The rapid improvement of camera traps in recent decades has revolutionized biodiversity
monitoring. Despite clear applications in conservation science, camera traps have seldom …

Knowing where species occur is fundamental to many ecological and environmental
applications. Species distribution models (SDMs) are typically based on correlations …

There is increasing availability and use of unstructured and semi‐structured citizen science
data in biodiversity research and conservation. This expansion of a rich source of 'big …

With the advance of methods for estimating species distribution models has come an interest
in how to best combine datasets to improve estimates of species distributions. This has …

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 …

Data integration is a statistical modeling approach that incorporates multiple data sources
within a unified analytical framework. Macrosystems ecology–the study of ecological …

Limited data, and the requirement to provide science-based advice for exploited
populations, have led to the development of statistical methods that combine several …

Integrated Population Models: Theory and Ecological Applications with R and JAGS is the
first book on integrated population models, which constitute a powerful framework for …

Assessing the impacts of ongoing climate and anthropogenic-induced change on wildlife
populations requires understanding species distributions and abundances across large …

Abstract Full-annual-cycle (FAC) models integrate seasonal demographic and
environmental processes to elucidate the factors that limit and regulate animal populations …