Pu Junwei, Zhao Xiaoqing, Huang Pei, Gu Zexian, Shi Xiaoqian, Chen Yanjun, Shi Xinyu, Tao Junyi, Xu Yifei, Xiang Aimeng
School of Earth Sciences, Yunnan University, Kunming 650500, China; Institute of International Rivers and Eco-security, Yunnan University, Kunming 650500, China.
School of Earth Sciences, Yunnan University, Kunming 650500, China.
J Environ Manage. 2022 Dec 1;323:116206. doi: 10.1016/j.jenvman.2022.116206. Epub 2022 Sep 14.
Due to anthropogenic disturbances, the karst region in southern China is vulnerable to ecological problems such as soil erosion and surface exposure. However, limited studies on variations in large-scale ecological risk (ER) and their influencing factors, particularly the coupling/decoupling relationship with an exposed surface fraction (ESF), make ER regulations and ecological restoration challenging. The present study evaluates the ER of eight typical karst provinces in Southern China from 1990 to 2020 using the technique for order preference by similarity to an ideal solution (TOPSIS) model and ecosystem services (habitat quality, water yield, carbon storage, soil conservation, and food production), and extracts the contemporaneous ESF using Landsat satellite data in Google Earth Engine (GEE). The spatiotemporal change of ER and ESF are analyzed, and their coupling/decoupling relationship and driving mechanism are explored using coupling coordination degree (CCD) and multi-scale geographically weighted regression (MGWR) models. The results show that: (1) Over the past 30 years, the ER has increased until 2010 and subsequently declined, with an increasing mean value (0.463-0.503), except in Chongqing municipality. The ESF decreased significantly (the mean value dropped from 44.7% to 38.7%), except that in Sichuan province. (2) The average CCD between ER and ESF decreased with fluctuation of -0.017, with a decoupling relationship (58.18%). The coupling area is larger than the decoupling area in the Sichuan area, while other provinces are opposite. (3) The coupling/decoupling relationship in the study area is mainly driven by terrain (elevation, slope) and socio-economic (population density, per capita GDP) factors. More attention should be paid to the role of these factors in the continuous reduction and control of ESF and ER. This study can serve as a reference for similar studies in karst regions, such as risk assessment and surface monitoring, rocky desertification control, ecological engineering layout, and territorial planning.
由于人为干扰,中国南方喀斯特地区易出现水土流失和地表裸露等生态问题。然而,关于大规模生态风险(ER)变化及其影响因素,特别是与地表裸露率(ESF)的耦合/解耦关系的研究有限,这使得生态风险调控和生态恢复面临挑战。本研究运用逼近理想解排序法(TOPSIS)模型和生态系统服务(栖息地质量、产水量、碳储量、土壤保持和粮食生产)评估了1990年至2020年中国南方八个典型喀斯特省份的生态风险,并利用谷歌地球引擎(GEE)中的Landsat卫星数据提取了同期的地表裸露率。分析了生态风险和地表裸露率的时空变化,并运用耦合协调度(CCD)和多尺度地理加权回归(MGWR)模型探讨了它们的耦合/解耦关系及驱动机制。结果表明:(1)在过去30年中,除重庆市外,生态风险在2010年之前呈上升趋势,随后下降,平均值呈上升趋势(0.463 - 0.503)。除四川省外,地表裸露率显著下降(平均值从44.7%降至38.7%)。(2)生态风险与地表裸露率之间的平均耦合协调度随波动下降了0.017,呈现解耦关系(58.18%)。在四川地区,耦合面积大于解耦面积,而其他省份则相反。(3)研究区域内的耦合/解耦关系主要受地形(海拔、坡度)和社会经济(人口密度、人均GDP)因素驱动。应更加关注这些因素在持续降低和控制地表裸露率及生态风险方面的作用。本研究可为喀斯特地区的类似研究提供参考,如风险评估与地表监测、石漠化治理、生态工程布局和国土规划等。