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This dataset provides bi-monthly data on seed biomass collected in shallow water habitats across the fresh to saline gradient at coastal sites in Barataria Bay, Louisiana. This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives and the South Central Climate Adaptation Science Center. An alternate reference to this product can be found here: https://www.sciencebase.gov/catalog/item/5a78c158e4b00f54eb1e84a6.
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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...
This dataset consists of the current distribution (2000s) of mangrove forests in the southeastern U.S. This dataset was created from the current best available mangrove data on a state specific basis. Florida mangrove data was extracted from Florida Landuse Land Cover Classification System (FLUCCS). For Louisiana, we used observations of mangrove stands from aerial surveys by Michot et al. (2010). Mangrove presence in Texas came from maps produced by Sherrod & McMillan (1981) and the NOAA Benthic Habitat Atlas of Coastal Texas (Finkbeiner et al. 2009). Please note that this map depicts the distribution of mangrove forests and not mangrove individuals. More detailed information on this dataset is available in Osland...
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The Red River Stakeholder Engagement project’s primary objective was to uncover areas of concern for stakeholders who live, work, and play along the Red River Basin. It examined the complexity of the cultural-geographic landscape across the Red River Basin. By focusing on both the geographic and the cultural, we gain a better understanding of how individuals, communities, and organizations interact with the basin and with one another, how they arecurrently experiencing changes, and what they perceive a changing climate means for them.This cultural-geographic approach recognizes that stakeholders’ concerns, priorities, and actions likely vary across space-and also vary in their cultural significance. For example,...
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This dataset consists of sample descriptions and radiocarbon age data from coastal environments on Montague Island, Alaska, analyzed at the National Ocean Sciences Accelerator Mass Spectrometry Facility.
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This is the GeoPackage (“TMG_AdditionalArea_Trans.gpkg”) that contains the layer (“main.TMG_Area_Trans”) depicting the spatial extent of the four Additional Survey Area transects that are surveyed during the annual MBM-AK TLSA molting goose aerial surveys. This GeoPackage (NAD83; ESPG: 3338) was created by Michael Swain in August 2021 and subsequently emailed to Maggie Harings. It includes waterbody units, waterbody types, and waterbody perimeter as well as their areas.Transects do not exist for Cape Simpson as this area is adequately assessed by conducting aerial surveys for lakes only. Piasuk River Delta area is surveyed using a combination of aerial lake surveys and transects. Colville River Delta and Atigaru...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ALPINE/TUNDRA, ANIMALS/VERTEBRATES, ARCTIC TUNDRA, BIOLOGICAL CLASSIFICATION, BIOLOGICAL RECORDS, All tags...
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The WBPHS is conducted by flying an aircraft along a set of segment lines. (One or more contiguous segments comprise a transect.) The geographic coordinates in WBPHS_Segment_Endpoints.csv represent the beginning and ending points of the segment lines in Alaska and Old Crow Flats (Yukon Territory) strata 1-12. The point coordinates in this file have been incorporated into various products (e.g., a GPS waypoints file) to aid in survey-flight navigation. The coordinates are in decimal degrees, WGS84 datum.The set of segments contained in this file was established in 1964. In the years 1957-1963, the survey design included many, but not all, of these segments. Additional segments were flown in some or all years during...
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In many areas surveyed during the North American WBPHS, ground surveys are conducted in conjunction with the aerial surveys to derive annual visibility correction factors (VCFs) for the aerial survey crews, which are used during analyses to adjust for detection bias. Due to the remoteness of strata 1–12, ground surveys are not conducted there. Instead, a set of fixed VCFs by species and basic habitat type (strata 1–7 = boreal forest; strata 8–11 = tundra; stratum 12) are used. The fixed VCFs that were used through 1991 were derived from work done in WBPHS prairie strata. During the years 1985–1991, efforts were made by the FWS Division of Migratory Bird Management-Alaska Region (MBM-Alaska) to develop more appropriate...
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WBPHS_Stratum_Areas.csv is a table that lists the area measurements (in square miles) for strata 1-12, as measured and adopted by survey designers in 1974. These measurements are used by MBM-AK in analyses to produce bird abundance estimates by species and stratum.
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These are the images associated with the project, including: (1) OriginalImages: original 863 images provided to West Inc from USFWS and others for model training; (2) YoloSliced: 1897 programmatically cropped original images used for training a YOLO Model (300 x 300 pixels); (3) OriginalImages_Box: 785 annotated images; (4) YoloSliced_Box: 1897 annotated sliced images.
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Nutrient Reduction is an indicator of the Midwest Landscape Initiative’s (MLI) 2023 Midwest Conservation Blueprint. The Blueprint is a basemap of priority lands and waters for conservation across the Midwest consisting of over 20 social and environmental values representing diverse interests across society. This indicator was chosen as a targetable, important feature of the MLI goals that will be used to track conditions over time and prioritize areas for conservation. Indicators were defined through elicitation and prioritization exercises with federal and state participants. Criteria for the indicators includes 1) actionable, 2) measurable, 3) relevant to multiple groups across the region, and/or 4) representative...
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The Highly Altered Areas Mask is an input of the Midwest Landscape Initiative’s (MLI) 2023 Midwest Conservation Blueprint. The Blueprint is a basemap of priority lands and waters for conservation across the Midwest consisting of over 20 social and environmental values representing diverse interests across society. For all of our input indicator layers, we use this mask to remove the most highly altered areas on the landscape from our datasets. These areas include the highest-intensity urban development, plus large roads. By removing these select areas, we help the prioritization algorithm of the Blueprint to de-prioritize pixels at the edges of the most altered areas, which in turn leads to more connected hubs in...
