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High‐resolution mapping of the global silicate weathering carbon sink and its long‐term changes

风化作用 水槽(地理) 硅酸盐 环境科学 大气科学 碳汇 地表径流 降水 土壤科学 气候变化 地质学 化学 地球化学 气象学 生态学 地理 海洋学 生物 地图学 有机化学
作者
Chaojun Li,Xiaoyong Bai,Qiu Tan,Guangjie Luo,Luhua Wu,Fei Chen,Huipeng Xi,Xuling Luo,Ran Chen,Huan Chen,Sirui Zhang,Min Liu,Suhua Gong,Lian Xiong,Fengjiao Song,Biqin Xiao,Chaochao Du
出处
期刊:Global Change Biology [Wiley]
卷期号:28 (14): 4377-4394 被引量:65
标识
DOI:10.1111/gcb.16186
摘要

Abstract Climatic and non‐climatic factors affect the chemical weathering of silicate rocks, which in turn affects the CO 2 concentration in the atmosphere on a long‐term scale. However, the coupling effects of these factors prevent us from clearly understanding of the global weathering carbon sink of silicate rocks. Here, using the improved first‐order model with correlated factors and non‐parametric methods, we produced spatiotemporal data sets (0.25° × 0.25°) of the global silicate weathering carbon‐sink flux (SCSF α ) under different scenarios (SSPs) in present (1950–2014) and future (2015–2100) periods based on the Global River Chemistry Database and CMIP6 data sets. Then, we analyzed and identified the key regions in space where climatic and non‐climatic factors affect the SCSF α . We found that the total SCSF α was 155.80 ± 90 Tg C yr −1 in present period, which was expected to increase by 18.90 ± 11 Tg C yr −1 (12.13%) by the end of this century. Although the SCSF α in more than half of the world was showing an upward trend, about 43% of the regions were still showing a clear downward trend, especially under the SSP2‐4.5 scenario. Among the main factors related to this, the relative contribution rate of runoff to the global SCSF α was close to 1/3 (32.11%), and the main control regions of runoff and precipitation factors in space accounted for about 49% of the area. There was a significant negative partial correlation between leaf area index and silicate weathering carbon sink flux due to the difference between the vegetation types. We have emphasized quantitative analysis the sensitivity of SCSF α to critical factors on a spatial grid scale, which is valuable for understanding the role of silicate chemical weathering in the global carbon cycle.
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