Ecological data often show temporal, spatial, hierarchical (random effects), or phylogenetic
structure. Modern statistical approaches are increasingly accounting for such dependencies …

BACKGROUND The pace and magnitude of human-caused global change has accelerated
dramatically over the past 50 years, overwhelming the capacity of many ecosystems and …

The aim of the ecospat package is to make available novel tools and methods to support
spatial analyses and modeling of species niches and distributions in a coherent workflow …

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

Evolutionary adaptation to temperature and climate depends on both the extent to which
organisms experience spatial and temporal environmental variation (exposure) and how …

Climate change is driving a pervasive global redistribution of the planet's species. Species
redistribution poses new questions for the study of ecosystems, conservation science and …

In an epoch of rapid environmental change, understanding and predicting how biodiversity
will respond to a changing climate is an urgent challenge. Since we seldom have sufficient …

Intraspecific genetic variability is critical for species adaptation and evolution and yet it is
generally overlooked in projections of the biological consequences of climate change. We …

All ecological disciplines consider temporal dynamics, although relevant concepts have
been developed almost independently. We here introduce basic principles of temporal …

Climate change is likely to change the relationships between commonly used climate
indices and underlying patterns of climate variability, but this complexity is rarely considered …