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ZENODO
Dataset . 2018
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2018
License: CC 0
Data sources: Datacite
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Data from: Using molecular phylogenies in island biogeography: it’s about time

Authors: Valente, Luis; Phillimore, Albert B.; Etienne, Rampal S.;

Data from: Using molecular phylogenies in island biogeography: it’s about time

Abstract

Island biogeography aims at inferring the processes that govern the assembly of communities in space and time. Molecular phylogenies can tell us about the timings of island colonisations and diversification, but have rarely been used for the estimation of colonisation, speciation and extinction rates on islands. In this study we illustrate the effects of including phylogenetic information with the Galápagos avifauna. We find that by including colonisation times we obtain much more precise and accurate parameter estimates than if we rely solely on species richness and endemicity status. Inclusion of branching times improves estimates even further. As molecular phylogenies become increasingly available, we urge biogeographers to start using more of the information they contain.

G1_GalapagosData on native resident Galápagos terrestrial birds, G1 format, only richness + island ageG2_GalapagosData on native resident Galápagos terrestrial birds, G2 format, richness + island age + colonisation timesG3_GalapagosData on native resident Galápagos terrestrial birds, G3 format, richness + island age + colonisation times + branching timesG1_sims_4MyrSimulations, G1 format, 3000 replicates, 4 million yearsG1_sims_10MyrSimulations, G1 format, 3000 replicates, 10 million yearsG2_sims_4MyrSimulations, G2 format, 3000 replicates, 4 million yearsG2_sims_10MyrSimulations, G2 format, 3000 replicates, 10 million yearsG3_sims_4MyrSimulations, G3 format, 3000 replicates, 4 million yearsG3_sims_10MyrSimulations, G3 format, 3000 replicates, 10 million years

Keywords

Island Biogeography

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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.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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