Spatiotemporal Variation and Driving Factors of Ecological Environment Quality in Yangtze River Basin

Liu Huadong; He Zhenming; Guo Chen

doi:10.13961/j.cnki.stbctb.2023.02.032

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Spatiotemporal Variation and Driving Factors of Ecological Environment Quality in Yangtze River Basin

- Spatiotemporal Variation and Driving Factors of Ecological Environment Quality in Yangtze River Basin
- Bulletin of Soiland Water Conservation Vol. 43, Issue 2, Pages: 277-284(2023)
- 作者机构：
  
  长江大学地球科学学院,湖北,武汉,430100
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.02.032
  CLC： X87;TP79;X826
- Published：2023
- 稿件说明：
移动端阅览
Liu Huadong, He Zhenming, Guo Chen. Spatiotemporal Variation and Driving Factors of Ecological Environment Quality in Yangtze River Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 277-284.
DOI：

Liu Huadong, He Zhenming, Guo Chen. Spatiotemporal Variation and Driving Factors of Ecological Environment Quality in Yangtze River Basin[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 277-284. DOI： 10.13961/j.cnki.stbctb.2023.02.032.

摘要

[目的] 探究2001—2021年长江不同子流域生态环境质量动态变化及其主导驱动因素，以期为长江流域生态环境保护与经济发展战略的协调发展提供理论依据。 [方法] 基于MODIS数据提取了2001—2021年5—11月长江流域遥感生态指数(remote sensing ecological index， RSEI)，并基于RSEI分析了长江流域近21 a来生态环境质量动态及其驱动因素。 [结果] ①长江流域中下游生态质量高于上游，南部高于北部。除2006年外，生态质量在中等级以上的面积占80%以上，整体生态水平较好。 ②生态环境质量变化整体以稳定变化为主，呈上升趋势的区域有乌江、太湖水系、宜宾至宜昌、宜宾至湖口、金沙江流域。 ③RSEI变化的主要驱动因素为湿度指标，其次为温度指数。 ④生态环境质量受到风速的正影响较大。气温升高会导致长江流域生态环境质量变差，但在金沙江流域、鄱阳湖流域、嘉陵江流域和湖口及以下干流地区气温升高有利于生态环境质量改善。⑤降水增多有利于大部分地区生态环境质量改善。[结论] 2001—2021年流域生态环境质量整体以不变趋势为主，但嘉陵江流域生态呈现退化现象需要引起政府重视，尽快提出一系列生态修复措施，防止其生态环境进一步恶化。

Abstract

[Objective] The dynamic changes of ecological environmental quality in different sub-basins of the Yangtze River from 2001 to 2021

and the impact of different driving factors on it were determined in order to provide a theoretical basis for the coordinated development of an ecological environmental protection strategy and an economic development strategy for the Yangtze River basin. [Methods] Based on MODIS data

the remote sensing ecological index (RSEI) of the Yangtze River basin from May to November (2001 to 2021) was extracted. The dynamics and driving factors of ecological environmental quality in the Yangtze River basin during the past 21 years were analyzed based on RSEI values. [Results] ① The ecological quality of the middle and lower reaches of the Yangtze River basin was higher than the ecological quality of the upper reaches. The ecological quality in the south was higher than in the north. Except for 2006

more than 80% of the study area had ecological quality above the middle level

and the overall ecological level was classified as good. ② The overall change in ecological environmental quality was classified as stable

and the regions with an upward trend in quality included the Wujiang River

the Taihu Lake water system

Yibin to Yichang section

Yibin to Hukou section

and the Jinsha River basin. ③ The main driving factor of RSEI change was the humidity index

followed by temperature indicators. ④ Ecological environmental quality was greatly affected by wind speed. Rising temperatures will lead to deterioration of the ecological environmental quality in the Yangtze River basin

but the temperatures in the Jinsha River basin

Poyang Lake basin

Jialing River basin

and Hukou and the lower main stream areas were conducive to improvement of ecological environmental quality. ⑤ Increasing precipitation was conducive to improvement of ecological environmental quality in most areas. [Conclusion] The overall ecological environmental quality of the Yangtze River basin has not changed during the past 21 years

but the ecological degradation of the Jialing River basin needs to be given attention by the government

and a series of ecological restoration measures should be put forward as soon as possible to prevent further deterioration of the ecological environment.

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references

Sowinska-Swierkosz B. Application of surrogate measures of ecological quality assessment: The introduction of the Indicator of Ecological Landscape Quality(IELQ) [J]. Ecological Indicators, 2017,73,224-234.

金佳鑫,肖园园,金君良,等.长江流域极端水文气象事件时空变化特征及其对植被的影响[J].水科学进展,2021,6(32):867-876.

Wang Xiao, Zhao Xiaoli, Zhang Zengxiang, et al. Assessment of soil erosion change and its relationships with land use/cover change in China from the end of the 1980s to 2010 [J]. Catena, 2016,137,256-268.

杭鑫,罗晓春.基于RSEI模型的生态质量评估及城镇化影响:以南京市为例[J].应用生态学报,2020,31(1):219-229.

黄涛,徐力刚,范宏翔,等.长江流域干旱时空变化特征及演变趋势[J].环境科学研究,2018,31(10):1677-1684.

