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Cited by 295

The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.

African Cichlid Fishes: Model Systems for Evolutionary Biology

Kornfield, Irv, Smith, Peter F.·2000·Annual Review of Ecology and Systematics

Abstract

▪ Abstract Cichlid fishes (Perciformes: Teleostei) found in the lakes of Africa have served as model systems for the study of evolution. The enormous number of species (1000 in Lake Malawi alone), the great diversity of trophic adaptations and behaviors, and the extreme rapidity of their divergence (<50,000 y for some faunas) single out these organisms as examples of evolution in progress. Because these fishes are confined to discrete lacustrine environments and their origination is bounded by geological features, these groups provide models with which to study evolution. We review theoretical studies and empirical research on the cichlid faunas of Africa to provide a synthetic overview of current knowledge of the evolutionary processes at work in this group. This view provides the critical information needed to formulate and test hypotheses that may permit discrimination among the diverse theories and models that have been advanced to explain the evolution of these fishes.

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Crossref · 10.1146/annurev.ecolsys.31.1.163

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Metadata

Authors
Kornfield, I., & Smith, P. F.
Venue
Annual Review of Ecology and Systematics
Published
2000-11
Volume
31
Issue
1
Pages
163-196
ISSN
0066-4162 (ISSN-L)
OpenAlex
W2112678364
Cited by
295
References
100
FWCI
10.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: African Cichlid Fishes: Model Systems for Evolutionary Biology. https://app.cochat.ai/papers/10.1146/annurev.ecolsys.31.1.163
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Kornfield, I., & Smith, P. F. (2000). African Cichlid Fishes: Model Systems for Evolutionary Biology. Annual Review of Ecology and Systematics. https://doi.org/10.1146/annurev.ecolsys.31.1.163

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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.