Temporal and spatial changes of eco-environmental quality and its influencing factors in the Dongting Lake basin from 2001 to 2019

doi:10.13474/j.cnki.11-2246.2023.0032

Abstract

Abstract: In recent years, the ecological environment of the Dongting Lake basin has been under great pressure due to natural disasters, unreasonable exploitation and utilization. Accurate and real-time acquisition of temporal and spatial pattern and evolution trend of eco-environmental quality is of great significance for eco-environmental protection and construction in the Dongting Lake basin. In view of the ecological situation of the Dongting Lake basin with rich vegetation and biodiversity, based on CHEQ using standardized coefficient multiple linear regression method and random forest algorithm, this study explores the temporal and spatial evolution characteristics of eco-environmental quality in the Dongting Lake basin and the influence of social and natural factors on the ecology of the Dongting Lake basin. The results show that: ① The eco-environmental quality of the Dongting Lake basin decreased rapidly from 2001 to 2009, and increased slowly from 2010 to 2019. The average trend rate of CHEQ was -0.17×10^-3 a^-1, indicating that the eco-environmental quality of Dongting Lake basin showed a decreasing trend during the past 19 years. In the past 19 years, 20.31% of the areas where the eco-environmental quality has been improved significantly in the Dongting Lake basin, while degraded seriously areas accounted for 24.33%. ② During the study period, Pingjiang county, Taoyuan county and Taojiang county ranked the top three in ecological environmental quality, and the ecological quality was basically in good grade. Furong district, which ranked at the bottom of ecological quality, degraded from a poor grade to a terrible grade. ③ From the perspective of time, the main driving factors of eco-environmental quality change in the Dongting Lake basin were water shortage and IBI index in the past 19 years. The driving factors for the spatial distribution of eco-environmental quality in the Dongting Lake basin were temperature, soil moisture, surface runoff and IBI index. Henceforth, the management strategy of the Dongting Lake basin should focus on ecological restoration, promote the coupling and coordinated development of economy and ecology, and develop industrial groups that adapt to the ecological environment of the basin as the main goal, so as to realize the sustainable utilization of ecological resources in the basin. This study can provide a scientific basis for exploring the coordinated method of sustainable utilization and practical protection of natural resources in the Dongting Lake basin.

Key words: the Dongting Lake basin, CHEQ, eco-environmental quality, social factors, natural factors

CLC Number:

P237

ZHANG Rui, LIU Xiuguo, XU Dong, LI Qin, SUI Bing, CHEN Leishi. Temporal and spatial changes of eco-environmental quality and its influencing factors in the Dongting Lake basin from 2001 to 2019[J]. Bulletin of Surveying and Mapping, 2023, 0(2): 1-8.

References

[1] YANG Zhimin, HAN Longfei, LIU Qingping, et al. Spatial and temporal changes in wetland in Dongting Lake basin of China under long time series from 1990 to 2020[J]. Sustainability, 2022, 14(6): 3620.
[2] 孙占东, 黄群, 姜加虎. 洞庭湖主要生态环境问题变化分析[J]. 长江流域资源与环境, 2011, 20(9): 1108-1113.
[3] 卢宏玮, 曾光明, 谢更新, 等. 洞庭湖流域区域生态风险评价[J]. 生态学报, 2003, 23(12): 2520-2530.
[4] 毛德华, 吴峰, 李景保, 等. 洞庭湖湿地生态系统服务价值评估与生态恢复对策[J]. 湿地科学, 2007, 5(1): 39-44.
[5] 中华人民共和国环境保护部. 生态环境状况评价技术规范: HJ 192-2015[S]. 北京: 中国环境科学出版社,2015.
[6] 徐涵秋. 区域生态环境变化的遥感评价指数[J]. 中国环境科学, 2013, 33(5): 889-897.
[7] WEN Xiaole, MING Yanli, GAO Yonggang, et al. Dynamic monitoring and analysis of ecological quality of Pingtan comprehensive experimental zone, a new type of sea island city, based on RSEI[J]. Sustainability, 2019, 12(1): 21.
[8] GOU Ruikun, ZHAO Jun. Eco-environmental quality monitoring in Beijing, China, using an RSEI-based approach combined with random forest algorithms[J]. IEEE Access, 2020, 8: 196657-196666.
[9] XU Dong, YANG Feng, YU Le, et al. Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data[J]. Journal of Cleaner Production, 2021, 321: 128948.
[10] 湖南省人民政府办公厅. 湖南省人民政府办公厅关于印发《洞庭湖生态环境专项整治三年行动计划(2018-2020年)》的通知[J]. 湖南政报, 2018(2): 64-69.
[11] 扶小红. 洞庭湖区土地利用/覆盖变化及对洪涝灾害易损性影响分析[D]. 长沙: 湖南师范大学, 2014.
[12] 王继人, 钟昌标, 王玲玲, 等. 2000-2017年湖南省土地耕作适宜性、气候生产潜力与LUCC过程动态特征[J]. 山地学报, 2019, 37(2): 252-262.
[13] 孔令桥, 郑华, 欧阳志云. 基于生态系统服务视角的山水林田湖草生态保护与修复: 以洞庭湖流域为例[J]. 生态学报, 2019, 39(23): 8903-8910.
[14] 郭晶, 连花, 李利强, 等. 洞庭湖水质污染状况及主要污染物来源分析[J]. 水生态学杂志, 2019, 40(4): 1-7.
[15] 袁丽华, 蒋卫国, 申文明, 等. 2000-2010年黄河流域植被覆盖的时空变化[J]. 生态学报, 2013, 33(24): 7798-7806.
[16] BALDOCCHI D, DRALLE D, JIANG Chongya, et al. How much water is evaporated across California? A multiyear assessment using a biophysical model forced with satellite remote sensing data[J]. Water Resources Research, 2019, 55(4): 2722-2741.
[17] BREIMAN L. Random forests[J]. Machine Learning, 2001, 45(1): 5-32.
[18] 刘志红, 郭伟玲, 杨勤科, 等. 近20年黄土高原不同地貌类型区植被覆盖变化及原因分析[J]. 中国水土保持科学, 2011, 9(1): 16-23.
[19] 平江县: 全国生态建设示范区[J]. 林业与生态, 2016(3): 2.
[20] 李毅, 易敏, 胡文敏, 等. 基于RS与GIS的长沙市生态环境状况评价[J]. 林业经济, 2017, 39(9): 100-103.
[21] 杨岳斌, 谌国华. 打造生态和谐宜居之城: 岳阳市人大常委会专题询问城中湖萎缩问题纪实[N]. 人民代表报, 2010-10-28(2).
[22] 王光美. 城市化影响下北京植物多样性现状与保护对策研究[D]. 北京: 中国科学院研究生院(植物研究所), 2006.
[23] 吕立刚, 周生路, 周兵兵, 等. 1985年以来江苏省土地利用变化对人类活动程度的响应[J]. 长江流域资源与环境, 2015, 24(7): 1086-1093.
[24] 张光贵. 退田还湖对洞庭湖生态环境的影响[J]. 生态学杂志, 2003, 22(3): 94-96.
[25] 方传棣. 长江经济带矿产资源开发-经济-环境耦合协调发展研究[D]. 武汉: 中国地质大学, 2019.
[26] 黄清瀚. 1982-2012年间中国不同植被生态区对气温变化的影响及其成因的探讨[D]. 南京: 南京信息工程大学, 2017.
[27] 李景保, 朱翔, 蔡炳华. 洞庭湖退田还湖区避灾生态农业模式研究[J]. 自然灾害学报, 2001, 10(4): 108-112.