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Commonness and rarity in the marine biosphere.
Connolly, Sean R; MacNeil, M Aaron; Caley, M Julian; Knowlton, Nancy; Cripps, Ed; Hisano, Mizue; Thibaut, Loïc M; Bhattacharya, Bhaskar D; Benedetti-Cecchi, Lisandro; Brainard, Russell E; Brandt, Angelika; Bulleri, Fabio; Ellingsen, Kari E; Kaiser, Stefanie; Kröncke, Ingrid; Linse, Katrin; Maggi, Elena; O'Hara, Timothy D; Plaisance, Laetitia; Poore, Gary C B; Sarkar, Santosh K; Satpathy, Kamala K; Schückel, Ulrike; Williams, Alan; Wilson, Robin S.
  • Connolly SR; School of Marine and Tropical Biology, and Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia; knowlton@si.edu Sean.connolly@jcu.edu.au.
  • MacNeil MA; Australian Institute of Marine Science, Townsville, QLD 4810, Australia;
  • Caley MJ; Australian Institute of Marine Science, Townsville, QLD 4810, Australia;
  • Knowlton N; National Museum of Natural History, Smithsonian Institution, Washington, DC 20013; knowlton@si.edu Sean.connolly@jcu.edu.au.
  • Cripps E; School of Mathematics and Statistics, University of Western Australia, Perth, WA 6009, Australia;
  • Hisano M; School of Marine and Tropical Biology, and Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia;
  • Thibaut LM; School of Marine and Tropical Biology, and Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD 4811, Australia;
  • Bhattacharya BD; Department of Marine Science, University of Calcutta, Calcutta 700 019, India;
  • Benedetti-Cecchi L; Dipartimento di Biologia, University of Pisa, I-56126 Pisa, Italy;
  • Brainard RE; Coral Reef Ecosystem Division, Pacific Islands Fisheries Science Center, National Oceanic and Atmospheric Administration, Honolulu, HI 96818;
  • Brandt A; Biocenter Grindel and Zoological Museum, University of Hamburg, 20146 Hamburg, Germany;
  • Bulleri F; Dipartimento di Biologia, University of Pisa, I-56126 Pisa, Italy;
  • Ellingsen KE; Norwegian Institute for Nature Research, FRAM-High North Research Centre for Climate and the Environment, 9296 Tromsø, Norway;
  • Kaiser S; German Centre for Marine Biodiversity Research, Senckenberg am Meer, 26382 Wilhelmshaven, Germany;
  • Kröncke I; Marine Research Department, Senckenberg am Meer, 26382 Wilhelmshaven, Germany;
  • Linse K; British Antarctic Survey, Cambridge CB3 0ET, United Kingdom;
  • Maggi E; Dipartimento di Biologia, University of Pisa, I-56126 Pisa, Italy;
  • O'Hara TD; Museum Victoria, Melbourne, VIC 3001, Australia;
  • Plaisance L; National Museum of Natural History, Smithsonian Institution, Washington, DC 20013;
  • Poore GC; Museum Victoria, Melbourne, VIC 3001, Australia;
  • Sarkar SK; Department of Marine Science, University of Calcutta, Calcutta 700 019, India;
  • Satpathy KK; Environment and Safety Division, Indira Gandhi Centre for Atomic Research, Kalpakkam 603 102, India; and.
  • Schückel U; Marine Research Department, Senckenberg am Meer, 26382 Wilhelmshaven, Germany;
  • Williams A; Commonwealth Scientific and Industrial Research Organization, Marine and Atmospheric Research, Marine Laboratories, Hobart, TAS 7001, Australia.
  • Wilson RS; Museum Victoria, Melbourne, VIC 3001, Australia;
Proc Natl Acad Sci U S A ; 111(23): 8524-9, 2014 Jun 10.
Article en En | MEDLINE | ID: mdl-24912168
ABSTRACT
Explaining patterns of commonness and rarity is fundamental for understanding and managing biodiversity. Consequently, a key test of biodiversity theory has been how well ecological models reproduce empirical distributions of species abundances. However, ecological models with very different assumptions can predict similar species abundance distributions, whereas models with similar assumptions may generate very different predictions. This complicates inferring processes driving community structure from model fits to data. Here, we use an approximation that captures common features of "neutral" biodiversity models--which assume ecological equivalence of species--to test whether neutrality is consistent with patterns of commonness and rarity in the marine biosphere. We do this by analyzing 1,185 species abundance distributions from 14 marine ecosystems ranging from intertidal habitats to abyssal depths, and from the tropics to polar regions. Neutrality performs substantially worse than a classical nonneutral alternative empirical data consistently show greater heterogeneity of species abundances than expected under neutrality. Poor performance of neutral theory is driven by its consistent inability to capture the dominance of the communities' most-abundant species. Previous tests showing poor performance of a neutral model for a particular system often have been followed by controversy about whether an alternative formulation of neutral theory could explain the data after all. However, our approach focuses on common features of neutral models, revealing discrepancies with a broad range of empirical abundance distributions. These findings highlight the need for biodiversity theory in which ecological differences among species, such as niche differences and demographic trade-offs, play a central role.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Biodiversidad / Biología Marina / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Biodiversidad / Biología Marina / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Año: 2014 Tipo del documento: Article