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Cited by 255

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Positive interactions among competitors can produce species‐rich communities

Gross, Kevin·2008·Ecology Letters

Abstract

Although positive interactions between species are well documented, most ecological theory for investigating multispecies coexistence remains rooted in antagonistic interactions such as competition and predation. Standard resource‐competition models from this theory predict that the number of coexisting species should not exceed the number of factors that limit population growth. Here I show that positive interactions among resource competitors can produce species‐rich model communities supported by a single limiting resource. Simulations show that when resource competitors reduce each others’ per capita mortality rate (e.g. by ameliorating an abiotic stress), stable multispecies coexistence with a single resource may be common, even while the net interspecific interaction remains negative. These results demonstrate that positive interactions may provide an important mechanism for generating species‐rich communities in nature. They also show that focusing on the net interaction between species may conceal important coexistence mechanisms when species simultaneously engage in both antagonistic and positive interactions.

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Crossref · 10.1111/j.1461-0248.2008.01204.x

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Metadata

Authors
Gross, K.
Venue
Ecology Letters
Publisher
Wiley
Published
2008-08-06
Volume
11
Issue
9
Pages
929-936
ISSN
  • 1461-023X (ISSN-L)
  • 1461-0248
OpenAlex
W2098988996
Cited by
255
References
42
FWCI
14.52
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Positive interactions among competitors can produce species‐rich communities. https://app.cochat.ai/papers/10.1111/j.1461-0248.2008.01204.x
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Gross, K. (2008). Positive interactions among competitors can produce species‐rich communities. Ecology Letters. https://doi.org/10.1111/j.1461-0248.2008.01204.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.