Species distribution models (SDMs) are numerical tools that combine observations of
species occurrence or abundance with environmental estimates. They are used to gain …

Species distributional or trait data based on range map (extent‐of‐occurrence) or atlas
survey data often display spatial autocorrelation, ie locations close to each other exhibit …

Biological Diversity provides an up to date, authoritative review of the methods of measuring
and assessing biological diversity, together with their application. The book's emphasis is on …

Understanding the causes of spatial variation in species richness is a major research focus
of biogeography and macroecology. Gridded environmental data and species richness …

SAM (Spatial Analysis in Macroecology) is a freeware application that offers a
comprehensive array of spatial statistical methods, focused primarily on surface pattern …

Forest structure and dynamics vary across the Amazon Basin in an east-west gradient
coincident with variations in soil fertility and geology. This has resulted in the hypothesis that …

The accelerating rates of international trade, travel, and transport in the latter half of the
twentieth century have led to the progressive mixing of biota from across the world and the …

The MaxEnt software package is one of the most popular tools for species-distribution
modeling. Despite its popularity, researchers usually underestimate the influence of the …

Documenting and exploring the patterns of diversity of life on Earth has always been a
central theme in biology. Species richness despite being the most commonly used measure …

Aim Spatial autocorrelation is a frequent phenomenon in ecological data and can affect
estimates of model coefficients and inference from statistical models. Here, we test the …