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

In ecology, the true causal structure for a given problem is often not known, and several
plausible models and thus model predictions exist. It has been claimed that using weighted …

Purpose Partial least squares structural equation modeling (PLS-SEM) has become popular
in the information systems (IS) field for modeling structural relationships between latent …

Spending time in nature is one potential way to cope with the negative physical and
psychological health impacts from major stressful life events. In 2020, a large fraction of the …

A powerful investigative tool in biology is to consider not a single mathematical model but a
collection of models designed to explore different working hypotheses and select the best …

The tropical forest carbon sink is known to be drought sensitive, but it is unclear which
forests are the most vulnerable to extreme events. Forests with hotter and drier baseline …

Understanding how plants survive drought and cold is increasingly important as plants
worldwide experience dieback with drought in moist places and grow taller with warming in …

The use of linear mixed effects models (LMMs) is increasingly common in the analysis of
biological data. Whilst LMMs offer a flexible approach to modelling a broad range of data …

Global forest restoration targets have been set, yet policy makers and land managers lack
guiding principles on how to invest limited resources to achieve them. We conducted a meta …

The social intelligence hypothesis states that the demands of social life drive cognitive
evolution,,. This idea receives support from comparative studies that link variation in group …