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Phase 1 & 2 (2010, 2012): This project developed a sampling design and monitoring protocol for wintering shorebirds in the Central Valley and in the San Francisco Bay Estuary and develop an LCC-specific online shorebird monitoring portal publicly available at the California Avian Data Center. The three objectives in Phase II of this project are: 1) Complete the shorebird monitoring plan for the CA LCC by developing a sampling design and monitoring protocol for wintering shorebirds in coastal southern California and northern Mexico. 2) Develop models to evaluate the influence of habitat factors from multiple spatial scales on shorebird use of San Francisco Bay and managed wetlands in the Sacramento Valley, as a model...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2010, 2011, 2013, Academics & scientific researchers, Academics & scientific researchers, All tags...
This project designed a monitoring program and protocol to detect the effects of climate change on tidal marsh bird population abundance and distribution. It is a companion to “Tidal Marsh Bird Population and Habitat Assessment for San Francisco Bay under Future Climate Change Conditions” and will build on its products, enabling evaluation of the long-term viability of four tidal-marsh bird species threatened by impacts of climate change: Clapper Rail, Black Rail, Common Yellowthroat, and Song Sparrow (three endemic subspecies: San Pablo, Suisun, and Alameda). Information is available through the California Avian Data Center. See also: http://data.prbo.org/apps/sfbslr/index.php?page=lcc-page
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This shape file depicts the location of current easements on tide and submerged land issued by the State of Alaska. This dataset may be of interest to the conservation community because it contains areas that may be subject to some level of disturbance to or alteration of native vegetation or biotic community under the activities defined for this easement. Each location is represented as a linear feature and has an associated Land Administration System (LAS) file-type and file-number which serves as an index to associated LAS case-file information. Tidal easement features were converted from the digital (ArcInfo) files used to produce the state status plats. Additional LAS case-file and customer information may...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
This project evaluates the effects of global climate change and sea level rise on estuarine intertidal habitat in the San Francisco Bay and the Pacific Flyway migratory waterbirds that rely on this habitat. Phase 2 of this project is a continuation of work to evaluate the effects of global climate change and sea level rise (SLR) on intertidal shoals in the San Francisco Bay Estuary and the migratory waterbirds that rely on this critically important resource in the Pacific Flyway. The primary objectives are to: 1) use downscaled global climate change models to translate SLR and climate scenarios into habitat quantity predictions through Delft3D and Dflow-FM (unstructured grid) geomorphic modeling; 2) model the response...
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This shape file depicts the location of current shore fishery leases issued by the State of Alaska.Each location is represented as a linear feature and has an associated Land Administration System(LAS) file-type and file-number which serves as an index to associated LAS case-file information.Shore fishery lease features were converted from the digital (ArcInfo) files used to produce the statestatus plats. Additional LAS case-file and customer information may be obtained at: http://www.dnr.state.ak.us/las/LASMenu.cfm.Those requiring more information regarding state shore fishery leases should contact the Alaska Departmentof Natural Resources Public Information Center directly.
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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The overarching goal of this research was to use site-specific data to develop local and regionally-applicable climate change models that inform management of tidal wetlands along the Pacific Northwest coast. The overarching questions were: (1) how do tidal marsh site characteristics vary across estuaries, and (2) does tidal marsh susceptibility to sea-level rise (SLR) vary along a latitudinal gradient and between estuaries? These questions are addressed in this data collection with three specific objectives: (1) measure topographical and ecological characteristics (e.g., elevation, tidal range, vegetation composition) for tidal marsh and intertidal mudflats, (2) model SLR vulnerability of these habitats, and (3)...
Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Bolinas Lagoon, CA, CASC, California, All tags...
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In California, the near-shore area where the ocean meets the land is a highly productive yet sensitive region that supports a wealth of wildlife, including several native bird species. These saltmarshes, mudflats, and shallow bays are not only critical for wildlife, but they also provide economic and recreational benefits to local communities. Today, sea-level rise, more frequent and stronger storms, saltwater intrusion, and warming water temperatures are among the threats that are altering these important habitats. To support future planning and conservation of California’s near-shore habitats, researchers examined current weather patterns, elevations, tides, and sediments at these sites to see how they affect...
Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Bolinas Lagoon, CA, CASC, California, All tags...
Three types of data (one with an elevation model (DEM), one without a DEM, and one indicating the difference) are provided for the entire Northeast region and by analysis zone (n=8). Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. – contains a regional classification produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. All eight cover types are included in this classification. This dataset combined with “Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S” provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight cover types include: High marsh: Area flooded during...
