Understanding spatial effects in species distribution models

Paradinas, I., Illian, J. and Smout, S. (2023) Understanding spatial effects in species distribution models. PLoS ONE, 18(5), e0285463. (doi: 10.1371/journal.pone.0285463) (PMID:37253039)

[img] Text
299772.pdf - Published Version
Available under License Creative Commons Attribution.



Species Distribution Models often include spatial effects which may improve prediction at unsampled locations and reduce Type I errors when identifying environmental drivers. In some cases ecologists try to ecologically interpret the spatial patterns displayed by the spatial effect. However, spatial autocorrelation may be driven by many different unaccounted drivers, which complicates the ecological interpretation of fitted spatial effects. This study aims to provide a practical demonstration that spatial effects are able to smooth the effect of multiple unaccounted drivers. To do so we use a simulation study that fit model-based spatial models using both geostatistics and 2D smoothing splines. Results show that fitted spatial effects resemble the sum of the unaccounted covariate surface(s) in each model.

Item Type:Articles
Additional Information:IP was funded by a Marie Skłodowska-Curie Research Fellowship (GAP-847014).
Glasgow Author(s) Enlighten ID:Paradinas, Dr Iosu and Illian, Professor Janine
Creator Roles:
Paradinas, I.Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Writing – original draft
Illian, J.Conceptualization, Funding acquisition, Methodology
Authors: Paradinas, I., Illian, J., and Smout, S.
College/School:College of Science and Engineering > School of Mathematics and Statistics
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:PLoS ONE
Publisher:Public Library of Science
ISSN (Online):1932-6203
Copyright Holders:Copyright © 2023 Paradinas et al.
First Published:First published in PLoS ONE 18(5): e0285463
Publisher Policy:Reproduced under a Creative Commons License
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record