Univ. Lyon, University Lumière Lyon 2, UMR 5600 CNRS-Environnement Ville Société, Lyon F-69007, France.
Univ. Lyon, University Jean Moulin Lyon 3, UMR 5600 CNRS-Environnement Ville Société, Lyon F-69007, France.
Sci Total Environ. 2019 Feb 15;651(Pt 2):2566-2584. doi: 10.1016/j.scitotenv.2018.10.158. Epub 2018 Oct 14.
In agricultural lands, assessing how the spatial patterns of landscapes affect sediment connectivity is a key factor in understanding the nonlinear behavior of sediment transfer to the outlet. Important questions remain regarding this relationship. For example, to what extent is sediment travel disconnected from the flows that transport sediments? What connections exist between the components of the sediment cascade? The answers to this methodological problem are particularly important to land managers and farmers. In this paper, we further explore graph theory as a tool for assessing structural sediment connectivity at the catchment scale. Our approach combines two graph theory indices, the accessibility index and the flow index, to create the residual flow (RF) index, which is used to assess structural sediment connectivity. We apply the method to the case study of Mercurey (Burgundy, France), where agricultural activities (i.e., wine growing) have resulted in environmental issues, such as soil loss and flooding. In this area, vine-growers have developed specific structures (such as concrete pits, drainage ditches or curved paths) to collect and trap sediments that have been eroded from vine plots, which can then be used to backfill parcels upslope. These man-made structures modify the spatial pattern of the sediment cascade. The indices mentioned above can be used to highlight and quantify these changes. In particular, the influence of linear features (such as roads and hedges) and artificial sinks can be determined. Additionally, we find that unexpected behaviors of the sediment cascade system can result from dysfunctions in the management structures. The RF index shows promising results as a tool for rapidly assessing structural connectivity at the catchment scale, although further methodological advances will help ensure reproducibility.
在农业土地中,评估景观的空间格局如何影响泥沙连通性是理解泥沙向出口非线性传输的关键因素。关于这种关系仍存在许多重要问题。例如,泥沙输送在多大程度上与输送泥沙的水流分离?泥沙级联的各个组成部分之间存在什么联系?这个方法问题的答案对土地管理者和农民来说尤为重要。在本文中,我们进一步探讨了将图论作为评估流域尺度结构泥沙连通性的工具。我们的方法结合了两个图论指标,即可达性指数和流指数,创建了残余流(RF)指数,用于评估结构泥沙连通性。我们将该方法应用于 Mercurey(法国勃艮第)的案例研究,该地区的农业活动(例如葡萄酒种植)导致了环境问题,如土壤流失和洪水。在该地区,葡萄种植者开发了特定的结构(如混凝土坑、排水渠或弯曲路径)来收集和截留从葡萄园中侵蚀的泥沙,然后可以将这些泥沙用来回填坡地上的土地。这些人为结构改变了泥沙级联的空间格局。上述指数可用于突出和量化这些变化。特别是,可以确定线性特征(如道路和树篱)和人工汇的影响。此外,我们发现,管理结构的功能障碍可能导致泥沙级联系统出现意外行为。RF 指数作为一种快速评估流域尺度结构连通性的工具具有广阔的应用前景,尽管进一步的方法学进步将有助于确保其可重复性。