Partners in the development of the NSN included: Audubon Society of NH, Central New Hampshire Regional Planning Commission, Nashua Regional Planning Commission, NH Department of Environmental Services, NH Department of Transportation, NH Fish & Game Department, NH State Conservation Committee, Rockingham Planning Commission, Society for the Protection of New Hampshire Forests, Southern New Hampshire Planning Commission, The Jordan Institute, The Nature Conservancy, and the University of New Hampshire Complex Systems Research Center.
Initial development of the New Hampshire Natural Services Network was funded by the NH Department of Transportation. Additional support was provided by funds from the sale of the Conservation License Plate (Moose Plate) under the NH State Conservation Committee grant program.
For further information, please reference the "Natural Services Network User Guide", available from The Jordan Institute, Concord, NH.
Please cite as "New Hampshire GRANIT. 2007. New Hampshire Natural Services Network. Complex Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH."
The county based SSURGO SOILS data sets were appended into a statewide data set. Prime agricultural soils and soils of statewide importance were then extracted. Developed lands were selected from NHLC01, and overlain on SOILS such that the underlying soil units were erased. The item PS (Productive Soils) was added to the result and populated as 0/1.
Tier 1 and Tier 2 ranked habitats were extracted from the WAP data, and the item IWH (Important Wildlife habitat) was and populated as 0/1.
Digital 100-year floodplain (FLOOD) data (including effective DFIRMs for Cheshire, Rockingham, Strafford, and Sullivan Counties, preliminary DFIRMs for Grafton, Hillsborough, and Merrimack Counties, and preliminary data for Belknap, Carroll, and Coos Counties) were mosaiced into a statewide dataset. The data were not seamless across county boundaries. In producing the mosaic, efforts were made to prioritize features in the following order: effective DFIRMs, preliminary DFIRMs, preliminary digital data. From the NWI data, palustrine, lacustrine, and riverine wetland types were extracted. The FLOOD and NWI data were unioned, and the item FSL (Flood Storage Lands) was added and populated as 0/1.
Finally, the WSL, PS, IWH, and FSL composites were unioned into the statewide Natural Services Network. The item NSN was added and populated as 0/1.