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Predicting Spatial Risk of Wolf-Cattle Encounters and Depredation
Author
Clark, P.E.
Chigbrow, J.
Johnson, D.
Larson, L.
Nielson, R.M.
Louhaichi, M.
Roland, T.
Williams, J.
Publisher
Elsevier Inc.
Publication Year
2020-01
Body

Spatial variability in terrain, vegetation, and other features affect cattle and wildlife distribution on mountainous grazing lands of the western United States. Yet we have a poor understanding of how this spatial variability influences risk of wolf-cattle encounters and associated depredation. This knowledge gap severely limits our capacity to prevent or mitigate wolf-cattle conflict. Research addressing this problem was conducted in 2009−2011 at four study areas in western Idaho to evaluate models and mapping tools for predicting spatial risk of wolf-cattle encounters. Lactating beef cows grazing these study areas were instrumented with Global Positioning System (GPS) collars and tracked at 5-min intervals throughout the summer grazing season. Resource selection function (RSF) models, based on negative binomial regression, were developed from these GPS data and used to map the relative probability of cattle use in each study area. A wolf RSF model originally developed by Ausband et al. (2010) was applied to map study-area habitat types in terms of their relative suitability as wolf rendezvous sites. Spatial relationships between cattle and wolf selectivity patterns were used to classify and map wolf-cattle encounter risk to 5 classes (very high to very low) across each study area during the wolf rendezvous period (15 June−15 August). Validation analyses using GPS-based, wolf-cattle encounter observations (n = 200) revealed 84% of observed encounters occurred in areas of high- or very high−encounter risk (class 4 or 5). About 75% of confirmed wolf depredations recorded among three of four study areas were located in areas of high or very high risk. This new predictive understanding of wolf-cattle encounter risk will greatly aid livestock producers, resource managers, and policy makers in more effectively applying husbandry practices, allocating mitigation resources, and developing conflict mitigation plans and policies applicable throughout the mountainous western United States and potentially other regions of the world where wolves and cattle come into conflict. © 2019

Language
en
Resource Type
Text
Document Type
Journal Issue/Article
Digital Object Identifier (DOI)
10.1016/j.rama.2019.08.012
Additional Information
Patrick E. Clark, Joe Chigbrow, Douglas E. Johnson, Larry L. Larson, Ryan M. Nielson, Mounir Louhaichi, Tyanne Roland, and John Williams "Predicting Spatial Risk of Wolf-Cattle Encounters and Depredation," Rangeland Ecology and Management 73(1), 30-52, (2 January 2020). https://doi.org/10.1016/j.rama.2019.08.012
ISSN
1550-7424
OAI Identifier
oai:repository.arizona.edu:10150/679430
Journal Volume
73
Journal Number
1
Journal Pages
30-52
Collection
Rangeland Ecology & Management (REM)
Journal Name
Rangeland Ecology and Management
Keywords
behavior
Bos taurus
Canis lupus
encounter risk
mapping
resource selection
behavioral ecology
canid
cattle
encounter rate
GPS
grazing management
mapping method
predation risk
prediction
resource selection
risk assessment
spatial analysis
spatial variation
Idaho
United States
Bos
Bos taurus
Canidae
Canis lupus