California Department of Fish and Wildlife 20190523 vector digital data https://www.wildlife.ca.gov/Data/BIOS ftp://ftp.wildlife.ca.gov/BDB/GIS/BIOS/Public_Datasets/2800_2899/ds2825.zip Automated acoustic recorders were deployed at 331 sites across the Mojave Desert ecoregion and 263 sites across the Great Valley ecoregion between March and July of 2016 and 2017. At each survey location, an SM3-BAT bioacoustic recorder was deployed with both an SMM-A1 acoustic microphone and an SMM-U1 ultrasonic microphone (Wildlife Acoustics, Inc., Maynard, MA, USA, hereafter termed ARU). Automated recorders were cable locked to securely-placed T-posts 2 meters above the ground, and were located within 10 meters of the site center at a relatively open spot not occupied by thick vegetation. The ARUs were programmed to record three 5-minute sessions each morning during the survey period, with the first session at 30 minutes before sunrise, the second at sunrise, and the third at 30 minutes after sunrise. The ARUs were also programmed to alternate between 7.5-minute audible acoustic recordings and 22.5-minute triggered, full-spectrum ultrasonic recordings from 30 minutes before sunset until 0400 the following morning, at which time the ultrasonic recordings ceased; the 7.5-minute acoustic recordings continued every 30 minutes until the 5-minute dawn chorus recordings began at 30 minutes before sunrise. Deployments lasted for seven consecutive days, on average. Following the survey, Kaleidoscope Pro version 4.3.2 with the KPro classifier (Wildlife Acoustics, Inc., Maynard, MA, USA) was used to auto-classify file recordings to the species level for bats. Using the probabilistic output from the classifier, files were filtered to retain only those determined to have a misidentification probability less than 0.05. All of the remaining files were then manually reviewed (i.e., examination of diagnostics and spectrograms) to confirm or reject the auto-classified species identification. The automated and post-validated datasets were analyzed using five occupancy modeling frameworks, which differed in how they did or did not address false positive detections. In response to a drought State of Emergency declared by the Governor in January 2014 and subsequent executive orders, the California Department of Fish and Wildlife (CDFW) was charged to implement projects that respond to drought conditions through habitat restoration and other measures. To provide scientific information necessary to meet these conservation challenges, leadership at CDFW prioritized establishment of a statewide resource assessment program, one component of which would be to monitor wildlife populations and their vulnerability to drought stressors. The purpose of Terrestrial Species Stressor Monitoring (TSM) was to begin the monitoring process by collecting baseline survey data on a wide variety of common wildlife species throughout the Great Valley and Mojave Desert ecoregions. Data collected at some or all study sites include infrared camera trap images, ultrasonic acoustic recordings, audible acoustic recordings, visual encounter surveys for reptiles and amphibians, avian point counts, and vegetation surveys. The data will be used to estimate occupancy and abundance of wildlife species and to model associations with drought and other habitat conditions. Complete None planned -122.262150 -113.842257 40.217404 33.862025 None TSM, Terrestrial Species Stressor Monitoring, drought, central valley, Great Valley, Mojave Desert, environment, California, biodiversity, bird, bat, reptile, amphibian, vegetatio, acoustic, acoustic survey, bat ISO 19115 Topic Categories biota environment None California, Great Valley, Mojave Desert None License: This work is licensed under Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Using the citation standards recommended for BIOS datasets (https://www.wildlife.ca.gov/Data/BIOS/Citing-BIOS) satisfies the attribution requirements of this license.Disclaimer: The State makes no claims, promises, or guarantees about the accuracy, completeness, reliability, or adequacy of these data and expressly disclaims liability for errors and omissions in these data. No warranty of any kind, implied, expressed, or statutory, including but not limited to the warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose, and freedom from computer virus, is given with respect to these data. California Department of Fish and Wildlife-WFD-WLB Brett Funas Wildlife Ecologist (530) 227-3998 Brett.Furnas@wildlife.ca.gov California Department of Fish and Wildlife-WFD-WLB Brett Funas Wildlife Ecologist (530) 227-3998 Brett.Furnas@wildlife.ca.gov Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270 Vector GT-polygon composed of chains 12356 NAD 1983 California Teale Albers 34.0 40.5 -120.0 0.0 0.0 -4000000.0 coordinate pair 0.0001 0.0001 meter D North American 1983 GRS 1980 6378137.0 298.257222101 ds2825 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. SpeciesCode Shorthand code refering to a specific species CName Common name of species detected on autorecorder SName Scientific name of species detected on autorecorder Period Nightly recording session during which detection was made Night Date recording was made N_Files Number of individual sound clips with calls assigned to this particular species for a given site, night, and recording period Manual Manual assessment of auto-detector species ID. C = confirm; R = reject; species code is given only when an alternate species is reliably identified. Files Number of individual sound clips associated with manual identification Notes Notes about manual vetting SiteID Unique study site identifier Ecoregion USDA Ecoregion Deployment Date of initial recorder deployment at this location Lifeform Type of generalized habitat at this location Shape_Length Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20210604 California Department of Fish and Wildlife-WFD-WLB Brett Funas Wildlife Ecologist (530) 227-3998 Brett.Furnas@wildlife.ca.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time