Center for Resilience in Agricultural Working Landscapes, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America.
PLoS One. 2023 Aug 9;18(8):e0289706. doi: 10.1371/journal.pone.0289706. eCollection 2023.
Species of different sizes interact with the landscape differently because ecological structure varies with scale, as do species movement capabilities and habitat requirements. As such, landscape connectivity is dependent upon the scale at which an animal interacts with its environment. Analyses of landscape connectivity must incorporate ecologically relevant scales to address scale-specific differences. Many evaluations of landscape connectivity utilize incrementally increasing buffer distances or other arbitrary spatial delineations as scales of analysis. Instead, we used a mammalian body mass discontinuity analysis to objectively identify scales in the Central Platte River Valley (CPRV) of Nebraska, U.S.A. We implemented a graph-theoretic network analysis to evaluate the connectivity of two wetland land cover types in the CPRV, wet meadow and emergent marsh, at multiple scales represented by groupings of species with similar body mass. Body mass is allometric with multiple traits of species, including dispersal distances. The landscape was highly connected at larger scales but relatively unconnected at smaller scales. We identified a threshold at which the landscape becomes highly connected between 500 m and 6,500 m dispersal distances. The presence of a connectivity threshold suggests that species with dispersal distances close to the threshold may be most vulnerable to habitat loss or reconfiguration and management should account for the connectivity threshold. Furthermore, we propose that a multiscale approach to management will be necessary to ensure landscape connectivity for diverse species.
不同大小的物种与景观的相互作用方式不同,因为生态结构随尺度而变化,物种的移动能力和栖息地需求也是如此。因此,景观连通性取决于动物与其环境相互作用的尺度。景观连通性的分析必须纳入生态相关的尺度,以解决特定尺度的差异。许多景观连通性的评估利用递增的缓冲区距离或其他任意的空间划分作为分析的尺度。相反,我们使用哺乳动物体质量不连续分析来客观地确定美国内布拉斯加州中央普拉特河谷(CPRV)的尺度。我们实施了图论网络分析,以评估 CPRV 中两种湿地覆盖类型(湿草地和挺水沼泽)在多个尺度上的连通性,这些尺度由具有相似体质量的物种分组表示。体质量与物种的多个特征呈比例关系,包括扩散距离。在较大的尺度上,景观的连接度较高,但在较小的尺度上相对不连接。我们在 500 米到 6500 米的扩散距离之间确定了一个景观高度连通的阈值。连通性阈值的存在表明,扩散距离接近阈值的物种可能最容易受到栖息地丧失或重新配置的影响,管理应该考虑到连通性阈值。此外,我们提出,为了确保多种物种的景观连通性,需要采用多尺度的管理方法。