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Anabat surveys of bats are being coordinated across National Wildlife Refuges in the Southeast as part of a larger effort to monitor trends in abundance and distribution of bats
This project will address species-habitat relationships for a priority aquatic system for the GCPO LCC, Mainstem Big Rivers. Specifically, the project will collect subsurface aquatic habitat data using side-scan sonar and high resolution bathymetry data in the Pearl River system of Louisiana. This project expands on current work ongoing in the Pearl River, and would extend habitat data collection for the purposes of making recommendations on restoration of aquatic habitat for species endpoints in this aquatic system. This project directly addresses landscape conservation design and will be used to inform Adaptation Strategies.
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This layer was created by selecting classes relevant to conservation of the grassland-prairie-savanna broadly defined habitat from the LANDFIRE Existing Vegetation Type (evt) spatial data product clipped to the boundary of the GCPO LCC. The layer was generated as in input layer for the Draft Grassland Condition Index raster data layer in support of the GCPO LCC rapid ecological assessment of the Grassland-Prairie-Savanna Priority Habitat. In selecting vegetation types, “grasslands” were defined as any landscape dominated by grass, excluding classes considered to be features of other priority habitats, such as marshes, dunes, glades, woodlands, and pine savanna. The 44 selected grassland classes included pasture/hay...
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.
Building off the successes of the stratified random sampling approach to selecting aerial transects for waterfowl surveying used by Mississippi and Arkansas, the waterfowl conservation community is undertaking this approach across the entire Mississippi Alluvial Valley. Waterfowl respond directly to climate factors and this approach allows for statistically valid estimates that can track trends over time.
This project will improve the existing Louisiana and Ozarks black bear models by incorporating more accurate, up-to-date landcover data, detailed agricultural data, and urbanization data. The models will then be coupled to create a seamless final landscape scale model of black bear habitat that identifies areas of importance for bears and specific forest management endpoints needed to maintain or create quality bear habitat.
This data release contains inputs for and outputs from hydrologic simulations of the southeastern U.S. using the Monthly Water Balance Model, the Precipitation Runoff Modeling System (PRMS), and statistically-based methods. These simulations were developed to provide estimates of water availability and statistics of streamflow for historical and potential future conditions for an area of approximately 1.16 million square miles. These model input and output data are intended to accompany a U.S. Geological Survey Scientific Investigations Report (LaFontaine and others, 2017); they include three types of data: 1) model input parameters and data files, 2) model output data files, 3) GIS files of the model hydrologic...
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The Gulf Coastal Plains and Ozarks (GCPO) Landscape Conservation Cooperative (LCC) has conducted an ecological assessment of various landscape characteristics, or endpoints, outlined in the LCC Integrated Science Agenda. This data layer addresses the forested wetland amount desired landscape endpoint for the forested wetland ecosystem in the Mississippi Alluvial Valley subgeography of the GCPO LCC. This data was created by reclassification of the 2011 National Land Cover Dataset (NLCD) to pull out only the woody wetlands class (90) from the NLCD dataset.
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: AQUATIC ECOSYSTEMS, AQUATIC ECOSYSTEMS, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
The main goal of this project is to ensure that the 2011-13 climate change update to the Baylands Ecosystem Habitat Goals Report (Baylands Goals) and other key, ongoing conservation activities in the San Francisco Bay region use the latest information about the current and future status of San Francisco Bay tidal marsh ecosystems, particularly in the context of sea-level rise. The main product of the project is the improved Sea Level Rise (SLR) Tool, specifically upgraded to inform the Baylands Goals Report update. The tool will continue to be available online at www.prbo.org/sfbayslr. All data layers going into the tool are and will continue to be downloadable from the site.
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The Alaska Trumpeter Swan Survey used U.S. Geological Survey (USGS) 1:63,360 scale quadrangle maps as sampling units (plots). USGS identifies each 1:63,360 map with a combination of two identifiers: 1) the 1:250,000 quadrangle in which it occurs, and 2) the 1:63,360 quadrangle map itself. Similarly, in the swan survey files, the 1:63,360 map is identified by the combination of the “Map” and “Quad” fields. The Map field identifies the 1:250,000 quad by its USGS numeric code; the Quad field identifies the 1:63.360 map by its appropriate letter-number. USGS_Map_Index.tif is a map version of the USGS map index, saved in an image format (.tif).
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Estimates_By_Year_2010to2015.csv summarizes the Alaska Trumpeter Swan Survey abundance estimates by survey year, 2010 and 2015. Estimates are rounded to the nearest integer.
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2010_Analysis_Trends.xlsx is an Excel file created by MBM-AK to analyze data from the 1968-2010 Alaska Trumpeter Swan Surveys to assess trends in the numbers of adult (i.e., white) swans, total swans (i.e., adults and cygnets), and broods, and the percentage of cygnets in the total swan population.
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The standard operating procedures (SOP) document for the overall WBPHS, including the Alaska strata, was updated by USFWS Division of Migratory Bird Management Branch of Migratory Bird Surveys on 21 April 2022. This SOP applies to all survey crews, including Alaska’s.
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This collection contains the quality-control (QC) transcribed data from the Arctic Coastal Plain Aerial Breeding Pair Survey. These QC data were produced from the “raw” data using the R Package “AKaerial.” The raw data were evaluated against the current data standards in the ‘AKaerial data dictionary’ and saved to new QC data files with associated log files that document any changes that were made. The data files in this collection were named using the following naming convention: ACP_YYYY_QCObs_OOOO, where ACP=Arctic Coastal Plain, YYYY=Year, QCObs=Quality control observations, and OOOO=observer’s first initial and last name.These data contain known errors. These data should not be used except as raw input for...
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This multi-layer GeoPackage contains the Alaska Arctic Coastal Plain Aerial Breeding Pair Survey design transects from 2007 to present. The original transects were created as shapefiles and imported to this SQLite database. Transects were saved as individual polylines named according to the year they were created (e.g., “main.ACP_2007_Trans,” “main.ACP_2008_Trans,” “main.ACP_2009_Trans,” etc.). These aerial transects were developed systematically from randomly-selected start points and created along constant lines of latitude. The inter-transect spacing in the low, medium, high, and very-high density strata varies so that areas with higher waterfowl density are surveyed more intensively. The current four-year rotating...
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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.
map background search result map search result map MAV NLCD_2011 Woody Wetlands GCPO Grassland existing vegetation type from LANDFIRE Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Southeast Alaska Nearshore Winter Boat Data 2000-2002 Alaska Trumpeter Swan Survey Estimates by Year 2010-2015 Alaska Trumpeter Swan Survey 2010 Analysis - Trends USGS_Map_Index.tif for Alaska Trumpeter Swan Survey Waterfowl Breeding Population Habitat Survey Standard Operating Protocol Update 04-21-2022 MAV NLCD_2011 Woody Wetlands Alaska Arctic Coastal Plain Aerial Breeding Pair Survey Design Transect Geodata Alaska Arctic Coastal Plain Aerial Breeding Pair Survey QC Transcribed Data 2007-present Southeast Alaska Nearshore Winter Boat Data 2000-2002 GCPO Grassland existing vegetation type from LANDFIRE Alaska Trumpeter Swan Survey Estimates by Year 2010-2015 Alaska Trumpeter Swan Survey 2010 Analysis - Trends USGS_Map_Index.tif for Alaska Trumpeter Swan Survey Waterfowl Breeding Population Habitat Survey Standard Operating Protocol Update 04-21-2022