Predictive models are central to many scientific disciplines and vital for informing
management in a rapidly changing world. However, limited understanding of the accuracy …

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

Mapping aboveground forest biomass is central for assessing the global carbon balance.
However, current large-scale maps show strong disparities, despite good validation statistics …

Nitrogen (N) and phosphorus (P) limitation constrains the magnitude of terrestrial carbon
uptake in response to elevated carbon dioxide and climate change. However, global maps …

Species distribution models (SDMs) constitute the most common class of models across
ecology, evolution and conservation. The advent of ready‐to‐use software packages and …

Climate and land-use change drive a suite of stressors that shape ecosystems and interact
to yield complex ecological responses (that is, additive, antagonistic and synergistic effects) …

Understanding the relationship between the geographical distribution of taxa and their
environmental conditions is a key concept in ecology and conservation. The use of …

Climate change-driven increases in drought frequency and severity could compromise forest
ecosystems and the terrestrial carbon sink,–. While the impacts of single droughts on forests …

Current conservation policy has been shaped by the expectation that, for many species,
places with suitable climate will lie outside their current range, thus leading to predictions of …

Assessing the distribution of geographically restricted and evolutionarily unique species and
their underlying drivers is key to understanding biogeographical processes and critical for …