-Rosa, V. Engel, M. H., Bonatto, S. L. 2010. Microstellite genetic characterization of the humpback whale (Megapteranovaeangliae) breeding ground off Brazil (Breeding Stock A).Journal of Heredity, 101 (2), 189-200. Darling, J.D. & Sousa-Lima, R.S. 2005.Songs indicate interactions between humpback whale (Megapteranovaeangliae) populations in the Western and Eastern South Atlantic Ocean. Marine Mammal Science, 21 (3), 557-566. Darling, J. D., Jones, M. E. &Nicklin, C. P. 2006. Humpback whale songs: Do they organize males during the breeding season? Behaviour, 143,1051-1101. Dawbin, W.H. & Eyre, E.J. 1991. Humpback whale songs along the coast of Western Australia and some comparison with east coast songs.MemoirsoftheQueenslandMuseum,30 (2), 249-254. 161 Engel, M. 1996. Comportamento reprodutivo da Baleia Jubarte (Megaptera novaeangliae) em Abrolhos. Anais de Etologia, 14, 275-284. Eriksen, N., Millar, L.A., Tougaard, J., &Helweg, D.A. 2005.Cultural change in the songs of humpback whales (Megapteranovaeangliae) from Tonga.Behaviour, 142, 305-328. Helweg, D. A., Cato, D. H., Jenkins, D .F., Garrigue, C. & McCauley, R. D. 1998. Geographic variation in South Pacific humpback whale songs.Behaviour135, 1-17. Higham, J.E.S. &Lusseau, D. 2007.Urgent need for empirical research into whaling and whale whatching.Conservation Biology, 21 (2), 54-558. IWC. - International Whaling Commission. 1998. Annex G–Report of the subcommittee on comprehensive assessment of Southern Hemisphere humpback whales. Reports of the International Whaling Commission, 48, 170–182. Johnson, S. R.; Richardson, W. J.; Yazvenko, S. B.; Blokhin, S. A.; Gailey, G.; Jenkerson, M. R.; Meier, S. K.; Melton, H. R.; Newcomer, M. W.; Perlov, A. S.; Rutenko, S. A.; Würsig, B.; Martin, C. R. & Egging, D. E. 2007. A western gray whale mitigation and monitoring program for a 3-D seismic survey, Sakhalin Island, Russia. Environmental Monitoring.Assessment. DOI 10.1007/s10661-007-9813-0 Katona, S., K., & Whitehead, H. 1981.Identifying humpback whales using their natural markings.Polar Record, 20, 439-444. Lanz, R. 2004. Passeios através da História à luz da Antroposofia. Editora Antroposófica, 255 p. 162 Lodi, L. 1994. Ocorrências de baleias-jubarte, Megaptera novaeangliae, no Arquipélago de Fernando de Noronha, incluindo um resumo de registros de capturas no Nordeste do Brasil. Biotemas, 7(1), 116-123. Maeda, H., Higashi, N., Uchida, S., Sato, F., Yamaguchi, M., Koido, T. & Takemura, A. 2000. Songs of humpback whales, Megapteranovaeangliae, in the Ryukyu and Bonin regions.MammalStudy, 25, 59-73. Martins, C. C. A., Morete, M. E.,Engel, M. H., Freitas, A. C., Secchi E. R &Kinas, P. G. 2001. Aspects of habitat use patterns of humpback whales in the Abrolhos Bank, Brazil, breeding ground. Memorial ofQueenslandMuseum.47, 563–570. Martins, C.C.A. 2004. O uso do Sistema de Informações Geográficas como ferramenta naidentificação de áreas prioritárias para a conservação da população de baleia jubarte, Megaptera novaeangliae, em seu sítio reprodutivo na costa leste do Brasil. Dissertação de Mestrado, Universidade de Brasília. Matilla, D. K., Guinee, L. N. & Mayo, C. A. 1987. Humpback whale songs on a North Atlantic feeding ground.Journal of Mammalogy.,68(4), 880-883. McCauley, R. D., Fewtrell, J., Duncan, A. J., Jenner, C., Jenner, M. N., Penrose, J. D., et al. 2000a. Marine seismic surveys—a study of environmental implications.Australian Petroleum Production and Exploration Association Journal, 40, 692–708. McCauley, R. D., Fewtrell, J., Duncan, A. J., Jenner, C., Jenner, M. N., Penrose, J. D., et al. 2000b. Marine seismic surveys: analysis and propagation of air gun signals and effects of air gun exposure on humpback whales, sea turtles, fishes and squid. Project CMST 163, Report R99- 15 from Centre for Marine Science and 163 Technology, Curtin University of Technology, Perth, Western Australia, Australia, 198 pp. Available at