Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-26T07:47:09.817Z Has data issue: false hasContentIssue false

Isotopic niche of two coastal dolphins in a tropical marine area: specific and age class comparisons

Published online by Cambridge University Press:  20 July 2015

Ana Paula Madeira Di Beneditto*
Affiliation:
Universidade Estadual do Norte Fluminense Darcy Ribeiro, Centro de Biociências e Biotecnologia, Laboratório de Ciências Ambientais, Av. Alberto Lamego, 2000, Campos dos Goytacazes/RJ 28013-602, Brazil
Leandro Rabello Monteiro
Affiliation:
Universidade Estadual do Norte Fluminense Darcy Ribeiro, Centro de Biociências e Biotecnologia, Laboratório de Ciências Ambientais, Av. Alberto Lamego, 2000, Campos dos Goytacazes/RJ 28013-602, Brazil
*
Correspondence should be addressed to: A.P. Madeira Di Beneditto, Universidade Estadual do Norte Fluminense Darcy Ribeiro, Centro de Biociências e Biotecnologia, Laboratório de Ciências Ambientais, Av. Alberto Lamego, 2000, Campos dos Goytacazes/RJ 28013-602, Brazil email: [email protected]

Abstract

Niche differentiation is the process by which species evolve different forms of resource use, and is used to explain the co-occurrence in a variety of habitats. The Bayesian framework of isotopic niche through quantitative niche metrics was applied to estimate and compare the niche breadth of two sympatric coastal dolphins Pontoporia blainvillei and Sotalia guianensis in a tropical marine area. The standard ellipse areas (SEAs) based on species were quite similar, but the SEAs based on age class showed that the matures’ niche space is larger than the immatures’ for both dolphins. A probabilistic comparison of SEAs indicated that specific differences are negligible compared with age class differences. Trophic level measures (δ15N range) indicated that the dolphins are comparable as top predators, and that immature specimens have a lower range of trophic levels than mature ones. In terms of variability of food sources (δ13C range), S. guianensis showed a larger value than P. blainvillei and mature specimens had larger δ13C range than immatures for both species. In general, P. blainvillei and S. guianensis were similar in the niche metrics, with SEAs overlap of 52.1 and 39.7%. The immature specimens showed reduced isotopic niche overlap between species (<3%). In conclusion, Pontoporia blainvillei and S. guianensis specimens have similar isotopic niches, but pronounced differences between immature and mature specimens, both intraspecific and interspecific. Isotopic niche and quantitative metrics along with previous data on stomach contents provide a strong representation of species niche and their relationships.

