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Cited by 158

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

A taxonomic wish–list for community ecology

Open access
Gotelli, Nicholas J.·2004·Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences

Abstract

Community ecology seeks to explain the number and relative abundance of coexisting species. Four research frontiers in community ecology are closely tied to research in systematics and taxonomy: the statistics of species richness estimators, global patterns of biodiversity, the influence of global climate change on community structure, and phylogenetic influences on community structure. The most pressing needs for taxonomic information in community ecology research are usable taxonomic keys, current nomenclature, species occurrence records and resolved phylogenies. These products can best be obtained from Internet–based phylogenetic and taxonomic resources, but the lack of trained professional systematists and taxonomists threatens this effort. Community ecologists will benefit most directly from research in systematics and taxonomy by making better use of resources in museums and herbaria, and by actively seeking training, information and collaborations with taxonomic specialists.

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Metadata

Authors
Gotelli, N. J.
Venue
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences
Published
2004-04-29
Volume
359
Issue
1444
Pages
585-597
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2112537674
Cited by
158
References
5
FWCI
6.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A taxonomic wish–list for community ecology. https://app.cochat.ai/papers/10.1098/rstb.2003.1443
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Gotelli, N. J. (2004). A taxonomic wish–list for community ecology. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences. https://doi.org/10.1098/rstb.2003.1443

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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.