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Ecology Letters
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Taking species abundance distributions beyond individuals

Authors: Allen H. Hurlbert; Brian J. Enquist; Brian J. Enquist; Brian J. Enquist; Brian A. Maurer; Rampal S. Etienne; Rampal S. Etienne; +13 Authors

Taking species abundance distributions beyond individuals

Abstract

AbstractThe 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.

Country
United States
Keywords

Size Distribution, Ecology and Evolutionary Biology, Size–Density Relationship, DESERT RODENT COMMUNITY, BIOMASS, size-energy relationship, size distribution, individual distribution, Species Abundance Distribution, Biomass, Macroecology, resource partitioning, BODY-SIZE, Ecology, POPULATION-DENSITY, Biodiversity, macroecology, size-density relationship, Energy Use, body-size, Science, Size–Energy Relationship, Resource Partitioning, 612, DIVIDE RESOURCES, metabolic theory, Models, Biological, energy use, TEMPORAL DYNAMICS, Body-size, Animals, Biology, Demography, Analysis of Variance, biomass, Metabolic Theory, Species abundance, MAXIMUM-ENTROPY, MODEL, Species abundance distribution, Food, RELATIVE ABUNDANCE, PATTERNS

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    78
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
78
Top 10%
Top 10%
Top 10%
Green
bronze
Related to Research communities
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