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: (i) macroecological tests using a space-for-time rationale; (ii) extensions of theory to islands following different patterns of ontogeny; (iii) the implications of GDM dynamics for lineage diversification and trait evolution; and (iv) 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.
Описание
Oceanic island biogeography through the lens of the general dynamic model: assessment and prospect - Borregaard - 2016 - Biological Reviews - Wiley Online Library
%0 Journal Article
%1 BRV:BRV12256
%A Borregaard, Michael K.
%A Amorim, Isabel R.
%A Borges, Paulo A. V.
%A Cabral, Juliano S.
%A Fernández-Palacios, José M.
%A Field, Richard
%A Heaney, Lawrence R.
%A Kreft, Holger
%A Matthews, Thomas J.
%A Olesen, Jens M.
%A Price, Jonathan
%A Rigal, Francois
%A Steinbauer, Manuel J.
%A Triantis, Konstantinos A.
%A Valente, Luis
%A Weigelt, Patrick
%A Whittaker, Robert J.
%D 2017
%I Blackwell Publishing Ltd
%J Biological Reviews
%K ecomod islandbiogeo julianosarmentocabral myown
%P 830-853
%R 10.1111/brv.12256
%T Oceanic island biogeography through the lens of the general dynamic model: assessment and prospect
%U http://dx.doi.org/10.1111/brv.12256
%V 92
%X 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: (i) macroecological tests using a space-for-time rationale; (ii) extensions of theory to islands following different patterns of ontogeny; (iii) the implications of GDM dynamics for lineage diversification and trait evolution; and (iv) 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.
@article{BRV:BRV12256,
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: (i) macroecological tests using a space-for-time rationale; (ii) extensions of theory to islands following different patterns of ontogeny; (iii) the implications of GDM dynamics for lineage diversification and trait evolution; and (iv) 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.},
added-at = {2017-05-31T11:38:03.000+0200},
author = {Borregaard, Michael K. and Amorim, Isabel R. and Borges, Paulo A. V. and Cabral, Juliano S. and Fernández-Palacios, José M. and Field, Richard and Heaney, Lawrence R. and Kreft, Holger and Matthews, Thomas J. and Olesen, Jens M. and Price, Jonathan and Rigal, Francois and Steinbauer, Manuel J. and Triantis, Konstantinos A. and Valente, Luis and Weigelt, Patrick and Whittaker, Robert J.},
biburl = {https://www.bibsonomy.org/bibtex/2c47417e0307b60c9fc8e3723dffd3a19/jscabral},
description = {Oceanic island biogeography through the lens of the general dynamic model: assessment and prospect - Borregaard - 2016 - Biological Reviews - Wiley Online Library},
doi = {10.1111/brv.12256},
interhash = {b49ac35d1474ea3c3364ac7f4a4a8887},
intrahash = {c47417e0307b60c9fc8e3723dffd3a19},
issn = {1469-185X},
journal = {Biological Reviews},
keywords = {ecomod islandbiogeo julianosarmentocabral myown},
pages = {830-853},
publisher = {Blackwell Publishing Ltd},
timestamp = {2017-06-12T16:12:03.000+0200},
title = {Oceanic island biogeography through the lens of the general dynamic model: assessment and prospect},
url = {http://dx.doi.org/10.1111/brv.12256},
volume = 92,
year = 2017
}