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We created ADAPT to help partners make science-informed decisions related to species and habitat prioritization across the Southwest United States. We used Integrated Nested Laplace Approximation (INLA) to analyze the data at a 1-km resolution. We used climate and land use change data generated from CMIP 6 climate models. Count data were from eBird surveys and converted to presence/absence data for analysis. Our model consisted of fixed effects of elevation, land cover type, and effort with random effects for year and site as well as a spatial random effect. We implemented the effect of relative humidity as a spatially-varying coefficient such that the effect of relative humidity on occupancy can vary at each grid...
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