气候变化
土地利用
环境科学
土地利用、土地利用的变化和林业
高原(数学)
碳循环
生态系统服务
固碳
全球变暖
自然地理学
环境变化
基线(sea)
温室气体
生态系统
地理
环境保护
二氧化碳
生态学
地质学
海洋学
生物
数学分析
数学
作者
Miaoni Gao,Runhong Xu,Jinlong Huang,Buda Su,Shan Jiang,Peijun Shi,Haifeng Yang,Yun Xing,Dongfang Wang,Han Jiang,Zbigniew W. Kundzewicz,Tong Jiang
标识
DOI:10.1016/j.jclepro.2023.137540
摘要
Under climate change, land use has an essential effect on the carbon cycle in the climate change sensitive area of Qinghai-Tibet Plateau (QTP). This study about ambitions to check out the spatial and temporal patterns of carbon storage (CS) on the QTP under future land-use changes and their influencing factors. Based on historical and projected climate and land-use information and the compiled carbon-intensity dataset derived from 839 sampling points, we projected future changes in CS in the region. We projected changes of CS in the QTP in the near-term (2021–2040), mid-term (2041–2060), and long-term (2081–2100) periods, using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. We found that the total carbon storage (TCS) from 1980 to 2020 was approximately equal to 247–259 × 108 t, where Csoil had the greatest contribution (about 88% of the TCS), while Cabove, Cbelow and Cdead accounted for approximately 5%, 5% and 2% of the TCS, respectively. Furthermore, the TCS decreased from southeast to northwest, corresponding to decreasing forest coverage and increasing unused land area in the QTP. Compared to the baseline period (1995–2014, 259 × 108 t), the CS in the QTP under the Shared Socioeconomic Pathways (SSPs) is expected to increase by 7.3–13.5%, 6.2–14.7% and 5.4–14.3% in the three future periods, respectively. Spatially, the carbon increase will be concentrated in the southeastern and northern parts of the QTP, where the land-use types are mainly forest land and grassland. Increases in precipitation and temperature are predicted to take place for the duration of the QTP in the future, driving land-use changes that are projected to result in increased area of forest land, which would increase CS. The CS in QTP is high, being influenced by land use and climatic factors, and future climate change may enhance the carbon sink capacity of the QTP.
科研通智能强力驱动
Strongly Powered by AbleSci AI