Wilkinson Christine E, Quinn Niamh, Eng Curtis, Schell Christopher J
Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA.
California Academy of Sciences, San Francisco, California, USA.
Ecol Lett. 2025 Feb;28(2):e70088. doi: 10.1111/ele.70088.
How societal, ecological and infrastructural attributes interact to influence wildlife movement is uncertain. We explored whether neighbourhood socioeconomic status and environmental quality were associated with coyote (Canis latrans) movement patterns in Los Angeles, California and assessed the performance of integrated social-ecological movement models. We found that coyotes living in more anthropogenically burdened regions (i.e. higher pollution, denser development, etc.) had larger home ranges and showed greater daily displacement and mean step length than coyotes in less burdened regions. Coyotes experiencing differing levels of anthropogenic burdens demonstrated divergent selection for vegetation, pollution, road densities and other habitat conditions. Further, movement models that included societal covariates performed better than models that only assessed ecological features and linear infrastructure. This study provides a unique social-ecological lens examining the anthropogenic drivers of urban wildlife movement, which should be applicable to urban planners and conservationists when building more equitable, healthy and wildlife-friendly cities.
社会、生态和基础设施属性如何相互作用以影响野生动物的活动尚不确定。我们探讨了社区社会经济地位和环境质量是否与加利福尼亚州洛杉矶市郊狼(犬属)的活动模式相关,并评估了综合社会生态运动模型的性能。我们发现,生活在受人类活动影响更严重地区(即污染更严重、开发更密集等)的郊狼比生活在受影响较小地区的郊狼有更大的家域,并且表现出更大的日移动距离和平均步长。经历不同程度人为负担的郊狼对植被、污染、道路密度和其他栖息地条件表现出不同的选择。此外,包含社会协变量的运动模型比仅评估生态特征和线性基础设施的模型表现更好。这项研究提供了一个独特的社会生态视角来审视城市野生动物活动的人为驱动因素,这对于城市规划者和保护主义者在建设更公平、健康和对野生动物友好的城市时应该是适用的。