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This shape file depicts the location of current easements on tide and submerged land issued by the State of Alaska. This dataset may be of interest to the conservation community because it contains areas that may be subject to some level of disturbance to or alteration of native vegetation or biotic community under the activities defined for this easement. Each location is represented as a linear feature and has an associated Land Administration System (LAS) file-type and file-number which serves as an index to associated LAS case-file information. Tidal easement features were converted from the digital (ArcInfo) files used to produce the state status plats. Additional LAS case-file and customer information may...
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This shape file depicts the boundaries of current aquatic farm permits and leases issued by theState of Alaska. Each location is represented as a polygonal feature and has an associated LandAdministration System (LAS) file-type and file-number which serves as an index to associated LAScase-file information. Lease and permit boundaries were converted from the digital (ArcInfo) filesused to produce the state status plats. Additional LAS case-file and customer information may beobtained at: Those requiring more informationregarding the state aquatic farmsite program should contact the Alaska Department of Natural ResourcesPublic Information Center directly.
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This dataset contains four rasters that represents wetland restoration opportunities as well as wetland enhancement opportunities. Potential restoration opportunities are places that are not currently wetlands but have the potential to be restored to wetlands (based on presence of hydric soils or being located within tidal areas). Enhancement opportunities are all places that currently are wetlands. The restoration opportunities were created for both tidal and non-tidal wetlands. For tidal wetland restoration opportunities, the USGS Digital Elevation Model was used to establish the potential boundaries from 2 m above mean sea level to 0 m. For non-tidal wetland opportunities, the boundaries of the Chesapeake...
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This shape file depicts the location of current tidelands leases issued by the State of Alaska.Each location is represented as a linear feature and has an associated Land Administration System(LAS) file-type and file-number which serves as an index to associated LAS case-file information.Tidal lease features were converted from the digital (ArcInfo) files used to produce the state statusplats. Additional LAS case-file and customer information may be obtained at: http://www.dnr.state.ak.us/las/LASMenu.cfm.Those requiring more information regarding tidelands leases should contact the Alaska Department ofNatural Resources Public Information Center directly.
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This shape file depicts the boundaries of current aquatic farm permits and leases issued by the State of Alaska. Each location is represented as a polygonal feature and has an associated Land Administration System (LAS) file-type and file-number which serves as an index to associated LAS case-file information. Lease and permit boundaries were converted from the digital (ArcInfo) files used to produce the state status plats. Additional LAS case-file and customer information may be obtained at: Those requiring more information regarding the state aquatic farmsite program should contact the Alaska Department of Natural Resources Public Information Center directly.
This project brought together natural resource managers, conservation coordinators and planners, and scientists working at multiple scales within the San Francisco Bay to develop a spatially-explicit decision framework that cuts across jurisdictional boundaries while accounting for uncertainties about climate change. In particular, the SDM framework allows managers within the Bay to identify a recommended strategy among a set of alternative strategies that may vary among its subregions (e.g. North Bay, South Bay, East Bay). Management priorities will be those that yield the greatest expected conservation benefits across the Bay considering multiple objectives including endangered species recovery (e.g. California...
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This dataset represents a combined file indicating where a Digital Elevation Model (DEM) was and was not used in the tidal marsh classifications "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S." and "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.". For more information about the development of the data please contact Mo Correll at Maureen.correll@maine.edu. "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S.", "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.", and "DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S." are products of the Saltmarsh Habitat and Avian Research Program (www.tidalmarshbirds.org).
To be successful, natural resource managers need to synthesize diverse information on the effects of management actions, climate change and other stressors on wildlife populations at appropriate scales. The project team developed a Decision Support Tool (DST) that integrates the results of multi-disciplinary, multi-taxa modeling allowing users to project outcomes of conservation actions, accounting for effects of climate change and other stressors. This DST builds on work to improve a sea level rise tool for adaptive tidal wetland restoration and management. The DST provides information on how restoration can increase population resilience and long-term persistence at multiple scales for multiple species throughout...


map background search result map search result map Effects of Sea-Level Rise and Extreme Storms on California Coastal Habitats: Part 1 Alaska (USA) Department of Natural Resources (DNR) Tidal Easements (lines) A Monitoring Protocol to Assess Wintering Shorebird Population Trends Alaska (USA) Department of Natural Resources (DNR) Tidal Easements (lines) Alaska DNR Aquatic Farms Sea-level rise projections for and observational data of tidal marshes along the California coast Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Wetland Restoration and Enhancement, Chesapeake Bay Watershed A Monitoring Protocol to Assess Wintering Shorebird Population Trends Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Wetland Restoration and Enhancement, Chesapeake Bay Watershed Sea-level rise projections for and observational data of tidal marshes along the California coast Effects of Sea-Level Rise and Extreme Storms on California Coastal Habitats: Part 1 Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. Alaska DNR Aquatic Farms Alaska (USA) Department of Natural Resources (DNR) Tidal Easements (lines) Alaska (USA) Department of Natural Resources (DNR) Tidal Easements (lines)