public read ArcGIS python script modelForest Ecosystem Monitoring Cooperative
705 Spear StreetSouth BurlingtonVermont05403United States of America
(802) 656-0683femc@uvm.eduwww.uvm.edu/femc
Forest Ecosystem Monitoring Cooperative (FEMC) leadNew York Invasive Species Research Institute partnerA python script model to be used with ArcGIS (10.5.1) to produce statistics based on stream riparian buffers and projected hemlock losses (USFS 2018). Forest Ecosystem Monitoring CooperativeProjected hemlock woolly adelgid-induced losses (2013-2027) in riparian corridors in New York StateAlexandraKosibaprincipalInvestigatorJamesDuncanprincipalInvestigatorCarrieBrown-LimacontentProviderThe Forest Ecosystem Monitoring Cooperative collaborated with the New York Invasive Species Research Institute to identify and rank riparian corridors at potential risk of future hemlock losses due to hemlock woolly adelgid (HWA) in New York State (projected 2013-2027; USFS 2012). We combined preexisting spatial data projecting losses of hemlock due to HWA developed by the USDA Forest Service Forest Health Protection program (USFS 2012) with stream corridor and catchment data to quantify potential losses at 50', 100' and 200' buffers of stream reaches and summarized the results to HUC12 sub-catchments.ArcGIS python script modelA python script model to be used with ArcGIS (10.5.1) to produce statistics based on stream riparian buffers and projected hemlock losses (USFS 2018). VMC.1312.2636mySQL/femc/data/archive/project/hemlock-woolly-adelgid-riparian-losses-new-york/dataset/arcgis-model2018-06-012018-11-01No AttributesNo Definitionno data