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 …

Ecology Letters (2010) 13: 246–264 Abstract Many of the most interesting questions
ecologists ask lead to analyses of spatial data. Yet, perhaps confused by the large number …

Experiments suggest that biodiversity enhances the ability of ecosystems to maintain
multiple functions, such as carbon storage, productivity, and the buildup of nutrient pools …

Many disciplines have influenced the representation of spatial data, both in analogue and
digital forms. Surveyors, navigators, and military and civil engineers refined the fundamental …

The growth of data analysis techniques proceeds at astounding rates and it is often difficult
to maintain familiarity with its development. So too is the growth of sub-disciplines in …

Species distribution models are usually evaluated with cross‐validation. In this procedure
evaluation statistics are computed from model predictions for sites of presence and absence …

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 …

Ecological data often exhibit spatial pattern, which can be modeled as autocorrelation.
Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are …

Aim Elevational gradients distributed across the globe are a powerful test system for
understanding biodiversity. Here I use a comprehensive set of bird elevational gradients to …

Whereas previous studies have investigated correlates of extinction risk either at global or
regional scales, our study explicitly models regional effects of anthropogenic threats and …