Planning Area
Planning Area Boundary
Fill Opacity
Boundary Opacity
Counties
County Boundaries
Fill Opacity
Boundary Opacity
Township
Township Boundaries
Fill Opacity
Boundary Opacity
Major Watershed (HUC 8)
Major Watershed HUC 8 Boundaries
Fill Opacity
Boundary Opacity
HUC 10
HUC 10 Boundaries
Fill Opacity
Boundary Opacity
HUC 12
HUC 12 Boundaries
Fill Opacity
Boundary Opacity
Zones
Lakes
Farmed
Minnesota River
Fill Opacity
Boundary Opacity
DWSMA Vulnerability
Very High
High
Moderate
Low
Very Low
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Well Head Protection Areas
Well Head Protection Areas
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Bedrock Surface Pollution Sensitivity
Very High
High
Moderate
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Nitrate Rates by Township
Percent of Wells ≥10mg/L Nitrate-N
< 5%
5 < 10%
≥ 10%
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Pollution Sensitivity of Near-Surface Materials
Bedrock at or near surface
High
Moderate
Low
Very Low
Water
Opacity
Change to Gradient Color Schema
**Only showing values: Very Low - High
100 Year Flood Plain
100 Year Flood Area
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Altered Watercourse
Altered
Natural
Impounded
No Definable Channel
Opacity
Change to Gradient Color Schema
**Only showing value: Altered
NWI
Freshwater Emergent Wetland
Freshwater Forested/Shrub Wetland
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Public Waters
Public Waters
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Public Ditches
Public Ditches (16.5ft and 50ft)
Opacity
Change to Gradient Color Schema
Restorable Wetland Inventory
Restorable Wetland Inventory
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Impaired Streams (Proposed)
Impaired Streams (Proposed)
Opacity
Change to Gradient Color Schema
Impaired Lakes (Proposed)
Impaired Lakes (Proposed)
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Assessed Waters 2018 - Streams
Fully Supported
Insufficient Data
Not Supporting
Not Assessed
Opacity
Assessed Waters 2018 - Lakes
Fully Supported
Insufficient Data
Not Supporting
Not Assessed
Fill Opacity
Boundary Opacity
Lake Phosphorus Sensitivity Significance
Highest
Higher
High
Impaired
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
**Only showing values: High - Highest
HSPF TSS
Ton/Acre
0.00 - .05
0.06 - 0.50
0.51 - 1.00
1.01 - 2.50
2.51 - 12.25
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
HSPF TN
Lb/Acre
0.00 - 5.00
5.01 - 10.00
10.01 - 15.00
15.01 - 20
> 20
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
HSPF TP
Lb/Acre
0.17 - 0.29
0.30 - 0.43
0.44 - 0.61
0.62 - 1.61
1.62 - 5.67
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
HSPF Discharge
Acre Ft
0.28 - 0.33
0.34 - 0.41
0.42 - 0.51
0.51 - 0.73
0.74 - 0.98
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Trout Streams
Trout Streams
Opacity
Change to Gradient Color Schema
Native Prairies
Native Prairies
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Native Plant Communities
Native Plant Communities
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
MBS Sites of Biodiversity Significance
Outstanding
High
Moderate
Below
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
**Only showing values: Moderate - Outstanding
GAP DNR Lands
DNR Lands
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
GAP State Lands
State Lands
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
GAP County Lands
County Lands
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
GAP Federal Lands
Federal Lands
Fill Opacity
Boundary Opacity
Change to Gradient Color Schema
Easements
Easements
Fill Opacity
Boundary Opacity
NLCD 2016
Open Water
Developed, Open Space
Developed, Low Intensity
Developed, Medium Intensity
Developed, High Intensity
Barren Land
Deciduous Forest
Evergreen Forest
Mixed Forest
Shrub/Scrub
Herbaceuous
Hay/Pasture
Cultivated Crops
Woody Wetlands
Emergent Herbaceuous Wetlands
Opacity
GSSURGO
A
A/D
B
B/D
C
C/D
D
Fill Opacity
Boundary Opacity
Bio Index Mean
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
Fill Opacity
Boundary Opacity
Con Index Mean
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
