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Cited by 451

The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.

Global change and terrestrial plant community dynamics

Open access
Franklin, Janet, Serra-Diaz, Josep M., Syphard, Alexandra D., Regan, Helen M.·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: Global terrestrial vegetation plays a critical role in biogeochemical cycles and provides important ecosystem services. Vegetation has been altered by anthropogenic global change drivers including land-use change, altered disturbance regimes, invasive species, and climate change, for decades to centuries, or in some cases millennia. Vegetation responses to land use and disturbance can be more immediate than to climate change and can be long lasting. The effect of global warming on water balance may have a stronger influence than the direct effects of temperature on vegetation. Models deployed at multiple ecological scales, populations, communities, and landscapes will be required to forecast vegetation responses and feedbacks to accelerated global change.

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Registry

Crossref · 10.1073/pnas.1519911113

Cites

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Metadata

Authors
Franklin, J., Serra-Diaz, J. M., Syphard, A. D., & Regan, H. M.
Venue
Proceedings of the National Academy of Sciences
Published
2016-02-29
Volume
113
Issue
14
Pages
3725-3734
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2290611432
Cited by
451
References
144
FWCI
32.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Global change and terrestrial plant community dynamics. https://app.cochat.ai/papers/10.1073/pnas.1519911113
The paper
Franklin, J., Serra-Diaz, J. M., Syphard, A. D., & Regan, H. M. (2016). Global change and terrestrial plant community dynamics. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1519911113

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.