基于多模型耦合的滇东南岩溶湖泊流域生境质量评估及模拟
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国家重点研发计划项目(2022YFF1302900);国家自然科学基金项目(31870707);西藏自治区重大科技专项项目(XZ202201ZD0005G04);浙江省生态环境监测中心项目(EEBD-2024-04)


Habitat quality assessment and simulation of karst lake watershed in Southeastern Yunnan by multi-model coupling
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    摘要:

    云贵高原作为中国西南岩溶区的核心组成部分,碳酸盐岩出露广泛分布,其既是中国西南生态安全屏障区,也是生态环境脆弱区、少数民族聚居区。高原湖泊流域是云贵高原开发利用最密集的地区,是受人为干扰最强烈的生态交错带,其生境质量的动态演变过程直接影响着江河的水源涵养、水资源调配及水生态安全,更对地方经济社会发展、农业生产建设产生深远影响。本研究以滇东南普者黑流域为研究对象,在In VEST模型评估生境质量(Habitat Quality, HQ)基础上,纳入遥感生态指数模型(Remote Sensing based Ecological Index, RSEI)评价区域生态质量,以优化生境质量评估的数据支持,全面展示滇东南岩溶湖泊流域生境质量的动态演变特征、未来趋势发展。结果表明:(1) RSEI流域均值整体变化分为下降、波动、上升3个阶段,1990-2020年间整体下降0.136,年均减少率0.59%,生态条件变差等级下降以生态等级-1级、-2级为主(48.90%、24.80%)。(2)生境质量流域均值整体变化表现为先减后增再减的变化趋势,1985-2020年间整体稳定于0.36-0.39之间,以生态等级2级为主(0.20 < HQ≤0.40),面积位于200.000-220.000 km2之间,占比60.00%-65.00%。(3)纳入RSEI数据支持,生境质量流域均值与RSEI整体变化呈相同趋势,1990-2020年间整体下降0.132,年均减少率0.73%,主要表现为从1990年的生态等级3-4级(32.78%、62.86%)下降到2020年的生态等级2-3级(16.61%、81.65%)。通过优化调整、对比分析、预测模拟滇东南岩溶湖泊流域生境质量,其区域生态整体呈现下降趋势,其中主要不同在于整体演变趋势、极值分布、均值变化以及生态等级。不同评估模型耦合使评价结论更具科学性、说服力,可为岩溶湖泊生态系统的保护与预警提供科学依据,据此提出相应的发展建议是滇东南普者黑流域生态保护必不可少的环节。

    Abstract:

    As a core component of the karst region in Southwest China, the Yunnan-Guizhou Plateau is characterized by extensive outcrops and widespread distribution of carbonate rocks. It functions not only as a critical ecological security barrier in Southwest China but also as a region with fragile ecosystems and concentrated ethnic minority communities. Plateau lake watersheds, as the most intensively exploited regions across the Yunnan-Guizhou Plateau, serves as ecological transition zones highly vulnerable to anthropogenic disturbances. The dynamic evolution of habitat quality in these basins directly impacts rivers' water conservation capacity, water resource allocation, and aquatic ecological security, while exerting far-reaching effects on local socio-economic development trajectories as well as agricultural production and construction. By integrating the In VEST model for habitat quality (HQ) assessment of karst lake watersheds with the Remote Sensing based Ecological Index (RSEI) model, this study aimed to enhance data reliability in habitat quality assessments of the Puzhehei watershed in Southeastern Yunnan. This approach enabled a comprehensive analysis of dynamic evolution patterns and future trends of habitat quality within the karst lake watershed. Key findings were as follows: (1) The RSEI value exhibited three temporal phases: initial decline, subsequent fluctuations, and a final upward trend. The basin-wide mean declined by 0.136 from 1990 to 2020, corresponding to an average annual decrease rate of 0.59%, primarily observed at ecological grade -1 and -2 (48.90%, 24.80%). (2) Temporal analysis of habitat quality revealed a trend of initial decline, followed by recovery, and subsequent decline. The basin-wide mean remained relatively stable from 1985 to 2020, fluctuating between 0.36 and 0.39, and consistently maintained ecological grade 2 (0.20 < HQ≤0.40), spanning 200.000-220.000 km2 (60.00%-65.00%). (3) Incorporation of RSEI data demonstrated congruence between habitat quality and RSEI trends. Habitat quality declined by 0.132 from 1990 to 2020 (average annual decrease: 0.73%), manifested as a shift from ecological grade 3-4 (32.78%, 62.86%) in 1990 to grade 2-3 (16.61%, 81.65%) in 2020. Through systematic optimization, comparative analysis, and predictive modeling, the regional ecology of Puzhehei watershed in Southeastern Yunnan was shown to be in decline. Key differences were reflected in overall trends, extreme value distribution, mean value changes, and ecological grades. Model integration enhanced the scientific rigor of conclusions, providing a robust foundation for ecosystem protection in karst lake watersheds. Targeted conservation strategies were therefore essential for sustainable management of the Puzhehei watershed in Southeastern Yunnan.

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张诗文,刘入菊,田震,李子豪,周金星.基于多模型耦合的滇东南岩溶湖泊流域生境质量评估及模拟.生态学报,2026,46(4):1853~1871

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