Camera traps deployed with olfactory attractants are used to survey rare and elusive carnivores. Study areas with deep snowpack and rugged terrain present challenges and risks to field personnel, who traditionally must revisit camera stations regularly to refresh attractants. In such locations, alternative overwinter survey protocols that include a persistent attractant would improve both the safety and efficiency of camera-trap surveys. We present a protocol for installing camera traps and automated scent dispensers on trees at above-average maximum snow depth to eliminate the need for interim service visits and to enable standardized surveys to be conducted throughout the year. Our protocol proved to be effective at attracting and detecting numerous and repeated visits by wolverines, fishers, and other carnivores in two montane regions of the western contiguous United States. The volume, timing, and composition of liquid scent lure released by automated scent dispensers can be varied to target multiple species of interest, and the dispenser can be used in situations where bait rewards may influence the behavior of target species and/or pose human safety concerns.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11066567 | PMC |
http://dx.doi.org/10.1002/ece3.11290 | DOI Listing |
J Vet Res
December 2024
Department of Virology, National Veterinary Research Institute, 24-100 Puławy, Poland.
Introduction: In winter 2021/2022, a wolf population in the primeval Białowieża Forest in Poland was struck by an outbreak of severe mange caused by mixed infestations of and mites. We present an epidemiological analysis of this mange which caused significant morbidity and mortality.
Material And Methods: Ten sites known for wolf activity were monitored by camera trapping.
PLoS One
January 2025
Virginia Museum of Natural History, Martinsville, Virginia, United States of America.
The advent of digital wildlife cameras has led to a dramatic increase in the use of camera traps for mammalian biodiversity surveys, ecological studies and occupancy analyses. For cryptic mammals such as mice and shrews, whose small sizes pose many challenges for unconstrained digital photography, use of camera traps remains relatively infrequent. Here we use a practical, low-cost small mammal camera platform (the "MouseCam") that is easy and inexpensive to fabricate and deploy and requires little maintenance beyond camera service.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Biological and Environmental Sciences, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool L3 3AF, UK.
Camera traps offer enormous new opportunities in ecological studies, but current automated image analysis methods often lack the contextual richness needed to support impactful conservation outcomes. Integrating vision-language models into these workflows could address this gap by providing enhanced contextual understanding and enabling advanced queries across temporal and spatial dimensions. Here, we present an integrated approach that combines deep learning-based vision and language models to improve ecological reporting using data from camera traps.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
Laboratory of Wildlife Resources, Gifu University, 1-1 Yanagido, Gifu 501-1193, Japan.
The Chattogram Hill Tracts (CHTs) in Bangladesh have a rich biodiversity, hosting a wide range of wild mammal species, underscoring the importance of systematic monitoring focused on conservation efforts. This study aims to assess the diversity and abundance of small- and medium-sized wild mammal species in Pittachhara Forest in the CHTs. A comprehensive wildlife monitoring survey was conducted in this forest using strategically placed camera traps to identify the wild species diversity, and we evaluated the activity patterns and seasonal variations for the period of February 2023 to August 2024.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!