Filters: Tags: Datasets/Database (X)
594 results (22ms)
Filters
Date Range
Extensions Types
Contacts
Categories Tag Types
|
County distribution for the climate change vulnerability of 41 newly assessed species is available for download. The entire package is available at the link provided.
Provisional Tennessee State Wildlife Action Plan (TN-SWAP) terrestrial habitat priorities versus results of the population growth model developed by the Tennessee Chapter of The Nature Conservancy, 2008, converted to percent projected developed landcover in the year 2040. Spatial growth model was developed using population growth projections from the University of Tennessee Center for Business and Economic Research (UT-CBER), county urban growth boundaries, 2000 census blocks, and various ancillary datasets.
Categories: Data;
Tags: Academics & scientific researchers,
AppLCC,
Appalachian,
Conservation NGOs,
Data,
Contributing to a core component of the Nature’s Network, the Western Pennsylvania Conservancy conducted an analysis on species-habitat associations data to develop a measure of overall species importance, summarized across all species, for each habitat class in the Northeast. This project extended the Habitat Associations project, in which the North Atlantic Landscape Conservation Cooperative partnered with NatureServe to produce a tabular dataset linking set of terrestrial and aquatic habitat layers with NatureServe element occurrence data for over 600 species of greatest conservation concern identified by states in FWS Region 5. Results data from the analysis were delivered in tabular format and joined to the...
Categories: Data,
Project;
Tags: 2016,
Conservation Planning,
Datasets/Database,
FWS R5 SA Project,
Federal resource managers,
Concerns about the influence of climate change on biota have emerged over the past decade, and responses in species populations and distribution patterns have already been documented (Parmesan 1996, Thomas and Lennon 1999). Current climates and communities will not simply migrate, but rather will re-form in novel ways over time (Fox 2007; Hunter et al. 1988; Williams and Jackson 2007). Due to the uncertainty of future climatic patterns and species responses, enduring features of the landscape (geophysical settings) are appropriate targets of assessment, planning, and conservation (Anderson and Ferree 2010, Beier and Brost 2010, Brost and Beier 2012; Hunter et al. 1988). Only recently have enduring features been...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate,
Completed,
Conservation planning,
Consevation design,
Data Acquisition and Development,
We will develop SMART-SLEUTH, an advanced spatially explicit modeling framework designed to augment the current SLEUTH model with sophisticated smart-growth capabilities. Based on the latest version of SLEUTH, we will create an open-source GIS-enabled software package that will implement SMART-SLEUTH with advanced modules and tools for evaluating, predicting, and visualizing smart growth scenarios and outcomes. In this software package, a more user friendly Graphic User Interface (GUI), a multi-level automatic calibration approach built on machine learning algorithms, and new spatial landscape metrics for quantifying land change patterns will provide enhanced support for complex model configuration, calibration,...
Categories: Data,
Project;
Tags: 2013,
2014,
2015,
ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS,
Academics & scientific researchers,
The Nature Conservancy (TNC) recently completed an unprecedented assessment of almost 14,000 dams in the Northeastern United States. The Northeast Aquatic Connectivity (NAC) project allows fisheries managers and other interested parties to assess dams at multiple scales based on their potential to benefit anadromous and resident fish species if removed or bypassed. This work has continued, with support from NOAA and USFWS, in the Chesapeake Bay watershed, where data refinements and further analysis have produced a web map and tool that allow users to interactively prioritize dams for mitigation at multiple scales and with varying criteria.The Southeast Aquatic Resources Partnership (SARP) has recently completed...
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,
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....
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.
