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Cited by 1,051

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Long-Distance Dispersal of Plants

Nathan, Ran·2006·Science

Abstract

Long-distance dispersal (LDD) of plants poses challenges to research because it involves rare events driven by complex and highly stochastic processes. The current surge of renewed interest in LDD, motivated by growing recognition of its critical importance for natural populations and communities and for humanity, promises an improved, quantitatively derived understanding of LDD. To gain deep insights into the patterns, mechanisms, causes, and consequences of LDD, we must look beyond the standard dispersal vectors and the mean trend of the distribution of dispersal distances. “Nonstandard” mechanisms such as extreme climatic events and generalized LDD vectors seem to hold the greatest explanatory power for the drastic deviations from the mean trend, deviations that make the nearly impossible LDD a reality.

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Metadata

Authors
Nathan, R.
Venue
Science
Published
2006-08-11
Volume
313
Issue
5788
Pages
786-788
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1982662500
Cited by
1,051
References
28
FWCI
36.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Long-Distance Dispersal of Plants. https://app.cochat.ai/papers/10.1126/science.1124975
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Nathan, R. (2006). Long-Distance Dispersal of Plants. Science. https://doi.org/10.1126/science.1124975

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.