Passoni Gioele, Coulson Tim, Ranc Nathan, Corradini Andrea, Hewison A J Mark, Ciuti Simone, Gehr Benedikt, Heurich Marco, Brieger Falko, Sandfort Robin, Mysterud Atle, Balkenhol Niko, Cagnacci Francesca
Department of Zoology, University of Oxford, Zoology Research and Administration Building, 11a Mansfield Rd, Oxford, OX1 3SZ, UK.
Department of Biodiversity and Molecular Ecology, Research and Innovation Centre (CRI), Fondazione Edmund Mach, Via Edmund Mach 1, 38010, San Michele all'Adige, TN, Italy.
Mov Ecol. 2021 Nov 13;9(1):57. doi: 10.1186/s40462-021-00292-4.
Human disturbance alters animal movement globally and infrastructure, such as roads, can act as physical barriers that impact behaviour across multiple spatial scales. In ungulates, roads can particularly hamper key ecological processes such as dispersal and migration, which ensure functional connectivity among populations, and may be particularly important for population performance in highly human-dominated landscapes. The impact of roads on some aspects of ungulate behaviour has already been studied. However, potential differences in response to roads during migration, dispersal and home range movements have never been evaluated. Addressing these issues is particularly important to assess the resistance of European landscapes to the range of wildlife movement processes, and to evaluate how animals adjust to anthropogenic constraints.
We analysed 95 GPS trajectories from 6 populations of European roe deer (Capreolus capreolus) across the Alps and central Europe. We investigated how roe deer movements were affected by landscape characteristics, including roads, and we evaluated potential differences in road avoidance among resident, migratory and dispersing animals (hereafter, movement modes). First, using Net Squared Displacement and a spatio-temporal clustering algorithm, we classified individuals as residents, migrants or dispersers. We then identified the start and end dates of the migration and dispersal trajectories, and retained only the GPS locations that fell between those dates (i.e., during transience). Finally, we used the resulting trajectories to perform an integrated step selection analysis.
We found that roe deer moved through more forested areas during the day and visited less forested areas at night. They also minimised elevation gains and losses along their movement trajectories. Road crossings were strongly avoided at all times of day, but when they occurred, they were more likely to occur during longer steps and in more forested areas. Road avoidance did not vary among movement modes and, during dispersal and migration, it remained high and consistent with that expressed during home range movements.
Roads can represent a major constraint to movement across modes and populations, potentially limiting functional connectivity at multiple ecological scales. In particular, they can affect migrating individuals that track seasonal resources, and dispersing animals searching for novel ranges.
人类干扰在全球范围内改变动物的活动,道路等基础设施可作为物理屏障,在多个空间尺度上影响动物行为。在有蹄类动物中,道路尤其会阻碍扩散和迁徙等关键生态过程,而这些过程确保了种群之间的功能连通性,对于高度人类主导景观中的种群表现可能尤为重要。道路对有蹄类动物行为某些方面的影响已有研究。然而,从未评估过在迁徙、扩散和家域移动过程中对道路反应的潜在差异。解决这些问题对于评估欧洲景观对野生动物移动过程范围的抗性,以及评估动物如何适应人为限制尤为重要。
我们分析了来自阿尔卑斯山和中欧6个欧洲狍(Capreolus capreolus)种群的95条GPS轨迹。我们研究了狍的移动如何受到包括道路在内的景观特征的影响,并评估了常住、迁徙和扩散动物(以下简称移动模式)在道路回避方面的潜在差异。首先,使用净平方位移和时空聚类算法,我们将个体分类为常住个体、迁徙个体或扩散个体。然后,我们确定了迁徙和扩散轨迹的开始和结束日期,并仅保留那些在这些日期之间(即过渡期间)的GPS位置。最后,我们使用所得轨迹进行综合步长选择分析。
我们发现,狍白天在森林较多的区域移动,晚上访问森林较少的区域。它们还尽量减少移动轨迹上的海拔升降。一天中任何时候都强烈避免穿越道路,但当穿越发生时,更有可能发生在较长步长期间和森林较多的区域。道路回避在移动模式之间没有差异,并且在扩散和迁徙期间,回避程度仍然很高,与家域移动期间表现出的回避程度一致。
道路可能是跨模式和种群移动的主要限制因素,可能在多个生态尺度上限制功能连通性。特别是,它们会影响追踪季节性资源的迁徙个体以及寻找新领地的扩散动物。