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Trends in Ecology & Evolution
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
UQ eSpace
Article . 2011
Data sources: UQ eSpace
UQ eSpace
Article . 2011
Data sources: UQ eSpace
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Hypothesis testing in biogeography

Authors: Crisp, MD; Trewick, SA; Cook, LG;

Hypothesis testing in biogeography

Abstract

Often, biogeography is applied only as a narrative addition to phylogenetic studies and lacks scientific rigour. However, if research questions are framed as hypotheses, biogeographical scenarios become testable. In this review, we explain some problems with narrative biogeography and show how the use of explicit hypotheses is changing understanding of how organisms came to be distributed as they are. Developing synergies between biogeography, ecology, molecular dating and palaeontology are providing novel data and hypothesis-testing opportunities. New approaches are challenging the classic 'Gondwana' paradigm and a more complicated history of the Southern Hemisphere is emerging, involving not only general drivers such as continental drift and niche conservatism, but also drowning and re-emergence of landmasses, biotic turnover and long-distance colonization.

Country
Australia
Keywords

demography, Evolution, short survey, phylogeography, phylogeny, Southern-hemisphere, Historical biogeography, 1105 Ecology, Keywords: continental drift, Behavior and Systematics, synergism, hypothesis testing, Ecosystem, Phylogeny, Demography, ecosystem, Gondwana, fossil, Fossils, paleobiogeography, methodology, phylogenetics, Phylogeography, 1105 Ecology, Evolution, Behavior and Systematics, Long-distance dispersal, Southern Hemisphere, paleontology, New Zealand

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    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    288
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
288
Top 1%
Top 1%
Top 1%
Green