Demand for models in biodiversity assessments is rising, but which models are adequate for
the task? We propose a set of best-practice standards and detailed guidelines enabling …

Presence‐only data are widely used for species distribution modelling, and point process
regression models are a flexible tool that has considerable potential for this problem, when …

In the face of the growing challenges brought about by human activities, effective planning
and decision-making in biodiversity and ecosystem conservation, restoration, and …

Two prominent limitations of species distribution models (SDM s) are spatial biases in
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …

Species distribution models (SDMs) are statistical tools that relate species observations to
environmental conditions to retrieve ecological niches and predict species' potential …

Climate change and biological invasions are threatening biodiversity and ecosystem
services worldwide. It has now been widely acknowledged that climate change will affect …

Conservation science depends on an accurate understanding of what's happening in a
given ecosystem. How many species live there? What is the makeup of the population? How …

The use of complex statistical models has recently increased substantially in the context of
species distribution behavior. This complexity has made the inferential and predictive …

To the Editor—Halting the unprecedented loss of biodiversity is one of humanity's greatest
challenges 1, 2. Area-based management frameworks, such as national parks or marine …

State‐space models are an increasingly common and important tool in the quantitative
ecologists' armoury, particularly for the analysis of time‐series data. This is due to both their …