Predicting contemporary and future species distributions is relevant for science and decision
making, yet the development of high‐resolution spatial predictions for numerous taxonomic …

Aim A limitation of species distribution models (SDMs) is that species with low sample sizes
are difficult to model. Yet, it is often important to know the habitat associations of poorly …

Aim Snow cover persistence (SCP) has significant effects on plants in high‐elevation
ecosystems. It determines the length of the growing season, provides insulation against low …

Understanding environmental drivers of species diversity has become increasingly
important under climate change. Different trophic groups (predators, omnivores and …

The success of natural regeneration in silviculture depends on the complex interactions
between interventions of stand structure, the natural seed-dispersal processes, and seedling …

Ecological processes are often spatially and temporally structured, potentially leading to
autocorrelation either in environmental variables or species distribution data. Because of …

Mathematical models can be used to conduct COVID-19 pandemic analyses, including
theoretical, quantitative, and simulation analyses. COVID-19 pandemic models such as the …

Nurse plants play a crucial role on plant biodiversity in drylands. While the nurse's impacts in
biodiversity are documented, we know little about such impacts of different nurse's life forms; …

Disentangling the relative importance of different biodiversity drivers (ie, climate, edaphic,
historical factors, or human impact) to predict plant species richness at the local scale is one …

Amphibians are among the largest endangered groups globally, with more than 2000
endangered species. As low mobility limits species' distribution, connectivity between core …