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应用生态学报 ›› 2026, Vol. 37 ›› Issue (9): 2871-2885.doi: 10.13287/j.1001-9332.202609.045

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湿地生境功能及稳定性评价

武海涛1*, 阳涛2, 何春光3, 盛连喜3   

  1. 1中国科学院沈阳应用生态研究所, 沈阳 110801;
    2中国科学院东北地理与农业生态研究所, 长春 130102;
    3东北师范大学环境学院/生态环境部湿地生态与植被恢复重点实验室, 长春 130117
  • 收稿日期:2026-07-17 接受日期:2026-07-30 出版日期:2026-09-18 发布日期:2026-10-12
  • 通讯作者: *E-mail: wuhaitao@iae.ac.cn
  • 作者简介:武海涛, 男, 1978年生, 研究员。主要从事湿地生态学,生物地理学以及土壤生态学领域研究。E-mail: wuhaitao@iae.ac.cn
  • 基金资助:
    国家重点研发计划项目(2022YFF1300900)和国家自然科学基金重点项目(42430511)

Assessment methods for wetland habitat functions and stability.

WU Haitao1*, YANG Tao2, HE Chunguang3, SHENG Lianxi3   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110801, China;
    2Key Laboratory of Wetland Ecology, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
    3School of Environment, Northeast Normal University/Key Laboratory of Wetland Ecology and Vegetation Restoration, Ministry of Ecology and Environment, Changchun 130117, China
  • Received:2026-07-17 Accepted:2026-07-30 Online:2026-09-18 Published:2026-10-12

摘要: 湿地生态系统具有丰富的生物多样性,发挥着独特的生境功能,对维持区域生物多样性与生态功能具有重要作用。开展生境功能稳定性评价,是识别湿地生态系统的质量与健康状况,进行湿地保护修复与合理利用的基础。然而,现有生境功能评价研究多聚焦于单指标刻画,缺乏多维度的系统性评价指标体系和综合性评估方法。基于此,本文提出一套面向湿地生境功能稳定性评价的系统性方法框架。首先,从环境因子、生物组成、景观格局以及胁迫干扰与保护管理4个准则层出发,构建包含11个子准则层及43项候选指标的评价指标体系,并依据数据时间属性将指标划分为时间序列型与结构状态型。进而,在构建逐年生境功能指数(HFI)的时间序列基础上,分别从波动性、抵抗力与恢复力3个维度建立稳定性量化方法:以变异系数表征长期波动程度,以扰动前后HFI相对变化度量抵抗力,以恢复速率、恢复幅度或恢复时间刻画恢复力,并通过分维度表达与综合指数(HFSI)两种方式实现稳定性综合评价。本框架将生态系统稳定性理论系统引入湿地生境评价领域,旨在为湿地退化识别、保护修复干预及适应性管理提供量化依据。

关键词: 湿地, 生境功能, 生境功能稳定性, 评价指标, 评价方法

Abstract: Wetlands support rich biodiversity and provide unique habitat functions, playing a critical role in maintaining regional biodiversity and ecological processes. Evaluating the stability of habitat function is fundamental for identifying the quality and health status of wetlands and for guiding wetland conservation, restoration, and sustainable management. However, available habitat function assessments have mainly focused on individual indicators, lacking systematic multidimensional indicator frameworks and integrated evaluation approaches. To address this knowledge gap, we proposed a systematic methodological framework for assessing the stability of wetland habitat function. First, an evaluation indicator system comprising 11 sub-criteria layers and 43 candidate indicators was developed from four criterion layers, including environmental factors, biological composition, landscape patterns, and stress disturbances and conservation management. According to the temporal characteristics, those indicators were further classified into time-series ones and structural-state ones. Based on the constructed annual habitat function index (HFI) time series, stability was quantified from three dimensions: variability, resistance, and recovery. Specifically, the coefficient of variation was used to characterize long-term fluctuations. The relative change in HFI before and after disturbance was used to quantify resistance. Recovery rate, recovery magnitude, and recovery time were employed to describe recovery capacity. Furthermore, two approaches, including dimension-specific representation and a comprehensive habitat function stability index (HFSI), were established for integrated stability assessment. This framework systematically incorporated ecosystem stability theory into wetland habitat function evaluation, providing a quantitative basis for identifying wetland degradation, implementing conservation and restoration interventions, and supporting adaptive management.

Key words: wetland, habitat function, habitat function stability, assessment indicator, assessment method