Spatial multi-scale relationships of ecosystem services: A case study using a geostatistical methodology.
Spatial multi-scale relationships of ecosystem services: A case study using a geostatistical methodology.
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生态系统服务的空间多尺度关系：使用地统计学方法的案例研究。
DOI：
10.1038/s41598-017-09863-1
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发表时间：
2017-08-25
影响因子：
4.6
通讯作者：
Wang C
中科院分区：
文献类型：
--
作者：
Liu Y;Bi J;Lv J;Ma Z;Wang C
充分认识生态系统服务的空间多尺度关系是环境管理决策的重要环节。在这里，我们使用空间显式方法估计了与中国东部太湖流域非点源污染有关的五个临界ES(氮磷净化、作物生产、供水和土壤保持)。通过因子克立格分析和逐步多元回归分析，确定各尺度上生态系统及其主导因子的空间多尺度关系。在12 Km和83 Km尺度上表征了ES的空间变异，结果表明这些服务之间的关系是尺度依赖的。推测在12 Km尺度上，ES受人为活动控制，它们之间的关系取决于社会经济因素。在83 公里尺度上，我们认为ES主要受物理环境的支配。此外，还讨论了生态系统关系及其主导因素对非点源污染多层次治理的政策含义。总体而言，这项研究提出了一种在多个空间尺度上确定ES关系的优化方法，并说明了适当的信息如何有助于指导水资源管理。
Adequately understanding the spatial multi-scale relationships of ecosystem services (ES) is an important step for environmental management decision-making. Here, we used spatially explicit methods to estimate five critical ES (nitrogen and phosphorous purifications, crop production, water supply and soil retention) related to non-point source (NPS) pollution in the Taihu Basin region of eastern China. Then a factorial kriging analysis and stepwise multiple regression were performed to identify the spatial multi-scale relationships of ES and their dominant factors at each scale. The spatial variations in ES were characterized at the 12 km and 83 km scales and the result indicated that the relationships of these services were scale dependent. It was inferred that at the 12 km scale, ES were controlled by anthropogenic activities and their relationships were dependent on socio-economic factors. At the 83 km scale, we suggested that ES were primarily dominated by the physical environment. Moreover, the policy implications of ES relationships and their dominant factors were discussed for the multi-level governance of NPS pollution. Overall, this study presents an optimized approach to identifying ES relationships at multiple spatial scales and illustrates how appropriate information can help guide water management.
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