Wang Xiaozhen, Wu Jianzhao, Liu Yulin, Hai Xuying, Shanguan Zhouping, Deng Lei
State Key Laboratory for Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Institute of Soil and Water Conservation, Chinese Academy of Science and Ministry of Water Resources, Yangling, Shaanxi 712100, China.
J Environ Manage. 2022 Mar 17;311:114835. doi: 10.1016/j.jenvman.2022.114835.
A clear understanding of the driving factors for different ecosystem services (ESs) is quite essential for sustainable ecosystem management. It is important to strengthen research in ESs and social sustainable development to identify the main driving factors of different ESs. This study assessed carbon sequestration (CS), water yield (WY) and soil conservation (SC) from 2000 to 2018 in the Loess Plateau using CASA (The Carnegie-AmesStanford Approach), InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) and RUSLE (Revised Universal Soil Loss Equation) models. The spatial heterogeneity, trade-offs and synergies and driving factors were explored in the whole Loess Plateau. The results showed that the WY, CS and SC had increased from 2000 to 2018. The spatial relationships between WY and SC, SC and CS, and WY and CS were mainly synergistic. Annual mean precipitation (MAP) was the dominant driving factor of WY, while normalized difference vegetation index (NDVI) and slope (SL) had the strongest explanatory power for CS and SC. The LU was the most critical factor affecting the ESs in the different climatic zones. These results could act as a reference for decision-makers on how to control various influencing factors of ESs to improve the local ecology under local conditions.
清楚了解不同生态系统服务（ES）的驱动因素对于可持续的生态系统管理至关重要。加强对生态系统服务和社会可持续发展的研究，以确定不同生态系统服务的主要驱动因素，这一点很重要。本研究利用CASA（卡内基-艾姆斯-斯坦福方法）、InVEST（生态系统服务综合价值评估与权衡）和RUSLE（修订通用土壤流失方程）模型，评估了2000年至2018年黄土高原的碳固存（CS）、产水量（WY）和土壤保持（SC）情况。在整个黄土高原地区探讨了其空间异质性、权衡与协同关系以及驱动因素。结果表明，2000年至2018年期间，产水量、碳固存和土壤保持均有所增加。产水量与土壤保持、土壤保持与碳固存、产水量与碳固存之间的空间关系主要为协同关系。年平均降水量（MAP）是产水量的主要驱动因素，而归一化植被指数（NDVI）和坡度（SL）对碳固存和土壤保持具有最强的解释力。土地利用是影响不同气候区生态系统服务的最关键因素。这些结果可为决策者如何控制生态系统服务的各种影响因素以在当地条件下改善当地生态提供参考。
