Filters: Categories: Data (X) > Extensions: ArcGIS Service Definition (X)
Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal ( Show direct descendants )
1,486 results (12ms)
Location
Folder
ROOT _ScienceBase Catalog __LC MAP - Landscape Conservation Management and Analysis Portal Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
Forest Retention Index classes for the southeastern United States at 2040 were processed using the Forest Retention Decision Tree and rendered on a 30-meter by 30-meter grid. The Forest Retention Index is used only for current forestland, identified using National Land Cover Database 2011. Many datasets were used as inputs for the Forest Retention Decision Tree, and they can be grouped into five broad categories: Protected, Tier 1 Priority, Tier 2 Priority, Threats to Forest Retention, and Socio-Economic Value of Forests. Protected datasets include Protected Areas Database-United States, National Conservation Easement Database, state-maintained databases, and private datasets volunteered by conservation partners....
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alabama,
Arkansas,
Florida,
Georgia,
Illinois,
Collection of 4 assessments for Upland Streams and Rivers. The Condition Index ranks stream segments according to how well they meet the Desired State described qualitatively and quantitatively in the draft Integrated Science Agenda (v4). From the Condition Index, 3 assessments are derived that rank opportunities for management and restoration of conditions included in the Condition Index – Watershed Land Use, Riparian Cover, and Stream Meander. Watershed Land Use management opportunities are based on the proportion of undisturbed land in the contributing (i.e. cumulative) watershed such that stream segments meeting the Desired State are considered Maintenance opportunities (values 5-6). Those that do not meet the...
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 Protection Opportunity action map for the Upland Hardwood (Woodland) habitat system ranks pixels (250-m) based primarily on the Upland Hardwood (Woodland) Condition Index such that unprotected sites within healthy landscapes are ranked higher than those in very fragmented landscapes. Ranks are increased by information on existing partner interest (i.e. stated priority areas), elevated risk of change by 2060, and predicted occupancy of a majority of species identified in the GCPO LCC’s draft Integrated Science Agenda (v4)....
In large river ecosystems, the timing, extent, duration and frequency of floodplain inundation greatly affect the quality of fish and wildlife habitat and the supply of important ecosystem goods and services. Seasonal high flows provide connectivity from the river to the floodplain, and seasonal inundation of the floodplain governs ecosystem structure and function. River regulation and other forms of hydrologic alteration have altered the connectivity of many rivers with their adjacent floodplain – impacting the function of wetlands on the floodplain and in turn, impacting the mainstem river function. Conservation and management of remaining floodplain resources can be improved through a better understanding of...
This data represents an assessment of forest composition used in the ecological assessment of upland hardwood systems by the GCPO LCC. We used a combination of remote sensing products including 2011 National Land Cover Database (NLCD) forest classes and the 2011 MAV forest classification layer produced by the Lower Mississippi Valley Joint Venture to delineate patches of all forest types in the GCPO LCC. We used NLCD as the primary data source when assessing forests outside the GCPO LCC MAV subgeography, and the LMVJV forest classification as the primary data source for forest assessment within the MAV. NLCD was developed using 2011 Landsat TM imagery, with forest classes including only areas with trees exceeding...
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,
Estimates of county tile drainage in the Mississippi River Basin. Data Sources: 2012 USDA NASS Census of Agriculture; World Resources Institute. 2008. Assessing Farm Drainage; USGS Northern Prairie Wildlife Research Center. 2014. Assessment of agricultural subsoil pattern tile drainage on wetland hydrology and ecosystem services in the Prairie Pothole Region. Field Description tiled_acre Acres drained by tile (NASS Census of Agriculture, 2012) or drainage permit acres in Dakotas (NPWRC, 2014), whichever is higher. pct_tile Percent of county drained by tile (tiled_acre/cty_acr*100) prmtac2 Acres under drainage permit in North or South Dakota (NPWRC, 2014). Best_Guess Acres drained by tile (WRI - Assessing...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
Mississippi River Basin,
Subsurface Drainage Tile,
agriculture,
birds,
Important Forest Resource Areas are those landscape areas that are considered to be of high program potential or priority by State Forest Action Plans, and as defined by National Forest Stewardship Program Standards and Guidelines. This dataset contains the combined areas for Illinois, Indiana, Iowa, Minnesota, Missouri, and Wisconsin within the Mississippi River Basin. Grid Value "1": Stewardship Potential - Areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery, but are not considered a priority. Grid Value "2": High Stewardship Potential - Priority areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
agriculture,
birds,
conservation,
conservation delivery,
Mainstem Mississippi River bottomlands. Derived by combining the Mississippi alluvial plain with natural floodplains created by the Scientific Assessment and Strategy Team for the Upper Mississippi. While the Mississippi alluvial plain is not entirely bottomland (e.g. Crowley's Ridge), excluding these non-bottomland areas from analysis would exclude opportunities to expand existing forest patches and enhance connectivity.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
agriculture,
birds,
conservation,
conservation delivery,
Mississippi River Basin Gridded SSURGO Farmland Class "farmlndcl" - Prime and Important soils. "Not Prime Farmland" is excluded from this dataset.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
SSURGO,
Soils,
agriculture,
birds,
Combined core and corridor areas used to identify the landscape context of potential implementation opportunities in terms of enhancing functional connectivity. Data generated by The Conservation Fund as part of the Midwest Wind Energy Multi-Species Habitat Conservation Plan (MSHCP) and NiSource MSHCP green infrastructure network design processes.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: LCC,
agriculture,
birds,
conservation,
conservation delivery,
GCP LCC Focal Habitats created from the Texas Ecological Systems Map
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: GCP LCC,
habitats,
vegetation
This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: SLAMM
Sea Level Rise Affecting Marshes Model (SLAMM) initial condition for the Northern Gulf of Mexico. This dataset is a mosaic of initial condition datasets from SLAMM models run across the gulf of mexico.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: SLAMM
Gulf Coast Prairie LCC Broadly Defined Habitats created from the LANDFIRE Ecological Site Potential data.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: GCP LCC,
habitat
Percent Cultivated derived from the Cropland Data Layer Dataset by HUC 12
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: cultivated,
gcp lcc
This is a continuous raster dataset identifying wetlands that are currently suitable for mottled duck brood-rearing activities in the Western Gulf Coast. The identification process is based on key biological parameters such as wetland type, number of years inundated, distance to brood nesting habitat, etc. Additionally, this raster dataset presents the data in a form that prioritizes habitat from more suitable to less suitable based on landscape metrics. The scale ranges from 9.9999 to .000005, higher value designating higher suitability ranking.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Brood-rearing habitat,
GCPLCC,
Gulf Coastal Prairie Landscape Conservation Cooperative,
MODU,
Mottled Duck,
The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alabama,
Beach,
Beach Erosion,
Coastal Geomorphology,
Coastal Hazards,
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service
This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service;
Tags: SLAMM
Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
|
|
