Skip to main content
Advanced Search

Filters: Date Range: {"choice":"year"} (X) > Types: ArcGIS REST Map Service (X) > Types: OGC WMS Layer (X)

136 results (41ms)   

Filters
Date Types (for Date Range)
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Description of condition index value scores for estuarine tidal marsh along and within 10 km of the GCPO LCC Gulf Coast subgeography. A series of raster calculations were used in a dichotomous decision-based framework to compile a per-pixel draft condition index value at a 10 m resolution for GCPO estuarine tidal marsh based on the number of configuration and condition endpoints met within each marsh pixel. Pixels not identified as a estuarine marsh but that were identified as having the potential to be marsh were given a score of 1, provided the pixels were not classified as developed. Potential estuarine tidal marsh pixels were derived from a combination of potential estuarine tidal marsh classes in the Landfire...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AQUATIC ECOSYSTEMS, AQUATIC ECOSYSTEMS, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
thumbnail
This dataset features inundated 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. To model river stage specific inundation for the upper section, discharge for each Landsat 8 overpass date was entered as the upstream condition and the corresponding...
thumbnail
Metadata specific to this state's data is not available. The MARIS Master metadata record can be accessed to help provide general data descriptions and guidance to users. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not capture all of the information from a state’s aquatic dataset – only a subset of data collected as part of aquatic species sampling surveys. The MARIS structure was developed by a consortium of state fish and wildlife agencies and implemented through contracts with various universities. In the past,...
thumbnail
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 (Forest) habitat system (includes upland hardwood, oak-hickory, mixed mesophytic, southern mixed mesic, and maritime forest types) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of...
thumbnail
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 (250-m) according to how well they meet the Desired State for the Upland Hardwood (Woodland) 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 1 indicates areas appropriate for restoration but currently under an alternative land use (i.e. potential habitat). Please see PDF file in the Upland Hardwood (Woodland) folder in the Blueprint Gallery at https://gcpolcc.databasin.org/...
thumbnail
Standing dead trees, or snags, are an important habitat element in any forested system, and provide diurnal or seasonal shelter for many LCC priority species. The ISA landscape endpoint for snag density in upland hardwood woodland and forest systems targets one large (≥16” dbh) snag for every five acres of forest (or approximately ~0.2 large snags/acre), reflected by cavity-roosting habitat needs of the silver-haired bat (Lasionycteris noctivagans) and ample other avian, and mammalian species that require cavities in snags to carry out their life history. We used USFS imputed density of large (>16” dbh) snags data (USDA Forest Service Remote Sensing Applications Center, personal communication) extracted through...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BIOSPHERE, BIOSPHERE, Conservation planning, Data, EARTH SCIENCE, All tags...
A combination of citizen science inventories and expert assessments will be used to collect critical baseline information on known spring and seep resources using the Spring Ecosystem Inventory and Assessment Protocols and adapting them as needed for the unique arid Sky Island ecosystems. The assessment will collect information on channel morphology, riparian and wetland vegetation, water quality, aquatic macroinvertebrates, and wildlife. This information will be combined with historic data from cooperating agencies (Pima County, Santa Cruz County, USFS, NPA, USGS, USFWS, BLM, and AGFD) in a regional, on-line database to provide a landscape level context for managing resources, which was previously unavailable due...
Categories: Data, Project; Types: ArcGIS REST Map Service, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2011, AZ-02, AZ-03, Arizona, Arizona, All tags...
thumbnail
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.
thumbnail
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)...
thumbnail
Sky Island Alliance (SIA) is a non-governmental organizational that works to protect and restore the rich natural heritage of native species and habitats in the Sky Island Region. We work with volunteers, scientists, land-owners, public officials, and government agencies to establish protected areas, restore healthy landscapes, and promote public appreciation of the region’s unique biological diversity. Because of our long-standing collaborative relationships with land managers and our large corps of skilled volunteers, we were in a unique position to spearhead this project.SIA initiated this springs inventory, assessment and management planning project to develop baseline information on springs in the Sky Island...
Categories: Data; Types: ArcGIS REST Map Service, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2011, AZ-02, AZ-03, Arizona, Conservation NGOs, All tags...
thumbnail
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...
thumbnail
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,...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...
thumbnail
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...


map background search result map search result map Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Springs and Seeps Inventory, Assessment, and Management Planning Project 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 Barcode Value for GCPO LCC Estuarine Tidal Marsh GCPO Grassland Condition Bar Code GCPO Grassland existing vegetation type from LANDFIRE Tidal Marsh Condition Index Density of large snags (>16") per acre (GCPO geography) Upland Hardwood Forest Watershed Ranks Upland Hardwood Woodland Condition Index Upland Hardwood Woodland Management Opportunities Upland Hardwood Woodland Watershed Ranks Density of Midstory Trees (trees/acre) in the GCPO LCC Data and Services for: Springs in the Sky Island Region: Inventory, Assessment, and Management Planning Project PRMS_Model_IHA_Metrics_Median_Future_Difference River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning within managed areas in the lower Trinity River of Texas River stage-specific GIS data layers depicting floodplain inundation in the lower Trinity River of Texas River stage-specific GIS data layers depicting suitable connected habitat for Alligator Gar spawning within managed areas in the lower Trinity River of Texas River stage-specific GIS data layers depicting floodplain inundation in the lower Trinity River of Texas Data and Services for: Springs in the Sky Island Region: Inventory, Assessment, and Management Planning Project Springs and Seeps Inventory, Assessment, and Management Planning Project Multistate Aquatic Resources Information System (MARIS) published 20131201 - Alabama fish sampling records 1953-2006 Florida 2060 Development Projections Florida Sea Level Rise Projections in Meters GCPO Grassland existing vegetation type from LANDFIRE Tidal Marsh Condition Index Barcode Value for GCPO LCC Estuarine Tidal Marsh Upland Hardwood Forest Watershed Ranks Upland Hardwood Woodland Watershed Ranks GCPO Grassland Condition Bar Code Upland Hardwood Woodland Condition Index Upland Hardwood Woodland Management Opportunities Density of large snags (>16") per acre (GCPO geography) Density of Midstory Trees (trees/acre) in the GCPO LCC Appalachian LCC Landscape Conservation Design Phase 1 Regional Linkages Percent catchment under crop-rivers PRMS_Model_IHA_Metrics_Median_Future_Difference