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Cited by 265

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

The Complexity of Factors Driving Volatile Organic Compound Emissions by Plants

Open access
Peñuelas, J., Llusià, J.·2001·Biologia plantarum

Abstract

The emissions of volatile organic compounds, VOC, from plants have strong relevance for plant physiology, plant ecology, and atmospheric chemistry. We report here on the current knowledge of the many internal (genetic and biochemical) and external (abiotic - temperature, light, water availability, wind, ozone, and biotic - animal, plant and microorganisms interactions) factors that control emission rates of different VOC by altering their synthesis, vapour pressure or diffusion to the atmosphere. The complex net of these factors, their interactions and the different responses of the different VOC produces the large qualitative and quantitative, spatial and temporal variability of emissions and the frequent deviations from current standard emission models. The need for a co-operative multidisciplinary multiscale research to disentangle this complex and important issue of plant VOC emissions is reminded.

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Crossref · 10.1023/a:1013797129428

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Metadata

Authors
Peñuelas, J., & Llusià, J.
Venue
Biologia plantarum
Published
2001-12-01
Volume
44
Issue
4
Pages
481-487
ISSN
  • 0006-3134 (ISSN-L)
  • 1573-8264
OpenAlex
W175696365
Cited by
265
References
41
FWCI
2.28
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Complexity of Factors Driving Volatile Organic Compound Emissions by Plants. https://app.cochat.ai/papers/10.1023/a:1013797129428
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Peñuelas, J., & Llusià, J. (2001). The Complexity of Factors Driving Volatile Organic Compound Emissions by Plants. Biologia plantarum. https://doi.org/10.1023/a%3A1013797129428

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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.