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SAM: a comprehensive application for Spatial Analysis in Macroecology
SAM (Spatial Analysis in Macroecology) is a freeware application that offers a comprehensive array of spatial statistical methods, focused primarily on surface pattern spatial analysis. SAM is a
Towards an integrated computational tool for spatial analysis in macroecology and biogeography
Because most macroecological and biodiversity data are spatially autocorrelated, special tools for describing spatial structures and dealing with hypothesis testing are usually required.
Spatial autocorrelation and red herrings in geographical ecology
Comparison between OLS and GLS models including all environmental variables revealed that GLS de-emphasized predictors with strong autocorrelation and long-distance clinal structures, giving more importance to variables acting at smaller geographical scales.
Floods increase similarity among aquatic habitats in river-floodplain systems
During low water levels, habitats in river-floodplain systems are isolated from each other and from the main river. Oppositely, floods tend to connect water bodies with distinct hydrological
Metacommunity organisation, spatial extent and dispersal in aquatic systems: patterns, processes and prospects
A better understanding of the relative roles of species sorting, mass effects and dispersal limitation in affecting aquatic metacommunities requires the following: characterising dispersal rates more directly or adopting better proxies than have been used previously; considering the nature of aquatic networks; and combining correlative and experimental approaches.
Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change
A novel approach to partition the variance among modeled attributes, such as richness or turnover, and map sources of uncertainty in ensembles of forecasts is presented, providing a new analytical framework to examine uncertainties in models by quantifying their importance and mapping their patterns.
It is concluded that PVR can be a useful alternative to an autoregressive method in comparative data analysis and is more efficient at smaller sample sizes and when level of phylogenetic inertia is low.
Mantel test in population genetics
This review shows that a careful application and interpretation of Mantel tests, especially Mantel correlograms, can overcome some potential statistical problems and provide a simple and useful tool for multivariate analysis of spatial patterns of genetic divergence.
Modelling geographical patterns in species richness using eigenvector-based spatial filters
Aim  To test the mechanisms driving bird species richness at broad spatial scales using eigenvector-based spatial filtering. Location  South America. Methods  An eigenvector-based spatial
Common and rare species respond to similar niche processes in macroinvertebrate metacommunities
It is suggested that sets of common and rare species react to similar major environmental gradients and that rare species also respond to processes that operate at a more fi ne-grained spatial scale, particularly biotic interactions.