These data include potential Yuma Ridgway’s rail (Rallus obsoletus yumanensis) habitat classified from concurrently occurring Landsat images taken during telemetry field studies of and call count surveys for Yuma Ridgway's rail in 2016.

Data were obtained as part of a project assessing risk to the federal and California listed endangered Yuma Ridgway's rail (Rallus obsoletus yumanensis) populations resulting from selenium contaminated agricultural runoff and to inform habitat restoration and management decisions. Four data sets were produced and used to analyze patterns of Yuma Ridgway’s rail (Rallus obsoletus yumanensis, renamed from Rallus longirostris yumanensis [R. longirostris yumanensis retained in taxonomy section until further updated in ITIS system, https://www.itis.gov/submit.html]) occupancy and inter-marsh movements and to estimate rail abundance and regional population size to assess extent of selenium exposure of Yuma Ridgway’s rail and support management of rail and their habitats at the Salton Sea. These data include site information for call count stations used to monitor secretive marshbirds, specifically Yuma Ridgway's rail, at and near the Salton Sea and Sonny Bono Salton Sea National Wildlife Refuge (SBSSNWR) in 2016 and complete count information for four species of secretive marshbird [Yuma Ridgway's rail, Virginia rail (Rallus limicola), Sora (Porzana carolina), American bittern (Botaurus lentiginosus)], detected among surveys at those sites. The data for call counts conducted between March 8 and April 17, 2016 for the four species is included in the file named Call Count Data.csv and data for call count stations is included in the file name Call Count Station Data.csv. Also included in this release is location information between April 4 and November 17, 2016 for 15 Yuma Ridgway’s rails at the Salton Sea marked with radio-downloaded GPS transmitters (YURIRA Locations.csv). Additional data includes potential Yuma Ridgway’s rail habitat classified from concurrently occurring land satellite (USGS Landsat) imagery recorded on March 20, 2016 corresponding with telemetry field studies of and call count surveys for Yuma Ridgway's rail (yurira_hab.tif). For more information about methods relating to these data please refer to the subject USGS Open-file Report (Ricca and others, 2022).

These data include site information for call count stations used to monitor secretive marshbirds, specifically Yuma Ridgway's rail (Rallus obsoletus yumanensis), at and near the Salton Sea and Sonny Bono Salton Sea National Wildlife Refuge (SBSSNWR) in 2016 and complete count information for four species of secretive marshbird [Yuma Ridgway's rail, Virginia rail (Rallus limicola), Sora (Porzana carolina), American bittern (Botaurus lentiginosus)], detected among surveys at those sites between March 8 and April 17, 2016. Also included is location information from Yuma Ridgway’s rails marked with radio-downloaded GPS transmitters and tracked between April 4 and November 17, 2016.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

This database is a compilation of marine mammal and seabird information collected along the Pacific coast of the United States and U.S. territories in the Pacific from surveys that were solicited among regional research communities and persons. Information from standardized surveys was gathered from 2015 to 2018 and includes programs and researchers who collected information regarding seabirds since 1960.

The dataset includes the coordinates, collection year, age, band number, studbook number, and 54 microsatellite genetic markers for 186 individual light-footed Ridgway's rails, Rallus obsoletus levipes.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

We completed four distinct projects to collect baseline data at varying spatial and temporal scales. First, we used data from aerial photographic surveys conducted from 1989-2014 to investigate region-wide trends in the populations of Common Murres and Brandt’s Cormorants. We used 173 observations of Common Murre colony abundance at 14 colonies and 123 observations of Brandt’s Cormorant nest abundance at 10 colonies over the 26-year study period. Additionally, aerial photographic surveys conducted in 2014 were used to document location and abundance of Common Murre, Brandt’s Cormorant, and Double-crested Cormorant across the NCSR. Second, at a more localized scale, we monitored Common Murre reproduction, foraging effort, and diet in 2014 at Castle Rock National Wildlife Refuge using a robotic, remotely-controlled video recording system. Although this is only one of the seabird colonies in the NCSR, it the largest and served to inform our understanding of the mechanisms of population change across the region. Common Murre are very visible and thus ideal for monitoring fine scale patterns in reproduction and changing diet. We measured date of nest initiation, hatching success, fledging success, overall reproductive success, time allocation, provisioning rate, and diet composition via the video. Information gained from these surveys were combined with comparable data from 2007-2013 at Castle Rock to assess baseline condition and variability of these metrics over an 8-year period. Third, in 2014-2015 we conducted ground-based surveys of coastally breeding seabirds inside and outside of six MPAs to establish a framework for continued MPA monitoring. For this, we conducted intensive monitoring of six species likely to benefit from MPA establishment: Pigeon Guillemot, Brandt’s Cormorant, Pelagic Cormorant, Double-crested Cormorant, Western Gull, and Black Oystercatcher. We collected data on breeding population size, breeding productivity, foraging rates and rates of human-caused disturbance inside and outside of each MPA. We monitored productivity by following individual nests visible from land and calculated annual breeding productivity as number of fledglings produced per breeding pair. We monitored foraging from land-based observation points, recording all birds foraging within a 1 km radius of an observation point. We calculated foraging rates as number of birds foraging per hour of observation. We recorded all human-caused disturbances observed during any land-based survey and calculated disturbance rates as number of disturbances per hour of observation.