Fill Opacity
Boundary Opacity
Hyd Index Mean
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
Fill Opacity
Boundary Opacity
Geo Index Mean
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
Fill Opacity
Boundary Opacity
Water Quality Index Mean
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
Fill Opacity
Boundary Opacity
Combined Index Mean
0-10
11-20
21-30
31-40
41-50
51-60
61-70
71-80
81-90
91-100
Fill Opacity
Boundary Opacity
Wildlife Habitat Quality Risk
Opacity
Environmental Benefits Index
Opacity
Water Quality Risk
Opacity
Soil Erosion Risk
Opacity
DNR Lake Habitat Strategy
Vigilance
Needs Protection
Full Restoration
Partial Restoration
Fill Opacity
Boundary Opacity
Planning Area Mask
Mask
Fill Opacity
Publication: 2013
More information: https://files.dnr.state.mn.us/fish_wildlife/fisheries/habitat/fishhabitatplan.pdf
Source: MN Department of Health
Description: Drinking water supply management area (DWSMA) vulnerability is an assessment of the likelihood for a potential contaminant source within the drinking water supply management area to contaminate a public water supply well based on the aquifer's inherent geologic sensitivity; and the chemical and isotopic composition of the groundwater.
Publication: 07/15/2019
More information: https://www.health.state.mn.us/communities/environment/water/swp/maps/index.html
Source: MN Department of Health
Description: Wellhead Protection Area (WHPA) is the Minnesota Department of Health (MDH) approved surface and subsurface area surrounding a public water supply well or well field that supplies a public water system, through which contaminants are likely to move toward and reach the well or well field.
Publication: 07/15/2019
More information: https://gisdata.mn.gov/dataset/activity/water-wellhead-protection-areas
Source: Minnesota Department of Natural Resources (DNR), Ecological and Water Resources Division, County Geologic Atlas Program
Description: Pollution Sensitivity of the Bedrock Surface characterizes the relative rate of vertical travel time of a contaminant that moves conservatively with or within water from the land surface to the buried bedrock surface. Legacy maps from the County Geologic Atlas program were used and modified to reflect the bedrock surface since some legacy maps were created for specific units or aquifers. These data will be updated with every new atlas.
Publication: 02/11/2016
More information: https://www.dnr.state.mn.us/waters/programs/gw_section/mapping/platesum/mha_ps-bs.html
Source: MN Department of Agriculture
Publication: 2019
More information: https://www.mda.state.mn.us/township-testing-program
Source: Minnesota Department of Natural Resources, County Geologic Atlas Program
Description: This dataset estimates the pollution sensitivity of near-surface materials from the transmission time of water through 3 feet of soil and 7 feet of surficial geology, to a depth of 10 feet from the land surface.
Publication: 10/31/2018
Source: Federal Emergency Management Agency (FEMA)
Description: The Federal Emergency Managment Agency and the MNDNR produce Digital Flood Insurance Rate Maps (DFIRM) for selected counties in the state. These maps are often referred to as FEMA Floodplain maps.
A DFIRM is the offical digital map of a community on which FEMA has delineated the special flood hazard areas, i.e., the floodplain areas where flood insurance is required for loans and where communities will administer floodplain regulations. (Note: Communities may regulate additional flood prone areas that are not on the FIRM).
Publication: 07/12/2018
Source: Minnesota Geospatial Information Office (MnGeo) for the Minnesota Pollution Control Agency
Description: The Altered Watercourse Project was a joint effort between the Minnesota Pollution Control Agency (MPCA) and Minnesota Geospatial Information Office (MnGeo) to create a statewide inventory of streams that have been hydrologically altered (e.g. channelized, ditched or impounded). The dataset was created to support MPCA's water quality monitoring and assessment program and provides information about stream habitats that have been compromised through such alteration.
