Mojave Desert
Basic information
Sample name: Mojave Desert
Reference: L. N. Rich, S. R. Beissinger, J. S. Brashares, and B. J. Furnas. 2019. Artificial water catchments influence wildlife distribution in the Mojave Desert. Journal of Wildlife Management 83(4):855-865 [ER 3514]
Geography
Country: United States
State: California
Coordinate: 34° 53' N, 115° 43' W
Coordinate basis: based on nearby landmark
Geography comments: "Our study area was in the southern portion of the Mojave Desert ecoregion of California"
Coordinates based on the Mojave National Preserve, located in the study area
"Elevations range from 147–2,414 m"
Coordinates based on the Mojave National Preserve, located in the study area
"Elevations range from 147–2,414 m"
Environment
Habitat: desert/xeric shrubland
Protection: other protected area
Substrate: ground surface
Disturbance: grazing
Habitat comments: "Rainfall is limited, with just 0–20 mm of precipitation per month"
"The dominant plant species is creosote scrub, but the area encompasses a mosaic of vegetation types including saltbrush, Joshua trees, single-leaf pinyon, and mesquite"
"Most of the land is designated as federally protected, or as recreation management areas"
"Federally protected land is used primarily for recreational purposes, with limited livestock grazing"
"The dominant plant species is creosote scrub, but the area encompasses a mosaic of vegetation types including saltbrush, Joshua trees, single-leaf pinyon, and mesquite"
"Most of the land is designated as federally protected, or as recreation management areas"
"Federally protected land is used primarily for recreational purposes, with limited livestock grazing"
Methods
Life forms: bats,carnivores,ungulates,other small mammals,birds
Sampling methods: baited,automatic cameras,call recordings
Sample size: 5760 captures or sightings
Years: 2016, 2017
Nets or traps: 200
Net or trap nights: 6365
Camera type: digital
Cameras paired: no
Sampling comments: "We surveyed 200 sites between March and July of 2016–2017"
"We identified survey locations by first selecting a spatially balanced random sample of hexagons ... (hexagon radius is ∼2.6 km)"
"We then randomly selected 1–3 survey locations within each hexagon, which were spaced by 1–2 km and stratified by vegetation community"
"At each survey location, we concurrently deployed a PC900 camera trap (Reconyx, Holmen, WI, USA) and a SM3-BAT bioacoustic recorder with microphone (Wildlife Acoustics, Inc., Maynard, MA, USA)"
"We cable-locked cameras and acoustic recorders to securely placed T-posts 1 m and 2 m above the ground, respectively; T-posts were separated by ≥30 m"
"We deployed cameras for an average of 34 ± 7.6 (SD) days and baited them during their initial deployment with a 250-g salt lick, 100 mL of rolled oat-peanut butter mixture, and 150 g of fish cat food"
"We programmed cameras to take 3 photos at each trigger event, with a delay of 1 second between trigger events"
For bird identification: "We programmed acoustic recorders to record 3 5-minute sessions on 3 consecutive days during the survey period"
"The first session was at 30 minutes before sunrise, the second at sunrise, and the third at 30 minutes after sunrise" (for a total of 1794 recordings)
For bat identification: "We also programmed the acoustic recorders to record full spectrum (i.e., 6–192 kHz) ultrasonic triggers from 30 minutes before sunset until 0400 the following morning for 8 consecutive days on average (range = 3–10 days)" (for a total of 1574 acoustic recorder nights)
"We used Kaleidoscope Pro version 4.3.2 with the KPro classifier (Wildlife Acoustics, Maynard, MA, USA) to auto-classify file recordings to the bat species level" (which were then manually reviewed)
"We identified survey locations by first selecting a spatially balanced random sample of hexagons ... (hexagon radius is ∼2.6 km)"
"We then randomly selected 1–3 survey locations within each hexagon, which were spaced by 1–2 km and stratified by vegetation community"
"At each survey location, we concurrently deployed a PC900 camera trap (Reconyx, Holmen, WI, USA) and a SM3-BAT bioacoustic recorder with microphone (Wildlife Acoustics, Inc., Maynard, MA, USA)"
"We cable-locked cameras and acoustic recorders to securely placed T-posts 1 m and 2 m above the ground, respectively; T-posts were separated by ≥30 m"
"We deployed cameras for an average of 34 ± 7.6 (SD) days and baited them during their initial deployment with a 250-g salt lick, 100 mL of rolled oat-peanut butter mixture, and 150 g of fish cat food"
"We programmed cameras to take 3 photos at each trigger event, with a delay of 1 second between trigger events"
For bird identification: "We programmed acoustic recorders to record 3 5-minute sessions on 3 consecutive days during the survey period"
"The first session was at 30 minutes before sunrise, the second at sunrise, and the third at 30 minutes after sunrise" (for a total of 1794 recordings)
For bat identification: "We also programmed the acoustic recorders to record full spectrum (i.e., 6–192 kHz) ultrasonic triggers from 30 minutes before sunset until 0400 the following morning for 8 consecutive days on average (range = 3–10 days)" (for a total of 1574 acoustic recorder nights)
"We used Kaleidoscope Pro version 4.3.2 with the KPro classifier (Wildlife Acoustics, Maynard, MA, USA) to auto-classify file recordings to the bat species level" (which were then manually reviewed)
Metadata
Sample number: 3830
Contributor: Benjamin Carter
Enterer: Benjamin Carter
Created: 2021-06-21 12:10:38
Modified: 2021-06-21 02:20:54
Abundance distribution
44 species
0 singletons
total count 5760
extrapolated richness: 44.9
Fisher's α: 6.479
geometric series k: 0.9134
Hurlbert's PIE: 0.9415
Shannon's H: 3.2440
Good's u: 1.0000
Each square represents a species. Square sizes are proportional to counts.
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