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The purpose of the plowprint is to track annual grassland conversion to cropland across the Mississippi River Basin and Great Plains region, and to provide a way to measure the loss of this important habitat type, against which annual changes can be compared. This report tracks changes at the sub-regional scale, as well as in the context of the broader geography, and highlights key elements of change each year. The focus of this report is on changes in grassland conversion from 2014-2015, based on data from the USDA National Agricultural Statistics Service Cropland Data Layer and the Agriculture and Agri-Food Canada Annual Crop Inventory. For this analysis, cropland is defined as any annually planted agricultural...
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El estado de Chihuahua es el más extenso de la República Mexicana, representa el 12.6% del territorio del país (INEGI, 2001) y posee una amplia gama de recursos naturales de los que se desprenden diversas actividades económicas (INEGI, 2003), por lo anterior resulta indispensable la disponibilidad de información eficiente de los recursos naturales que permita el manejo adecuado de los mismos. La ley forestal de nuestro país, señala que la evaluación de los recursos naturales debe integrar “información estadística y cartográfica”, que permita conocer la dinámica del cambio de vegetación forestal, para poder evaluar las tasas de deforestación y sus principales causas (CONAFOR, 2010). Actualmente la cartografía...
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In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of themetadata. A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL). In late 2006, the Department of Fish and Game...
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This dataset explores the physical reality of the population growth from 2005 to 2060 without changes to existing land use policy or gross urban density. The land use suitability analysis displayed in this dataset was performed by the GeoPlan Center for 1000 Friends of Florida and is a companion study to "A Time for Leadership: Growth Management and Florida 2060" prepared for 1000 Friends of Florida by researchers at Georgia Tech's Center for Quality Growth and Regional Development. GeoPlan's project was undertaken using relatively straightforward geographic information systems (GIS) suitability analysis constructed on a foundation of clearly articulated assumptions. The three key assumptions were: 1)...
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Sea level rise projections produced by the University of Florida Geoplan Center. These projections measure sea level rise in meter increments up until 6 meters, the predicted sea level rise measure if both Greenland and the West Antarctic ice sheet melt.
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A raster dataset representing the resilience and resistance classes combined with greater sage-grouse breeding habitat probabilities. It was created to represent greater sage-grouse breeding habitat probabilities within each resilience and resistance class. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy. The R&R and the GRSG Breeding Habitat Probability raster were incorporated; the resulting raster contained 12 values: 26 - Unsuitable Probability and High R&R 27 - Unsuitable Probability and Moderate R&R 28 - Unsuitable Probability and Low R&R 51 - Low Probability and High R&R 52 - Low Probability and Moderate R&R 53...
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This layer was created by selecting classes relevant to conservation of the grassland-prairie-savanna broadly defined habitat from the LANDFIRE Existing Vegetation Type (evt) spatial data product clipped to the boundary of the GCPO LCC. The layer was generated as in input layer for the Draft Grassland Condition Index raster data layer in support of the GCPO LCC rapid ecological assessment of the Grassland-Prairie-Savanna Priority Habitat. In selecting vegetation types, “grasslands” were defined as any landscape dominated by grass, excluding classes considered to be features of other priority habitats, such as marshes, dunes, glades, woodlands, and pine savanna. The 44 selected grassland classes included pasture/hay...
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Limited midstory density was also identified in the Integrated Science Agenda as an important component of upland hardwood systems in the GCPO geography, with midstory coverage ≤20% indicating a healthy additional vertical strata in the system. Midstory is an important habitat component for several ISA priority species, particularly those avian species who require midstory structure for nesting such as the wood thrush (Hylocichla mustelina). We again used plot-level Forest Inventory and Assessment data imputed at 250 m resolution across the GCPO LCC to assess tree density. The USFS imputed tree density data product provides raster maps for the conterminous U.S. generated using 250 m resolution MODIS satellite imagery,...
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Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment F - Lake Ontario...
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This dataset features suitable habitat connected to the main channel (based on floodplain inundation) within managed areas at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. Depth rasters were exported from HEC-RAS 5.0.0. Since the lower section...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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Geographic ranges of pine savanna and woodland types in the southeastern U.S. Divisions are based on composition and abundance of overstory trees and ground-layer grasses. Overstory tree species include longleaf pine and slash pine. Data for Figure 4 in:Peet, R.K., Platt, W.J., Costanza, J.K. 2018. The ecology and management of fire-maintained savanna ecosystems of the Southeastern U.S. Coastal Plain. Chapter in: Ecology and Recovery of Eastern Old-Growth Forests. Editors: Keeton, W., Barton, A., Island Press.
