Scinovex
review Open AccessTop 1% cited

Species abundance distributions: moving beyond single prediction theories to integration within an ecological framework

Ecology Letters · 2007 · Vol. 10(10) · pp. 995–1015
Brian J. McGillRampal S. EtienneJohn S. GrayDavid AlonsoMarti J. AndersonHabtamu BenechaMaría DornelasBrian J. EnquistJessica L. GreenFangliang HeAllen H. HurlbertAnne E. MagurranPablo A. MarquetBrian A. MaurerAnnette OstlingCandan U. SoykanKarl Inne UglandEthan P. White

Abstract

Species abundance distributions (SADs) follow one of ecology's oldest and most universal laws--every community shows a hollow curve or hyperbolic shape on a histogram with many rare species and just a few common species. Here, we review theoretical, empirical and statistical developments in the study of SADs. Several key points emerge. (i) Literally dozens of models have been proposed to explain the hollow curve. Unfortunately, very few models are ever rejected, primarily because few theories make any predictions beyond the hollow-curve SAD itself. (ii) Interesting work has been performed both empirically and theoretically, which goes beyond the hollow-curve prediction to provide a rich variety of information about how SADs behave. These include the study of SADs along environmental gradients and theories that integrate SADs with other biodiversity patterns. Central to this body of work is an effort to move beyond treating the SAD in isolation and to integrate the SAD into its ecological context to enable making many predictions. (iii) Moving forward will entail understanding how sampling and scale affect SADs and developing statistical tools for describing and comparing SADs. We are optimistic that SADs can provide significant insights into basic and applied ecological science.

Species Distribution and Climate ChangeEcology and Vegetation Dynamics StudiesWildlife Ecology and ConservationEcologyRelative abundance distributionContext (archaeology)Abundance (ecology)CommunityRelative species abundanceBiodiversityStatistical physicsData scienceComputer science

MeSH terms

AnimalsEcologyModels, TheoreticalBiodiversity
Citations
1,542
FWCI
76.21
field-weighted impact
References
197
Percentile
100%
vs. same field & year
Citations per year
Cited by
Scientists' warning to humanity on insect extinctions
Biological Conservation · 2020 · 807 citations
Embracing the unknown: disentangling the complexities of the soil microbiome
Nature Reviews Microbiology · 2017 · 3,256 citations
Beyond the Venn diagram: the hunt for a core microbiome
Environmental Microbiology · 2011 · 1,247 citations
References
The Statistics and Biology of the Species-Area Relationship
The American Naturalist · 1979 · 2,319 citations
The Commonness, And Rarity, of Species
Ecology · 1948 · 1,993 citations
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Journal of Wildlife Management · 2003 · 42,134 citations
Abundance–occupancy relationships
Journal of Applied Ecology · 2000 · 898 citations
ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS
Biometrika · 1955 · 2,474 citations
Marine Benthic Diversity: A Comparative Study
The American Naturalist · 1968 · 2,434 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.