中国山水林田湖草沙生命共同体健康诊断类型识别及修复路径优化

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 32 期数: 2025年04期页码: 418-429 栏目: 出版日期: 2025-07-10

Title:: Identification of health diagnosis types and restoration pathway optimization for the mountains-rivers-forests-fields-lakes-grasslands-sands life community in China

文章编号:: 1005-3409（2025）04-0418-12

作者:: 聂家龙¹，官冬杰^1,2,3，谢亭亭¹，周李磊^1,2,3，和秀娟⁴; 1.重庆交通大学智慧城市学院，重庆 400074;2.山地城市时空信息重庆市重点实验室，重庆 400074;3.自然资源部智能城市时空信息与装备工程技术创新中心，重庆 400074;4.香港大学地理系，香港 999077

Author(s):: Nie Jialong¹，Guan Dongjie^1,2,3，Xie Tingting¹，Zhou Lilei^1,2,3，He Xiujuan⁴; 1.School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China;2.Chongqing Key Laboratory of Spatio-temporal Information in Mountain Cities, Chongqing 400074, China;3.Technology Innovation Center for Spatio-temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 400074, China;4.Department of Geography, The University of Hong Kong, Hong Kong SAR 999077, China

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Keywords:

分类号:: X37

DOI:: 10.13869/j.cnki.rswc.2025.04.009

文献标志码:: A

摘要:: [目的]识别山水林田湖草沙生命共同体健康诊断类型，探究各子系统之间的耦合协调性，进而为生命共同体修复提供科学的数据支撑。[方法]以中国31个省（区、市）为研究对象，构建山水林田湖草沙生命共同体健康诊断指标体系，利用正态云模型计算各行政区及各子系统健康等级，探究了各子系统之间耦合协调性并划分修复单元实行分区优化。[结果]（1）山水林田湖草沙生命共同体健康状态整体呈上升趋势，2020年处于健康和自然状态的行政区数量约占19%和58%，各子系统健康状态总体上表现为林子系统>草子系统>湖子系统>水子系统>田子系统>沙子系统>山子系统；（2）耦合度上，120种子系统组合中有9种一直处于磨合阶段，其他组合逐步达到高水平耦合阶段；协调度上，仅两个子系统组合里有15种处于失调阶段，其余子系统组合处于轻度失调或初级协调阶段，各子系统之间发展速度存在较大差距；（3）将修复单元划分为4类：水-沙-林子系统修复区、山-湖子系统修复区、田-草子系统修复区和沙-湖-林子系统修复区，并提出相应的修复路径。[结论]宏观视角下各地区的健康类型在逐步提升，但仍有病态行政区出现，未来需要注重不同子系统之间的发展差异性，制定相应的发展规划。

Abstract:: [Objective] This study aims to identify the health diagnosis types of mountains-rivers-forests-fields-lakes-grasslands-sands life community, explore the coupling and coordination among its subsystems, and provide scientific data support for community restoration. [Methods] Using 31 provinces(regions, cities) in China as the study areas, a health diagnosis indicator system for the mountains-rivers-forests-fields-lakes-grasslands-sands life community was developed. The normal cloud model was employed to calculate the health status of administrative regions and subsystems. The coupling and coordination among subsystems were analyzed, and ecological restor-ation zones were classified for regional optimization. [Results](1) The overall health status of the life community showed an upward trend. In 2020, about 19% and 58% of administrative regions were classified as healthy and natural, respectively. The overall health rankings of the subsystems were as follows： forests>grasslands>lakes>rivers>fields>sands>mountains.(2) Among 120 subsystem combinations, 9 remained in the adjustment phase, while the others gradually reached high coupling levels. In terms of coordination, 15 combinations of two subsystems exhibited imbalance, while the others displayed mild imbalance or primary coordination. Significant disparities were observed in the development speeds of different subsystems.(3) Ecological restoration zones were classified into four types： rivers-sands-forests subsystem restoration areas, mountains-lakes subsystem restoration areas, fields-grasslands subsystem restoration areas, and sands-lakes-forests subsystem restoration areas, with corresponding restoration pathways proposed. [Conclusion] From a macro perspective, the health status of various regions shows gradual improvement. However, some administrative regions are still in morbid health status. Future efforts should focus on addressing disparities among subsystems and creating targeted development plans.

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更新日期/Last Update: 2025-07-20