The project entailed digitization of Geographic Information System (GIS) 'events' on to the United States Geological Survey's National Hydrography Dataset (NHD) stream linework. The events were then categorized as one of four types: Altered, Natural, Impounded, or No definable channel, based upon a standardized methodology and criteria. These categorizations were performed manually by GIS technicians using visible interpretation of multiple years of aerial photography, LiDAR (Light Detection And Ranging)-based elevation data, and various other reference data in ArcGIS 10.0.
Beginning in 2018, some custom linework was added to the dataset to represent streams that were not present in the NHD. These custom line features do not have a Reachcode, and have a note in the Permanent ID field and the Source Feature ID. These line features will be incorporated into the NHD in the future.
Publication: 2018
More information: http://www.mngeo.state.mn.us/ProjectServices/awat/index.html
Source: US Fish and Wildlife Service
Description: Geospatial Wetlands Digital Data within the continental United States in Open GIS Consortium (OGC) Web Map Service format. This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands.
Publication: 7/31/2009
Source: Minnesota Department of Natural Resources (DNR) - Ecological and Water Resources Division
Description: These data represent public waters and public ditches that require permanent vegetation buffers or alternative riparian water quality practices. The buffer map data comprise two geographical feature classes: one linear feature class for watercourses and one polygonal feature class for lakes, reservoirs and wetlands. The attribute for the buffer width requirement is derived from three different classification attributes: (1) the Minnesota DNR's Public Waters Inventory classification, (2) the DNR assigned shoreland classification, and (3) public open drainage system data (also referred to as open ditches) established under Minnesota Statute (M.S.) 103E and provided by local drainage authorities. The DNR Commissioner has validated the authenticity of this map for purposes described in M.S. 103F.48.
Public waters are all lakes, wetlands and watercourses that meet the criteria set forth in M.S. 103G.005, subd. 15 and are designated on public waters inventory maps. Public water wetlands without DNR shoreland classifications are excluded from the buffer map. The DNR coordinated with counties and watershed districts to identify public ditches that require a buffer.
The buffer protection map helps landowners identify buffer protection requirements, under Minnesota's Buffer Law. Public ditches require a 16.5-foot buffer and public waters require a 50-foot average buffer; public ditches that are also public watercourses require a 16.5-foot buffer unless the DNR assigned a specific shoreland classification, in which case a 50-foot average buffer is required. Local ordinances may require wider buffers. This map displays minimum standards and is not intended to affect existing local controls that are more restrictive than these requirements. Furthermore, the buffer map does not depict "other waters" to be addressed by local water plans and does not identify locations where local Soil and Water Conservation Districts (SWCDs) have selected an alternate water quality practice
Publication: 08/21/2018
More information: https://www.dnr.state.mn.us/buffers/index.html
Source: Minnesota Department of Natural Resources (DNR) - Ecological and Water Resources Division
Description: These data represent public waters and public ditches that require permanent vegetation buffers or alternative riparian water quality practices. The buffer map data comprise two geographical feature classes: one linear feature class for watercourses and one polygonal feature class for lakes, reservoirs and wetlands. The attribute for the buffer width requirement is derived from three different classification attributes: (1) the Minnesota DNR's Public Waters Inventory classification, (2) the DNR assigned shoreland classification, and (3) public open drainage system data (also referred to as open ditches) established under Minnesota Statute (M.S.) 103E and provided by local drainage authorities. The DNR Commissioner has validated the authenticity of this map for purposes described in M.S. 103F.48.
Public waters are all lakes, wetlands and watercourses that meet the criteria set forth in M.S. 103G.005, subd. 15 and are designated on public waters inventory maps. Public water wetlands without DNR shoreland classifications are excluded from the buffer map. The DNR coordinated with counties and watershed districts to identify public ditches that require a buffer.
