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 …

Ecological systems can often be characterised by changes among a finite set of underlying
states pertaining to individuals, populations, communities or entire ecosystems through time …

Model evaluation metrics play a critical role in the selection of adequate species distribution
models for conservation and for any application of species distribution modelling (SDM) in …

Some animal species shift their activity towards increased nocturnality in disturbed habitats
to avoid predominantly diurnal humans. This may alter diel overlap among species, a …

Overdispersion is common in models of count data in ecology and evolutionary biology, and
can occur due to missing covariates, non-independent (aggregated) data, or an excess …

The steady upward trend in the use of model selection and Bayesian methods in ecological
research has made it clear that both approaches to inference are important for modern …

Overdispersion is a common feature of models of biological data, but researchers often fail
to model the excess variation driving the overdispersion, resulting in biased parameter …

With the advent of DNA sequencing‐based techniques, the way we detect and measure
biodiversity is undergoing a radical shift. There is also an increasing awareness of the need …

Establishing relationships between species distributions and environmental characteristics
is a major goal in the search for forces driving species distributions. Canonical ordinations …

Probabilistic forecasts of species distribution and abundance require models that
accommodate the range of ecological data, including a joint distribution of multiple species …