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应用生态学报 ›› 2026, Vol. 37 ›› Issue (7): 2424-2440.doi: 10.13287/j.1001-9332.202607.008

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退化草地生态修复的系统性框架: 理论整合、技术耦合与效益评估

黄惠群1, 陈晓娅2, 刘西苑1, 朱晓花1, 曾和平3*   

  1. 1邵阳市草地资源保护中心, 湖南邵阳 422000;
    2邵阳工业职业技术学院, 湖南邵阳 422000;
    3昆明理工大学城市学院, 昆明 650500
  • 收稿日期:2026-03-04 接受日期:2026-05-28 出版日期:2026-07-18 发布日期:2027-01-18
  • 通讯作者: *E-mail: dabatou@126.com
  • 作者简介:黄惠群, 男, 1989年生, 硕士研究生。主要从事生态保护与修复、生态系统功能与生物多样性、草种质资源收集与培育、植物-土壤-微生物互作、林草技术推广等研究。E-mail: 978344016@qq.com
  • 基金资助:
    国家自然科学基金项目(41461061)、国家自然科学基金联合基金重点支持项目(U21A20189)、湖南省自然科学基金区域联合项目(2022JJ50032)、邵阳市自然科学研究指导性项目(2025PT6148)和南山国家公园草地生态系统定位监测研究项目(XLK202108-10)资助。

A systematic framework for ecological restoration of degraded grasslands: Theoretical integration, technological combination, and efficiency assessment

HUANG Huiqun1, CHEN Xiaoya2, LIU Xiyuan1, ZHU Xiaohua1, ZENG Heping3*   

  1. 1Shaoyang Grassland Resources Protection Center of Hunan Province, Shaoyang 422000, Hunan, China;
    2Shaoyang Industrial Vocational and Technical College, Shaoyang 422000, Hunan, China;
    3City College, Kunming University of Science and Technology, Kunming 650500, China
  • Received:2026-03-04 Accepted:2026-05-28 Online:2026-07-18 Published:2027-01-18

摘要: 草地退化已成为制约区域生态功能发挥与畜牧业可持续发展的关键问题。针对我国当前退化草地生态修复中存在的措施碎片化、技术与退化类型不匹配及重建设轻管护等问题,本文以系统性恢复理论为指导,融合基于自然的解决方案(NbS)理念与近自然恢复原则,构建了面向工程实践的退化草地系统性修复框架。该框架以退化诊断和主导限制因子识别为核心,集成关键技术配置、工程装备匹配、多维效益评价及反馈优化机制,形成“诊断-配置-评价-调控”的闭环决策路径。通过引入“生态状态判定-路径分流”机制,实现了修复过程由线性实施向动态优化转变,避免了传统模式中修复过程的无限循环。退化草地生态修复成效取决于限制因子识别与技术组合的精准匹配,而非单一技术或工程强度。多维效益评价应贯穿于修复全过程,并作为驱动适应性管理的关键环节。该框架实现了对修复理论、技术路径、效益评估与管理调控的系统整合,可为我国不同退化情景下草地生态修复的精准决策与长效调控提供支撑。

关键词: 退化草地, 系统性修复, 主导限制因子, 关键技术配置, 工程装备匹配, 多维效益评价, 适应性管理

Abstract: Grassland degradation has become a critical constraint on regional ecological functions and the sustainable development of pastoral systems in China. To address key challenges in restoration practices, including fragmented measures, mismatches between technologies and degradation types, and the overemphasis on construction over long-term management, we developed a systematic grassland restoration framework based on systematic restoration theory, integrating the concepts of Nature-based Solutions (NbS) and near-natural restoration. The framework centered on degradation diagnosis and the identification of dominant limiting factor, and integrated key technology configuration, engineering equipment matching, multidimensional benefit evaluation, and feedback optimization into a closed-loop decision-making pathway of “diagnosis-configuration-evaluation-regulation”. By introducing an “ecological state assessment-pathway differentiation” mechanism, the restoration process was transformed from a linear implementation model into a dynamic optimization process, thereby overcoming the infinite-loop limitations of conventional restoration approaches. Restoration effectiveness depended on the precise matching between limiting factors and technology combinations rather than on single techniques or intervention intensity. Multidimensional bene-fit evaluation should be embedded during restoration as a key driver of adaptive management. The proposed framework achieved the systematic integration of restoration theory, technical pathways, efficiency assessment, and mana-gement regulation, providing support for precise decision-making and long-term regulation of grassland restoration under different degradation scenarios in China.

Key words: grassland degradation, systematic restoration, dominant limiting factor, key technology configuration, engineering equipment matching, multidimensional benefit evaluation, adaptive management