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Research progress on determination methods and identification evaluation of groundwater ecosystems
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Zhi-hao YE1, 2, Long-hao HUANG1, 2, Xin ZHOU1, *, Ming-xia ZHENG1, Lian-sheng HE1, **, Rui MENG1, Xiao-yu ZHANG1, Qiang ZHOU1
China Environmental Science | 2025, 45(8) : 4491 - 4500
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China Environmental Science | 2025, 45(8): 4491-4500
• Environmental Ecology •
Research progress on determination methods and identification evaluation of groundwater ecosystems
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Zhi-hao YE1, 2, Long-hao HUANG1, 2, Xin ZHOU1, *, Ming-xia ZHENG1, Lian-sheng HE1, **, Rui MENG1, Xiao-yu ZHANG1, Qiang ZHOU1
Affiliations
  • 1.Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • 2.The College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400000, China
Published: 2025-08-20
Outline
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Groundwater Dependent Ecosystems (GDEs) have played a vital role in maintaining ecological balance and providing ecological services, but they are facing increasingly severe threats under environmental changes. The identification and assessment of GDEs have been the basis for their monitoring, management, and protection. In this paper, the development, classification, delineation, and research methods for the identification and assessment of GDEs were reviewed. The framework of GDE identification and assessment models was summarized. The application of geospatial technologies, with GIS as a typical tool, and remote-sensing data provided by Landsat, Sentinel, MODIS, etc., in the identification of GDEs was explored. The current research limitations and future directions were put forward. The research on the identification and assessment of GDEs has evolved from using single determination methods, such as water level monitoring and isotopic analysis, to a comprehensive approach that integrates multiple data sources, including hydrogeological data, ecological indicators, and meteorological data. The representation of results has also shifted from traditional classification algorithms to the use of machine-learning-coupled algorithms, such as random forest models. However, how to accurately identify the spatial distribution of GDEs, precisely monitor their dynamic changes, and improve adaptive management strategies remain urgent issues to be resolved. In the future, theoretical innovation in the methodological system for GDE identification and assessment should be promoted. Innovation in methods should be achieved by integrating multi-source data, and technological innovation should be realized by exploring the application of deep-learning algorithms and the integration of artificial intelligence, so as to enhance the management level and efficiency of protection and restoration of GDEs.

groundwater-dependent ecosystems (GDEs)  /  geospatial technologies (GIS)  /  identification and mapping  /  environmental management  /  Interdisciplinary research
叶志豪, 黄龙浩, 周欣, 郑明霞, 何连生, 孟睿, 张晓宇, 周强. 依赖地下水生态系统判定方法与识别评价研究进展. 中国环境科学, 2025 , 45 (8) : 4491 -4500 .
Zhi-hao YE, Long-hao HUANG, Xin ZHOU, Ming-xia ZHENG, Lian-sheng HE, Rui MENG, Xiao-yu ZHANG, Qiang ZHOU. Research progress on determination methods and identification evaluation of groundwater ecosystems[J]. China Environmental Science, 2025 , 45 (8) : 4491 -4500 .
Year 2025 volume 45 Issue 8
94
13
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Article Info
  • Receive Date:2025-01-13
  • Online Date:2026-10-08
  • Published:2025-08-20
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  • Received:2025-01-13
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Affiliations
    1.Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    2.The College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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