Skip to main content
Advanced Search

Filters: Tags: Conservation NGOs (X) > Extensions: Shapefile (X)

29 results (13ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The circumboreal vegetation mapping (CBVM) project is an international collaboration among vegetation scientists to create a new vegetation map of the boreal region at a 1:7.5 million scale with a common legend and mapping protocol (Talbot and Meades 2011). The map is intended to portray potential natural vegetation, or the vegetation that would exist in the absence of human or natural disturbance, rather than existing vegetation that is commonly generated at larger scales. This report and map contributes to the CBVM effort by developing maps of bioclimatic zones, geographic sectors with similar floristic variability, and vegetation in boreal Alaska, Yukon, northwestern British Columbia, and a mountainous portion...
thumbnail
Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
thumbnail
These heatmaps show a top 3 invasive and problematic plant stressor for riparian areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were...
thumbnail
These heatmaps show a top 3 riparian ecosystem functionality stressor, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar hosted by the Desert...
thumbnail
Desert Landscape Conservation Cooperative Boundary delineates the spatial extent of the DLCC. The vector boundary is available as both a shapefile and KML file. This is a derivative product of the LCCs shapefile produced by the U.S. Fish and Wildlife Service, accessed from http:/http://www.fws.gov/GIS/data/national/ in 2014.To access the KML file, click on the ScienceBase URL and then select Open in Google Earth (KML). To access the shapefile (FWS_LCC_DLCC.shp), click on FWS_LCC_DLCC.zip linked from this product profile.
thumbnail
These heatmaps show a top 3 invasive animal stressor for riparian areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a...
thumbnail
These heatmaps show a top 3 grassland ecosystem functionality stressor, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar hosted by the Desert...
thumbnail
This project will be focused on hosting 2-3 workshops in 2013 to train people to conduct the Springs Stewardship Institute’s spring assessment protocol and promote it as a standardized method. This will facilitate standardized data collection across the landscape that can contribute to a broad-scale inventory and assessment of springs, seeps, and aquatic resources throughout the Desert LCC.
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
thumbnail
The Bird Conservancy of the Rockies will use, combine and optimize an array of remote sensing techniques to identify the most efficient process that characterizes grasslands and level of shrub component in those grasslands. The project will classify a pilot area, the Janos Grassland Priority Conservation Area, which contains the majority of the Janos Biosphere Reserve, using a variety of remote sensing approaches. In the process they will identify the best techniques for decomposing grass-shrub intermix at low densities and identify the best approaches for large scale application of remote sensing to classify the desert grasslands and shrublands.
thumbnail
In the desert southwest biodiversity is facing a changing landscape due to human population growth, expansion of energy development, and from the persistent effects of climate change among other threats. The 2012 Desert LCC science needs document recognized the importance of modeling and predicting habitat area, fragmentation and corridor network connectivity for a broad range of wildlife taxa. Tools and methods from conservation planning are available to address some of these issues, but tools to evaluate the expected benefits of corridors in mitigating climate change effects are only in their infancy. This USGS project will use quantitative spatial analysis and principles from landscape ecology to determine where...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
thumbnail
These heatmaps show a top 3 invasive animal stressor for grasslands in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar...
thumbnail
There are critical needs for a nationwide compilation of reliable shoreline data. To meet these needs, the USGS has produced a comprehensive database of digital vector shorelines by compiling shoreline positions from pre-existing historical shoreline databases and by generating historical and modern shoreline data. Shorelines are compiled by state and generally correspond to one of four time periods: 1800s, 1920s-1930s, 1970s, and 1998-2002. Each shoreline may represent a compilation of data from one or more sources for one or more dates provided by one or more agencies. Details regarding source are provided in the ‘Data Quality Information’ section of this metadata report. Shoreline vectors derived from historic...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Academics & scientific researchers, Alabama, Baseline, Beach Erosion, Beach Nourishment, All tags...
thumbnail
Rates of long-term and short-term shoreline change were generated in a GIS with the Digital Shoreline Analysis System (DSAS) version 2.0, an ArcView extension developed by the USGS in cooperation with TPMC Environmental Services. The extension is designed to efficiently lead a user through the major steps of shoreline change analysis. This extension to ArcView contains three main components that define a baseline, generate orthogonal transects at a user-defined separation along the coast, and calculate rates of change (linear regression, endpoint rate, average of rates, average of endpoints, jackknife).
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Academics & scientific researchers, Alabama, Baseline, Beach Erosion, Beach Nourishment, All tags...
thumbnail
Shapefile of a set of fires sampled from the GNLCC Large Fire Database, 1984-2011. This sampled was collected from across the total variability in climate within the Great Northern Landscape Conservation Cooperative (GNLCC) study area. Additional detail about the topography, climate, and burn severity was collected for this identified sample, and used to model fire refugia and low-severity burn probability within the fire perimeters.Each fire has a unique numeric identifier of “PolyID”. Additional attributes are as follows:FIRE_ID: For those fires with an ID, the ID assigned by the reporting agency of the MTBS project.FIRENAME: Names of those fires which are named. This is uncommon in Canada.YEAR: The year the fire...
thumbnail
Seasonal change is important to consider when managing conservation areas at landscape-scales. The study of such patterns throughout the year is referred to as phenology. Recurring life-cycle events that are initiated and driven by environmental factors include animal migration and plant flowering. Phenological events, such as fall color change in deciduous forests, the first flowering in spring, and for those with allergies, the start of the pollen season, capture public attention. These events can impact our daily lives, provide clues to help understand and manage ecosystems, and provide evidence of how climate variability can impact the natural cycle of plants and animals. Phenological observations can be gathered...
thumbnail
1985 Gulf of Mexico Atlas abstract American oyster Crassostrea virginica Ostion americanoDescription Range: The American oyster, a bivalve mollusc of the family Ostreidae, is found in the western Atlantic from the Gulf of St. Lawrence to the Yucatan Peninsula. In the Gulf, this species occurs throughout estuaries, shallow nearshore waters, and on reefs located near river mouths. Habitat: Large populations of this benthic invertebrate are found in the large estuarine bays and sounds of the Gulf (with most concentrations found within 10-meter depths). Sedentary in character, this invertebrate attaches in clusters to shell reefs, firm mud/shell bottoms and other hard substrates. Feeding and Behavior: The American oyster...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: ANIMALS/INVERTEBRATES, ANIMALS/INVERTEBRATES, Academics & scientific researchers, Alabama, American oyster, All tags...
thumbnail
These heatmaps show a top 3 invasive and problematic plant stressor for montane areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were...
thumbnail
These heatmaps show a top 3 riparian habitat fragmentation and loss stressor, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar hosted by the...
thumbnail
Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2011, 2011, 2012, 2012, 2013, All tags...


