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Cited by 534

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AN ARCHITECTURAL APPROACH TO THE COMPARATIVE ECOLOGY OF PLANT ROOT SYSTEMS

FITTER, A. H.·1987·New Phytologist

Abstract

Summary: Although plants devote a large proportion of their resources to roots, we have a poor understanding of the constraints under which root systems function. Roots are much less variable morphologically than leaves and it is likely that root systems rather than individual roots are the focus of natural selection. In other words, architecture is more important than morphology. Existing classifications of root systems, based on the developmental model, have failed to provide much insight into their functioning and an alternative, topological model is outlined, in which the link is the basic unit of classification. Other components of the architecture of root systems, including link lengths, branching angles and diameters, are considered and the ecological implications of variation in each is discussed. Simulation models of transport and space exploration are discussed and it is shown that resource cost, transport efficiency and exploration efficiency cannot be simultaneously minimized and that optimum form may vary with the mobility of the resource. In general, a ‘herringbone’ structure seems to be the most efficient at exploration of space but the least transport‐efficient and the most expensive.

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Metadata

Authors
FITTER, A. H.
Venue
New Phytologist
Publisher
Wiley
Published
1987-05
Volume
106
Issue
s1
Pages
61-77
ISSN
  • 0028-646X (ISSN-L)
  • 1469-8137
OpenAlex
W2167896138
Cited by
534
References
0
FWCI
19.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: AN ARCHITECTURAL APPROACH TO THE COMPARATIVE ECOLOGY OF PLANT ROOT SYSTEMS. https://app.cochat.ai/papers/10.1111/j.1469-8137.1987.tb04683.x
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FITTER, A. H. (1987). AN ARCHITECTURAL APPROACH TO THE COMPARATIVE ECOLOGY OF PLANT ROOT SYSTEMS. New Phytologist. https://doi.org/10.1111/j.1469-8137.1987.tb04683.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.