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Cited by 311

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

Volatile communication between plants that affects herbivory: a meta‐analysis

Open access
Karban, Richard, Yang, Louie H., Edwards, Kyle F.·2014·Ecology Letters

Abstract

Volatile communication between plants causing enhanced defence has been controversial. Early studies were not replicated, and influential reviews questioned the validity of the phenomenon. We collected 48 well‐replicated studies and found overall support for the hypothesis that resistance increased for individuals with damaged neighbours. Laboratory or greenhouse studies and those conducted on agricultural crops showed stronger induced resistance than field studies on undomesticated species, presumably because other variation had been reduced. A cumulative analysis revealed that early, non‐replicated studies were more variable and showed less evidence for communication. Effects of habitat and plant growth form were undetectable. In most cases, the mechanisms of resistance and alternative hypotheses were not considered. There was no indication that some response variables were more likely to produce large effects. These results indicate that plants of diverse taxonomic affinities and ecological conditions become more resistant to herbivores when exposed to volatiles from damaged neighbours.

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Metadata

Authors
Karban, R., Yang, L. H., & Edwards, K. F.
Venue
Ecology Letters
Publisher
Wiley
Published
2013-10-27
Volume
17
Issue
1
Pages
44-52
ISSN
  • 1461-023X (ISSN-L)
  • 1461-0248
OpenAlex
W2126091912
Cited by
311
References
3
FWCI
13.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Volatile communication between plants that affects herbivory: a meta‐analysis. https://app.cochat.ai/papers/10.1111/ele.12205
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Karban, R., Yang, L. H., & Edwards, K. F. (2014). Volatile communication between plants that affects herbivory: a meta‐analysis. Ecology Letters. https://doi.org/10.1111/ele.12205

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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