The buffer protection map helps landowners identify buffer protection requirements, under Minnesota's Buffer Law. Public ditches require a 16.5-foot buffer and public waters require a 50-foot average buffer; public ditches that are also public watercourses require a 16.5-foot buffer unless the DNR assigned a specific shoreland classification, in which case a 50-foot average buffer is required. Local ordinances may require wider buffers. This map displays minimum standards and is not intended to affect existing local controls that are more restrictive than these requirements. Furthermore, the buffer map does not depict "other waters" to be addressed by local water plans and does not identify locations where local Soil and Water Conservation Districts (SWCDs) have selected an alternate water quality practice
Publication: 08/21/2018
More information: https://www.dnr.state.mn.us/buffers/index.html
Source: Restorable Wetlands Working Group
Description: Merged version of the Restorable Wetland Inventory downloaded from the Ducks Unlimited site 10/10/2019 by county
Publication: Downloaded on 10/10/2019
More information: https://www.ducks.org/conservation/geographic-information-systems/minnesota-restorable-wetlands
Source: Minnesota Pollution Control Agency
Description: This is a set of the impaired lakes as determined by MPCA's surface water quality assessment proposed process for the 2018 reporting cycle to US Environmental Protection Agency (EPA). Lakes declared impaired prior to 2018 are also included in this dataset unless they have been delisted. EPA evaluates the list and either approves it as-is or modifies it, which may result in changes to this spatial data.
Note that for the purpose of submitting the impaired waters list to EPA, waterbodies partially or wholly within Indian reservation boundaries are published in separate datasets. The MPCA still considers these waters impaired and has an interest in restoring them. The MPCA respectfully requests that the waters partially or wholly within Indian reservations be symbolized differently on map products so that viewers can differentiate them from waters not intersecting Indian reservations.
These lakes are a subset and enhancement of the 1:24,000 scale National Hydrography Dataset (NHD). In cases where the NHD does not include lakes that MPCA has assessed, additional lakes from the MN Department of Natural Resources (DNR) Division of Waters lakes database are added. Since the impaired lakes are a small subset of the NHD and DNR lakes, only that subset is included in the dataset. This dataset includes impaired lakes which have not yet had a TMDL plan approved by the US EPA, those that have a US EPA approved TMDL plan as well as those lakes that do not need a TMDL plan.
Publication: 04/03/2018
Source: The Duck Unlimited
Description: Merged version of the Restorable Depression Wetland Inventory downloaded from the Duck Unlimited site 10/10/2019 by county
Publication: Downloaded on 10/10/2019
More information: https://www.ducks.org/conservation/geographic-information-systems/minnesota-restorable-wetlands
Source: Minnesota Pollution Control Agency
Description: This is a proposed set of the waterbodies assessed by MPCA's surface water quality assessment process for the 2018 303(d)/305(b) integrated report to EPA. EPA approved the data without requesting any changes in January, 2019.
Publication: 02/06/2019
More information: ftp://ftp.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_pca/env_assessed_water_2018/metadata/metadata.html
Source: Minnesota Department of Natural Resources (DNR) - Ecological and Water Resources (EWR)
Description: This layer was created to identify Lakes of Phosphorus Sensitivity Significance (LPSS) within Minnesota. Available lake data were analyzed to classify lakes based on sensitivity to nutrient pollution.
Phosphorus sensitivity was estimated for each lake by predicting how much water clarity would be reduced with additional phosphorus loading to the lake. A phosphorus sensitivity significance index was formulated to prioritize lakes as they relate to Minnesota Pollution Control Agency's (MPCA) policy objective of focusing on high quality, unimpaired lakes at greatest risk of becoming impaired. The phosphorus sensitivity significance index, which is a function of phosphorus sensitivity, lake size, lake total phosphorus concentration, proximity to MPCA's phosphorus impairment thresholds, and watershed disturbance, was used to determine the lake's Priority Class.
The goal of this list was to objectively prioritize lakes based on their sensitivity to phosphorus pollution. Lakes identified as nutrient-impaired or proposed for nutrient impairment listing are also included.
Publication: 2018
More information: https://gisdata.mn.gov/dataset/water-dnr-hydrography
Source: Minnesota Pollution Control Agency
Description: Values were extracted from HSPF-SAM models of the Hawk Creek/Yellow Medicine Watershed and the Middle Minnesota River Wateshed.
