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Environmental Explanatory Variables

Dates

Publication Date
Creation
2018-11-21

Citation

Inman, R.D., and Esque, T.C., 2019, Local ecological niche models, genotype associations and environmental data for desert tortoises: U.S. Geological Survey data release, https://doi.org/10.5066/P91V2S8C.

Summary

This dataset provides the environmental explanatory variables used to explore spatial patterns in species-environment relationships in Gopherus agassizii and Gopherus morafkai across the subregion encompassing the genetic sampling locations used by Edwards et al. (2015). This region offered an opportunity to explore habitat selection across the ecotone between the Mojave and Sonoran deserts and the secondary contact zone between G. agassizii and G. morafkai, and is referred to as the focal study area. The raster layers contained here accompany the manuscript Inman et al. 2019 and were used to identify multivariate clusters and map them back to geographic space. Inman et al. 2019. Local niche differences predict genotype associations [...]

Contacts

Point of Contact :
Rich D Inman
Originator :
Rich D Inman, Todd C Esque
Metadata Contact :
Rich D Inman
USGS Mission Area :
Ecosystems
SDC Data Owner :
Western Ecological Research Center
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

CLIM1.zip 727.84 KB application/zip
CLIM3.zip 669.22 KB application/zip
LC.zip 746.39 KB application/zip
PHYS1.zip 758.94 KB application/zip
PHYS2.zip 768.25 KB application/zip
SOIL2.zip 714.29 KB application/zip
SOIL3.zip 727.57 KB application/zip
VEG1.zip 740.96 KB application/zip
VEG3.zip 762.08 KB application/zip

Purpose

We developed a two-step modeling approach drawing on the strengths of both species distribution modelling (SDM) and multiscale geographically weighted regression (MGWR) to explore spatial patterns in species-environment relationships in Gopherus agassizii and Gopherus morafkai across this secondary contact zone. In the first step, we use SDM to develop range-wide ecological niche models for each species separately and test existing hypotheses that the niches of these two species are more difference than would be expected by chance. We then pool both species and develop a single model of their combined ecological niche and treat the mapped residuals from this pooled model as a measure of local deviation. We assume that, if the two species exhibit different ecological niches, residuals from a pooled model will represent how poorly their combined niche predicts habitat at a given location. In the second step, we use MGWR to explore spatial patterns in the relationships between these residuals and hypothesized explanatory variables that may enumerate differences between the two species and their hybrids within the focal study area. While the interpretation of model coefficients for residuals as the response variable is perhaps less intuitive than interpreting those for habitat suitability, residuals offer a local measure of deviation from pooled niches that may illuminate landscape gradients in local niche differences. We use SDM and MGWR in a coupled modeling approach to identify differences in the ecological niches of G. agassizii and G. morafkai, and explore spatially varying species-environment relationships in the recent secondary contact zone. We 1) formally test for differences in their ecological niches, 2) identify boundaries represented by differences in their niches, and 3) determine which of three delineations better describes landscape patterns of genotypic variation. These delineations include A) the Colorado River (the current geographic boundary defining each species), B) the Mojave and Sonoran Basin and Range ecotone, and C) geographic patterns in local niche differences identified in this study. The results of this study will inform conservation planning across the transition zone of these two species.

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