2023
DOI: 10.1002/ecs2.4449
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Spatial Bayesian models project shifts in suitable habitat for Pacific Northwest tree species under climate change

Abstract: We developed spatial Bayesian hierarchical models to assess potential climate change impacts on suitable habitat for five important tree species in the Pacific northwestern United States (California, Oregon, and Washington). Individual-species models were fit with presence-absence data from forest inventory field plots and spatial relationships were specified through a conditional autoregressive model. This modeling approach allowed us to visualize uncertainty in response curves, map current and future predict… Show more

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