Machine learning methods, a family of statistical techniques with origins in the field of
artificial intelligence, are recognized as holding great promise for the advancement of …

The application of remote sensing and Geographic Information Systems (GIS) technologies
provides powerful tools when used to investigate wildlife and its habitat for an analysis or …

Neglect of ecological knowledge is a limiting factor in the use of statistical modelling to
predict species distribution. Three components are needed for statistical modelling, an …

Over the last three decades a great deal of research, money, and effort have been put into
the development of theory and techniques designed to make conservation more efficient …

Species‐area relationships (SARs) are among the most studied phenomena in ecology, and
are important both to our basic understanding of biodiversity and to improving our ability to …

Energy and habitat heterogeneity are important correlates of spatial variation in species
richness, though few investigations have sought to determine simultaneously their relative …

Over the last decade we have seen an increased emphasis in environmental management
and policies aimed at maintaining and restoring multiple ecosystem services at landscape …

Weed risk assessment (WRA) deals with those situations in which an exotic plant species
has already been, or may in future be, introduced to new territory. In the context of this …

We used three approaches to assess potential effects of climate change on birds of the
Northeast. First, we created distribution and abundance models for common bird species …

We assessed environmental gradients and the extent to which they induced concordant
patterns of taxonomic composition among benthic macroinvertebrate, riparian bird …