Boczulak Hannah, Boucher Nicole P, Ladle Andrew, Boyce Mark S, Fisher Jason T
School of Environmental Studies University of Victoria Victoria British Columbia Canada.
Department of Biological Sciences University of Alberta Edmonton Alberta Canada.
Ecol Evol. 2023 Jun 28;13(6):e10224. doi: 10.1002/ece3.10224. eCollection 2023 Jun.
Increasing resource extraction and human activity are reshaping species' spatial distributions in human-altered landscape and consequently shaping 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 (), we used wildlife detection data collected in 2014 from an array of 122 remote wildlife camera traps in Alberta's Rocky Mountains and foothills near Hinton, Canada. 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, ; elk, ; mule deer, ; and white-tailed deer, ). Industrial block features (well sites and cutblocks) and prey (elk or mule deer) availability interacted to influence wolf occurrence, 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.
资源开采的增加和人类活动正在重塑人类改变的景观中物种的空间分布,从而塑造种间相互作用的动态,例如捕食者与猎物之间的相互作用。为了评估工业特征和人类活动对狼()出现的影响,我们使用了2014年从加拿大艾伯塔省辛顿附近落基山脉和山麓的122个远程野生动物相机陷阱阵列收集的野生动物检测数据。使用广义线性模型,我们将相机站点狼的出现频率与自然土地覆盖、工业干扰(林业和石油/天然气勘探)、人类活动(机动和非机动)以及猎物可获得性(驼鹿,;麋鹿,;骡鹿,;和白尾鹿,)进行了比较。工业区块特征(油井场地和采伐区)和猎物(麋鹿或骡鹿)的可获得性相互作用影响狼的出现,但包括机动和非机动人类活动的模型没有得到有力支持。在油井场地和采伐区密度高的地点,狼很少出现,除非经常检测到麋鹿或骡鹿。我们的结果表明,当猎物频繁出现以增加捕食机会时,狼会冒险利用工业区块特征,但否则会因遇到人类的风险而避开它们。因此,在人为改变的景观中对狼进行有效管理需要同时考虑工业区块特征以及麋鹿和骡鹿的种群数量。