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Cited by 557

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The importance of long‐distance dispersal in biodiversity conservation

Open access
Trakhtenbrot, Ana, Nathan, Ran, Perry, Gad, Richardson, David M.·2005·Diversity and Distributions

Abstract

Dispersal is universally considered important for biodiversity conservation. However, the significance of long‐ as opposed to short‐distance dispersal is insufficiently recognized in the conservation context. Long‐distance dispersal (LDD) events, although typically rare, are crucial to population spread and to maintenance of genetic connectivity. The main threats to global biodiversity involve excessive LDD of elements alien to ecosystems and insufficient dispersal of native species, for example, because of habitat fragmentation. In this paper, we attempt to bridge the gap in the treatment of LDD by reviewing the conservation issues for which LDD is most important. We then demonstrate how taking LDD into consideration can improve conservation management decisions.

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Crossref · 10.1111/j.1366-9516.2005.00156.x

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Metadata

Authors
Trakhtenbrot, A., Nathan, R., Perry, G., & Richardson, D. M.
Venue
Diversity and Distributions
Publisher
Wiley
Published
2005-03
Volume
11
Issue
2
Pages
173-181
ISSN
  • 0967-9952 (ISSN-L)
  • 1366-9516
  • 1472-4642
OpenAlex
W2158153473
Cited by
557
References
1
FWCI
19.89
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The importance of long‐distance dispersal in biodiversity conservation. https://app.cochat.ai/papers/10.1111/j.1366-9516.2005.00156.x
The paper
Trakhtenbrot, A., Nathan, R., Perry, G., & Richardson, D. M. (2005). The importance of long‐distance dispersal in biodiversity conservation. Diversity and Distributions. https://doi.org/10.1111/j.1366-9516.2005.00156.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.