陈绮桐, 林锦耀. 多情景下珠江三角洲地区土地利用变化对生态系统服务的影响预测[J]. 生态与农村环境学报, 2024, 40(5): 612-621. DOI: 10.19741/j.issn.1673-4831.2023.0645
    引用本文: 陈绮桐, 林锦耀. 多情景下珠江三角洲地区土地利用变化对生态系统服务的影响预测[J]. 生态与农村环境学报, 2024, 40(5): 612-621. DOI: 10.19741/j.issn.1673-4831.2023.0645
    CHEN Qi-tong, LIN Jin-yao. Prediction of the Impact of Land Use Change on Ecosystem Service in the Pearl River Delta under Different Scenarios[J]. Journal of Ecology and Rural Environment, 2024, 40(5): 612-621. DOI: 10.19741/j.issn.1673-4831.2023.0645
    Citation: CHEN Qi-tong, LIN Jin-yao. Prediction of the Impact of Land Use Change on Ecosystem Service in the Pearl River Delta under Different Scenarios[J]. Journal of Ecology and Rural Environment, 2024, 40(5): 612-621. DOI: 10.19741/j.issn.1673-4831.2023.0645

    多情景下珠江三角洲地区土地利用变化对生态系统服务的影响预测

    Prediction of the Impact of Land Use Change on Ecosystem Service in the Pearl River Delta under Different Scenarios

    • 摘要: 土地资源的有序开发是区域可持续发展的基础, 针对未来不同情景下土地利用变化对区域生态系统服务的影响进行科学评估与预测, 可以为城市可持续发展规划提供科学参考。以珠江三角洲(珠三角)地区为研究区域, 采用PLUS模型模拟不同情景下土地利用变化, 结合InVEST模型对各情景下产水量、土壤保持量、生境质量、碳储量和水质净化服务及其变化进行预测, 构建综合生态系统服务指数从空间上反映各生态系统服务供给量, 分析2040年不同情景下土地利用变化对生态系统服务的综合影响。结果表明: (1) PLUS模型模拟精度较高, 可用于合理预测珠三角土地利用变化。(2)在自然发展情景下, 仅土壤保持服务供给水平得到提高; 在城市发展情景下, 除水质净化服务损失严重外, 其他服务供给损失变化与自然发展情景相似; 在生态保护情景下, 生境质量和碳储量提升幅度最大, 而产水量下降幅度最大; 在可持续发展情景下, 水质净化能力损失最严重。(3)2040年不同情景下珠三角综合生态系统服务指数空间分布格局相似, 与2020年相比, 生态系统服务总体水平将有所提高, 但整体上预测平均值较低。该研究可为未来珠三角土地利用规划提供参考建议, 为协调土地利用与生态保护管理提供新思路。

       

      Abstract: The orderly development of land resources is fundamental to achieving sustainable regional development. Scientific assessment and prediction of the impacts of land use changes on regional ecosystem services under different scenarios in the future can provide valuable guidance for sustainable urban planning. Taking the Pearl River Delta (PRD) urban agglomeration as the study area, the PLUS model was used to simulate land use changes under different scenarios. The results combined with the InVEST model were used to predict the changes in water yield, soil conservation, habitat quality, carbon storage, and water purification services under different scenarios. Subsequently, a comprehensive index for ecosystem services was constructed to spatially reflect the supply of ecosystem services. Finally, the comprehensive impacts of future land use changes on ecosystem services were analyzed under different scenarios in 2040. The results show that: (1) The PLUS model exhibits high simulation accuracy and can reasonably predict land use changes in the PRD. (2) Under the natural development scenario, only the level of soil conservation service provision increases; under the urban development scenario, there will be a similar loss in service provision as the natural development scenario, except for a severe loss of water purification services; under the ecological protection scenario, it shows the greatest increase in habitat quality and carbon stocks, but the greatest decrease in water production; and under the sustainable development scenario, it shows the greatest loss of water purification capacity. (3) The spatial distribution patterns of the composite ecosystem service indices in the PRD in 2040 to be similar across all the different scenarios. The overall level of ecosystem services is projected to increase compared with that in 2020, but the overall projected mean value is lower. This study can provide practical suggestions for future land use planning in the PRD and new insights for coordinating land use management and ecological protection.

       

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