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This dataset, BoatWin.csv, contains the bird and marine mammal data that was collected during boat-based surveys in the winters of 2000-2002 to double-sample portions of the aerial winter Southeast Alaska Nearshore Waterbird Survey.
In 2012 the GCPO LCC recognized that advanced web-applications would be instrumental in delivering effective LCC science products. The LCC subsequently worked with staff at the USGS Wetlands and Aquatics Research Center and the University of Louisiana Lafayette (ULL) to identify opportunities for advanced applications projects. Two potential needs identified included development of an interactive web-platform to track LCC-funded science projects, and collaboration with the Lower Mississippi Valley Joint Venture to develop and implement a Forest Characterization Database to compile local and state-level forest inventory efforts that track bottomland hardwood management in the Mississippi Alluvial Valley. The products...
A prioritization model for identifying potentially suitable but currently unoccupied habitats to target search and restoration efforts for the federally-threatened Louisiana Pearlshell Mussel.
This project links downscaled climate data to an ecosystem model (LINKAGES) to a landscape simulator (LANDIS) to wildlife models (HSI). Collectively, these models offer a means to assess the response of wildlife to climate change - mediated through habitat.
This project maps glade complexes from aerial imagery at fine-scale resolution and ground truths the classified data. Phase Ii covers the Arkansas Ozarks.
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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...
A landscape level AG spawning suitability data layer was developed to screen for landscape level features indicating locations that may be suitable for AG spawning within the lower Mississippi river corridor. Suitability was determined using a combination of inundation frequency, land cover, and thermal characteristics derived from related landscape level analyses (see below). The result for each evaluation was coded to display the predicted suitability for AG spawning . Habitat suitablility was informed by an alligator gar telemetry project on the St. Catherine Creek National Wildlife Refuge south of Natchez, MS. Approximately 20 fish were tagged in 2010, 2012 and 2013 and movement patterns on the floodplain were...
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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...
The goal of this project is to create critically needed coastal fog datasets. Anticipated products from the collaboration between on-the-ground natural resource managers and a multidisciplinary coalition of physical scientists are: 1) a compilation of existing fog related data from multiple sources: satellite (AVHRR, GOES, Modis, Landsat), NOAA buoy , and airport and meteorological stations, 2) USGS Open File report documenting the results of a multiday working session with climatologists, remote sensing specialists, fog modelers, statisticians, and natural resource managers, convened to review the data, examine and assess the correlations between data streams and models, specify initial parameters to be extracted...
Categories: Data, Project; Tags: 2011, California Landscape Conservation Cooperative, California coast, Coastal, Coastal, All tags...
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This project highlights the potential for LCCs to facilitate collaboration among conservation practitioners and research scientists to plan for the future. A team of UMass scientists is developing a landscape change, assessment and design model to assess ecosystems and their capacity to sustain populations of wildlife in the northeastern U.S. in the face of urban growth, climate change, and other stressors. The project plays a major role in developing the science and data for two collaborative landscape planning and design efforts: 1) the pilot Landscape Conservation Design for the Connecticut River Watershed, and 2) Nature’s Network, which expands and elaborates on the data to extend to throughout New England and...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2010, 2011, 2012, 2013, 2014, All tags...
This project uses bottom-up modeling at a parcel scale to measure the effects of sea-level rise (SLR) on coastal ecosystems and tidal salt marshes. At selected tidal marshes, the project team will measure several parameters that will be incorporated into ArcGIS models creating comparable datasets across the Pacific coast tidal gradient with a focus on 2-4 sites in the California LCC (e.g. San Diego, San Francisco Bay Refuges). The ultimate goal is to provide science support tools for local adaptation planning from the bottom-up that may be implemented under a structured decision-making framework.Science Delivery Phase (2013): The objectives are to: (1) Disseminate site-specific baseline data and modeling results,...
Categories: Data, Project; Tags: 2011, 2013, Applications and Tools, CA, CA-Northern, All tags...
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Successful conservation strategies in the face of climate change will require careful consideration of how changing climate will affect wildlife and habitats. Development of innovative, data-driven, accessible tools will assist in understanding and planning for those effects. This project was funded to (1) develop climate envelope models and associated prediction maps for 26 federally threatened and endangered terrestrial (T&E) vertebrate species occurring in peninsular Florida, (2) provide a technical guidebook for use and interpretation of climate envelope models, (3) develop visualization and social networking tools that will allow natural resource managers and the general public to view our models, and (4) create...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Applications and Tools, Climate change, Climate envelope models, Completed, Conservation planning, All tags...
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This dataset contains the swan data recorded during the 1985 Alaska Trumpeter Swan Survey. The 1985 survey was designed to census the entire Alaska trumpeter swan summering range.
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This dataset contains the swan data recorded during the 1980 Alaska Trumpeter Swan Survey. The 1980 survey was designed to census the entire Alaska trumpeter swan summering range.
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This dataset contains the swan data recorded during the 2015 Alaska Trumpeter Swan Survey. The 2015 survey was a stratified random-sample plot design with optimal allocation of sampling effort to minimize cost for a fixed variance.
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This dataset contains the swan data recorded during the 1990 Alaska Trumpeter Swan Survey. The 1990 survey was designed to census the entire Alaska trumpeter swan summering range.


map background search result map search result map GCPO Grassland Condition Bar Code Tidal Marsh Condition Index Upland Hardwood Woodland Management Opportunities Upland Hardwood Woodland Watershed Ranks Designing Sustainable Landscapes in the Northeast Region Climate Envelope Models in Support of Landscape Conservation PRMS_Model_IHA_Metrics_Median_Future_Difference Southeast Alaska Nearshore Winter Boat Data 2000-2002 1985 Alaska Trumpeter Swan Survey Data 2015 Alaska Trumpeter Swan Survey Data 1980 Alaska Trumpeter Swan Survey Data 1990 Alaska Trumpeter Swan Survey Data Southeast Alaska Nearshore Winter Boat Data 2000-2002 Tidal Marsh Condition Index Upland Hardwood Woodland Watershed Ranks GCPO Grassland Condition Bar Code Upland Hardwood Woodland Management Opportunities Designing Sustainable Landscapes in the Northeast Region PRMS_Model_IHA_Metrics_Median_Future_Difference 1985 Alaska Trumpeter Swan Survey Data 2015 Alaska Trumpeter Swan Survey Data 1980 Alaska Trumpeter Swan Survey Data 1990 Alaska Trumpeter Swan Survey Data Climate Envelope Models in Support of Landscape Conservation