Publication: Accessed November 2019
Source: Minnesota Pollution Control Agency
Description: Values were extracted from HSPF-SAM models of the Hawk Creek/Yellow Medicine Watershed and the Middle Minnesota River Wateshed.
Publication: Accessed November 2019
Source: Minnesota Pollution Control Agency
Description: Total phosphorus values were extracted from HSPF-SAM models of the Hawk Creek/Yellow Medicine Watershed and the Middle Minnesota River Wateshed.
Publication: Accessed November 2019
Source: Minnesota Pollution Control Agency
Description: Values were extracted from HSPF-SAM models of the Hawk Creek/Yellow Medicine Watershed and the Middle Minnesota River Wateshed.
Publication: Accessed November 2019
Source: Minnesota Department of Natural Resources (MNDNR)
Description: This layer shows legally designated trout streams and trout stream tributaries as identified in Minnesota Rules Chapter 6264. See http://www.revisor.leg.state.mn.us/arule/6264/0050.html for legal descriptions and restrictions associated with designated trout waters.
This data set includes designated trout streams and their protected tributaries only. Users are encouraged to use the full resolution Stream Routes with Kittle Numbers and Mile Measures layer ( http://gisdata.mn.gov/dataset/water-measured-kittle-routes ) as a base layer to visualize all streams (designated and not) to fully understand hydrological connectivity and impacts to trout resources.
Designated segments are maintained as tabular data and displayed as linear events on the Stream Routes with Kittle Numbers and Mile Measures layer ( http://gisdata.mn.gov/dataset/water-measured-kittle-routes ). In the attribute table, designated segments extend from the FROM_MEAS (mile) to the TO_MEAS (mile) and have a total length = [LENGTH_MI] on a route with total length = [ROUTE_MI].
Publication: 06/21/2018
Source: Minnesota Department of Natural Resources (DNR)
Description: Native prairie polygons are a subset of a larger database of DNR Native Plant Communities and are the result of that classification system and protocol.
As a subset of the DNR Native Plant Communities dataset, this dataset contains selected native plant community classifications (prairies) that result from the Minnesota Biological Survey (MBS), State Park land cover data, Forestry native plant community data, and Wildlife Management Areas land cover data. It includes polygons representing the highest quality native prairie communities remaining in surveyed areas. These native prairie communities are important areas for conservation.
Native plant communities (sometimes also referred to as "natural communities") are groups of native plants that interact with each other and their surrounding environment in ways not greatly altered by modern human activity or by introduced plant or animal species. These groups of native species form recognizable units, such as an oak forest, a prairie, or a marsh, that tend to repeat across the landscape and over time.
Native plant communities are generally classified and described by considering vegetation, hydrology, land forms, soils, and natural disturbance regimes. The native plant community types and subtypes in this data layer are classified primarily by vegetation and major habitat features.
Areas that are not mapped as native plant community polygons primarily represent: 1) land where modern human activities such as farming, overgrazing, wetland drainage, recent logging and residential and commercial development have destroyed or greatly altered the natural vegetation; and 2) native plant community polygons that were below minimal size criteria.
Note: some areas that are not mapped are important for conservation. They may include habitat for native plants and animals, corridors for animal movement, buffers surrounding high quality natural areas and open space, and target areas for restoration.
Publication: 10/03/2019
Source: Minnesota Department of Natural Resources (MNDNR)
Description: This dataset contains results of the Minnesota Biological Survey (MBS), State Park land cover data, Forestry native plant community data, and Wildlife Management Areas land cover data. It includes polygons representing the highest quality native plant communities remaining in surveyed areas (typically counties). These native plant communities are important areas for conservation.
Native plant communities (sometimes also referred to as "natural communities") are groups of native plants that interact with each other and their surrounding environment in ways not greatly altered by modern human activity or by introduced plant or animal species. These groups of native species form recognizable units, such as an oak forest, a prairie, or a marsh, that tend to repeat across the landscape and over time.
Native plant communities are generally classified and described by considering vegetation, hydrology, land forms, soils, and natural disturbance regimes. The native plant community types and subtypes in this data layer are classified primarily by vegetation and major habitat features.
