In New York State, the golden-winged warbler (GWW), a state species of special concern, has recently been found to nest in swamp forest habitat in Sterling Forest State Park in the Hudson Highlands ecoregion. These swamp forest breeding territories are often embedded in a mosaic of wetland cover types. An accurate map of wetlands in the Hudson Highlands would be a useful input to a GWW habitat suitability model and could help conservation managers better allocate limited resources towards GWW monitoring and habitat management.

A remote sensing and geographic information system-based study has been carried out to map areas susceptible to landslides using three statistical models, frequency ratio (FR), logistic regression (LR), and fuzzy logic at the central Zab basin in the mountainsides in the southwest West Azerbaijan province in Iran. Ten factors such as slope, aspect, elevation, lithology, normalized difference vegetation index (NDVI), land cover, precipitation, distance to fault, distance to drainage, and distance to road were considered. Landsat ETM⁺images were used for NDVI and land cover maps.

We used boosted regression trees (BRT) to model stream biological condition as measured by benthic macroinvertebrate taxonomic completeness, the ratio of observed to expected (O/E) taxa. Models were developed with and without exclusion of rare taxa at a site. BRT models are robust, requiring few assumptions compared with traditional modeling techniques such as multiple linear regression.