Citation

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

Brian J. McGill, Rampal S. Etienne, John S. Gray, David Alonso, Marti J. Anderson, Haber K. Benecha, Maria Dornelas, Brian J. Enquist, Jessica L. Green, Fangliang He, Allen H. Hurlbert, Anne E. Magurran, Pablo A. Marquet, Brian A. Maurer, Annette Ostling, Candan U. Soykan, Karl I. Ugland, Ethan P. White

Ecology Letters (2007)

TL;DR

Multiple distributions describe species abundances

Comprehensive review of species abundance distribution theories, discussing when power law, log-series, and log-normal distributions apply to ecological communities.

Demonstrates that multiple distributional forms can describe ecological inequality depending on scale, taxon, and community characteristics - important nuance for applying biological analogies to organizational contexts.

Key Findings from McGill et al. (2007)

Multiple distributions describe species abundances
Distribution form varies by community and scale
No single theory explains all patterns
Integration across frameworks needed

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

Key Findings from McGill et al. (2007)

Related Mechanisms for Species abundance distributions: Moving beyond single prediction theories to integration within an ecological framework

Related Organisms for Species abundance distributions: Moving beyond single prediction theories to integration within an ecological framework

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