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    海南岛红树林湿地碳储量时空演变与预测

    Spatio-temporal Evolution and Prediction of Mangrove Carbon Storage in Hainan Island

    • 摘要: 红树林是海岸带湿地生态系统的重要组成部分,在海岸带蓝碳固存中发挥着关键作用。探究海南岛红树林碳储量的时空演变规律及其驱动机制,对推进红树林湿地保护与可持续发展具有重要意义。本研究结合 PLUS - InVEST 模型,系统解析2000-2020年海南岛红树林湿地景观格局演变特征及碳储量时空分异规律,并模拟预测2030年生态保护、经济优先和自然发展三种情景下的碳储量动态,并借助地理探测器模型对湿地区域内碳储量差异的驱动因素进行了识别。结果表明:(1)研究期内红树林面积呈显著增长趋势,净增加1329.84 ha。红树林碳储量占比持续上升,而其他林地碳储量呈现下降趋势;(2)红树林生态系统是湿地碳储量的核心贡献者,情景预测显示对比2020年的基准值,仅自然发展情景的碳储量下降3.6%,经济优先和生态保护情景分别增长4.4%和7.6%;(3)地理因子(高程、坡度、坡向)和气候因子(年均温、降水量)对碳储量空间分异具有显著解释力。值得注意的是,经济因子(与政府驻地距离、GDP密度)通过与自然因子的交互作用对碳储量的影响显著增强。本研究为热带红树林湿地的保护与修复,以及湿地科学管理提供了定量依据。

       

      Abstract: Background As a critical component of coastal wetland ecosystems, mangrove forests play a pivotal role in blue carbon sequestration within coastal zones. Investigating the spatiotemporal evolution of mangrove carbon stocks in Hainan Island and the underlying driving mechanisms holds significant scientific value for enhancing mangrove wetland conservation strategies and promoting regional sustainable development.Methods In this study, we integrated the PLUS (Patch-generating Land Use Simulation) model and the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model to systematically analyze the evolution of landscape patterns in mangrove wetlands and the spatiotemporal dynamics of carbon stocks in Hainan Island between 2000 and 2020. Furthermore, we simulated and predicted carbon stock dynamics under three scenarios—natural development, economic priority, and ecological protection—for the year 2030. Using a geographic detector model, the driving factors of carbon storage differences within wetland areas were identified. Results : 1) the mangrove area exhibited a significant growth trend during the study period, with a net increase of 1,329.84 hectares; the proportion of mangrove carbon stocks continued to rise, while carbon stocks in other woodland types showed a declining trend; 2) mangrove ecosystems are the primary contributors to wetland carbon stocks. Scenario simulations revealed that, compared to the 2020 baseline, carbon stocks under the natural/t/nscenario decreased by 3.6%, whereas those under the economic priority and ecological protection scenarios increased by 4.4% and 7.6%, respectively;(3) geographic factors (elevation, slope, and aspect) and climatic factors (mean annual temperature and precipitation) significantly explained the spatial heterogeneity of carbon stocks. Notably, economic factors (distance from government sites and GDP density) significantly enhanced their influence on carbon stocks through interactions with natural factors. Conclusion From 2000 to 2020, the area and carbon storage of mangroves in Hainan Island increased significantly, making them the dominant contributor to wetland carbon sinks. Scenario predictions show that compared with natural development, ecological protection policies will significantly enhance carbon storage in 2030. The spatial variation in mangrove carbon storage is primarily driven by physical geography and climatic factors, while economic factors exert significant influences through interactions with natural factors. This study provides a quantitative foundation for the scientific management of tropical mangrove wetlands and nature based climate solutions.

       

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