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

A core challenge in global change biology is to predict how species will respond to future
environmental change and to manage these responses. To make such predictions and …

Joint species distribution modelling (JSDM) is a fast-develo** field and promises to
revolutionise how data on ecological communities are analysed and interpreted. Written for …

A large array of species distribution model (SDM) approaches has been developed for
explaining and predicting the occurrences of individual species or species assemblages …

Understanding, modeling, and predicting the impact of global change on ecosystem
functioning across biogeographical gradients can benefit from enhanced capacity to …

Species distribution models (SDMs) are widely used to explain and predict species ranges
and environmental niches. They are most commonly constructed by inferring species' …

Aim To synthesize the species distribution modelling (SDM) literature to inform which
variables have been used in MaxEnt models for different taxa and to quantify how frequently …

Natural communities are well known to be maintained by many complex processes. Despite
this, the practical aspects of studying them often require some simplification, such as the …

Climate refugia, locations where taxa survive periods of regionally adverse climate, are
thought to be critical for maintaining biodiversity through the glacial–interglacial climate …

Populations of many species are genetically adapted to local historical climate conditions.
Yet most forecasts of species' distributions under climate change have ignored local …