Mitigating pseudoreplication and bias in resource selection functions with autocorrelation‐informed weighting

Mitigating pseudoreplication and bias in resource selection functions with autocorrelation‐informed weighting

Abstract Resource selection functions (RSFs) are among the most commonly used statistical tools in both basic and applied animal ecology. They are typically parameterized using animal tracking data, and advances in animal tracking technology have led to increasing levels of autocorrelation between l...

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Bibliographic Details
Main Authors: Jesse M. Alston, Christen H. Fleming, Roland Kays, Jarryd P. Streicher, Colleen T. Downs, Tharmalingam Ramesh, Björn Reineking, Justin M. Calabrese
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:Methods in Ecology and Evolution
Subjects:
continuous‐time movement models
habitat selection
home range
Ornstein–Uhlenbeck process
space use
spatial point process
Online Access:https://doi.org/10.1111/2041-210X.14025

Internet

https://doi.org/10.1111/2041-210X.14025

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