Wildlife Management Districts WMD 2011-01-26 2018-11-13T10:51:03.859-05:00 2019-11-26T11:53:11.716-05:00 Amy Meehan Maine Department of Inland Fisheries and Wildlife Wildlife Biologist amy.meehan@maine.gov 650 State Street Bangor Maine 04401 US 207-941-4483 207-941-4450 Wildlife Management Districts are delineated, geographical sections of the State that have similarities in biological and geophysical characteristics. Factors such as geographical location (western mountains vs. downeast coastal plain), soils, predominant forest types (northern hardwoods vs. spruce-fir), seasonal temperature variations, precipitation including annual snowfall, land use (northern forest vs. agricultural), and human population and development, etc., are variables that ultimately influence habitat and the abundance and diversity of wildlife. For each WMD, we made a concerted effort to select clearly recognizable physical boundaries to reduce confusion for hunters. Identification of Wildlife Management Districts benefits MDIFW and hunters in several ways. It helps biologists collect and evaluate data and fine-tune management recommendations. Hunters need refer to only one common set of boundaries for all species they pursue. We use all WMDs individually for managing deer. For other game, WMDs are combined, as needed, to form meaningful hunting zones.In 2000, the Maine Department of Inland Fisheries and Wildlife (MDIFW) undertook an effort to reduce the confusion of having different hunting zones for deer, moose, turkey, and waterfowl by designing a zoning system that met the management requirements for all species, while unifying boundary lines. As a result of that effort, Maine was divided into 30 parcels, and the term Wildlife Management Districts (WMDs) was born. Some of the boundaries of the Wildlife Management Districts were changed in 2006. There are now only 29 districts. In 2014, MDIFW again updated the WMD boundary written descriptions to reflect changes in road names and to correct other errors. The dataset was re-digitized using aerial imagery to reflect the description updates and to more accurately reflect the boundaries. Wildlife Management Disctricts are delineated, geographical sections of the State that have similarities in biological and geophysical characteristics Maine Department of Inland Fisheries and Wildlife MaineMaineIFWMDIFWMaine Department of Inland Fisheries and WildlifeWildlife ManagementHuntinggeolibraryWMDboundaries -71.16694772785496 -66.76162606007651 42.94317580149655 47.46011458965601 2018-11-13T10:53:47.843-05:00 2018-11-13T10:53:49.651-05:00 State of Maine These boundaries are for reference purposes only. For precise boundary delineation, please refer to the written boundary description. Boundaries and imagery may not overlay precisely due to digitizing error, differences in projections, and the scale at which these boundaries were drawn. Where any discrepancies occur between a mapped feature and the written description, the written description takes precedence. These data are provided by the Maine Department of Inland Fisheries and Wildlife solely for individual use or the use of a company for the purpose stated in your request for the data. These data may not be distributed or sold to other users without the written permission of the Commissioner of the Department of Inland Fisheries and Wildlife. Boundary lines should not be used for legal purposes. AF https://gis.maine.gov/arcgis/rest/services/ifw/Wildlife_Mgmt_Districts/MapServer FGDC CSDGM Metadata 2018-11-09 14103800 2019-11-26 11:53:39.33 TRUE 1.0 FGDC editor:esri.dijit.metadata.editor 2018-11-13 2909548cf31c405cb331a064c832d7f9 Jason Czapiga Maine Department of Inland Fisheries and Wildlife GIS Coordinator jason.czapiga@maine.gov 650 State Street Bangor Maine 04401 US 207-561-5620 207-941-4450 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