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

被引:22
|
作者
Chen, Shutao [1 ]
Zou, Jianwen [2 ]
Hu, Zhenghua [3 ]
Lu, Yanyu [4 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Agr Meteorol, Nanjing 210044, Jiangsu, Peoples R China
[2] Nanjing Agr Univ, Coll Resources & Environm Sci, Nanjing 210095, Jiangsu, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Nanjing 210044, Jiangsu, Peoples R China
[4] Anhui Weather Bur, Climate Ctr, Hefei 230031, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
net ecosystem productivity; gross primary productivity; ecosystem respiration; controlling factors; vegetation; model; NET ECOSYSTEM EXCHANGE; WATER-USE EFFICIENCY; LAND-USE CHANGE; SOIL RESPIRATION; EDDY COVARIANCE; INTERANNUAL VARIABILITY; DIOXIDE EXCHANGE; SPATIAL VARIABILITY; NORTHERN TEMPERATE; LONG-TERM;
D O I
10.1007/s00376-019-8194-y
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
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 drivers. The 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 biomes. Maximum 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.
引用
收藏
页码:679 / 696
页数:18
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