http://www.erin.gov.au/epbc/assessmentsapprovals/guidelines/seismic/index. McGregor, P. K. & Krebs, J. R. 1984. Song Learning and deceptive mimicry.Animal Behaviour32, 280-287. McSweeney, D. J., Chu, K. C., Dolphin, W. F. &Guinee, L. N. 1989. North Pacific humpback whale songs: A comparison of southeast Alaskan feeding ground songs with Hawaiian wintering ground songs. Marine Mammal Science, 5, 139–148. Mikhalev, Y. A. 1997. Humpback whales, Megapteranovaeangliae, in the Arabian Sea.Marine. Ecology Progress Series.,149, 13-21. Miller, P.J. O., Biassoni, N., Samuels, A., Tyack, P.L. 2000. Whale songs lengthen in response to sonar: male humpbacks modify their sexual displays when exposed to man-made noise Nature, 405 (6789), 903. Morete, M.E., Bisi, T. & Rosso, S. 2007. Temporal pattern of humpback whale (Megapteranovaeangliae) group structure around Abrolhos Archipelago breeding region, Bahia, Brazil.Journal of the Marine Biological Association of the United Kingdom, 87, 87–92 Naguib, M. 1998. Perpection of degradation in acoustic signals and its implications for ranging.Behavior.Ecology.Sociobiology.42, 139-142. Noad, M .J.,Catom, D. H., Brydenm, M., Jenner, N., Jener, C. S. 2000. Cultural revolution in whale songs.Nature, 408, 537. Payne, S. &McVay, S. 1971. Songs of humpback whales.Science, 173, 585–597. 164 Payne, K. P., Tyack, D. R., Payne, R. 1983. Progressive changes in the songs of humpback whales (Megapteranovaeangliae): A detailed analysis of two seasons in Hawaii. In. Communication and behavior of whales. (Ed R. Payne), pp 9-57. Boulder, CO: Westview Press. Payne, K, & Payne, R. 1985. Large scale changes over 19 years in songs of humpback whales in Bermuda. Zeitschrift fur Tierpsychologie, 68, 89-1 14. Reeves, R.R., Smith, B.D., Crespo, E.A. e Notarbartolo di Sciara, G. (Eds) .2003. Dolphins, Whales and Porpoises: 2002–2010. Conservation Action Plan for the World’s Cetaceans. IUCN/SSC Cetacean Specialist Group. Switzerland. Richardson, W. J., Greene, C. R., Malme, C. I. & Thompson, D. H. 1995. Marine mammals and noise. San Dieg: Academic Press. Rossi-Santos M.R., Neto E.S., Baracho C.G., Cipolotti S.R., Marcovaldi, E. & Engel, M. H. 2008. Occurrence and distribution of humpback whales (Megapteranovaeangliae) on the north coast of the State of Bahia, Brazil, 2000– 2006. ICES Journalof Marine Science,65, 667–673. Tavares, J. S. 1916. A pesca da Baleia no Brazil. Brotéria, Revista de Sciencias Naturaes: Série de Vulgarização Scientífica, 14, 69-80. Tollenare, L.F. 1961. A pesca da baleia (pelo Recôncavo Baiano – 1817). Em: Bruno, E.S. & Riedel, D. (org.). Histórias e Paisagens do Brasil – Coqueirais e Chapadões – Bahia e Sergipe. EditoraCultrix, São Paulo, pp. 63-79. Towsend, C. D. 1935. The distribution of certain whales as shown by logbooks of American Whaleships.Zoologica, 19 (1), 2-50. 165 Truax, B. 1999.Handbook for Acoustic Ecology.Cambridge Street Publishing.CDroom. Tyack, P.L. 1981. Interactions between singing Hawaiian humpback whales and conspecifics nearby.Behav. Ecol. Sociobiol. 8, 105–116. Tyack, P. L. 2000. Functional aspects of cetacean communication.In: Mann, J., Connor, R. C., Tyack, P. L. & Whitehead, H. (eds.) Cetacean Societies: Field Studies of Dolphins and Whales, 270-307. Ward, E., Zerbini, A. N., Kinas, P. G., Engel, M. H., &Andriolo, A. 2006. Estimates of population growth rates of humpback whales (Megapteranovaeangliae) in the wintering grounds off the coast of Brazil (Breeding Stock A). Paper SC/58/SH14 presented to the IWC Scientific Committee. Wedekin, L. L.; Neves, M.; Marcondes, M.; Baracho, C.; Rossi-Santos, M. R.; Engel, M. & Simões-Lopes, P. C. 2010. Site fidelity and movements of humpback whales (Megapteranovaeangliae) in the Brazilian breeding ground, southwestern Atlantic.Marine.Mammal.Science.,26 (4), 787-802. Whitehead, H. 1981. The behaviour and ecology of the Northwest Atlantic humpback whales.Ph.D. thesis.University of Cambridge, Cambridge, 256 pp. Whitehead, H. & Moore, M. J. 1982.Distribution and movements of West Indian humpback whale in winter.Canadian. Journal of Zoology, 60, 2203-2211. Winn, H. E. & Winn, L. K. 1978.The song of the humpback whale Megapteranovaeangliae in the West Indies.Marine Biology, 47, 97-114. 