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Taking species abundance distributions beyond individuals

  • Hélène Morlon*
  • , Ethan P. White
  • , Rampal S. Etienne
  • , Jessica L. Green
  • , Annette Ostling
  • , David Alonso
  • , Brian J. Enquist
  • , Fangliang He
  • , Allen Hurlbert
  • , Anne E. Magurran
  • , Brian A. Maurer
  • , Brian J. McGill
  • , Han Olff
  • , David Storch
  • , Tommaso Zillio
  • *此作品的通讯作者
  • University of Oregon
  • Utah State University
  • University of Groningen
  • Santa Fe Institute
  • University of Michigan, Ann Arbor
  • University of Arizona
  • Conservation International
  • University of Alberta
  • University of North Carolina at Chapel Hill
  • University of St Andrews
  • Michigan State University
  • Charles University

科研成果: 期刊稿件文章同行评审

摘要

The species abundance distribution (SAD) is one of the few universal patterns in ecology. Research on this fundamental distribution has primarily focused on the study of numerical counts, irrespective of the traits of individuals. Here we show that considering a set of Generalized Species Abundance Distributions (GSADs) encompassing several abundance measures, such as numerical abundance, biomass and resource use, can provide novel insights into the structure of ecological communities and the forces that organize them. We use a taxonomically diverse combination of macroecological data sets to investigate the similarities and differences between GSADs. We then use probability theory to explore, under parsimonious assumptions, theoretical linkages among them. Our study suggests that examining different GSADs simultaneously in natural systems may help with assessing determinants of community structure. Broadening SADs to encompass multiple abundance measures opens novel perspectives in biodiversity research and warrants future empirical and theoretical developments.

源语言英语
页(从-至)488-501
页数14
期刊Ecology Letters
12
6
DOI
出版状态已出版 - 6月 2009
已对外发布

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