In an epoch of rapid environmental change, understanding and predicting how biodiversity
will respond to a changing climate is an urgent challenge. Since we seldom have sufficient …

En los últimos años se ha generalizado una nueva herramienta que permite analizar
objetivamente los patrones espaciales de presencia de organismos: los modelos de …

Species data held in museum and herbaria, survey data and opportunistically observed data
are a substantial information resource. A key challenge in using these data is the uncertainty …

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 …

This book provides a first synthetic view of an emerging area of ecology and biogeography,
linking individual-and population-level processes to geographic distributions and …

We present software that facilitates quantitative comparisons of environmental niche models
(ENMs). Our software quantifies similarity of ENMs generated using the program Maxent and …

Two prominent limitations of species distribution models (SDM s) are spatial biases in
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …

Maps of species' distributions or habitat suitability are required for many aspects of
environmental research, resource management and conservation planning. These include …

Aim Although species distribution models (SDMs) traditionally link species occurrences to
free‐air temperature data at coarse spatio‐temporal resolution, the distribution of organisms …

Predicting species geographic distributions in the future is an important yet exceptionally
challenging endeavor. Overall, it requires a two‐step process:(1) a niche model …