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Cited by 271

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

A call for a new paradigm of island biogeography

Lomolino, MarK. V.·2000·Global Ecology and Biogeography
DOI 10.1046/j.1365-2699.2000.00185.x
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Abstract

MacArthur and Wilson’s equilibrium theory of island biogeography quickly became the paradigm of the field in the 1960s and has strongly influenced this and other disciplines of ecology and conservation biology for the past three decades. Recently, however, a growing number of ecologists have begun to question whether the theory remains a useful paradigm for modern ecology. We now have a much better appreciation for the complexity of nature and we study patterns that span a very broad range in spatial, temporal and ecological scales. At such scales, assumptions that communities are in equilibrium, that species, islands and intervening landscapes or seascapes are equivalent or homogeneous with respect to factors influencing immigration and extinction, and that in situ speciation can be overlooked become very tenuous. With this in mind, this and other papers of this special feature discuss the principal, conceptual shortcomings of the equilibrium theory and offer some modifications or alternatives to the theory that we hope will eventually lead to a more comprehensive understanding of the forces structuring insular communities.

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Metadata

Authors
Lomolino, M. V.
Venue
Global Ecology and Biogeography
Publisher
Wiley
Published
2000-01
Volume
9
Issue
1
Pages
1-6
ISSN
  • 1466-822X (ISSN-L)
  • 1466-8238
DOI
10.1046/j.1365-2699.2000.00185.x
OpenAlex
W1982845757
Cited by
271
References
16
FWCI
16.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A call for a new paradigm of island biogeography. https://app.cochat.ai/papers/10.1046/j.1365-2699.2000.00185.x
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Lomolino, M. V. (2000). A call for a new paradigm of island biogeography. Global Ecology and Biogeography. https://doi.org/10.1046/j.1365-2699.2000.00185.x

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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).

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