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Cited by 2,193

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Assembly and response rules: two goals for predictive community ecology

Open access
Keddy, Paul A.·1992·Journal of Vegetation Science

Abstract

Abstract. Assembly rules provide one possible unifying framework for community ecology. Given a species pool, and measured traits for each species, the objective is to specify which traits (and therefore which subset of species) will occur in a particular environment. Because the problem primarily involves traits and environments, answers should be generalizable to systems with very different taxonomic composition. In this context, the environment functions like a filter (or sieve) removing all species lacking specified combinations of traits. In this way, assembly rules are a community level analogue of natural selection. Response rules follow a similar process except that they transform a vector of species abundances to a new vector using the same information. Examples already exist from a range of habitats, scales, and kinds of organisms.

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Metadata

Authors
Keddy, P. A.
Venue
Journal of Vegetation Science
Publisher
Wiley
Published
1992-04
Volume
3
Issue
2
Pages
157-164
ISSN
  • 1100-9233 (ISSN-L)
  • 1654-1103
OpenAlex
W2157701121
Cited by
2,193
References
1
FWCI
12.26
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Assembly and response rules: two goals for predictive community ecology. https://app.cochat.ai/papers/10.2307/3235676
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Keddy, P. A. (1992). Assembly and response rules: two goals for predictive community ecology. Journal of Vegetation Science. https://doi.org/10.2307/3235676

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.