Spatial Bayesian models project shifts in suitable habitat for Pacific Northwest tree species under climate change

Kralicek, Karin; Ver Hoef, Jay M.; Barrett, Tara M.; Temesgen, Hailemariam

doi:10.1002/ecs2.4449

i

Spatial Bayesian models project shifts in suitable habitat for Pacific Northwest tree species under climate change

Supporting Files

2023
By Kralicek, Karin ; Ver Hoef, Jay M. ; Barrett, Tara M. ; ...

Details

Journal Title:

Ecosphere
Personal Author:

Kralicek, Karin ; Ver Hoef, Jay M. ; Barrett, Tara M. ; Temesgen, Hailemariam
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; AFSC (Alaska Fisheries Science Center)
Description:

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 condi-tional autoregressive model. This modeling approach allowed us to visualize uncertainty in response curves, map current and future prediction uncertainty,
Keywords:

Ecology Ecology, Evolution, Behavior And Systematics Ecology, Evolution, Behavior And Systematics Ecology, Evolution, Behavior And Systematics
Source:

Ecosphere, 14(3)
DOI:

https://doi.org/10.1002/ecs2.4449
ISSN:

2150-8925 ; 2150-8925
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:839fbec1a7f2dff4ec17abec5214a5baa7fd3db2159b34fe6207dda9d1bcc784
Download URL:

https://repository.library.noaa.gov/view/noaa/53701/noaa_53701_DS1.pdf
File Type:

[PDF - 2.53 MB ]

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