Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …

As linear mixed-effects models (LMMs) have become a widespread tool in ecology, the need
to guide the use of such tools is increasingly important. One common guideline is that one …

Simple Summary The present review evaluates twenty years (2001 to 2021) of the study of
growth and performance in local chicken breeds worldwide. The assessment of …

Biologists routinely fit novel and complex statistical models to push the limits of our
understanding. Examples include, but are not limited to, flexible Bayesian approaches (eg …

Many believe that the quality of a scientific publication is as good as the science it cites.
However, quantifications of how features of reference lists affect citations remain sparse. We …

Quantitative estimation of seismic risk over a region requires both an underlying probabilistic
seismic hazard model and a means to characterise shallow site response over a large scale …

Movement is critical to animal survival and, thus, biodiversity in fragmented landscapes.
Increasing fragmentation in the Anthropocene necessitates predictions about the movement …

Animal cognition research often involves small and idiosyncratic samples. This can
constrain the generalizability and replicability of a study's results and prevent meaningful …

Ecological data pose many challenges to statistical inference. Most data come from
observational studies rather than designed experiments; observational units are frequently …

Plants have evolved numerous traits to acquire phosphorus (P). Correspondingly, soil P
availability modulates the functional composition of many plant communities. However, it is …