Habitat selection is a fundamental animal behavior that shapes a wide range of ecological
processes, including animal movement, nutrient transfer, trophic dynamics and population …

Negative binomial modelling is one of the most commonly used statistical tools for analysing
count data in ecology and biodiversity research. This is not surprising given the prevalence …

Overfishing is the primary cause of marine defaunation, yet declines in and increasing
extinction risks of individual species are difficult to measure, particularly for the largest …

Indices of abundance based on fishery catch-per-unit-effort (CPUE) are important
components of many stock assessments, particularly when fishery-independent surveys are …

Human activity and land use change impact every landscape on Earth, driving declines in
many animal species while benefiting others. Species ecological and life history traits may …

State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …

Telemetry is an increasingly common tool for studying the ecology of wild fish, with great
potential to provide valuable information for management and conservation. For researchers …

Infectious diseases are strong drivers of wildlife population dynamics, however, empirical
analyses from the early stages of pathogen emergence are rare. Tasmanian devil facial …

The R package mcp does flexible and informed Bayesian regression with change points.
mcp can infer the location of changes between regression models on means, variances …

Bayesian data analysis (BDA) is a powerful tool for making inference from ecological data,
but its full potential has yet to be realized. Despite a generally positive trajectory in research …