湿地
环境科学
恢复生态学
生态系统
功能生态学
自然平衡
生物多样性
环境资源管理
资源(消歧)
生态系统服务
生态学
自然(考古学)
水资源管理
地理
生物
计算机科学
计算机网络
考古
作者
Yajing Cai,Jinsong Liang,Panyue Zhang,Qingyan Wang,Yan Wu,Yiran Ding,Hongjie Wang,Chuan Fu,Jiajun Sun
出处
期刊:Chemosphere
[Elsevier BV]
日期:2021-07-13
卷期号:285: 131534-131534
被引量:68
标识
DOI:10.1016/j.chemosphere.2021.131534
摘要
Wetlands play an important role in sustaining ecosystems on the earth, which regulate water resources, adjust local climate and produce food for human beings, etc. However, wetlands are facing huge challenges due to human activities and other natural evolution, such as area shrinkage, function weakening and biodiversity decrease, and so on, therefore, some wetlands need to be urgently restored. In this study, the main technology components of close-to-natural restoration of wetlands were summarized. The ecological water requirement and water resource allocation can be optimized for the water balance between social, economy and ecology, which is a key prerequisite for maintaining wetland ecosystem. The pollution of wetland sediments and soils can be assessed by various indicators to provide the scientific basis for natural restoration of wetland base, and suitable strategies should be taken according to the actual conditions of wetland bases. The hydrological connectivity in wetlands and with related water system can be numerically simulated to make the optimal plan for improvement of hydrological connectivity. The ecological restoration of wetlands with the synergetic function of plants, animals and microorganisms was summarized, to improve the quality of wetland water environment and maintain the ecosystem stability. Based on the wetland close-to-natural restoration strategies, a brief ecological restoration plan for a typical wetland, Zaozhadian Wetland, near Xiong'an New Area in the north China was proposed from water resource guarantee, base pollution management, hydrological connectivity improvement and biological restoration. The close-to-natural restoration shows more effective, sustainable and long-lasting and thus a practical prospect.
科研通智能强力驱动
Strongly Powered by AbleSci AI