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Cited by 535

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Indices of plant competition

Weigelt, Alexandra, Jolliffe, Peter·2003·Journal of Ecology

Abstract

1 Mathematical indices, formed by combining several primary measures, can help researchers summarize, interpret and display results from plant competition experiments. This essay compiles and discusses more than 50 indices that have been used in studies of plant competition. 2 Indices allow researchers to quantify and express several attributes of plant competition, including competition intensity and importance, competitive effects and responses, and the outcome of competition. 3 Several qualities should be considered when selecting a competition index for use. These include specificity and clarity of meaning, mathematical and statistical properties, density dependence, versatility and freedom from size bias. 4 Many indices are based on comparisons of plant performance in mixtures compared with pure stands or control plots. Additional measures of competition are also available from yield-density functions, size distributions and neighbourhood analysis. 5 Indices reflect the consequences of competition. In order to appreciate competitive processes, indices have to be used in conjunction with studies of the chronology, circumstances and composition of plant associations.

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Crossref · 10.1046/j.1365-2745.2003.00805.x

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Metadata

Authors
Weigelt, A., & Jolliffe, P.
Venue
Journal of Ecology
Publisher
Wiley
Published
2003-09-19
Volume
91
Issue
5
Pages
707-720
ISSN
  • 0022-0477 (ISSN-L)
  • 1365-2745
OpenAlex
W2120827042
Cited by
535
References
4
FWCI
10.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Indices of plant competition. https://app.cochat.ai/papers/10.1046/j.1365-2745.2003.00805.x
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Weigelt, A., & Jolliffe, P. (2003). Indices of plant competition. Journal of Ecology. https://doi.org/10.1046/j.1365-2745.2003.00805.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.