map background search result map search result map Regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change Boundary Dataset Corridors, Climate Change, and Conservation Planning in the Desert Southwest Mapping springs, seeps and aquatic habitat in the Desert LCC Remote sensing to segregate grass and shrub mixed habitats in Janos Grassland Priority Conservation Area GNLCC Refugia Project Sampled Fires Circumboreal Vegetation Map for Northwest Canada and Alaska Beach Nourishment in the Gulf of Mexico Ports of the United States Historical Changes in Shoreline in the Gulf of Mexico Long Term Shoreline Change Rates Oysters 2011 - Gulf of Mexico MODIS Phenology Tool Ecosystem Functionality Stressors for Grasslands in the Chihuahuan Desert Invasive Animal Stressors for Grasslands in the Chihuahuan Desert Habitat Fragmentation and Loss Stressors for Riparian Areas in the Chihuahuan Desert Ecosystem Functionality Stressors for Riparian Areas in the Chihuahuan Desert Invasive Animal Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Montane Areas in the Chihuahuan Desert Remote sensing to segregate grass and shrub mixed habitats in Janos Grassland Priority Conservation Area Beach Nourishment in the Gulf of Mexico Historical Changes in Shoreline in the Gulf of Mexico Long Term Shoreline Change Rates Oysters 2011 - Gulf of Mexico Ecosystem Functionality Stressors for Grasslands in the Chihuahuan Desert Invasive Animal Stressors for Grasslands in the Chihuahuan Desert Habitat Fragmentation and Loss Stressors for Riparian Areas in the Chihuahuan Desert Ecosystem Functionality Stressors for Riparian Areas in the Chihuahuan Desert Invasive Animal Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Montane Areas in the Chihuahuan Desert GNLCC Refugia Project Sampled Fires Regional decision support tool for identifying vulnerabilities of riverine habitat and fishes to climate change Boundary Dataset Corridors, Climate Change, and Conservation Planning in the Desert Southwest Mapping springs, seeps and aquatic habitat in the Desert LCC MODIS Phenology Tool Ports of the United States Circumboreal Vegetation Map for Northwest Canada and Alaska