166 Zerbini, A. N., Ward, E., Engel, M. H., Andriolo, A., & Kinas, P. G. 2006.A Bayesian assessment of the conservation status of humpback whales (Megapteranovaeangliae) in the western South Atlantic Ocean (Breeding stock A). Paper SC/58/SH2 presented to the IWC Scientific Committee. 167 Anexo 1 - Natural Observation and Integration under the Goethean method: New possibilities to the humpback whale song understanding “If we want to attain a living understanding of nature, we must become as flexible and mobile as nature herself”. Johan Wolfang von Goethe PREFACE During my behavioral studies on whale songs, I have feeling the need of new approaches to integrate a different nature conception to my inquisitive curiosity about cetacean lives. Following this wish, I bring a brief reflection on another scientific method I have recently known, and which I think may contribute to a next broader step in the natural science. Modern biology has increasingly moved out of nature and into the laboratory, driven by a desire to find an underlying mechanistic basis of life. Despite all its success, this approach is one-sided and urgently calls for a counterbalancing movement toward nature (Skaftnesmo, 2009.) Only if we find ways of transforming our propensity to reduce the world to parts and mechanisms, will we be able to see, value, and protect the integrity of nature and the interconnectedness of all things. This demands a new way of seeing. 168 THE GOETHEAN SCIENCE Johann Wolfgang von Goethe (1749 — 1832) developed the phenomenological method for scientific research a hundred years before phenomenology was introduced as a philosophic discipline. (Skaftnesmo, 2009). Most people know Goethe for his poetry, but he researched many areas of science, like zoology, botany, meteorology and geology, optics and color. Today his methods are naturally given more attention than his results. And that attention is increasing (Skaftnesmo, 2009). Instead of the dualist vision in which man, as observer and thinking subject confronting nature only trough the cognitive effort from intellect, Goethe adopts that man is part of the nature and nature is part of man. Through his approach, the organism teaches us about itself, revealing its characteristics and its interconnectedness with the natural world that sustains it. This manner of doing science enhances our sense of responsibility for nature. In this way, Goethe’s vision is directly associated to phenomenology, which designs theoretical concepts from the simple phenomenon itself, and not following a forged and unperceptive reality beyond these concepts (Brady, 1998). The emphasis here it is in the scientific capacity of perception and in the importance of sensorial phenomena as a confident source of information, and as the observer gets more experienced, he becomes the best research instrument (Hensel, 1998). The use of equipments and instruments would not replace the personal observation. For Goethe, this substitution would lead only to accumulate information, but not conduct to the understanding of the phenomenon neither in any form of 169 interact with it. Following the experience, the investigative search would be for the idea properly, or the basics of nature, in which the diversity of experiences expand in the sensorial world. Considering the phenomenological vision, the scientific research turns into a process which is deeply dependent of the personal ability to observe patterns, forms and archetypes within the multiplicity of nature (Zajonc, 2005). Goethe also assume that this fact bring a larger responsibility to the scientist, as well as the opportunity to self-knowing