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From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Condition Index ranks pixels (10-m) according to how well they meet the Desired State for the Tidal Marsh habitat system, which is described qualitatively and quantitatively in the GCPO LCC’s draft Integrated Science Agenda (v4). Higher values indicate sites closer to the Desired State. Value of 2 indicates areas appropriate for restoration but currently under an alternative land use (i.e. potential habitat). Value of 1 indicates areas projected by USGS to become Tidal Marsh under a 2-m sea-level rise scenario. Please see...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Management Opportunity action map for the Upland Hardwood (Woodland) habitat system ranks pixels (250-m) for 3 general classes of conservation actions. Maintenance pixels (values 7-9) are currently estimated to meet the site condition Endpoints in the GCPO LCC’s draft Integrated Science Agenda (v4). Enhancement pixels (values 4-6) are those that are currently classified as Upland Hardwood (Woodland) but do not meet the site condition Endpoints in the Science Agenda. Restoration pixels (values 1-3) are those that are currently...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. It represents a relative ranking of HUC12 watersheds according to the quantity and quality of habitat as described in the GCPO LCC’s draft Integrated Science Agenda (v4). Watersheds (HUC12) were ranked by the presence, quantity and quality of the Upland Hardwood (Woodland) habitat system (includes upland hardwood forest, oak-hickory forest, and oak-hickory woodlands) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of the total Upland Hardwood...
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The grassland condition index raster data layer assigns to each 30 meter pixel in the GCPO a condition index score generated by the presence or absence of a set of desired conditions such as patch size, vegetation height, etc. This grassland bar code layer indicates which conditions contributed to the index value score, and by how much, by use of a nine-digit code. The digits in the code represent the following input conditions in order: potential for restoration, presence of a grassland ecological system, presence of prairie (a subset of grasslands characterized by the presence or dominance of native vegetation), configuration in a patch > 100 acres, and the four site-level condition endpoints: vegetation height...
Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. This item includes data sets for segment D - Lake Ontario...


map background search result map search result map County boundaries California Florida Sea Level Rise Projections in Meters Florida 2060 Development Projections Appalachian LCC Landscape Conservation Design Phase 1 Regional Linkages Percent catchment under crop-rivers GRSG Breeding Habitat Probabilities within R&R Classes Raster GCPO Grassland Condition Bar Code GCPO Grassland existing vegetation type from LANDFIRE Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua Geospatial Bathymetry Dataset and Elevation-Area-Capacity Table for Ashokan Reservoir, 2013 to 2014 Tidal Marsh Condition Index Upland Hardwood Woodland Management Opportunities Upland Hardwood Woodland Watershed Ranks Density of Midstory Trees (trees/acre) in the GCPO LCC The Great Plains PlowPrint PRMS_Model_IHA_Metrics_Median_Future_Difference Pine Savannas And Woodlands of the Southeastern U.S. River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning within managed areas in the lower Trinity River of Texas Segment D - Flood inundation map geospatial datasets for Lake Ontario, New York Segment F - Flood inundation map geospatial datasets for Lake Ontario, New York Segment D - Flood inundation map geospatial datasets for Lake Ontario, New York River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning within managed areas in the lower Trinity River of Texas Segment F - Flood inundation map geospatial datasets for Lake Ontario, New York Cartografía de Uso de Suelo y Vegetación del Estado de Chihuahua Florida 2060 Development Projections Florida Sea Level Rise Projections in Meters County boundaries California GCPO Grassland existing vegetation type from LANDFIRE Tidal Marsh Condition Index Upland Hardwood Woodland Watershed Ranks GCPO Grassland Condition Bar Code Upland Hardwood Woodland Management Opportunities Density of Midstory Trees (trees/acre) in the GCPO LCC Appalachian LCC Landscape Conservation Design Phase 1 Regional Linkages Percent catchment under crop-rivers Pine Savannas And Woodlands of the Southeastern U.S. PRMS_Model_IHA_Metrics_Median_Future_Difference GRSG Breeding Habitat Probabilities within R&R Classes Raster The Great Plains PlowPrint