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Cited by 602

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Long-Term Studies of Vegetation Dynamics

Rees, Mark, Condit, Rick, Crawley, Mick, Pacala, Steve, Tilman, Dave·2001·Science

Abstract

By integrating a wide range of experimental, comparative, and theoretical approaches, ecologists are starting to gain a detailed understanding of the long-term dynamics of vegetation. We explore how patterns of variation in demographic traits among species have provided insight into the processes that structure plant communities. We find a common set of mechanisms, derived from ecological and evolutionary principles, that underlie the main forces shaping systems as diverse as annual plant communities and tropical forests. Trait variation between species maintains diversity and has important implications for ecosystem processes. Hence, greater understanding of how Earth's vegetation functions will likely require integration of ecosystem science with ideas from plant evolutionary, population, and community ecology.

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Crossref · 10.1126/science.1062586

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Metadata

Authors
Rees, M., Condit, R., Crawley, M., Pacala, S., & Tilman, D.
Venue
Science
Published
2001-07-27
Volume
293
Issue
5530
Pages
650-655
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2165634723
Cited by
602
References
5
FWCI
20.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Long-Term Studies of Vegetation Dynamics. https://app.cochat.ai/papers/10.1126/science.1062586
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Rees, M., Condit, R., Crawley, M., Pacala, S., & Tilman, D. (2001). Long-Term Studies of Vegetation Dynamics. Science. https://doi.org/10.1126/science.1062586

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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.