Community confounding in joint species distribution models
Item Metadata
Dublin Core
Title
Community confounding in joint species distribution models
Description
Joint species distribution models have become ubiquitous for studying species-environment relationships and dependence among species. Accounting for community structure often improves predictive power, but can also affect inference on species-environment relationships. Specifically, some parameterizations of joint species distribution models allow interspecies dependence and environmental effects to explain the same sources of variability in species distributions, a phenomenon we call community confounding. We present a method for measuring community confounding and show how to orthogonalize the environmental and random species effects in suite of joint species distribution models. In a simulation study, we show that community confounding can lead to computational difficulties and that orthogonalizing the environmental and random species effects can alleviate these difficulties. We also discuss the inferential implications of community confounding and orthogonalizing the environmental and random species effects in a case study of mammalian responses to the Colorado bark beetle epidemic in the subalpine forest by comparing the outputs from occupancy models that treat species independently or account for interspecies dependence. We illustrate how joint species distribution models that restrict the random species effects to be orthogonal to the fixed effects can have computational benefits and still recover the inference provided by an unrestricted joint species distribution model.
Bibliographic Citation
Van Ee, J. J., J. S. Ivan, and M. B. Hooten. 2022. Community confounding in joint species distribution models. Scientific Reports 12:1–14. https://doi.org/10.1038/s41598-022-15694-6
Creator
Van Ee, Justin J.
Ivan, Jacob S.
Hooten, Mevin B.
Subject
Colorado bark beetle
Joint species distribution model
Community confounding
Extent
14 pages
Type
Article
Format
application/pdf
Language
English
Is Part Of
Scientific Reports
Date Accepted
06/28/2022
Date Issued
07/18/2022
Date Submitted
11/24/2021
Collection
Citation
Van Ee, Justin J., Ivan, Jacob S., and Hooten, Mevin B., “Community confounding in joint species distribution models,” CPW Digital Collections, accessed October 7, 2024, https://cpw.cvlcollections.org/items/show/396.