环境科学
碳循环
气候变化
全球变暖
大气科学
垃圾箱
初级生产
碳汇
地球大气中的二氧化碳
二氧化碳
植物凋落物
全球变化
碳纤维
气候学
生态学
生态系统
生物
数学
复合数
地质学
算法
作者
Zihao Chen,Xiangyin Ni,Guillaume Patoine,Changhui Peng,Kai Yue,Ji Yuan,Qiuxia Wu,Nico Eisenhauer,Carlos A. Guerra,Roland Bol,Fuzhong Wu,G. Geoff Wang
摘要
Abstract With over one‐third of terrestrial net primary productivity transferring to the litter layer annually, the carbon release from litter serves as a crucial valve in atmospheric carbon dioxide concentrations. However, few quantitative global projections of litter carbon release rate in response to climate change exist. Here, we combined a global foliar litter carbon release dataset (8973 samples) to generate spatially explicitly estimates of the response of their residence time ( τ ) to climate change. Results show a global mean litter carbon release rate () of 0.69 year −1 (ranging from 0.09–5.6 year −1 ). Under future climate scenarios, global mean τ is projected to decrease by a mean of 2.7% (SSP 1–2.6) and 5.9% (SSP 5–8.5) during 2071–2100 period. Locally, the alleviation of temperature and moisture restrictions corresponded to obvious decreases in τ in cold and arid regions, respectively. In contract, τ in tropical humid broadleaf forests increased by 4.6% under SSP 5–8.5. Our findings highlight the vegetation type as a powerful proxy for explaining global patterns in foliar litter carbon release rates and the role of climate conditions in predicting responses of carbon release to climate change. Our observation‐based estimates could refine carbon cycle parameterization, improving projections of carbon cycle–climate feedbacks.
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