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Oceanic island biogeography through the lens of the General Dynamic Model: assessment and prospect

Abstract:
The general dynamic model of oceanic island biogeography (GDM) has added a new dimension to theoretical island biogeography in recognizing that geological processes are key drivers of the evolutionary processes of diversification and extinction within remote islands. It provides a dynamic and essentially non-equilibrium framework generating novel predictions for emergent diversity properties of oceanic islands and archipelagos. Its publication in 2008 coincided with, and spurred on, renewed attention to the dynamics of remote islands. We review progress, both in testing the GDM’s predictions and in developing and enhancing ecologicalevolutionary understanding of oceanic island systems through the lens of the GDM. In particular, we focus on four main themes: (1) macroecological tests using a space-for-time rationale; (2) extensions of theory to islands following different patterns of ontogeny; (3) the implications of GDM dynamics for lineage diversification and trait evolution; and (4) the potential for downscaling GDM dynamics to local-scale ecological patterns and processes within islands. We also consider the implications of the GDM for understanding patterns of non-native species diversity. We demonstrate the vitality of the field of island biogeography by identifying a range of potentially productive lines for future research.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/brv.12256

Authors

More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Geography
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Geography
Role:
Author


More from this funder
Funding agency for:
Borregaard, M
Grant:
Sapere Aude Young Elite Researcher Grant


Publisher:
Wiley
Journal:
Biological Reviews More from this journal
Volume:
92
Issue:
2
Pages:
830–853
Publication date:
2016-02-29
DOI:
EISSN:
1469-185X
ISSN:
1464-7931


Keywords:
Pubs id:
pubs:598677
UUID:
uuid:02288960-a0ed-4c24-8f88-1a42aa1f3880
Local pid:
pubs:598677
Source identifiers:
598677
Deposit date:
2016-02-03
ARK identifier:

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