土地覆盖
土地利用
气候变化
环境科学
草原
生态系统服务
土地利用、土地利用的变化和林业
生态系统
中国
全球变暖
全球变化
固碳
代表性浓度途径
人口
环境资源管理
地理
生态学
气候模式
二氧化碳
考古
生物
人口学
社会学
作者
Jing Liu,Kun Yang,Shaohua Zhang,Wenxia Zeng,Xiaofang Yang,Yan Rao,Yan Ma,Changyou Bi
摘要
ABSTRACT Changes in terrestrial ecosystem carbon storage (CS) affect the global carbon cycle, thereby influencing global climate change. Land use/land cover (LULC) shifts are key drivers of CS changes, making it crucial to predict their impact on CS for low‐carbon development. Most studies model future LULC by adjusting change proportions, leading to overly subjective simulations. We integrated the Integrated Valuation of Ecosystem Services and Trade‐offs (InVEST) model, the Patch‐generating Land Use Simulation (PLUS) model, and the Land Use Harmonization 2 (LUH2) dataset to simulate future LULC in Yunnan under different SSP‐RCP scenarios of climate and economic development. Within the new PLUS‐InVEST‐LUH2 framework, we systematically analyzed LULC alterations and their effects on CS from 1980 to 2040. Results demonstrated that: (1) Forestland had the highest CS, whereas built‐up land and water showed minimal levels. Western areas boast higher CS, while the east has lower. From 1980 to 2020, CS continuously decreased by 29.55 Tg. In the wake of population increase and economic advancement, the area of built‐up land expanded by 2.75 times. Built‐up land encroaches on other land categories and is a key cause of the reduction in CS. (2) From 2020 to 2040, mainly due to an increase in forestland, CS rose to 3934.65 Tg under the SSP1‐2.6 scenario, whereas under the SSP2‐4.5 scenario, primarily due to a reduction in forestland and grassland areas, CS declined to 3800.86 Tg. (3) Forestland is the primary contributor to CS, whereas the ongoing enlargement of built‐up land is causing a sustained decline in CS. Scenario simulations indicate that future LULC changes under different scenarios will have a significant impact on CS in Yunnan. Under a green sustainable development pathway, Yunnan can exhibit significant carbon sink potential. Overall, this research offers a scientific reference for optimizing land management and sustainable development in Yunnan, aiding China's “double carbon” goals.
科研通智能强力驱动
Strongly Powered by AbleSci AI