Low spatial autocorrelation in mountain biodiversity data and model residuals

Low spatial autocorrelation in mountain biodiversity data and model residuals

Abstract Spatial autocorrelation (SAC) is a common feature of ecological data where observations tend to be more similar at some geographic distance(s) than expected by chance. Despite the implications of SAC for data dependencies, its impact on the performance of species distribution models (SDMs)...

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Bibliographic Details
Main Authors: Mathieu Chevalier, Heidi Mod, Olivier Broennimann, Valeria Di Cola, Sarah Schmid, Hélène Niculita‐Hirzel, Jean‐Nicolas Pradervand, Benedikt R. Schmidt, Sylvain Ursenbacher, Loïc Pellissier, Antoine Guisan
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:Ecosphere
Subjects:
correlograms
Mantel
Moran
mountains
spatial autocorrelation
species distribution models
Online Access:https://doi.org/10.1002/ecs2.3403

Internet

https://doi.org/10.1002/ecs2.3403

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