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dc.contributor.authorConnolly, Sean R.
dc.contributor.authorMacNeil, M. Aaron
dc.contributor.authorCaley, M. Julian
dc.contributor.authorKnowlton, Nancy
dc.contributor.authorCripps, Ed
dc.contributor.authorHisano, Mizue
dc.contributor.authorThibaut, Loïc M.
dc.contributor.authorBhattacharya, Bhaskar D.
dc.contributor.authorBenedetti-Cecchif, Lisandro
dc.contributor.authorBrainard, Russell E.
dc.contributor.authorBrandt, Angelika
dc.contributor.authorBulleri, Fabio
dc.contributor.authorEllingsen, Kari Elsa
dc.contributor.authorKaiser, Stefanie
dc.contributor.authorKröncke, Ingrid
dc.contributor.authorLinse, Katrin
dc.contributor.authorMaggi, Elena
dc.contributor.authorO'Hara, Timothy D.
dc.contributor.authorPlaisance, Laetitia
dc.contributor.authorPoore, Gary C.B.
dc.contributor.authorSarkar, Santosh K.
dc.contributor.authorSathpaty, Kamala K.
dc.contributor.authorSchückel, Ulrike
dc.contributor.authorWilliams, Alan
dc.contributor.authorWilson, Robin S.
dc.date.accessioned2014-06-03T11:49:23Z
dc.date.accessioned2016-07-14T13:01:31Z
dc.date.available2014-06-03T11:49:23Z
dc.date.available2016-07-14T13:01:31Z
dc.date.issued2014
dc.identifier.citationProceedings of the National Academy of Science of the United States of America 2014nb_NO
dc.identifier.issn0027-8424
dc.identifier.urihttp://hdl.handle.net/11250/2396546
dc.description.abstractContributed by Nancy Knowlton, April 28, 2014 (sent for review November 25, 2013; reviewed by Brian McGill and Fangliang He) 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. metacommunities | marine macroecology | species coexistence | Poisson-lognormal distributionnb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse-Ikkekommersiell-DelPåSammeVilkår 3.0 Norge*
dc.rightsNavngivelse-Ikkekommersiell-DelPåSammeVilkår 3.0 Norge*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/no/*
dc.subjectmetacommunitiesnb_NO
dc.subjectmarine macroecologynb_NO
dc.subjectspecies coexistencenb_NO
dc.subjectPoisson-lognormal distributionnb_NO
dc.titleCommonness and rarity in the marine biospherenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2014-06-03T11:49:24Z
dc.source.pagenumber8524-8529nb_NO
dc.source.volume111nb_NO
dc.source.journalProceedings of the National Academy of Science of the United States of Americanb_NO
dc.source.issue23nb_NO
dc.identifier.doi10.1073/pnas.1406664111/-/DCSupplemental.
dc.identifier.cristin1135944


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