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Estimated number of breeding pairs of Clay-colored sparrow based on the amount of grass, trees, and/or hay in the landscape. Landscape scale varied from 1/4- to 2-mile radius depending on the species. Pair estimates were calculated for grass patches >=1 ha, extrapolated to 40-ac cells, then smoothed by averaging over a 1-mile radius. Models were based on point count surveys conducted in 2003-2005 throughout the Tallgrass Prairie Pothole Region. Point count locations were stratified by cover type, the amount of grass in the landscape, and USFWS Wetland Management District boundaries. Landcover data were derived from 2000 Thematic Mapper imagery. Grid values = number of breeding pairs per 30-m pixel.
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Data layers portraying hydrogeomorphic evaluation of ecosystem restoration options for the Lower Missouri River Floodplain. Further information can be obtained at: http://www.fws.gov/midwest/planning/currentplans.html
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Predictions of the number of upland nesting duck pairs (mallards, blue-winged teal, gadwall, northern pintail, and northern shoveler) that could potentially nest in the upland habitats of every 40 acre block of the Prairie Pothole Region (PPR). These predictions are based on the known maximum travel distances of hens from wetlands to their nest sites, and regressions (statistical models) created from 4 square mile survey data predicting the number of duck pairs that utilize every individual wetland in PPR during a “typical” breeding season. GRID CODE = Number of Duck Pairs: 1 = 0-10; 2 = 11-20; 3 = 21-40; 4 = 41-60; 5 = 61-80; 6 = 81-100; 7 = >100.
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The Mississippi River Basin / Gulf Hypoxia Initiative (MRB/GHI), spearheaded by seven LCCs, is undertaking a strategic and transparent process to create an integrated framework that supports planning, design, configuration, and delivery of wildlife conservation practices within the watershed. This framework consists of multiple quantitative objectives representing three interests (i.e., wildlife, water quality, agriculture), a tiered set of conservation strategies to achieve those objectives within five production agriculture systems (i.e., corn & soybean; grazing lands; floodplain forest; rice; cotton), and a modeling approach to determine where to best implement those actions within four key ecological systems...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, 2014, 2015, AR-01, CO-04, All tags...
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This layer displays Conservation Opportunity Areas (COA’s), which are places in Pennsylvania that represent clusters of Species, as well as most critically imperiled plants and their associated habitats where collaborative conservation action should be targeted. The COAs are intended to complement, not replace, other conservation planning efforts, by providing specific recommendations focused on Species and their habitats.
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This layer depicts U.S. Forest Service ecological subsections, which were used to define potential geographic focus areas for the Montana Fish, Wildlife and Parks Wildlife Action Plan. Each subsection was ranked using both quantitative and qualitative criteria and using the ranks revised based on peer review and expert opinion. For methodology relating to this ranking please visit the Montana Comprehensive Fish and Wildlife Management Strategy website at http://fwp.mt.gov/specieshabitat/strategy/default.html.
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Conservation Opportunity Areas (COAs) are large, loosely defined, geographic areas within Mississippi that have been identified by MDWFP as priority areas for implementing conservation actions recommended in Mississippi’s State Wildlife Action Plan (SWAP). They may contain priority habitats or Species of Greatest Conservation Need (SGCN), represent areas that have unique habitats (e.g. prairies) within them but they are composed of many different habitats, or may have been chosen because they have a wide range of SGCN, or include areas that are particularly important to one SGCN.
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Predicted greater prairie chicken habitat - Iowa Wildlife Action Plan (2007). Landscape suitability was mapped by applying a model developed for Northwest Minnesota to the 2001 National Land Cover Data for Iowa. Logistic regression was used to compare landscape characteristics between booming grounds and random sites. The model is based on the assumption that areas classified as hayland are equivalent to grassland habitat. In addition to providing information about the Greater Prairie-Chicken, this map is included as a representation of the location of mid-grass habitat in amounts significant enough to support grassland species more generally. Model developed by USFWS.
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Low-lying areas (1-acre minimum) within the MRB/GHI Water Quality Priority Zone derived from 30-m NED DEM Topographic Position Index (180-m radius) values less than 1/4 standard deviation below the mean. Used as an aid in identifying wetland restoration potential.
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Estimated number of breeding pairs of Bobolink based on the amount of grass, trees, and/or hay in the landscape. Landscape scale varied from 1/4- to 2-mile radius depending on the species. Pair estimates were calculated for grass patches >=1 ha, extrapolated to 40-ac cells, then smoothed by averaging over a 1-mile radius. Models were based on point count surveys conducted in 2003-2005 throughout the Tallgrass Prairie Pothole Region. Point count locations were stratified by cover type, the amount of grass in the landscape, and USFWS Wetland Management District boundaries. Landcover data were derived from 2000 Thematic Mapper imagery. Grid values = number of breeding pairs per 30-m pixel.
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Landfire v.1.2.0 Biophysical Setting within the Mississippi River Basin. The Biophysical Settings (BpS) layer represents the vegetation that may have been dominant on the landscape prior to Euro-American settlement and is based on both the current biophysical environment and an approximation of the historical disturbance regime.
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Grassland priority conservation areas (GPCAs) within North America's Central Grasslands identified by the Commission for Environmental Cooperation of North America. GPCAs are defined as areas of tri-national importance due to their ecological significance and threatened nature, which are in need of international cooperation for their successful conservation.
map background search result map search result map Mississippi River Basin / Gulf Hypoxia Initiative Priority HUC-12 Watersheds - State Nutrient Reduction Strategies (GHTF) Grazing Production Region Upper Mississippi River Forest Partnership - Forest Conservation and Restoration Priorities Iowa - Greater Prairie Chicken Predicted Habitat Grassland Priority Conservation Areas (CEC) Lowlands Gridded SSURGO - Soil Organic Carbon (0-20 cm) HAPET - Breeding Duck Pairs (PPJV) HAPET Breeding Pairs - Clay-colored sparrow Production System Regions - Version 1 HAPET Breeding Pairs - Bobolink Landfire v.1.2.0 - Biophysical Setting (MRB) Indiana Special Projects and Initiatives - FY2106 NRCS EQIP Program Data - MRBI States (FY2009-2015) Lower Missouri River - Potential Natural Vegetation Mississippi Conservation Opportunity Areas Montana - Terrestrial Conservation Focus Areas Pennsylvania Conservation Opportunity Areas Iowa River Basin (HU4-0708) - Riparian Implementation Opportunities (2017) Iowa - Greater Prairie Chicken Predicted Habitat Indiana Special Projects and Initiatives - FY2106 Mississippi Conservation Opportunity Areas Pennsylvania Conservation Opportunity Areas Lower Missouri River - Potential Natural Vegetation HAPET Breeding Pairs - Clay-colored sparrow HAPET Breeding Pairs - Bobolink Montana - Terrestrial Conservation Focus Areas Upper Mississippi River Forest Partnership - Forest Conservation and Restoration Priorities Priority HUC-12 Watersheds - State Nutrient Reduction Strategies (GHTF) Grassland Priority Conservation Areas (CEC) NRCS EQIP Program Data - MRBI States (FY2009-2015) Lowlands Mississippi River Basin / Gulf Hypoxia Initiative Grazing Production Region Production System Regions - Version 1 Gridded SSURGO - Soil Organic Carbon (0-20 cm) HAPET - Breeding Duck Pairs (PPJV) Landfire v.1.2.0 - Biophysical Setting (MRB) Iowa River Basin (HU4-0708) - Riparian Implementation Opportunities (2017)