Climate and Vegetation Drivers of Terrestrial Carbon Fluxes:A Global Data Synthesis

作     者：Shutao CHEN Jianwen ZOU Zhenghua HU Yanyu LU 

作者机构：Jiangsu Key Laboratory of Agricultural MeteorologyNanjing University of Information Science and TechnologyNanjing210044China College of Resources and Environmental SciencesNanjing Agricultural UniversityNanjing210095China School of Applied MeteorologyNanjing University of Information Science and TechnologyNanjing210044China Climate CenterAnhui Weather BureauHefei230031China 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2019年第36卷第7期

页      面：679-696页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：financially supported by the National Natural Science Foundation of China (Grant Nos. 41775151  41530533 and 41775152) 

主　　题：net ecosystem productivity gross primary productivity ecosystem respiration controlling factors vegetation model 

摘      要：The terrestrial carbon(C) cycle plays an important role in global climate change, but the vegetation and environmental drivers of C fluxes are poorly understood. We established a global dataset with 1194 available data across site-years including gross primary productivity(GPP), ecosystem respiration(ER), net ecosystem productivity(NEP), and relevant environmental factors to investigate the variability in GPP, ER and NEP, as well as their covariability with climate and vegetation *** results indicated that both GPP and ER increased exponentially with the increase in mean annual temperature(MAT)for all biomes. Besides MAT, annual precipitation(AP) had a strong correlation with GPP(or ER) for non-wetland *** leaf area index(LAI) was an important factor determining C fluxes for all biomes. The variations in both GPP and ER were also associated with variations in vegetation characteristics. The model including MAT, AP and LAI explained 53%of the annual GPP variations and 48% of the annual ER variations across all biomes. The model based on MAT and LAI explained 91% of the annual GPP variations and 92.9% of the annual ER variations for the wetland sites. The effects of LAI on GPP, ER or NEP highlighted that canopy-level measurement is critical for accurately estimating ecosystem–atmosphere exchange of carbon dioxide. The present study suggests a significance of the combined effects of climate and vegetation(e.g.,LAI) drivers on C fluxes and shows that climate and LAI might influence C flux components differently in different climate regions.