| Section 1 | Overview | |||
| Originator | Natural Resources Research Institute, University of Minnesota | |||
| Title | Minnesota Restorable Wetland Decision Support - Viability | |||
| Abstract | Wetland restoration success is significantly affected by several factors and many of these same factors affect the persistence of functioning wetlands. The viability layer allows users to prioritize wetland viability by prioritizing target areas based on topography, land ownership, network position, and soil types. The index is a grid (30 meter resolution) that was developed using the following GIS inputs:
- 2008 GAP Stewardship - public and private land ownership - National Elevation Dataset (NED) 10 meter Digital Elevation Model (DEM) derived Compound Topographic Index (CTI) - topography - Soil Survey Geographic (SSURGO) - hydric soils classifications - MNDNR lakeshed autocatchments - network position - 2011 National Land Cover Dataset (2011 NLCD) - upland and wetland land covers The inputs were combined into a single Viability score through an expert panel weighting process. The influence of the surrounding natural landscape on viability was also addressed. The relative influence of the different natural upland and wetland land covers were weighted for the following landscape positions: Immediate influences The immediate land characteristics at the restoration site can influence a wetland restoration at many different levels including the feasibility of constructing the wetland (i.e. some level of urban development), the initial stress at the site (cultivated crops or high intensity development, population density, etc), the long term viability of the wetland (hydric soil classification, ownership, topography) , and the potential benefits resulting from restoration (habitat potential or water quality risk). Direct distances The direct distance to certain land covers can also impact wetlands. For instance, roads can impact water quality through runoff and erosion and habitat through wildlife mortality. Alternatively nearby wetlands can influence water quality and habitat through hydrologic connectivity. Biodiversity can also be influenced through see dispersal and population migration. Focal density Along with the immediate surroundings the larger neighboring area can also play a role in defining the ultimate characteristics of a restored wetland. Higher densities of developed or agricultural land covers can influence water quality and habitat. Higher densities of public ownership might reduce the likelihood of current natural upland and wetland areas from being developed. Upstream influences Restorable wetland locations are also influenced by their upstream areas including both the amount of upstream area and the types of upstream land covers. Spatial influences for both the natural upland and natural wetland land covers (2011 NLCD) were accounted for. Funding The development of this data was supported through the Clean Water, Land and Legacy Amendment. | |||
| Purpose | The Viability decision layer was developed with the purpose of predicting areas that are most likely to remain a high functioning wetlands long into the future). The decision layer predicts relative viability across the entire Minnesota extent. | |||
| Time Period of Content Date | 06/30/2014 | |||
| Currentness Reference | ||||
| Progress | Complete | |||
| Maintenance and Update Frequency | None Planned | |||
| Spatial Extent of Data | ||||
| Bounding Coordinates | -97.555013 -89.102809 49.550264 43.267894 | |||
| Place Keywords | ||||
| Theme Keywords | Restorable wetlands, viability, landscape | |||
| Theme Keyword Thesaurus | ||||
| Access Constraints | ||||
| Use Constraints | ||||
| Contact Person Information | Catalog Manager,
Natural Resources Research Institute, University of Minnesota 5013 Miller Trunk Highway Duluth, MN 55803 Phone: 218-788-2694 Email: nrri-gis@d.umn.edu | |||
| Browse Graphic | None available | |||
| Associated Data Sets | ||||
| Section 2 | Data Quality | |||
| Attribute Accuracy | ||||
| Logical Consistency | ||||
| Completeness | ||||
| Horizontal Positional Accuracy | ||||
| Lineage | ||||
| Section 3 | Spatial Data Organization (not used in this metadata) | |||
| Section 4 | Coordinate System | |||
| Horizontal Coordinate Scheme | Universal Transverse Mercator | |||
| UTM Zone Number | 15 | |||
| Horizontal Datum | NAD83 | |||
| Horizontal Units | meters | |||
| Cell Width | 30 | |||
| Cell Height | 30 | |||
| Section 5 | Attributes | |||
| Overview | ||||
| Detailed Citation | ||||
| Table Detail: | ||||
| Section 6 | Distribution | |||
| Publisher | Natural Resources Research Institute, University of Minnesota | |||
| Publication Date | 06/30/2014 | |||
| Contact Person Information | Catalog Manager,
Natural Resources Research Institute, University of Minnesota 5013 Miller Trunk Highway Duluth, MN 55803 Phone: 218-788-2694 Email: nrri-gis@d.umn.edu | |||
| Distributor's Data Set Identifier | ||||
| Distribution Liability | ||||
| Ordering Instructions | ||||
| Online Linkage | None available | |||
| Section 7 | Metadata Reference | |||
| Metadata Date | 06/30/2014 | |||
| Contact Person Information | Catalog Manager,
Natural Resources Research Institute, University of Minnesota 5013 Miller Trunk Highway Duluth, MN 55803 Phone: 218-788-2694 Email: nrri-gis@d.umn.edu | |||
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| Metadata Standard Online Linkage | ||||