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Abrantes, K.G., Barnett, A. and Bouillon, S. (2014) Stable isotope-based community metrics as a tool to identify patterns in food web structure in east African estuaries. Funtional Ecology 28, 270282.Google Scholar
Barreto, A.S., Rocha Campos, C.C., Rosas, F.W., Silva Júnior, J.M., Dalla Rosa, L., Flores, P.A.C. and da Silva, V.M.F. (2010) Plano de ação nacional para a conservação dos mamíferos aquáticos: pequenos cetáceos. Instituto Chico Mendes de Conservação da Biodiversidade: Brasília. http://www.icmbio.gov.br/portal/images/stories/docs-plano-de-acao/pan-peqs-cetaceos/pan-pequenoscetaceos-web.pdf.Google Scholar
Bolnick, D.I., Amarasekare, P., Araujo, M.S., Bürger, R., Levine, J.M., Novak, M., Rudolf, V.H.W., Schreiber, S.J., Urban, M.C. and Vasseur, D.A. (2011) Why intraspecific trait variation matters in ecology. Trends in Ecology and Evolution 26, 183192.Google Scholar
Bolnick, D.I., Svänback, R., Araujo, M.S. and Persson, L. (2007) Comparative support for the niche variation hypothesis that more generalized populations also are more heterogeneous. Proceedings of the National Academy of Sciences USA 104, 1007510079.Google Scholar
Bolnick, D.I., Svanbäck, R., Fordyce, J.A., Yang, L.H., Davis, J.M., Hulsey, C.D. and Forister, M.L. (2003) The ecology of individuals: incidence and implications of individual specialization. American Naturalist 161, 128.CrossRefGoogle ScholarPubMed
Cherel, Y., Hobson, K.A., Bailleu, F. and Groscola, R. (2005) Nutrition, physiology, and stable isotopes: new information from fasting and molting penguins. Ecology 86, 28812888.CrossRefGoogle Scholar
Danilewicz, D., Rosas, F., Bastida, R., Marijo, J., Muelbert, M., Rodríguez, D., Lainson-Brito, J. Jr., Ruopollo, V., Ramos, R., Bassoi, M., Ott, P.H., Caon, G., Rocha, A.M., Catão-Dias, J.L. and Secchi, E.R. (2002) Report of the Working Group on Biology and Ecology. Latin American Journal of Aquatic Mammals Special Issue 1, 2542.CrossRefGoogle Scholar
Di Beneditto, A.P.M. and Ramos, R.M.A. (2001) Biology and conservation of the franciscana (Pontoporia blainvillei) in the north of Rio de Janeiro, Brazil. Journal of Cetacean Research and Management 2, 185192.Google Scholar
Di Beneditto, A.P.M. and Ramos, R.M.A. (2004) Biology of the boto-cinza dolphin (Sotalia fluviatilis) in south-eastern Brazil. Journal of the Marine Biological Association of the United Kingdom 84, 12451250.Google Scholar
Di Beneditto, A.P., Ramos, R.M.A. and Lima, N.R.W. (2001) Os golfinhos: origem, classificação, captura acidental, hábito alimentar, 1st edn.Porto Alegre: Editora Cinco Continentes.Google Scholar
Di Beneditto, A.P.M., Rezende, C.E., Camargo, P.B. and Kehrig, H.A. (2013) Trophic niche comparison between two predators in northern Rio de Janeiro State, Brazil: a stable isotopes approach. Biota Neotropica 13, 2933.Google Scholar
Di Beneditto, A.P.M., Santos, R.A., Rosa, K.R. and Siciliano, S. (2015) Magellanic penguins: stomach contents and isotopic profiles to assess the feeding demands of juveniles in a wintering area off Brazil. Journal of the Marine Biological Association of the United Kingdom 95, 423430.Google Scholar
Di Beneditto, A.P.M. and Siciliano, S. (2007) Stomach contents of the marine tucuxi dolphin (Sotalia guianensis) from Rio de Janeiro, south-eastern Brazil. Journal of the Marine Biological Association of the United Kingdom 87, 253254.Google Scholar
Di Beneditto, A.P.M., Souza, C.M.M., Kehrig, H.A. and Rezende, C.E. (2011) Use of multiple tools to assess the feeding preference of coastal dolphins. Marine Biology 158, 22092217.Google Scholar
Froese, R. and Pauly, D. (2015) FishBase. World Wide Web electronic publication. Available at http://www.fishbase.org (accessed 15 January 2015).Google Scholar
Hobson, K.A. and Welch, H.E. (1992) Determination of trophic relationships within a high Arctic food web using δ13C and δ15 N analysis. Marine Ecology Progress Series 84, 918.Google Scholar
Hurlbert, S.H. and Lombardi, C.M. (2009) Final collapse of the Neyman-Pearson decision theoretic framework and rise of the neoFisherian. Annales Zoologici Fennici 36, 311349.Google Scholar
International Union for Conservation of Nature (2015) IUCN red list of threatened species. Version 2011.2. Available at http://www.iucnredlist.org (accessed 14 February 2015).Google Scholar
Jackson, A.L., Inger, R., Parnell, A.C. and Bearhop, S. (2011) Comparing isotopic niche widths among and within communities: SIBER – Stable Isotope Bayesian Ellipses in R. Journal of Animal Ecology 80, 595602.Google Scholar
