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Observations (reduced to detected/not detected) of 45 vertebrate species (seven mammals, seven amphibians, and 31 reptiles) across Southern California pitfall sampling projects conducted between 1995 through 2015. Habitat patch locations of every pitfall sampling project presented in a shapefile. Habitat patches were measured based on the size when pitfall sampling began within each. Sampling projects within the same geographic area may have different sized patches based on date of project sampling and if patch erosion occurred. A matrix of whether each species was expected within each habitat patch's species pool based on range maps and published records is also included. These data support the following publication:...
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This dataset contains data pertaining to ground surface cover in 30 meter plots around a random selection of points within chaparral from Santa Barbara county south to San Diego County in southern California, USA. These data were obtained from historical aerial imagery from 1943 to 1959 and current imagery from 2016 to 2018 and they were compared to quantify changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J., Rustigian‐Romsos, H. and Keeley, J.E., 2022. Fire‐driven vegetation type conversion in southern California. Ecological Applications, p.e2626. https://doi.org/10.1002/eap.2626.
This data release contains mean high water (MHW) shorelines for sandy beaches along the coast of California for the years 1998/2002, 2015, and 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. The smoothed contour line was then quality controlled to remove artifacts, as well as remove any contour tool interpretation of human-made infrastructure (such as jetties, piers, and sea walls), using satellite imagery from ArcGIS.
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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This dataset contains data pertaining to ground surface cover in a 30 meter radius around a random selection of points within San Diego County, California. These data were obtained from aerial imagery for the years 1953 and 2016 and were used to assess changes in cover type over time. These data support the following publication: Syphard, A.D., Brennan, T.J. and Keeley, J.E., 2019. Extent and drivers of vegetation type conversion in Southern California chaparral. Ecosphere, 10(7), p.e02796.
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The spatial data results of USGS surveys for Least Bell's Vireo (Vireo bellii pusillus, LBVI) along the Tijuana River and San Diego River in 2020 to determine abundance and distribution of vireos to facilitate population trend analyses and collect information on dispersal and site fidelity of banded vireos as part of long-term demographic studies at multiple sites.
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Baseline, CMGP, California, CenCal, Central California, All tags...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) along the San Luis Rey River, between College Boulevard in Oceanside and Interstate 15 in Fallbrook, California (middle San Luis Rey River), in 2021. Surveys were conducted from April 13 to July 14 (vireo) and from May 18 to July 13 (flycatcher). We found 180 vireo territories, at least 125 of which were occupied by pairs. The vireo population size decreased by 6 percent from 2020 to 2021. One resident flycatcher, of undetermined breeding status, was observed in the survey area in 2021. He was detected from May 20 to June 4, 2021, and no evidence of pairing or nesting was...
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Data presented are results of surveys for California Gnatcatchers and vegetation sampling conducted in 2015 and 2016 to address two inter-related questions: (1) How have gnatcatchers and their habitat recovered in areas burned by wildfires in 2003, 2007, and 2014?, and (2) What is the current regional occupancy of gnatcatchers throughout their southern California range? Data for the post-fire study were collected in 2015 and 2016, while the regional occupancy survey was conducted in 2016. In 2015, Gnatcatcher occupancy as a function of fire history was derived from 324 points in the following fire categories: 2003-2006 (106 points), 2007-2010 (111 points), and 2011-2014 (107 points). In 2016, points representing...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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Data presented are results of surveys for California gnatcatchers and vegetation sampling conducted in 2015, 2016, and 2020 to address two inter-related questions: (1) How have gnatcatchers and their habitat recovered in areas burned by wildfires in 2003, 2007, and 2014?, and (2) What is the current regional occupancy of gnatcatchers throughout their southern California range? Data for the post-fire study were collected in 2015, 2016, and 2020, while the regional occupancy survey was conducted in 2016, and 2020. In 2015, gnatcatcher occupancy as a function of fire history was derived from 324 points in the following fire categories: 2003-2006 (106 points), 2007-2010 (111 points), and 2011-2014 (107 points). In 2016,...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Baseline, CMGP, California, CenCal, Central California, All tags...
This dataset contains California shoreline change rates derived from mean high water (MHW) shorelines from 1998 (in Central and Southern California) and 2002 (in Northern California) to 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. Within the Digital Shoreline Analysis System (DSAS), end-point rates (EPR) of shoreline change were calculated between the 1998/2002 and the 2016 shorelines at a transect spacing of 50 meters to provide a long-term...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Baseline, CMGP, California, CenCal, Central California, All tags...
