Evidence map›Paper›PMID 41044204›Full record

ArticleScientific reports2025

The dynamic changes of eco-environmental quality in Dongting lake wetland during 1990-2020, China.

Hongyong Xiang, Xiang Li, Jie Chen, Yuping Dai, Ting Yi, Ruikai Zhang, Jiayi Li, Jiebin Zhang, Qiuxi Yang

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Hongyong XiangSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Xiang LiSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Jie ChenSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China. chenjie166@csust.edu.cn.
Yuping DaiSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Ting YiSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Ruikai ZhangSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Jiayi LiSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Jiebin ZhangSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Qiuxi YangSchool of Hydraulic and Ocean Engineering, Changsha University of Science and Technology, Changsha, 410114, China.

Funding

Changjiang River Scientific Research Institute (CRSRI) Open Research Program CKWV20231199/KYInnovation and Entrepreneurship Training program for College Students of Hunan Province S202310536110Key Scientific and Technological Projects of Hunan Provincial Department of Water Resources XSKJ2022068-40Key Scientific and Technological Projects of Water Resources Department SKS-2022079National Natural Science Foundation of China 32101310National Natural Science Foundation of China 52271257Natural Science Foundation of Hunan Province 2022JJ10047Natural Science Foundation of Hunan Province 2024JJ6019Scientific Research Fund of Hunan Provincial Education Department Excellent Young Program, No: 23B0311
6 · The paper itself

Abstract

Dongting Lake is a globally significant wintering ground and one of the 200 most significant ecological areas. However, the eco-environmental quality (EEQ) of Dongting Lake Wetland (DLW) has been largely decreased due to intensive anthropogenic and natural stressors during the past decades. Here, we calculated the remote sensing ecological index (RSEI) and analyzed the spatial autocorrelation of DLW from 1990 to 2020 using Landsat TM/OLI remote sensing data. We also used the Geo-detector model (GDM) to quantitatively reveal the driving factors and their interactions with EEQ. Our results showed that: (1) the RSEI values ranged between 0.45 and 0.55 indicating a medium level of EEQ. The EEQ showed a first decreasing and then fluctuating increasing trend during 1990-2020, and the spatial distribution of EEQ was general higher in the eastern while lower in the western DLW. (2) The spatial distribution of EEQ was positively correlated and exhibited a cluster pattern. The High-High cluster areas were predominantly grassland (RSEI = 0.572), while the Low-Low cluster areas were characterized by phragmites (RSEI = 0.388) and mudflats (RSEI = 0.474). (3) The interactions between internal and external factors showed synergistic effects on EEQ, with vegetation coverage (q = 0.417) and landscape pattern (q = 0.347) were the main external driving factors of EEQ. Our results imply that the priority of improving the EEQ of DLW should focus on the protection and restoration of plants especially for grassland.

Indexed as

Dongting lake wetland (DLW)Eco-environmental quality (EEQ)Geo-detector model (GDM)Landscape patternRemote sensing ecological index (RSEI)Spatial-temporal changes

Identifiers

PMID41044204
PMCPMC12494795

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