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This mapping project was a collaboration among the U.S. Fish and Wildlife Service (Service) and staff from the Arkansas Game and Fish and Natural Heritage Commissions. It provides general information on the potential environmental risk to species of concern and sensitive habitats from proposed wind energy projects in Arkansas. According to the Land-Based Wind Energy Guidelines, environmental risks include direct impacts e.g., collisions with turbines and associated infrastructure, habitat loss or degradation from turbines and infrastructure, habitat fragmentation, displacement or behavioral changes, and indirect impacts e.g., reduced nesting and breeding densities and the social ramifications of those reductions,...
This contain a zip folder of comma delimited (CSV) files for each of the 19 tables in the report. It is produced automatically upon compiling the R Quarto code. Column headers are difference than in the tables in the report but order is exactly the same. Refer to the report to understand meaning of the columns. Each cell of the tables contain a management index estimate or the standard error of the estimate.
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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...
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This collection contains the original “raw” survey data that were recorded and transcribed by each observer during the Yukon-Kuskokwim Delta (YKD) Aerial Breeding Pair Survey. Left-front and right-front seat observers recorded data on geese, swans, and cranes since 1985, while data on eiders, ducks, and waterbirds was recorded by a right-rear seat observer since 1989. These raw transcribed data should be used to produce updated quality-control (QC) datasets by running the quality assurance/quality control script “AKaerial.R” whenever the quality control procedures are revised or modified. The data files in this collection were named using the following naming convention: YKD(YKG)YYYY_RawObs_OOOO, where YKD=Duck...
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This R code (Nest_Cards_QC.R) is used to process the raw legacy nest card data (1985 - 2019) and produce the quality controlled legacy nest card data for analysis and sharing. This code does not quality control the double searched plots (R2 plots in 1995-99), which is done in the file ‘PrepData.R’. Basic operations include transforming missing value to a common code, transforming other variable to match the data dictionary for nest cards, and resolving non-unique observer initials. The code requires the raw data (“1985-2019_Nest Cards_10-24-19_cleaned.xlsx”) and the table of observer names (“Observer Names_1985-2019_10-24-19.xlsx”). The code writes the QC nest card file “Nest_Cards_1985_2019_QC.csv”. Mostly obseration...
Categories: Data, Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
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Observer-specific population indices for the USFWS Region Migratory Bird Management Arctic Coastal Plain study area. The survey consists of low-level aerial observations of waterfowl on a stratified strip transect design. The resulting data frame is several indices separated by observer and calculated using a standard ratio estimator. These data are output from the R package AKaerial and are also available within that package, see https://github.com/USFWS/AKaerial. The data used to produce these estimates contain known errors. Many but not all of these errors are corrected within the R package AKaerial. These data are presented for historical purposes only. See https://github.com/USFWS/ACP-Mapping and comments within...
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Subduction zones are home to the most seismically active faults on the planet. The shallow megathrust interface of subduction zones host our largest earthquakes, and are the only faults capable of M9+ ruptures. Despite these facts, our knowledge of subduction zone geometry - which likely plays a key role in determining the spatial extent and ultimately the size of subduction zone earthquakes - is incomplete. Here we calculate the three- dimensional geometries of all active global subduction zones. The resulting model - Slab2 - provides for the first time a comprehensive geometrical analysis of all known slabs in unprecedented detail.
map background search result map search result map Beach Nourishment in the Gulf of Mexico Red River Cultural Geographic Visualization Seed biomass from shallow coastal water areas along a salinity gradient in Barataria Bay, Louisiana (2015) Slab2 - A Comprehensive Subduction Zone Geometry Model, Sumatra-Java Region Invasive and Problematic Plant Stressors for Riparian Areas in the Chihuahuan Desert Arkansas Wind Wildlife and Habitat Risk Map 2023 Alaska Goose, Swan, and Crane Population Indices Tabular Data Nutrient Reduction Highly Altered Areas Mask Radiocarbon Data from Coastal Environments on Montague Island, Alaska Teshekpuk Lake Alaska Molting Goose Additional Survey Area Transects GeoPackage Waterfowl Breeding Population Habitat Survey Alaska Segment Endpoints Waterfowl Breeding Population Habitat Survey Alaska Species Visibility Correction Factors data Waterfowl Breeding Population Habitat Survey Alaska Stratum Areas data Automated Sea Duck Counts from Aerial Imagery: Imagery Files Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Alaska Yukon Delta Nest Plot Distance Sampling Field Protocol Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Radiocarbon Data from Coastal Environments on Montague Island, Alaska Teshekpuk Lake Alaska Molting Goose Additional Survey Area Transects GeoPackage Alaska Yukon Delta Nest Plot Distance Sampling Field Protocol Alaska Yukon Delta Nest Plot Survey Legacy Nest Card Quality Control R Code Alaska Yukon-Kuskokwim Delta Aerial Survey Raw Transcribed Data Arkansas Wind Wildlife and Habitat Risk Map Seed biomass from shallow coastal water areas along a salinity gradient in Barataria Bay, Louisiana (2015) Alaska Arctic Coastal Plain Aerial Survey Expanded Index Estimates 2007-2023 Red River Cultural Geographic Visualization Beach Nourishment in the Gulf of Mexico Invasive and Problematic Plant Stressors for Riparian Areas in the Chihuahuan Desert Nutrient Reduction Highly Altered Areas Mask Waterfowl Breeding Population Habitat Survey Alaska Segment Endpoints Waterfowl Breeding Population Habitat Survey Alaska Species Visibility Correction Factors data Waterfowl Breeding Population Habitat Survey Alaska Stratum Areas data Slab2 - A Comprehensive Subduction Zone Geometry Model, Sumatra-Java Region Automated Sea Duck Counts from Aerial Imagery: Imagery Files 2023 Alaska Goose, Swan, and Crane Population Indices Tabular Data