Areas that are not mapped as native plant community polygons primarily represent: 1) land where modern human activities such as farming, overgrazing, wetland drainage, recent logging and residential and commercial development have destroyed or greatly altered the natural vegetation; and 2) native plant community polygons that were below minimal size criteria.
Note: some areas that are not mapped are important for conservation. They may include habitat for native plants and animals, corridors for animal movement, buffers surrounding high quality natural areas and open space, and target areas for restoration.
Publication: 10/22/2019
Source: The Minnesota Biological Survey, Minnesota Department of Natural Resources, Division of Ecological Resources
Description: This data layer represents areas with varying levels of native biodiversity that may contain high quality native plant communities, rare plants, rare animals, and/or animal aggregations. Initially, boundaries of sites are determined by review of aerial photography in order to identify potential areas of native biodiversity based on native vegetation. In subsequent field investigations, MBS assesses the ecological characteristics of the site and the presence of rare species. A biodiversity significance rank is assigned on the basis of the number of rare species, the quality of the native plant communities, size of the site, and context within the landscape. Following field investigations, site boundaries sometimes are revised, or sites added, to incorporate critical habitat for rare plants and rare animals. In these instances, the quality of native plant communities is not the primary criteria for ranking the site. MBS Sites that are found to be disturbed are retained in the layer as negative data and are given the Biodiversity Significance rank of "Below." Those disturbed areas within MBS Sites and all areas outside MBS Sites are lands where native plant communities have been seriously altered or destroyed by human activities such as farming, recent logging, draining, and development.
Publication: 06/20/2019
Source: Minnesota DNR - Division of Fish & Wildlife - Wildlife Unit
Description: This is the complete GAP Stewardship database containing land ownership information for the entire state of Minnesota. These lands are managed for a variety of economic, environmental, and recreational uses. Attribute fields describe ownership, administrator, and conservation management code. The base cartography is derived from mathematically subdivided PLS sections. The forty acre polygons have been dissolved on the ownership values in the attribute table. Ownership reflects surface features only. Ownership is only as current as the source information and should not be considered comprehensive for the entire state. Conservation management codes are based upon the owning or administrating entity. Land interest is expressed only when some organization owns or administers more than 50 percent of a forty except where we were able to create sub-fourty accuracy stewardship polygons. Lakes have been assigned to the adjacent or underlying land steward.
DNR Divisions Shown: Ecological Services, Enforcement, Fish and Wildlife, Forestry, Lands and Minerals, Parks and Recreation, Trails and Waterways, Waters and Minnesota DNR Undifferentiated
State Departments Shown: Agriculture, Corrections, Military Affairs, Transportation and State Undifferentiated
County Agencies Shown: County, County Admin/State Forest, County Admin/State Owned and County Admin/State Park.
Federal Agencies Shown: U.S. Army Corps of Engineers, U.S. Department of Agriculture, U.S. Forest Service, U.S. Fish and Wildlife Services, U.S. Park Service, Bureau of Indian Affairs, Bureau of Land Management and Farmers Home Administration.
Publication: 2018
Source: Minnesota Board of Water and Soil Resources (BWSR)
Description: Conservation easements are a critical component of the state’s efforts to improve water quality by reducing soil erosion, phosphorus and nitrogen loading, and improving wildlife habitat and flood attenuation on private lands. Easements protect the state’s water and soil resources by permanently restoring wetlands, adjacent native grassland wildlife habitat complexes and permanent riparian buffers. In cooperation with county Soil & Water Conservation Districts (SWCDs), BWSR's easement programs compensate landowners for granting conservation easements and establishing native vegetation habitat on economically marginal, flood-prone, environmentally sensitive or highly erodible lands.
