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 …

A large fraction of the current environmental crisis derives from the large rates of human-
driven biodiversity loss. Biodiversity conservation questions human practices towards …

Environmental DNA (eDNA) sampling can be a highly sensitive method for detecting aquatic
taxa; however, the cost‐efficiency of this technique relative to traditional methods has not …

Bayesian population models can be exceedingly slow due, in part, to the choice to simulate
discrete latent states. Here, we discuss an alternative approach to discrete latent states …

Abstract Through the Convention on Biological Diversity (CBD) 2010 and 2020 biodiversity
targets, nations committed to reducing the rate of loss of biodiversity. This requires …

Broad‐scale biodiversity monitoring relies, at least in part, on the efforts of citizen, or
community, scientists. To ensure robust inferences from citizen science data, it is important …

Effective conservation of at‐risk species presents a conundrum, often requiring rapid status
assessments and timely actions regardless of the adequacy of best available information …

Advances in hierarchical modeling have improved estimation of ecological parameters from
count data, especially those quantifying population abundance, distribution, and dynamics …

Environmental DNA (eDNA) metabarcoding has become widely applied to gauge
biodiversity in a non‐invasive and cost‐efficient manner. The detection of species using …

Wildlife monitoring programs designed to inform forest management and conservation
decisions in the face of climate change benefit from long-term datasets with consistent …