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Cited by 388

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Universal scaling in tree and vascular plant allometry: toward a general quantitative theory linking plant form and function from cells to ecosystems

Open access
Enquist, B. J.·2002·Tree Physiology

Abstract

A general theory of allometric scaling that predicts how the proportions of vascular plants and the characteristics of plant communities change or scale with plant size is outlined. The theory rests, in part, on the assumptions of (1) minimal energy dissipation in the transport of fluid through space-filling, fractal-like, branching vascular networks; and (2) the absence of scaling with plant size in the anatomical and physiological attributes of leaves and xylem. The theory shows how the scaling of metabolism with plant size is central to the scaling of whole-plant form and function. It is shown how allometric constraints influence plant populations and, potentially, processes in plant evolution. Rapidly accumulating evidence in support of the general allometric model is reviewed and new evidence is presented. Current work supports the notion that scaling of how plants utilize space and resources is central to the development of a general synthetic and quantitative theory of plant form, function, ecology and diversity.

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Crossref · 10.1093/treephys/22.15-16.1045

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Metadata

Authors
Enquist, B. J.
Venue
Tree Physiology
Published
2002-11-01
Volume
22
Issue
15-16
Pages
1045-1064
ISSN
  • 0829-318X (ISSN-L)
  • 1758-4469
OpenAlex
W2138352681
Cited by
388
References
2
FWCI
9.20
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Universal scaling in tree and vascular plant allometry: toward a general quantitative theory linking plant form and function from cells to ecosystems. https://app.cochat.ai/papers/10.1093/treephys/22.15-16.1045
The paper
Enquist, B. J. (2002). Universal scaling in tree and vascular plant allometry: toward a general quantitative theory linking plant form and function from cells to ecosystems. Tree Physiology. https://doi.org/10.1093/treephys/22.15-16.1045

Data sources

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.