The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. http://dspace.gcswcd.com:8080 2026-03-11T12:12:35Z 2026-03-11T12:12:35Z New York City Department of Environmental Protection http://dspace.gcswcd.com:8080/handle/123456789/211 2013-10-30T00:33:02Z 2009-01-01T00:00:00Z

2008 Watershed Water Quality Annual Report New York City Department of Environmental Protection This report provides an overview of water quality conditions (physical, biological & chemical) with respect to annual rainfall, runoff and reservoir supply conditions. The report also describes DEP’s efforts to evaluate the effectiveness of watershed protection and remediation programs. In addition there a brief report on turbidity modeling for different climate scenarios within the Schoharie Creek basin.

2009-01-01T00:00:00Z ESRI http://dspace.gcswcd.com:8080/handle/123456789/210 2013-10-04T06:00:26Z 2009-01-01T00:00:00Z

Preserving Species Diversity – GIS helps New York screen projects for potential impacts. ESRI This brief article describes how a custom GIS application was designed to assist NYSDEC staff identify critical habitat of threatened species and assess impacts of proposed projects when conducting regulatory reviews.

2009-01-01T00:00:00Z Shirer, R. Zimmerman, C. http://dspace.gcswcd.com:8080/handle/123456789/209 2013-10-04T06:00:27Z 2010-01-01T00:00:00Z

Forest Regeneration in New York State. Shirer, R.; Zimmerman, C. This report explains the methods used to classify and plot forest regeneration index categories, resulting in mapping and analysis of forest inventory locations with relation to forest cover and state ecoregions.

2010-01-01T00:00:00Z Smith, S.D. Brown, W.A. Smith, C.D. Richmond, M.E. http://dspace.gcswcd.com:8080/handle/123456789/208 2013-10-04T06:00:27Z 2005-01-01T00:00:00Z

Habitat Vulnerability Assessment in the Hudson River Valley. Smith, S.D.; Brown, W.A.; Smith, C.D.; Richmond, M.E. The habitat vulnerability assessment in this analysis is based on residential expansion. The authors developed a census-based model to locate/predict where residential development was likely to affect vulnerable habitats. Areas of threatened/endangered animal species are identified by an overlap quartile mapping of species richness and potential new housing.

2005-01-01T00:00:00Z