叶许春,杨晓霞,刘福红,等.长江流域陆地植被总初级生产力时空变化特征及其气候驱动因子[J].生态学报,2021,41(17):6949-6959.

Li Haisheng, Wang Lijing, Zhang Zeqian, et al. Theoretical thought and practice of eco-environment synergistic management in the Yangtze River [J]. Journal of Environmental Engineering Technology, 2021,11:409-417.

Wu Jiannan, Liu Qianqian, Chen Zitao, et al. How does the regional collaborative governance mechanism of air pollution in China operate well? Evidence from the Yangtze River Delta [J]. Chinese Public Administration, 2020,5:32-39.

Zhang Junfeng, Zhang Anlu, Song Min. Ecological benefit spillover and ecological financial transfer of cultivated land protection in river basins: A case study of the Yangtze River economic belt, China [J]. Sustainability, 2020, 12(17): 7085.

Wang Chunli, Jiang Qunou, Shao Yaqi, et al. Ecological environment assessment based on land use simulation: A case study in the Heihe River Basin [J]. Science of the Total Environment, 2019,697:133928.

Xiong Yuan, Xu Weiheng, Lu Ning, et al. Assessment of spatial-temporal changes of ecological environment quality based on RSEI and GEE: A case study in Erhai Lake basin, Yunnan Province, China [J]. Ecological Indicators, 2021,125:107518.

徐勇,郑志威,郭振东,等.2000—2020年长江流域植被NDVI动态变化及影响因素探测[J].环境科学，2022,43(7)：3730-3740.

侯吉宇,周艳莲,刘洋.不同叶面积指数遥感数据模拟中国总初级生产力的时空差异[J].遥感技术与应用,2020,35(5):1015-1027.

徐勇,周清华,窦世卿,等.基于ZGS和TW模型的长江流域植被NPP时空演变特征[J].水土保持通报,2022,42(1):225-232.

赵美亮,曹广超,曹生奎,等.1980—2017年青海省地表温度时空变化特征[J].干旱区研究,2021,38(1):178-187.

黄涛,徐力刚,范宏翔,等.长江流域干旱时空变化特征及演变趋势[J].环境科学研究,2018,31(10):1677-1684.

Hazbavi Z, Sadeghi S H, Gholamalifard M, et al. Watershed health assessment using the pressure-state-response (PSR) framework [J]. Land Degradation Development, 2020,31:3-19.

徐涵秋.城市遥感生态指数的创建及其应用[J].生态学报,2013,33(24):7853-7862.

王志超,何新华.基于植被覆盖度和遥感生态指数的成都市锦江区生态质量评估[J].生态与农村环境学报,2021,37(4):492-500.

Huang Huiping, Chen Wei, Zhang Yuan, et al. Analysis of ecological quality in Lhasa metropolitan area during 1990—2017 based on remote sensing and Google Earth Engine platform [J]. Journal of Geographical Sciences, 2021,31(2)：265-280.

Zhou Jianbo, Liu Wanqing. Monitoring and evaluation of eco-environment quality based on remote sensing-based ecological index(RSEI)in Taihu Lake Basin, China [J]. Sustainability, 2022,14：5642.

章程焱,杨少康,董晓华,等.基于RSEI指数的长江上游流域生态环境质量时空演变及影响因子研究[J].2022,30(1):1-8.

Yang Xinyue, Meng Fei, Fu Pingjie, et al. Spatiotemporal change and driving factors of the eco-environment quality in the Yangtze River Basin from 2001 to 2019[J]. Ecological Indicators, 2021,131:108214.

金凯,王飞,韩剑桥,等.1982—2015年中国气候变化和人类活动对植被NDVI变化的影响[J].地理学报,2020,75(5):961-974.

Zhang Guanhua, Ding Wenfeng, Wang Yifeng, et al. Analysis on water and sediment variation and the driving factors in Yangtze River Basin since 2000 [J]. Journal of Soil and Water Conservation, 2020,34：98-104.

Xie Ying, Zhang Jinchi. Forest protecting from a viewpoint of soil and water loss actuality of Huanghe River and Changjiang River Valley [J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2002,45(6):88-92.

Chen Chi, Park Taejin, Wang Xuhui, et al. China and India lead in greening of the world through land-use management [J]. Nature Sustainability, 2019,2(2):122-129.

Liao Weihua, Jiang Weiguo. Evaluation of the spatiotemporal variations in the eco-environmental quality in China based on the remote sensing ecological index [J]. Remote Sensing, 2020,12(15):2462.

叶许春,杨晓霞,刘福红,等.长江流域陆地植被总初级生产力时空变化特征及其气候驱动因子[J].生态学报,2021,41(17):6949-6959.

Cao J, Adamowski J F, Deo R C, et al. Grassland Degradation on the Qinghai-Tibetan Plateau: Reevaluation of Causative Factors [J]. Rangeland Ecology & Management, 2019,72(6):988-995.

孙倩,张敏,曾永兵,等.艾比湖流域降水和风速对植被NDVI时空变化的影响[J].西南农业学报,2018,31(11):2407-2412.

Yin Lichang, Feng Xiaoming, Fu Bojie, et al. A coupled human-natural system analysis of water yield in the Yellow River basin, China [J]. Science of the Total Environment, 2021,762:143141.

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