Species distributions and abundances are undergoing rapid changes worldwide. This
highlights the significance of reliable, integrated information for guiding and assessing …

Reporting specific modelling methods and metadata is essential to the reproducibility of
ecological studies, yet guidelines rarely exist regarding what information should be noted …

There is a rich amount of information in co‐occurrence (presence–absence) data that could
be used to understand community assembly. This proposition first envisioned by Forbes …

Geostatistical data—spatially referenced observations related to some continuous spatial
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …

Aim Recent studies increasingly use statistical methods to infer biotic interactions from co‐
occurrence information at a large spatial scale. However, disentangling biotic interactions …

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines
the Bayesian and frequentist methods of conducting data analyses. The book provides the …

Predicting which species will occur together in the future, and where, remains one of the
greatest challenges in ecology, and requires a sound understanding of how the abiotic and …

A primary goal of ecology is to understand the fundamental processes underlying the
geographic distributions of species. Two major strands of ecology–habitat modelling and …

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

Species occurrence is influenced by environmental conditions and the presence of other
species. Current approaches for multispecies occupancy modelling are practically limited to …