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西藏玛旁雍错国际重要湿地生态系统服务价值评估

Ecosystem service value assessment of the Mapangyong Cuo International Important Wetland in Xizang

  • 摘要: 高海拔偏远地区的生态系统价值评估会受到地域差异性、空间异质性、区域经济发展水平等因素的影响。为了科学评估西藏玛旁雍错国际重要湿地的生态系统服务价值,本文借助当量因子法、InVEST模型法、成果参照法对湿地的生态系统服务价值进行系统评估,并对不同方法所得结果进行了对比分析。研究结果表明,西藏玛旁雍错国际重要湿地生态系统服务总价值为238.47亿元~298.99亿元,平均值为268.73亿元;土壤保持价值的均值为2.39亿元,固碳价值的均值为1.75亿元。利用当量因子法得到湿地中各类生态系统的总价值为238.47亿元,其中湿地生态系统的价值占96.51%;利用InVEST模型法得出产水量为3.50×104 m3 (14.66万元)、碳储量为1.22×106 t (0.32亿元)、土壤保持量为2.84×106 t (2.23亿元),利用该模型计算出的土壤保持量与利用当量因子法得到的结果基本一致,但碳储量的计算结果低于当量因子法;利用成果参照法得到生态系统总服务价值为298.99亿元,高于以上两种方法所得结果。不同方法的评估结果存在一定差异,建议结合高寒湿地的区域特征(如高海拔、生态脆弱性),采用多种方法进行综合评估,并调整、修正模型参数和指标参数进行本土化,避免单一方法导致的评估结果偏差,从而更加科学合理地反映湿地生态系统的服务价值,为西藏高原湿地生态补偿标准的制定和政策落地提供科学数据支撑。

     

    Abstract: The assessment of Ecosystem Service Value (ESV) in high-altitude and remote regions presents substantial complexity, as it is comprehensively affected by multiple interrelated factors including geographical disparities, spatial heterogeneity of ecological environments, and differentiated levels of regional socio-economic development. To achieve a scientific and accurate evaluation of the ESV for the Mapangyong Cuo International Important Wetland in Xizang, this study systematically applied three mainstream evaluation approaches, namely the equivalent factor method, the integrated valuation of ecosystem services and tradeoffs (InVEST) model, and the benefit transfer method, and conducted a rigorous comparative analysis on the evaluation outcomes generated by these distinct methodologies. The research results demonstrated that the total ESV of the Mapangyong Cuo Wetland ranged from 23.847 billion yuan to 29.899 billion yuan, with a calculated average value of 26.873 billion yuan. In terms of specific ecosystem services, the average value of soil conservation service was quantified at 239 million yuan, and the average value of carbon sequestration service stood at 175 million yuan. When adopting the equivalent factor method for evaluation, the total ESV of all ecosystem types within the wetland was estimated to be 23.847 billion yuan, among which the wetland ecosystem itself contributed an overwhelmingly dominant proportion of 96.51% to the total value. Meanwhile, the InVEST model enabled detailed biophysical quantification and corresponding monetary valuation of key ecosystem services: the water yield was calculated as 3.50×104 cubic meters with a monetary value of 146 600 yuan, the carbon storage amounts to 1.22×106 tons valued at 32 million yuan, and the soil retention reaches 2.84×106 tons with a value of 223 million yuan. A critical comparative analysis of the results revealed that the soil retention value estimated by the InVEST model was generally consistent with that derived from the equivalent factor method, whereas the carbon storage estimation obtained from the InVEST model was notably lower. In contrast, the benefit transfer method yielded the highest total ESV of 29.899 billion yuan among the three applied methods. Given the observed discrepancies in evaluation results across different approaches, it is strongly recommended that ESV assessments for alpine wetland ecosystems fully integrate distinctive regional characteristics such as extreme high-altitude conditions and ecological vulnerability. A comprehensive framework combining multiple evaluation methods should be adopted, and targeted adjustments, calibrations, and localizations of model parameters and index systems are essential to reduce evaluation biases caused by relying on a single method. This scientific and rational evaluation strategy is critical for precisely reflecting the authentic service value of wetland ecosystems, and it can provide solid and reliable data support for the formulation of ecological compensation standards and the effective implementation of environmental protection policies for plateau wetlands in Xizang.

     

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