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Exploring the population genetic consequences of the colonization process with spatio-temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppers

dc.contributor.authorLacey Knowles, L.en_US
dc.contributor.authorAlvarado-Serrano, Diego F.en_US
dc.date.accessioned2011-01-31T17:52:47Z
dc.date.available2011-11-01T15:13:01Zen_US
dc.date.issued2010-09en_US
dc.identifier.citationLacey Knowles, L.; Alvarado-Serrano, Diego F.; (2010). "Exploring the population genetic consequences of the colonization process with spatio-temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppers." Molecular Ecology 19(17 SPECIAL ISSUE ON LANDSCAPE GENETICS ): 3727-3745. <http://hdl.handle.net/2027.42/79315>en_US
dc.identifier.issn0962-1083en_US
dc.identifier.issn1365-294Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/79315
dc.description.abstractUnderstanding the genetic consequences of shifting species distributions is critical for evaluating the impact of climate-induced distributional changes. However, the demographic expansion associated with the colonization process typically takes place across a heterogeneous environment, with population sizes and migration rates varying across the landscape. Here we describe an approach for coupling ecological-niche models (ENMs) with demographic and genetic models to explore the genetic consequences of distributional shifts across a heterogeneous landscape. Analyses of a flightless grasshopper from the sky islands of the Rocky Mountains of North America are used to show how biologically informed predictions can be generated about the genetic consequences of a colonization process across a spatially and temporally heterogeneous landscape (i.e. the suitability of habitats for the montane species differs across the landscape and is itself not static, with the displacement of contemporary populations into glacial refugia). By using (i) ENMs for current climatic conditions and the last glacial maximum to (ii) parameterize a demographic model of the colonization process, which then (iii) informs coalescent simulations, a set of models can be generated that capture different processes associated with distributional shifts. We discuss how the proposed approach for model generation can be integrated into a statistical framework for estimating key demographic parameters and testing hypotheses about the conditions for which distributional shifts may (or may not) enhance species divergence, including the importance of habitat stability, past gene-flow among currently isolated populations, and maintenance of refugial populations in multiple geographic regions.en_US
dc.format.extent68720 bytes
dc.format.extent2702686 bytes
dc.format.extent3106 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.subject.otherCoalescent Simulationsen_US
dc.subject.otherGlacial Cyclesen_US
dc.subject.otherPhylogeographyen_US
dc.subject.otherPleistoceneen_US
dc.subject.otherRefugiaen_US
dc.subject.otherSpeciationen_US
dc.titleExploring the population genetic consequences of the colonization process with spatio-temporally explicit models: insights from coupled ecological, demographic and genetic models in montane grasshoppersen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.identifier.pmid20723059en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/79315/1/MEC_4702_sm_Supplemental-Tables.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/79315/2/j.1365-294X.2010.04702.x.pdf
dc.identifier.doi10.1111/j.1365-294X.2010.04702.xen_US
dc.identifier.sourceMolecular Ecologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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