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Tracklines and associated observations were mapped and analyzed using ArcMap (ESRI, Redlands, CA). GPS data were recorded in NAD27 map datum and projected to an USGS Albers Equal Area Conic map projection for presentation and subsequent density analyses. Concatenated GPS and observation data were then used to generate point and line coverages in ArcMap (ESRI, Redlands, CA). We designed a custom analytic tool using ArcMap Model Builder that allows for the construction and export of user-specified and effort-adjusted spatial binning of species observations along continuous trackines. For the purposes of this report, we calculated seabird density estimates and marine mammal counts along continuous 3.0-kilometer and...
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Natural resource managers and researchers often need long-term averages of historical and future climate scenarios for their study area yet may not have the resources to make these summaries. This project will provide high quality, detailed maps of historical and projected future climate and hydrologic conditions for California and a finer scale version for southern California. The project will also assess the feasibility of expanding these reference data to the southwestern US and identify the most suitable online data portals for the public to view and analyze the data in support of local initiatives. The map products can be used to assess the impacts of ongoing climate change and to develop climate adaptation...
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.
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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...
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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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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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...
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 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 August 2017, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data near six Southern California Seismic Network (SCSN) recording stations in southern California: CI.OLI Olinda; CI.SRN Serrano; CI.MUR Murrieta; CI.LCG La Cienega; CI.RUS Rush; and CI.STC Santa Clara (Figure 1). These strong-motion recording stations are located inside Southern California Edison electrical substations, critical infrastructures that provide essential services to millions of customers. The primary goals of the seismic survey were to understand the potential for amplified ground shaking and to evaluate lateral variability in shear-wave velocity at these sites. We deployed up to 88 geophones at 2-m or 4-m...
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In May 2019, the U.S. Geological Survey acquired high resolution P- and S-wave seismic data near six seismic network recording stations in San Bernardino County, California: Southern California Seismic Network CI.CLT Calelectic, CI.MLS Mira Loma, CI.CJM Cajon Mountain and CI.HLN Highland; California Strong Motion Instrumentation Program station CE.23542; and US National Strong-Motion Network station NP.5326 (Figure 1). The primary goals of the seismic survey were to better understand the potential for amplified ground shaking, to evaluate lateral variability in shear-wave velocity, and to calculate Vs30 at these sites. We deployed up to 67 DTCC SmartSolo 3-component seismometer systems ("nodes") at 2-m spacing...
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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 for static groundwater-levels measured in about 645 wells during the period of January-April 2016 by the United States Geological Survey (USGS), the Mojave Water Agency, and other local water districts were compiled to construct a regional water-table map. The downloadable shapefile shows the elevation of the water table in the Mojave River and Morongo groundwater basins. This dataset is a digital representation of the contours presented on Plate 1 of Regional Water Table (2016) in the Mojave River and Morongo Groundwater Basins, Southwestern Mojave Desert, California: U.S. Geological Survey Scientific Investigation Map, doi:10.5066/sim3391, published by Meghan C. Dick and Adam R. Kjos. It is a continuation...
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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...
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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...


map background search result map search result map Bird Density and Marine Mammal Counts Based on 7700 Meter Bins in Southern California, 1999-2002 Regional Water Table (2016) in the Mojave River and Morongo Groundwater Basins, Southwestern Mojave Desert, California 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 Species Observations from Pitfall Trap Arrays, Species Pool Matrices, and Patch Locations in Southern California from 1995-2015 High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017 High-resolution seismic data acquired at six seismic network recording stations in San Bernardino County, California in 2019 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 Shorelines of the Central California coastal region (1852-2016) used in shoreline change analysis 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 Rendering High-Resolution Hydro-Climatic Data for Southern California 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 High-resolution seismic data acquired at six seismic network recording stations in San Bernardino County, California in 2019 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) Regional Water Table (2016) in the Mojave River and Morongo Groundwater Basins, Southwestern Mojave Desert, California High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017 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 Shorelines of the Central California coastal region (1852-2016) used in shoreline change analysis Vegetation Type Conversion in Southern California Between 1943 and 2018 Bird Density and Marine Mammal Counts Based on 7700 Meter Bins in Southern California, 1999-2002 Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016 Rendering High-Resolution Hydro-Climatic Data for Southern California