Zhou Jingru, Johnson Verner Carl, Shi Jingchao, Tan Mou Leong, Zhang Fei
College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, China.
Department of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, CO, United States of America.
PLoS One. 2025 Jan 24;20(1):e0316255. doi: 10.1371/journal.pone.0316255. eCollection 2025.
Influenced by urban expansion, population growth, and various socio-economic activities, land use in the Yangtze River Delta (YRD) area has undergone prominent changes. Modifications in land use have resulted in adjustments to ecological structures, leading to subsequent fluctuations in carbon storage. This study focuses on YRD region and analyzes the characteristics of land use changes in the area using land use data from 2000 to 2020, with a 10-year interval. Utilizing InVEST Model's Carbon Storage module in combination with PLUS model (patch-generating land use simulation), we simulated and projected future land use patterns and carbon storage across YRD region under five scenarios including natural development (ND), urban development (UD), ecological protection (EP), cropland protection (CP), and balanced development (BD). Upon comparing carbon storage levels predicted for 2030 under the five scenarios with those in 2020, carbon stocks decrease in the initial four scenarios and then increase in the fifth scenario. In the initial four declining scenarios, CP scenario had the least reduction in carbon storage, followed by EP scenario. The implementation of policies aimed at safeguarding cropland and preserving ecological integrity can efficaciously curtail the expansion of developed land into woodland and cropland, enhance the structure of land use, and mitigate the loss of carbon storage.
受城市扩张、人口增长及各种社会经济活动的影响,长江三角洲(YRD)地区的土地利用发生了显著变化。土地利用的改变导致了生态结构的调整,进而引发了碳储量的波动。本研究聚焦于长江三角洲地区,利用2000年至2020年间隔为10年的土地利用数据,分析了该地区土地利用变化的特征。结合PLUS模型(斑块生成土地利用模拟),利用InVEST模型的碳储量模块,我们模拟并预测了长江三角洲地区在自然发展(ND)、城市发展(UD)、生态保护(EP)、耕地保护(CP)和平衡发展(BD)这五种情景下未来的土地利用模式和碳储量。将五种情景下预测的2030年碳储量水平与2020年的进行比较后发现,前四种情景下碳储量下降,而在第五种情景下碳储量增加。在前四种下降情景中,CP情景下碳储量减少最少,其次是EP情景。实施旨在保护耕地和维护生态完整性的政策能够有效抑制建设用地向林地和耕地的扩张,优化土地利用结构,并减轻碳储量的损失。