Publication: 02/06/2019
Source: U.S. Geological Survey
Description: The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011.These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year intervals. Comprehensive research was conducted and resulted in developed strategies for NLCD 2016: a streamlined process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a multi-source integrated training data development and decision-tree based land cover classifications; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a hierarchical theme-based post-classification and integration protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and an automated scripted operational system for the NLCD 2016 production. The performance of the developed strategies and methods were tested in twenty World Reference System-2 path/row throughout the conterminous U.S. An overall agreement ranging from 71% to 97% between land cover classification and reference data was achieved for all tested area and all years. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2016 operational mapping.
Publication: 2016
Source: Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Minnesota. United States Department of Agriculture, Natural Resources Conservation Service.
Description: This dataset is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information.This dataset consists of georeferenced digital map data and computerized attribute data. The map data are in a state-wide extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties
Publication: 11/29/2016
Source: Minnesota Department of Natural Resources (DNR)
Description: The Watershed Health Index approach identifies and analyzes data that characterizes the principal components of watershed health at the Major Watershed and Catchment scales. For each of the principal components (Geomorphology, Connectivity, Hydrology, Biology, and Water Quality) indices and underlying metrics have been developed that describe the relative health of the system. The generated values are scaled from 0 to 100 to provide a statewide comparable index of relative health risk.
Publication: 04/14/2016
More information: https://www.dnr.state.mn.us/whaf/about/scores/index.html
Source: BWSR
Description: This Environmental Benefits Index (EBI) is a score of multiple ecological benefits on a 0-300 scale, 300 being the most valuable from a conservation perspective. It combines a soil erosion risk layer, water quality risk layer, and a wildlife habitat quality layer all scored 100 points each
Source: BWSR
Description: This data layer represents a general score for wildlife habitat quality on a 0-100 point scale, 100 being the highest risk. Larger values indicate higher potential wildlife habitat quality. The habitat mapping used in this plan was updated from the work done as part of Minnesota's Statewide Conservation and Preservation Plan. The primary goal of habitat mapping was to collate the available information for Minnesota that can be used to prioritize important areas for conservation (protection, acquisition, restoration) by integrating both positive (resources) and negative (threats to resources) information on biodiversity, habitat quality, outdoor recreation (e.g., hunting and fishing), and water quality. Positive components included features such as known occurrences of rare species, sites of biodiversity significance, or high levels of game species abundance, while negative components included the dominant drivers of environmental change as identified in Phase I of the plan. Negative influences on natural resources included such information as human development, land use, and road density. By acquiring and objectively processing information related to these components, it was possible to rank areas in Minnesota according to their conservation priority.
Source: BWSR
Description: This data layer represents a general risk score for potential soil erosion on a 0-100 point scale, 100 being the highest risk. Larger values indicate soils that have a higher potential to erode if no conservation practices were in place and overland sheet or rill runoff was present. A subset of the Universal Soil Loss Equation (USLE) was used to determine potential erosion values. The USLE is a multiplicative equation using the formula A =R x K x LS x C x P where: " A = potential long term average annual soil loss in tons/acre/year. " R = rainfall and runoff factor " K = soil erodibility factor " LS = slope length-gradient factor " C = crop/vegetation and management factor " P = support practice factor The R (Rainfall), K (Soil Erodibility), and LS (Length/Slope) factors were used and calculated based on NRCS spatial and tabular SSURGO soils data, statewide county based climate maps, as well as mathematical formulas based on standard USLE calculations. SSURGO stands for Soil Survey Geographic Database. The crop/vegetation and management factor and support practice factor were not used. This is because there are no reliable statewide spatial data that represent these factors. Although there exist statewide data depicting current cropping practices, there are no statewide data representing current tillage methods (e.g. fall plow, ridge tillage, no-till) or support practice (e.g. cross slope, contour farming, strip cropping) that are required for these calculations. Furthermore these factors are temporal and will therefore shift over time. Since only non-management factors were used, the resulting data layer should be viewed as a "worst-case" scenario, i.e. highest potential soil erosion of bare soil with no mitigating land use practices in place. Although quantitative soils loss numbers (tons/acre/year) may be exaggerated under this model, the resulting data layer is used here in a qualitative, comparative capacity in order to compare the relative differences in soil loss risk between various parts of the landscape.
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