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Cited by 556

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Self-organized similarity, the evolutionary emergence of groups of similar species

Open access
Scheffer, Marten, van Nes, Egbert H.·2006·Proceedings of the National Academy of Sciences

Abstract

Ecologists have long been puzzled by the fact that there are so many similar species in nature. Here we show that self-organized clusters of look-a-likes may emerge spontaneously from coevolution of competitors. The explanation is that there are two alternative ways to survive together: being sufficiently different or being sufficiently similar. Using a model based on classical competition theory, we demonstrate a tendency for evolutionary emergence of regularly spaced lumps of similar species along a niche axis. Indeed, such lumpy patterns are commonly observed in size distributions of organisms ranging from algae, zooplankton, and beetles to birds and mammals, and could not be well explained by earlier theory. Our results suggest that these patterns may represent self-constructed niches emerging from competitive interactions. A corollary of our findings is that, whereas in species-poor communities sympatric speciation and invasion of open niches is possible, species-saturated communities may be characterized by convergent evolution and invasion by look-a-likes.

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Crossref · 10.1073/pnas.0508024103

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Metadata

Authors
Scheffer, M., & van Nes, E. H.
Venue
Proceedings of the National Academy of Sciences
Published
2006-04-18
Volume
103
Issue
16
Pages
6230-6235
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2142785933
Cited by
556
References
3
FWCI
13.61
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Self-organized similarity, the evolutionary emergence of groups of similar species. https://app.cochat.ai/papers/10.1073/pnas.0508024103
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Scheffer, M., & van Nes, E. H. (2006). Self-organized similarity, the evolutionary emergence of groups of similar species. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0508024103

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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.