Local niche differences predict genotype associations in sister taxa of desert tortoise
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Inman_et_al-2019-Diversity_and ...
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Author
Inman, RichardFotheringham, A. Stewart
Franklin, Janet
Esque, Todd
Edwards, Taylor
Nussear, Kenneth
Affiliation
Univ Arizona, Univ Arizona Genet CoreIssue Date
2019-08Keywords
conservation geneticsdesert tortoise
ecological niche
multiscale geographically weighted regression
species distribution modelling
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WILEYCitation
Inman, R., Fotheringham, A. S., Franklin, J., Esque, T., Edwards, T., & Nussear, K. (2019). Local niche differences predict genotype associations in sister taxa of desert tortoise. Diversity and Distributions.Journal
DIVERSITY AND DISTRIBUTIONSRights
© 2019 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Aims: To investigate spatial congruence between ecological niches and genotype in two allopatric species of desert tortoise that are species of conservation concern. Location: Mojave and Sonoran Desert ecoregions; California, Nevada, Arizona, Utah, USA. Methods: We compare ecological niches of Gopherus agassizii and Gopherus morafkai using species distribution modelling (SDM) and then calibrate a pooled-taxa distribution model to explore local differences in species-environment relationships based on the spatial residuals of the pooled-taxa model. We use multiscale geographically weighted regression (MGWR) applied to those residuals to estimate local species-environment relationships that can vary across the landscape. We identify multivariate clusters in these local species-environment relationships and compare them against models of (a) a geographically based taxonomic designation for two sister species and (b) an environmental ecoregion designation, with respect to their ability to predict a genotype association index for these two species. Results: We find non-identical niches for these species, with differences that span physiographic and vegetation niche dimensions. We find evidence for two distinct clusters of local species-environment relationships that when mapped, predict an index of genotype association for the two sister taxa better than did either the geographically based taxonomic designation or an environmental ecoregion designation. Main conclusions: Exploring local species-environment relationships by coupling SDM and MGWR can benefit studies of biogeography and conservation. We find that niche separation in habitat selection conforms to genotypic differences between sister taxa of tortoise in a recent secondary contact zone. This result may inform decision making by agencies with regulatory or land management authority for the two sister taxa addressed here.Note
Open access articleISSN
1366-9516EISSN
1472-4642Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1111/ddi.12927
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Except where otherwise noted, this item's license is described as © 2019 The Authors. Diversity and Distributions published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License.

