李一, 解璐萌, 莫雪, 等. 江西省湿地生态系统生产总值(GEP)核算及时空动态分析[J]. 生态与农村环境学报, 2024, 40(6): 738-748. DOI: 10.19741/j.issn.1673-4831.2023.0996
    引用本文: 李一, 解璐萌, 莫雪, 等. 江西省湿地生态系统生产总值(GEP)核算及时空动态分析[J]. 生态与农村环境学报, 2024, 40(6): 738-748. DOI: 10.19741/j.issn.1673-4831.2023.0996
    LI Yi, XIE Lu-meng, MO Xue, et al. Accounting and Spatio-temporal Dynamic Analysis of the Gross Ecosystem Product (GEP) of Wetlands in Jiangxi Province[J]. Journal of Ecology and Rural Environment, 2024, 40(6): 738-748. DOI: 10.19741/j.issn.1673-4831.2023.0996
    Citation: LI Yi, XIE Lu-meng, MO Xue, et al. Accounting and Spatio-temporal Dynamic Analysis of the Gross Ecosystem Product (GEP) of Wetlands in Jiangxi Province[J]. Journal of Ecology and Rural Environment, 2024, 40(6): 738-748. DOI: 10.19741/j.issn.1673-4831.2023.0996

    江西省湿地生态系统生产总值(GEP)核算及时空动态分析

    Accounting and Spatio-temporal Dynamic Analysis of the Gross Ecosystem Product (GEP) of Wetlands in Jiangxi Province

    • 摘要: 生态系统服务是人类社会赖以生存和发展的基础,对生态系统生产总值(GEP)开展精确评估,在协调生态保护与经济增长方面发挥着至关重要的作用。江西省湿地类型丰富,为了更好地掌握湿地生态系统服务价值及其变化规律,增强湿地保护意识,笔者基于江西省2005—2020年4期遥感影像,结合统计数据和地理信息技术,构建了湿地GEP核算指标体系,使用InVEST模型对江西省湿地GEP进行核算并分析其时空动态规律。结果表明:(1)2005—2020年江西省湿地GEP呈现稳定增长态势,至2020年达74 336.27亿元,主要得益于气候调节、固碳释氧和洪水调蓄等核心生态系统服务功能的显著贡献。(2)从结构组成分析来看,调节服务始终占据最大比重,尽管文化服务的初始贡献较小,其增长速度却最为显著。具体到服务价值的变化趋势,供给服务价值经历了一个先升后降的过程,调节服务价值则是先降后升,而文化服务价值持续增长;在众多湿地类型中,水田对于湿地调节服务的贡献最为显著;同时,土地利用/覆被及气候变化对湿地生态系统服务的影响最大。(3)2005—2020年江西省湿地单位面积GEP逐年增长,绿金指数(GEP/GDP比)呈逐年下降趋势,表明江西省湿地生态优势正逐渐转变为经济优势。未来应因地制宜提升GEP,以促进生态与经济的耦合发展。

       

      Abstract: Ecosystem services are the foundation for the survival and development of human society. Therefore, conducting precise evaluations of the Gross Ecosystem Product (GEP) plays a critical role in balancing ecological protection with economic growth. Jiangxi Province has a rich variety of wetland types. To better understand the value of wetland ecosystem services and their changing patterns, and to enhance awareness of wetland protection, this paper, based on four periods of remote sensing images of Jiangxi Province from 2005 to 2020, combined with statistical data and geographic information technology, constructed a wetland GEP accounting indicator system. Using the InVEST model, the GEP of Jiangxi Province's wetland ecosystems was calculated, and its spatio-temporal dynamics were analyzed. The results show that: (1) From 2005 to 2020, the GEP of Jiangxi Province's wetlands showed a stable growth trend, reaching 7 433.627 billion yuan by 2020, mainly due to the significant contributions of core ecosystem services such as climate regulation, carbon sequestration and oxygen release, and flood regulation and storage; (2) From the perspective of structural composition, regulation services always occupied the largest proportion. Although the initial contribution of cultural services was relatively small, their growth rate was the most significant. Specifically, the trend in service value shows that the value of provisioning services experienced a rise followed by a decline, the value of regulation services first declined then rose, and the value of cultural services continued to grow. Among the many types of wetlands, paddy fields contributed most significantly to wetland regulation services. Meanwhile, land use/cover and climate change had the greatest impact on wetland ecosystem services. (3) From 2005 to 2020, the GEP per unit area of Jiangxi Province's wetlands gradually increased, and the Green Gold Index (GEP/GDP) showed a decreasing trend year by year, indicating that the ecological advantages of Jiangxi Province's wetlands are gradually transforming into economic advantages. In the future, GEP should be enhanced according to local conditions to promote the coupled development of ecology and economy.

       

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