Jackson, M.C. and Britton, J.R. (2014) Divergence in the trophic niche of sympatric freshwater Invaders. Biological Invasions 16, 10951103.Google Scholar
Jennings, S., Pinnegar, J.K., Nicholas, V.C. and Warr, K.J. (2002) Linking size-based and trophic analyses of benthic community structure. Marine Ecology Progress Series 226, 7785.Google Scholar
Kehrig, H.A., Seixas, T.G., Malm, O., Di Beneditto, A.P.M. and Rezende, C.E. (2013) Mercury and selenium biomagnification in a Brazilian coastal food web using nitrogen stable isotope analysis: a case study in an area under the influence of the Paraiba do Sul River plume. Marine Pollution Bulletin 75, 283290.CrossRefGoogle Scholar
Kiszka, J., Sinom-Bouhet, B., Martinez, L., Pusineri, C., Richard, P. and Ridoux, V. (2011) Ecological niche segregation within a community of sympatric dolphins around a tropical island. Marine Ecology Progress Series 433, 273288.Google Scholar
Knickle, D.C. and Rose, G.A. (2014) Dietary niche partitioning in sympatric gadid species in coastal Newfoundland: evidence from stomachs and C-N isotopes. Environmental Biology of Fish 97, 343355.Google Scholar
MacArthur, R.H. (1972) Geographical ecology, patterns in the distribution of species, 1st edn.New York, NY: Harper and Row.Google Scholar
Lassalle, G., Chouvelon, T., Bustamante, P. and Niquil, N. (2014) An assessment of the trophic structure of the Bay of Biscay continental shelf food web: comparing estimates derived from an ecosystem model and isotopic data. Progress in Oceanography 120, 205215.Google Scholar
Layman, C.A., Arrington, D.A., Montan, C.G. and Post, D.M. (2007) Can stable isotope ratios provide for community-wide measures of trophic structure? Ecology 88, 4248.Google Scholar
Levins, R. (1968) Evolution in changing environments, 1st edn.Princeton, NJ: Princeton University Press.Google Scholar
Oliveira, E.C.S., Tardin, R.H., Poletto, F.R. and Simão, S.M. (2013) Coordinated feeding behavior of the Guiana dolphin, Sotalia guianensis (Cetacea: Delphinidae), in southeastern Brazil: a comparison between populations. Zoologia 30, 585591.Google Scholar
Parnell, A.C., Inger, R., Bearhop, S. and Jackson, A.L. (2010) Source partitioning using stable isotopes: coping with too much variation. PLoS ONE 5, e9672. doi: 10.1371/journal.pone.0009672.Google Scholar
Perrin, W.F., Würsig, B. and Thewissen, H. (2009) Encyclopedia of marine mammals, 2nd edn.San Diego, CA: Academic Press.Google Scholar
Pimm, S.L. (2002) Food webs, 2nd edn.Chicago, IL: The University of Chicago Press.Google Scholar
Post, D.M., Layman, C.A., Arrington, D.A., Takimoto, G., Quattrochi, J. and Montaña, C.G. (2007) Getting to the fat of the matter: models, methods and assumptions for dealing with lipids in stable isotope analyses. Oecologia 152, 179189.Google Scholar
Ramos, R.M.A., Di Beneditto, A.P. and Lima, N.R.W. (2000) Growth parameters of Pontoporia blainvillei and Sotalia fluviatilis (Cetacea) in northern Rio de Janeiro, Brazil. Aquatic Mammals 26, 6575.Google Scholar
R Development Core Team (2011) R: A language and environment for statistical computing. Version 2.12.2. R Foundation for Statistical Computing. Computer program.Google Scholar
Rendell, L. and Whitehead, H. (2001) Culture in whales and dolphins. Behavioral and Brain Sciences 24, 309382.Google Scholar
Secchi, E.R., Danilewicz, D. and Ott, P.H. (2003) Applying the phylogeographic concept to identify franciscana dolphin stocks: implications to meet management objectives. Journal of Cetacean Research and Management 5, 6168.Google Scholar
Segura, A.M., Franco-Trecu, V., Franco-Fraguas, P., Arim, M. and Willian, T. (2015) Gape and energy limitation determine a humped relationship between trophic position and body size. Canadian Journal of Fisheries and Aquatic Science 72, 198205.Google Scholar
Tardin, R.H.O., Espede, M.A., Nery, M.F., D'Azeredo, F.T. and Simão, S.M. (2011) Coordinated feeding tactics of the Guiana dolphin, Sotalia guianensis (Cetacea: Delphinidae), in Ilha Grande Bay, Rio de Janeiro, Brazil. Zoologia 28, 291296.Google Scholar
Whitehead, H., MacLeod, C.D. and Rodhouse, P. (2003) Differences in niche breadth among some teuthivorous mesopelagic marine mammals. Marine Mammal Science 19, 400406.CrossRefGoogle Scholar
Zapata-Hernández, G., Sellanes, J., Thurber, A., Levin, L.A., Chazalon, F. and Linke, P. (2014) New insights on the trophic ecology of bathyal communities from the methane seep area off Concepción, Chile (~36°S). Marine Ecology 35, 121.Google Scholar