bioRxivEcology
A trail camera imagery dataset of contrasting shrub and open microsites within the Carrizo Plain National Monument, San Luis Obispo County, California
Taylor Noble, Christopher Lortie, Michael Westphal, H. Scott Butterfield
Abstract
BackgroundCarrizo Plain National Monument is one of the largest remaining patches of San Joaquin Desert left within the Central Valley of California. It is home to many threatened and endangered species including the San Joaquin kit fox, blunt-nosed leopard lizard, and giant kangaroo rat. The dominant plant lifeform is shrubs. The species Ephedra californica comprises a major proportion of the community within this region and likely also provides key ecosystem services. We used motion sensor trail cameras to examine interactions between animals and these shrubs. This technology is a less invasive alternative to other animal surveying methods such as line transects, radio tracking, and spotlight surveys. Cameras were placed within the shrub understory and in the open (i.e. non-canopied) microhabitats at ground level to estimate animal activity.\n\nFindingsTrail cameras were successful in detecting the presence of animal species at shrub and open microhabitats. A total of 20 cameras were deployed from April 1st, 2015 to July 5th, 2015 at paired shrub/open microsites at three locations along Elkhorn Road in Carrizo Plain National Monument (35.1914{degrees} N, 119.7929{degrees} W). Each independent site was approximately 1 km2. Over 440,000 pictures (both of animals and triggers from vegetation moving in the wind) were taken during this time. The trigger rate was very high on the medium sensitivity camera setting in this desert ecosystem, and the rates did not differ between shrub and open microsites. The raw data (.jpeg images) are publicly available for download from GigaDB.\n\nConclusionsMotion sensor trail cameras are an effective, non-invasive alternative survey method for collecting data on presence/absence of desert animals. We detected mammals, reptiles, birds, and also insects in 0.4% of the images. We also successfully detected the Federally-listed blunt-nosed leopard lizard. A more extensive array of cameras within the Carrizo Plain National Monument could thus be an effective tool to estimate the presence of this species along with the presence of other animals.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Using remote camera traps to assess mammal and bird assemblages across a complex environmental landscape
Carl S. Cloyed, Laura R. Cappelli, … Anthony I. Dell·bioRxiv·Feb 17, 2017
- Image surveys, agricultural landowners and residents hold the key: optimizing local ecological knowledge to reveal carnivore communities
Elena Fernández‐Vizcaíno, Javier Fernández López·bioRxiv·Apr 29, 2026
- CameraTrapDetectoR: Automatically detect, classify, and count animals in camera trap images using artificial intelligence
M. A. Tabak, D. Falbel, … R. S. Miller·bioRxiv·Feb 7, 2022
- WildObserve: Camera-trap software that learns species labels during review and estimates occupancy and abundance
Michael A. Tabak·bioRxiv·Oct 13, 2026
- Effects of scent lure on camera trap detections vary across mammalian predator and prey species
D. Holinda, J. Burgar, C. Burton·bioRxiv·Jan 30, 2020
- One size does not fit all: a novel approach for determining the Realised Viewshed Size for remote camera traps
Brendan M. Carswell, Tal Avgar, … Eric Vander Wal·Methods in Ecology and EvolutionPeer-reviewed·Feb 27, 2025