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Estimating spatially and temporally complex range dynamics when detection is imperfect

September 5, 2019

Species distributions are determined by the interaction of multiple biotic and abiotic factors, which produces complex spatial and temporal patterns of occurrence. As habitats and climate change due to anthropogenic activities, there is a need to develop species distribution models that can quantify these complex range dynamics. In this paper, we develop a dynamic occupancy model that uses a spatial generalized additive model to estimate non-linear spatial variation in occupancy not accounted for by environmental covariates. The model is flexible and can accommodate data from a range of sampling designs that provide information about both occupancy and detection probability. Output from the model can be used to create distribution maps and to estimate indices of temporal range dynamics. We demonstrate the utility of this approach by modeling long-term range dynamics of 10 eastern North American birds using data from the North American Breeding Bird Survey. We anticipate this framework will be particularly useful for modeling species’ distributions over large spatial scales and for quantifying range dynamics over long temporal scales.

Citation Information

Publication Year 2019
Title Estimating spatially and temporally complex range dynamics when detection is imperfect
DOI 10.1038/s41598-019-48851-5
Authors Clark S. Rushing, J. Andrew Royle, David Ziolkowski, Keith L. Pardieck
Publication Type Article
Publication Subtype Journal Article
Series Title Scientific Reports
Index ID 70205247
Record Source USGS Publications Warehouse
USGS Organization Patuxent Wildlife Research Center