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基于生态完整性的河流湿地生态系统健康评价以云南高黎贡山南段河流湿地为例

Evaluation of riverine wetlands ecosystem health based on ecological integrity: a case study of riverine wetlands in the southern section of Gaoligong Mountain, Yunnan Province, China

  • 摘要: 河流湿地是区域社会经济发展的重要支撑,科学评价其生态系统健康状况可为水资源的合理利用及可持续发展提供重要的科学依据。基于生态完整性的理念,通过对现有河流生态系统健康评价指标的系统分类、重组以及赋权,构建了新的河流湿地生态系统健康状况综合评价体系,该体系包括水生生物指标、物理指标和化学指标3类。利用层次分析法(AHP),根据相对重要性构建判断矩阵,得到满足一致性检验的权重,即赋予水生生物指标更高的权重,物理指标次之,化学指标最低。以云南高黎贡山南段河流湿地为例,于2018年11月对其河流形态和河岸带情况、水体理化性质及大型底栖无脊椎动物进行调查,并应用本文构建的评价体系进行生态系统健康评价。结果表明,该区域河流湿地可分为独龙江流域和怒江流域两大流域,流域层次的河流湿地生态系统健康状况均为健康;而具体到所研究的6条河流,有5条为健康状态,1条为良好状态。与前期研究结果相比,本研究利用重新整合和赋权的评估体系得出的结果更为合理。

     

    Abstract: Riverine wetlands underpin regional socio-economic development by sustaining critical ecosystem functions and services, including water provision and regulation, ecosystem maintenance, and biodiversity conservation. Accordingly, a rigorous assessment of riverine wetland ecosystem health is essential for guiding rational water-resource utilization and supporting sustainable regional development. Anchored in the concept of ecological integrity, this study developed an integrated framework for evaluating riverine wetland health through the systematic classification, reorganization, and synthesis of widely used river-health indicators into a coherent, multi-dimensional index system. The framework comprises three complementary indicator domains, aquatic biological, physical (habitat), and chemical (water-quality) indicators, designed to capture biological community condition, habitat structure and stability, and the physicochemical environment, respectively. To ensure that the relative diagnostic value of these domains was explicitly represented in the assessment, the Analytic Hierarchy Process (AHP) was used to derive criterion-level weights. The weighting scheme assigned the highest importance to aquatic biological indicators, followed by physical indicators, with chemical indicators weighted lowest, reflecting the premise that biotic assemblages and habitat attributes often integrate cumulative environmental effects and could be more responsive to disturbance than routine chemistry at reach-to-river scales. Because the differential importance of individual metrics within each domain is difficult to determine objectively, equal weights were assigned to metrics within the same domain. The finalized framework includes 18 metrics, encompassing attributes of benthic macroinvertebrate communities, channel morphology and riparian condition, and key water-quality variables (e.g., nutrients and dissolved oxygen). Metric scores were standardized and aggregated to generate an integrated health index, which classified riverine wetland condition into five grades ranging from ‘very poor’ to ‘healthy’. The framework was applied to riverine wetlands in the southern section of the Gaoligong Mountains, Yunnan Province, China. Field investigations were conducted in November 2018, integrating assessments of channel form and riparian habitat, measurements of water physicochemical properties, and standardized collection and identification of benthic macroinvertebrates. Application of the integrated index indicated that the study area could be partitioned into two major basins, the Dulong River Basin and the Nu River Basin, both of which were evaluated as healthy at the basin scale. At the river scale, five of the six investigated rivers were classified as healthy, whereas one river was rated good. Relative to previous assessments conducted in the same region, the restructured and reweighted framework yielded results judged to be more reasonable, with improved interpretability and greater sensitivity. By prioritizing biological integrity while retaining essential habitat and water-quality information for diagnosis and management, this framework provides a scientifically robust tool for riverine wetland health evaluation, conservation and restoration planning, and evidence-based water-resource management.

     

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