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These data represent 1 sq. mile Hexagons and are derived from the Western Governors Association Crucial Habitat Assessment Tool. The hexagons have been attributed with summary values from the datasets described above. Field names correspond to the number datasets above as follows: {1:’wetland_deds’, 2:’wetland_ceds’, 3:’cropland_ceds’, 4:’lasp_grsp_casp_suit’, 5:’lasp_grsp_suit’, 6:’riparian_suit’, 7:’mean_sat_thick_ft’, 8:’tillage_suit’, 9:’wind_suit’, 10:’ann_aq_deplet_ft’, 11:’wetland_deds_2040’, 12:’wetland_ceds_2040’, 13:’lbgrasslands_2017’, 14:’lbgrasslands_2022’, 15:’lbgrasslands_2027’, 16:’mean_sat_thick_2050_ft’, 17:’tillage_suit_2050’}. Zonal statistic attribution methods are as follows: {1:’SUM’, 2:’SUM’,...
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OGC WFS Layer,
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Tags: 2014,
Consevation design,
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EARTH SCIENCE SERVICES > MODELS > CLIMATE CHANGE IMPACT ASSESSMENT MODELS, All tags...
Federal resource managers,
Great Plains Landscape Conservation Cooperative,
LCC,
LCC Network Science Catalog,
Policy makers & regulators,
Regional & county planners,
State agencies,
completed,
data.gov Great Plains LCC,
environment,
environment, Fewer tags
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The tillage suitability product is a per-crop, per-pixel (30 square-meters) model representation of the predicted probability (0.00-1.00) that an area can support commodity crop development for a suite of crop types commonly grown in the LCD landscape. The values for each grid cell are interpreted as a probability, with any value greater-than 0.50 suggesting an area should be suitable for crop development based on observations of 2.5 million farmed areas around the LCD geography. To demonstrate composite suitability (“tillage”) for all crops, we added the individual probabilities for our modeled from cover classes (cereals, corn, cotton, and beans), which represents the overall proportion of votes for “crop” vs....
Categories: Data;
Tags: 2014,
Consevation design,
Data,
Datasets/Database,
EARTH SCIENCE SERVICES > MODELS > CLIMATE CHANGE IMPACT ASSESSMENT MODELS, All tags...
Federal resource managers,
Great Plains Landscape Conservation Cooperative,
LCC,
LCC Network Science Catalog,
Policy makers & regulators,
Regional & county planners,
State agencies,
completed,
data.gov Great Plains LCC,
environment,
environment, Fewer tags
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These data represent areas defined as large block grasslands according to a model developed by PLJV (McLachlan 2008). The model is based on literature derived Lesser Prairie-Chicken habitat preferences and considers habitat composition within a 2,000 ha area. Any pixel with more than 58% grass, less than 36% cropland, less than 2% woodland/ shrubland, less than 5 % secondary roads, and no 4 lane roads within a 2,000 ha surrounding area is counted as a large block grassland pixel.
Categories: Data;
Tags: 2014,
Consevation design,
Data,
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EARTH SCIENCE SERVICES > MODELS > CLIMATE CHANGE IMPACT ASSESSMENT MODELS, All tags...
Federal resource managers,
Great Plains Landscape Conservation Cooperative,
LCC,
LCC Network Science Catalog,
Policy makers & regulators,
Regional & county planners,
State agencies,
completed,
data.gov Great Plains LCC,
environment,
environment, Fewer tags
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The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
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Tags: Colorado,
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Kansas,
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Texas,
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Wetlands, Fewer tags
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Habitat hotspots were mapped for migratory birds ‘guilds’ across the LCD region using species presence/absence data collected from citizen-science datasets and modelled habitat conditions from the LANDFIRE program (Rollins, 2009). For presence/absence data, we used the eBird Reference Dataset (ERD, accessed October 1st, 2016; summarized in Sullivan et al., 2009) to model guild-level response to prevailing vegetation structure (e.g., percent-cover grass, tree, shrub, vegetation height), topography, and water availability for priority migratory bird species outlined in the Rio Mora NWR Land Protection Plan. We parsed eBird species “checklists” for species observed within a ~ 500 kilometer radius of the Rio Mora NWR....
Categories: Data;
Tags: 2014,
CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
Consevation design,
Data,
Datasets/Database, All tags...
Federal resource managers,
Great Plains Landscape Conservation Cooperative,
LCC,
LCC Network Science Catalog,
Private land owners,
Regional & county planners,
State agencies,
completed,
data.gov Great Plains LCC,
environment,
environment, Fewer tags
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