Filters: Tags: Great Plains Landscape Conservation Cooperative (X)
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This data set includes the relative production scenarios for eight (8) grass species based on linear models from Epstein, et al. (1998). We selected two indicator species for each community: shortgrass prairie: blue grama (Bouteloua gracilis; BOGR) and buffalo grass (Bouteloua dactyloides; BODA); mixedgrass prairie: sideoats grama (Bouteloua curtipendula; BOCU) and little bluestem (Schizachyrium scoparium; SCSC); tallgrass prairie: big bluestem (Andropogon gerardii; ANGE) and Indiangrass (Sorghastrum nutans; SONU); and semiarid grasslands: black grama (Bouteloua eriopoda; BOER) and tobosagrass (Pleuraphis mutica; PLMU). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided...
This data set includes the relative production scenarios for bufflaograss [0.72(Temp) - 0.12(Precip) - 0.04(Sand) + 3.08]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Great Plains Landscape Conservation Cooperative,
Kansas,
Nebraska,
New Mexico,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
GPLCC,
Great Plains,
Great Plains Landscape Conservation Cooperative,
High Plains,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: GPLCC,
Geoscientific Information,
Great Plains Landscape Conservation Cooperative,
coalbed,
natural gas
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: EPCA,
GPLCC,
Great Plains Landscape Conservation Cooperative,
Oil and Gas Field Outlines,
Reserves of Oil & Gas
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...
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’,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2014,
Consevation design,
Data,
Datasets/Database,
EARTH SCIENCE SERVICES > MODELS > CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
Stream fragmentation alters the structure of aquatic communities on a global scale, generally through loss of native species. Among riverscapes in the Great Plains of North America, stream fragmentation and hydrologic alteration (flow regulation and dewatering) are implicated in the decline of native fish diversity. This study documents the spatio–temporal distribution of fish reproductive guilds in the fragmented Arkansas and Ninnescah rivers of south-central Kansas using retrospective analyses involving 63 years of fish community data. Pelagic-spawning fishes declined throughout the study area during 1950–2013, including Arkansas River shiner (Notropis girardi) last reported in 1983, plains minnow (Hybognathus...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CATFISHES/MINNOWS,
Colorado,
Colorado,
FISH,
Federal resource managers,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: GPLCC,
Great Plains Landscape Conservation Cooperative,
bioclimate,
biogeography,
biophysical stratification,
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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: GPLCC,
Great Plains Landscape Conservation Cooperative,
bioclimate,
biogeography,
biophysical stratification,
Rate of global biodiversity loss increased significantly during the 20th century associated with human environmental alterations. Specifically, mismanagement of freshwater resources contributed to historical and contemporary loss of stream-dwelling fish diversity and will likely play a role in determining the persistence of species in the future. We present a mechanistic pathway by which human alteration of streams has caused the decline of a unique reproductive guild of Great Plains stream-dwelling fishes, and suggest how future climate change might exacerbate these declines. Stream fragmentation related to impoundments, diversion dams and stream dewatering are consequences of increasing demand for freshwater resources...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
AR-04,
CATFISHES/MINNOWS,
CO-03,
CT-04,
We propose to use long-term fish-population data from a relict reach of the Pecos River, New Mexico to assess population dynamics of imperiled prairie-river minnows, including Arkansas River shiner. Development of viable management strategies requires basic understanding of population ecology. Rigorous, quantitative ecological methods can be used to analyze continuous, long-term demographic data, but such data are rarely available for imperiled, non-game fishes. Data available for the Pecos River provide a unique opportunity to apply quantitative methods to prairie-river minnow conservation and management. Analyses proposed here would determine (1) whether population regulation is density dependent or flow-regime...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
Arkansas River shiner (Notropis girardi),
Arkansas River shiner (Notropis girardi),
CATFISHES/MINNOWS,
Climate Change,
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....
Genetic, demographic, and environmental processes affect natural populations synergistically, and understanding their interplay is crucial for the conservation of biodiversity. Stream fishes in metapopulations are particularly sensitive to habitat fragmentation because persistence depends on dispersal and colonization of new habitat but dispersal is constrained to stream networks. Great Plains streams are increasingly fragmented by water diversion and climate change, threatening connectivity of fish populations in this ecosystem. We used seven microsatellite loci to describe population and landscape genetic patterns across 614 individuals from 12 remaining populations of Arkansas darter ( Etheostoma cragini) in...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CATFISHES/MINNOWS,
Climate Change,
Colorado,
Colorado,
Data,
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.
We used the United States National Grid to develop a sampling grid for monitoring programs in the Great Plains Landscape Conservation Cooperative, delineated by Bird Conservation Regions 18 and 19. Landscape Conservation Cooperatives are science based partnerships with the goal to inform and guide conservation at regional landscape levels. Developing a standardized sampling grid for a LCC is a new endeavor and is designed to reduce program costs, avoid repetition in sampling, and increase efficiency in monitoring programs. This is possible because the grid’s nationwide coverage, uniform starting point, and scalability allow researchers to expand their monitoring programs from a small, local level to a regional or...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIRDS,
Colorado,
Colorado,
Federal resource managers,
Final Report,
Within grassland communities of the GPLCC one such key indicator species is the Lesser Prairie-chicken (Tympanuchus pallidinctus). Lesser Prairie-chicken range extends across the southern portion of the GPLCC area throughout Texas, Oklahoma, New Mexico, and Kansas. Lesser Prairie-chickens are a good target species because they are widely distributed across the southern GPLCC, are a species of conservation concern, have large home ranges, and are likely sensitive to anthropogenic disturbances. Similarly, the Greater Prairie-chicken (Tympanuchus cupido), is a species of conservation concern, with large home range, distributed across the northern portion of the GPLCC including portions of Oklahoma, Kansas, Nebraska,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIRDS,
Climate Change,
Federal resource managers,
Final Report,
GPLCC,
Sediment accumulation in playa wetlands, such as those in the Rainwater Basin in south-central Nebraska, reduces the hydrologic functionality and alters the vegetative composition of the wetlands reducing their ability to provide forage and resting habitat for migratory birds. Most Rainwater Basin wetlands have intense agricultural production occuring within their watersheds that accelerate sediment accumulation within the wetland. This sediment accumulation reduced the abilty of the wetland to hold water which, in turn, allows invasive and upland plants to proliferate with the wetland footprint. Planting upland grassland buffers around wetlands reduces the sediment load entering the wetland reducing the need...
ESRI file geodatabase containing LiDAR derived watershed boundaries for Rainwater Basin Wetalnds.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data,
Federal resource managers,
GPLCC,
GPLCC,
Great Plains,
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,
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