With the expansion in the quantity and types of biodiversity data being collected, there is a
need to find ways to combine these different sources to provide cohesive summaries of …

Presence‐only data are widely used for species distribution modelling, and point process
regression models are a flexible tool that has considerable potential for this problem, when …

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

This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …

Ecological niche models (ENMs) are widely used statistical methods to estimate various
types of species niches. After lecturing several editions of introductory courses on ENMs and …

A poor understanding of the fraction of global plant biomass occurring belowground as roots
limits our understanding of present and future ecosystem function and carbon pools. Here …

While the application of machine-learning algorithms has been highly simplified in the last
years due to their well-documented integration in commonly used statistical programming …

Climate change has been associated with both latitudinal and elevational shifts in species'
ranges. The extent, however, to which climate change has driven recent range shifts …

With the steady increase in urbanization that has occurred, China has begun to suffer from
serious urban sprawl. Both the increase in urbanization and the subsequent urban sprawl …

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