Remote sensing has transformed the monitoring of life on Earth by revealing spatial and
temporal dimensions of biological diversity through structural, compositional and functional …

Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no
synthesis of bias patterns or their consequences exists. As such, views of organismal …

The accessibility of global biodiversity information has surged in the past two decades,
notably through widespread funding initiatives for museum specimen digitization and …

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

An updated inventory of the native vascular plants of Mexico records 23,314 species,
distributed in 2,854 genera, 297 families, and 73 orders. The flora includes 1,039 species of …

Land-use and climate change are among the greatest threats facing biodiversity, but
understanding their combined effects has been hampered by modelling and data limitations …

High-resolution, easily accessible paleoclimate data are essential for environmental,
evolutionary, and ecological studies. The availability of bioclimatic layers derived from …

sdm is an object‐oriented, reproducible and extensible, platform for species distribution
modelling. It uses individual species and community‐based approaches, enabling …

Spatial thinning of species occurrence records can help address problems associated with
spatial sampling biases. Ideally, thinning removes the fewest records necessary to …