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The Community Matrix and Interdependence of the Competition Coefficients

Authors: William E. Neill;

The Community Matrix and Interdependence of the Competition Coefficients

Abstract

In response to recent elaborations of the community matrix concept, I argue that nonlinear (higher-order) interactions between species are probably very important in many competitive relationships. Several competition coefficients calculated from populations of microcrustaceans in equilibrium microcosm communities change significantly with changes induced in the species composition of the remainder of the community. Because of interdependence among first-order competition coefficients, interpretation of community perturbation experiments becomes exceptionally difficult and subsequent calculations based on an α matrix to predict the number of species expected in the community are inappropriate to the assumptions of the model.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
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!
75
Top 10%
Top 10%
Average
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