Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

As human density increases, biodiversity must increasingly co-exist with urbanization or face
local extinction. Tolerance of urban areas has been linked to numerous functional traits, yet …

Highlights•Insect ecological projections have grown, increasingly incorporating best
practices.•Correlative studies continue to dominate, complicating interpretability.•Projections …

Data integration is a statistical modeling approach that incorporates multiple data sources
within a unified analytical framework. Macrosystems ecology–the study of ecological …

Species distribution models (SDMs) provide insights into species' ecology and distributions
and are frequently used to guide conservation priorities. However, many uses of SDMs …

Quantifying environment–morphology relationships is important not only for understanding
the fundamental processes driving phenotypic diversity within and among species but also …

Data deficiencies among rare or cryptic species preclude assessment of community‐level
processes using many existing approaches, limiting our understanding of the trends and …

Species distribution models (SDMs) are widely used to relate species occurrence and
density to local environmental conditions, and often include a spatially correlated variable to …

Aim The non‐stationarity in habitat selection of expanding populations poses a significant
challenge for spatial forecasting. Focusing on the grey wolf (Canis lupus) natural …

There is a longstanding debate about the role of nitrogen (N) vs phosphorus (P) in limiting
primary production in lakes and whether co-nutrient limitation should be considered for …