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The Central Mojave Special Features shapefile provides point locations for known or potential places where vegetation alliances or unique stands occurred (from 1997-1999) with less than 5 hectares of spatial extent. These designations were provided separately from the Mojave Vegetation Polygons because the target standard for the polygons was a minimum mapping unit (MMU) of 5 hectares, thus methods used at the time to assign labels precluded mapping these special features as polygons. The special features points are still included because it is important to note the known or potential location of vegetation alliances for future mapping at finer spatial resolution. The metadata record (Mojave-Vegetation-Mapping_Special-Features-Points-Metadata.xml)...
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...
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The Central Mojave Vegetation Polygons shapefile represents areas of the Mojave Desert classified into vegetation classes or alliances representative of the area from 1997-1999. The classification of these areas were derived from context gathered in the field data, photographs and additional satellite imagery that is not included in this data release. The original map coverage was preserved and released as a shapefile (mojave_veg_polygons.shp). In contrast to the Special Features Points vegetation classifications (described in the Special Features Points shapefile metadata record and ScienceBase item), the Central Mojave Vegetation Polygons were designated by vegetation alliances that extended 5 hectares or more....
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In coastal areas of the United States, where water and land interface in complex and dynamic ways, it is common to find concentrated residential and commercial development. These coastal areas often contain various landholdings managed by Federal, State, and local municipal authorities for public recreation and conservation. These areas are frequently subjected to a range of natural hazards, which include flooding and coastal erosion. In response, the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data to calculate rates of shoreline change along the conterminous coast of the United States, and select coastlines of Alaska and Hawaii, as part of the Coastal Change Hazards priority...


map background search result map search result map Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Mojave Vegetation Polygons Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Special Features Points Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016 Shoreline change rates along the coast of California from 1998 to 2016 Species Observations from Pitfall Trap Arrays, Species Pool Matrices, and Patch Locations in Southern California from 1995-2015 Rangewide Occupancy and Post-Fire Recovery of California Gnatcatchers in Southern California, 2020 Distribution and Breeding Status of Least Bell’s Vireo Along the San Diego and Tijuana Rivers in San Diego County, California (2020) Distribution and Abundance of Least Bell's Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California in 2021 Vegetation Type Conversion in Southern California Between 1943 and 2018 Rangewide Occupancy and Post-Fire Recovery of California Gnatcatchers in Southern California, 2015-2016 Intersects for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Shorelines of the Central California coastal region (1852-2016) used in shoreline change analysis Long-term shoreline change rates for the Central California coastal region using the Digital Shoreline Analysis System version 5.0 Intersects for the Northern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Shorelines of the Northern California coastal region (1854-2016) used in shoreline change analysis Baseline for the Southern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Intersects for the Southern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Shorelines of the Southern California coastal region (1852-2016) used in shoreline change analysis Long-term shoreline change rates for the Southern California coastal region using the Digital Shoreline Analysis System version 5.0 Distribution and Abundance of Least Bell's Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California in 2021 Vegetation type conversion in chaparral in San Diego County, California, USA between 1953 and 2016 Distribution and Breeding Status of Least Bell’s Vireo Along the San Diego and Tijuana Rivers in San Diego County, California (2020) Rangewide Occupancy and Post-Fire Recovery of California Gnatcatchers in Southern California, 2020 Rangewide Occupancy and Post-Fire Recovery of California Gnatcatchers in Southern California, 2015-2016 Species Observations from Pitfall Trap Arrays, Species Pool Matrices, and Patch Locations in Southern California from 1995-2015 Intersects for the Northern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Shorelines of the Northern California coastal region (1854-2016) used in shoreline change analysis Intersects for the Southern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Long-term shoreline change rates for the Southern California coastal region using the Digital Shoreline Analysis System version 5.0 Shorelines of the Southern California coastal region (1852-2016) used in shoreline change analysis Baseline for the Southern California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Mojave Vegetation Polygons Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Special Features Points Intersects for the Central California coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Long-term shoreline change rates for the Central California coastal region using the Digital Shoreline Analysis System version 5.0 Shorelines of the Central California coastal region (1852-2016) used in shoreline change analysis Vegetation Type Conversion in Southern California Between 1943 and 2018 Shoreline change rates along the coast of California from 1998 to 2016 Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016