along the scientific process (Goethe 1988). The questions of causality (cause and effect) do not invite us to dive down into the qualities of the humpback whale song. Here the song is a part of the integral scene. But Goethe’s path of inquiry is a science in which the questions what and how come first (Head, 2005). The path to understand a phenomenon – who are you, whale? – begins with the question: How are you expressing yourself? How is your way of being? If we start with that question, we have to let the phenomena work into us. We need a science of nature that takes seriously the qualities of nature and approach it as a whole. Goethe’s science is a deep ecological method that indicates the next step science must take if life on earth is to survive: To begin to know the inherent qualities of what we manipulate, preferably before we fire off our “gene guns”: So on, two centuries in front of his time, Goethe recalled about the urgency of joining the human being and the natural world throughout the integral experience and understanding. Based on Goethe´s method, perhaps we could develop ways of 170 thinking and perception that integrate self-reflective and critical thought, imagination, and careful, detailed observation of the phenomena. This vision will not replace the conventional scientific method, but it will allow observing phenomena through a different point of view. Considering totality, we can perceive intrinsically subtle relations inside a system and include ourselves as part of it. Environmental activities, where man interacts with the natural world, require this skill to recover and preserve nature. In this context, the Ocean is open to this approach and perhaps in a near future, developing a vision of an integrative understanding of the Ocean, we will find in the humpback whale song a key to last a long time with respect to this planet. Should not be by chance that the humpback whale exert for a long time a fascination even in experienced scientists who described it as the most spectacular display in the whole animal kingdom (Wilson 1975). Rudolf Steiner (1985), based on Goethe studies says, that if the observer reach to know the inherent principles manifested in the natural phenomena, it may create forms with a inherent consistency. The result may not to be naturalism, as a nature copy, but instead would be an expression of the formative principles that act in nature (Riegner & Wilkes, 1998). If these activities are conducted within a conception of totality, they belong to this totality and then serve perfectly to the human being and to the environment it inhabits. 171 REFERENCES Bortoft, H. 1996. The Wholeness of Nature: Goethe’s Way Toward a Science of Conscious Participation in Nature. Hudson, NY: Lindisfarne Press. Brady, R. H. 1998. The Idea in Nature: Rereading Goethe’s Organics. In Goethe’s Way of Science: A Phenomenology of Nature, Albany: State University of New York Press. Goethe, J. 1988. Scientific Studies. Princeton: Princeton University Press. Head, J. 2005. Doing Goethean Science. Trivium Publications, Amherst, MA. The Nature Institute. 8 (1), 27-52. Hensel, H. 1998. Goethe, Science, and Sensory Experience, In Goethe’s Way of Science. A Phenomenology of Nature, Albany: State University of New York Press. Riegner, M & Wilkes, J. 1998. Flowforms and the Language of Water. In Goethe’s Way of Science: A Phenomenology of Nature, Albany: State University of New York Press. Skaftnesmo, T. 2009. Goethe’s Phenomenology of Nature: A Juvenilization of Science. Rivista di Biologia / Biology Forum, 102, 169-198. Steiner, R. 1985. Goethe’s World View. Spring Valley, NY: Mercury Press. Wilson, E. O. 1975. Sociobiology: The New Synthesis. Cambridge, Mass.: Harvard University Press. 172 Zajonc, A. 2005. Goethe and the Science of His Time: An Historical Introduction. In Goethe’s Way of Science: A Phenomenology of Nature, Albany: State University of New York Press. 173