Defining and quantifying effective connectivity of landscapes for species' movements

Demonstration of the workflow and supplementary information on the randomized shortest paths framework for \"Defining and quantifying effective connectivity of landscapes for species’ movements\" by Van Moorter B, Kivimäki I, Panzacchi M, Saerens M. (2021) in Ecography 44(6):1–15. 

Ecosystem functioning depends on multiple successful interactions, many supported by individual movements. The degree to which the landscape allows these interactions to take place has been referred to as ‘effective connectivity' (EC). Many of the cumulative impacts of anthropogenic activities on ecosystem functioning arise from changes in EC. Therefore, a coherent framework to quantify EC is urgently needed. Recent theoretical developments propose that studying EC requires the simultaneous consideration of spatial, environmental and species intrinsic characteristics (SEI framework).

In the paper we further expand the SEI framework by integrating advances in geographic information science, ecological nich...

本内容为《界定与量化物种移动景观的有效连通性》（Defining and quantifying effective connectivity of landscapes for species’ movements）一文的研究流程演示，以及该文所用随机最短路径框架（randomized shortest paths framework）的补充信息。该文由Van Moorter B、Kivimäki I、Panzacchi M、Saerens M撰写，发表于2021年《Ecography》第44卷第6期，页码范围为1至15。
生态系统功能依赖于诸多成功的交互作用，其中多数依托于个体移动得以实现。景观允许此类交互发生的程度，被定义为有效连通性（effective connectivity，EC）。人类活动对生态系统功能产生的诸多累积影响，均源于有效连通性的改变。因此，亟需一套统一的量化有效连通性的研究框架。
近期的理论研究进展表明，开展有效连通性研究需同时考量空间、环境与物种内在特征框架（SEI framework）。
本文通过整合地理信息科学、生态位相关研究进展，对上述SEI框架进行了进一步拓展。