The Gulf Coast Prairie Landscape Conservation Cooperative needed seamless landcover data for the south-central United States. This information is essential for developing computer modeling tools related to the conservation of many terrestrial species and determining the quality of vegetation to assess current and desired conditions.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
Conservation NGOs,
DATA ANALYSIS AND VISUALIZATION,
DATA ANALYSIS AND VISUALIZATION,
Data Acquisition and Development,
WGFD has a quantity of GPS-based animal movement data available for processing. In order to fully integrate this data into existing statewide migration route data layers and/or to use it to develop modeled migration corridor data layers, it must be reviewed, organized appropriately, analyzed, modeled and finally structured to allow seamless integration. The objective of this proposal is to review and examine the data, organize it meaningfully, and present it initially in combination with existing migration routes in order to represent generalized big game migration corridors across the landscapes of Wyoming. This is anticipated as a “first look” product, and serve as a basis for future work to more fully analyze...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
2012,
CO-2,
CO-3,
CO-3,
Vegetative cover surveys for the Nebraska collected for the purpose of developing a land cover map. These data were collected by Nebraska Game and Parks Commission in coordination with the Missouri Resource Assessment Partnership (MoRAP). The overall vegetation community was recorded in addition to the dominant 3 species and percent cover of these vegetative communities: herbaceous, shrub, and woody. A photo was taken of each survey location and attached to the record.
Categories: Data;
Tags: DOMINANT SPECIES,
Data,
Datasets/Database,
LCC Network Science Catalog,
VEGETATION SPECIES,
The North Atlantic Region of the United States and Canada boasts diverse habitats, from coasts to mountains, that support endemic and rare plant species. However, recent conservation actions and prioritization efforts in this region have neglected to include plants. We have conducted a conservation assessment for vascular plants that occur in the North Atlantic Landscape Conservation Cooperative. Using the best scientific data, we have developed a list of vascular plant species of concern for the region. We have refined the list with the input of Natural Heritage and other regional botanists and experts. For each species, we have determined regional conservation responsibility, developed regional ranks, updated...
Categories: Data,
Project;
Tags: 2015,
Conservation NGOs,
Conservation planning,
Data Acquisition and Development,
Data Acquisition and Development,
Categories: Project;
Tags: 2010,
Academics & scientific researchers,
Applications and Tools,
Conservation NGOs,
Data Acquisition and Development,
GIS layers showing current and future connectivity for pine snake, eastern diamondback rattlesnake, eastern couger, red wolf, and black bear
Categories: Data;
Tags: Climate change,
Completed,
Data,
Data.gov South Atlantic Landscape Conservation Cooperative,
Datasets/Database,
This project used species distribution modeling to assess the risk to habitat change under various climate change scenarios for rare plants. To predict the response of rare plant species to climate change, the project modeled the current distribution of the species using climate and environmental data (e.g., soils, disturbance, land-use), use these models to predict the species distribution given climate change, calculate current and future range size, calculate the amount of overlap of predicted future distribution with current distribution, and assess where barriers and protected areas are located with reference to the change in species distribution. Given the results of the distribution modeling, each species...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2010,
CA,
CA-wide,
California,
California Landscape Conservation Cooperative,
Our project focuses on understanding patterns and causes of recent population declines in the Haleakala silversword that are associated with decreasing precipitation, increasing temperature, and related climate changes in Hawaii’s high-elevation ecosystems. The Haleakala silversword is an ideal taxon with which to assess impacts from climate change. It forms the foundation of a diverse alpine community and likely reflects wider ecological changes; it is already exhibiting patterns of mortality consistent with an upslope shifting distribution; and its high visibility and symbolic status make it unmatched in educational potential. Building on extensive research infrastructure, we propose to collect the demographic...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
Academics & scientific researchers,
Climate,
Datasets/Database,
Federal resource managers,
This file includes two raster layers. One of the raster files (LCC_Windgt90x.img) displays the data by differentiating between areas that have a greater than 90 percent or higher risk of development from areas with less than a 90 percent risk of wind energy development. The second raster file (LCC_WindProbs.img) displays the energy risk across a gradient, but does not include the categories seen in the Energy Forecast Web Mapping Tool. The values range from 0-1, with larger values representing a higher probability of development.
Categories: Data;
Tags: Data,
Datasets/Database,
LCC Network Science Catalog,
Map,
climatologyMeteorologyAtmosphere,
This file includes two raster layers. One of the raster files (LCC_Coal_gt90x.img) displays the data by differentiating between areas that have a greater than 90 percent or higher risk of coal energy development and areas with less than a 90 percent risk of coal energy development. The second raster file (LCC_Coal.img) displays the energy risk across a gradient, but does not include the categories seen in the Energy Forecast Web Mapping Tool. The values range from 0-255, with larger values representing a higher probability of development.
|
![]() |