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Borealis
Fisher, Jason; Murray, Sean; Barnas, Andrew; Smith, Rebecca 2024-07-12 Data on boreal mammal communities from Alberta, Canada, conducted for the joint Federal-Provincial Oil Sands Monitoring program (Terrestrial Biological Monitoring group) from 2021–2022. These data are from two different Landscape Units (LU3 and LU2). The data describes the sampling locations of remote infrared camera arrays, the locations of those arrays, the mammal data collected from the cameras, and the landscapes surrounding those arrays.
University of Victoria Dataverse Translation missing: fr.blacklight.search.logo
Borealis
Fisher, Jason; Murray, Jason; Barnas, Andrew 2022-03-30 Data on boreal mammal communities from Alberta, Canada, conducted for the joint Federal-Provincial Oil Sands Monitoring program (Terrestrial Biological Monitoring group). These data are from Landscape Unit 3. The data describes the sampling locations of remote infrared camera arrays, the locations of those arrays, the mammal data collected from the cameras, and the landscapes surrounding those arrays.
University of Victoria Dataverse Translation missing: fr.blacklight.search.logo
Borealis
Fisher, Jason; Barnas, Andrew; Smith, Rebecca; Arthurs, Emerald; Dyck, Marissa; Braun, Megan 2024-07-12 Data on boreal mammal communities from Alberta, Canada, conducted for the joint Federal-Provincial Oil Sands Monitoring program (Terrestrial Biological Monitoring group) from 2022–2023. These data are from four different Landscape Units (LU1, LU13, LU15, and LU21). The data describes the sampling locations of remote infrared camera arrays, the locations of those arrays, the mammal data collected from the cameras, and the landscapes surrounding those arrays.
University of Victoria Dataverse Translation missing: fr.blacklight.search.logo
Borealis
Fisher, Jason; Ladle, Andrew; Boczkulak, Hannah; Boucher, Nicole; Boyce, Mark 2023-05-26 Increasing resource extraction and human activity are reshaping species’ spatial distributions in human-altered landscape and consequently impacting the dynamics of interspecific interactions, such as between predators and prey. To evaluate the effects of industrial features and human activity on the occurrence of wolves (Canis lupus), we deployed an array of 122 remote wildlife camera traps in Alberta's Rocky Mountains and foothills near Hinton, Canada in 2014. Using generalized linear models, we compared the occurrence frequency of wolves at camera sites to natural land cover, industrial disturbance (forestry and oil/gas exploration), human activity (motorized and non-motorized), and prey availability (moose, Alces alces; elk, Cervus canadensis; mule deer, Odocoileus hemionus; and white-tailed deer, Odocoileus virginianus). Industrial block features (well sites and cutblocks) and prey (elk and mule deer) availability interacted to influence wolf occurrences, but models including motorized and non-motorized human activity were not strongly supported. Wolves occurred infrequently at sites with high densities of well sites and cutblocks, except when elk or mule deer were frequently detected. Our results suggest that wolves risk using industrial block features when prey occur frequently to increase predation opportunities, but otherwise avoid them due to risk of human encounters. Effective management of wolves in anthropogenically-altered landscapes thus requires the simultaneous consideration of industrial block features and populations of elk and mule deer.
University of Victoria Dataverse Translation missing: fr.blacklight.search.logo
Borealis
Fisher, Jason; Barnas, Andrew; Murray, Sean 2022-03-29 Data on boreal mammal communities from Alberta, Canada, conducted for the joint Federal-Provincial Oil Sands Monitoring program (Terrestrial Biological Monitoring group). The data describes the sampling locations of remote infrared camera arrays, the locations of those arrays, the mammal data collected from the cameras, and the landscapes surrounding those arrays.

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