Two foundational questions about sustainability are “How are ecosystems and the services
they provide going to change in the future?” and “How do human decisions affect these …

Checking that models adequately represent data is an essential component of applied
statistical inference. Ecologists increasingly use hierarchical Bayesian statistical models in their …

Animal movement is essential to our understanding of population dynamics, animal behavior,
and the impacts of global change. Coupled with high-resolution biotelemetry data, exciting …

… From here forward, assume that we are dealing with a set of models ℳ = {M 1 , …, M l , …,
M L } (where L is the total number of models) that are built using expert scientific judgement …

… "Hobbs and Hooten provide a complete guide to Bayesian … "Tackling an important and
challenging topic, Hobbs and Hooten … "Hobbs and Hooten provide an important bridge between …

Habitat selection is a fundamental aspect of animal ecology, the understanding of which is
critical to management and conservation. Global positioning system data from animals allow …

Power‐law relationships are among the most well‐studied functional relationships in biology.
Recently the common practice of fitting power laws using linear regression (LR) on log‐…

The study of animal movement has always been a key element in ecological science, because
it is inherently linked to critical processes that scale from individuals to populations and …

Spatio-temporal statistical models are increasingly being used across a wide variety of
scientific disciplines to describe and predict spatially-explicit processes that evolve over time. …

… distance, we chose a neighbourhood distance of 5150 m to calculate our spatial proximity
matrix for the species richness (SR) model and 6201 m for the Shannon–Wiener diversity (H′…