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Ecological Modelling
Article
License: CC BY NC ND
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Ecological Modelling
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Carrying capacity – A capricious construct

Authors: Roger Cropp; J. Norbury;

Carrying capacity – A capricious construct

Abstract

Abstract The concept of a carrying capacity of an environment for a population has been an effective way of introducing a connection between populations and their environment. This approach has been particularly effective in heuristic Lotka–Volterra models of competition and predation that provide a basis for theoretical considerations of population interactions. However, the concept has proved less useful for interactions such as mutualism. The textbook Lotka–Volterra model of mutualism represents the interaction between two populations at the same trophic level that are each limited by the (negative) carrying capacities of the environment. The model predicts that obligate mutualist populations will either go extinct or become infinite. The classical fail diagram of obligate mutualist population interactions can be remedied by explicitly accounting for resources. The inclusion of explicit connections to the environment through resource representation and accounting for each population shows that the equivalent of the classic fail diagram is actually a sensible solution. A resource-based modelling framework saves the Lotka–Volterra model, allowing the classic population interactions of competition, predation and mutualism to be considered in a single unified framework.

Country
United Kingdom
Keywords

Population ecology, Ecology, Ecological economics, Environmental sociology

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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!
3
Average
Average
Average
Green
hybrid
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