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Forestland_Habitat (FeatureServer)

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Service Description: To screen large solar array installations for material effect to core forestland areas in response to Public Act 17-218.

Service ItemId: bd0cb4cbb56d4f49bf4a2ac424cac454

Has Versioned Data: false

Max Record Count: 1000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: False

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Description: This spatial screening layer identifies prime continuous and connected core forestland blocks. It was derived from a combination of spatial layers representing areas which would experience a disruption of core forestland processes. Forest processes can be disrupted through loss and degradation of habitat. Degradation of habitat can be measured in different ways that include but are not limited to increased edge effects (Falk et al 2001, Donovan et al. 1995), impediments to organism migration (Sadoti et al. 2017, Chetkiewicz et al 2006, Meyer et. Al 2007), as well as decreased water quality (Alexander et al. 2007, Belucci et al. 2013). Resources were ranked with respect to the degree of effect anticipated and ranks were adjusted based on our confidence in the layer as both accurate and representative. We would consider any conversion of natural habitats to developed land use within the mapped forestland habitat to materially affect the core forestland in these areas. Developed land uses include impervious surface, buildings, structures, roads, and turf grass. The screening layer was derived from 30m pixel raster interpreted data and may include areas that are already developed. If your project area is confined to the developed areas, it may be determined to not materially affect the core forestland in this area. sources of component data used to derive this layer: CLEAR Forest Fragmentation 2010 ) (http://clear.uconn.edu/projects/landscape/v2/forestfrag/measuring/core_explained.htm); Nature's Network HUC 6 (McGarigal K, Compton B, Plunkett EB, Deluca WV, and Grand J. 2017. Designing sustainable landscapes project. University of Massachusetts, Amherst. URL: www.umass.edu/landeco/research/dsl/dsl.html); High Quality Watersheds (DEEP, Bellucci, C.J, M.E. Becker, M. Beauchene, and L. Dunbar. 2013. Classifying the health of Connecticut streams using benthic macroinvertebrates with implications for water management. Environmental Management 51:1274-1283); Natural Diversity Database Element Occurrence Data (DEEP-Wildlife)

Copyright Text: CT Department of Energy & Environmental Protection

Spatial Reference: 102656 (2234)

Initial Extent:
Full Extent:
Units: esriFeet

Child Resources:   Info

Supported Operations:   Query   ConvertFormat   Get Estimates