Global patterns and predictors of soil microbial biomass carbon, nitrogen, and phosphorus in terrestrial ecosystems

被引:39
|
作者
Wang, Zhiqiang [1 ,2 ]
Zhao, Mengying [3 ]
Yan, Zhengbing [4 ]
Yang, Yuanhe [3 ]
Niklas, Karl J. [5 ]
Huang, Heng [6 ]
Mipam, Tserang Donko [2 ]
He, Xianjin [7 ]
Hu, Huifeng [3 ]
Wright, S. Joseph [8 ]
机构
[1] Southwest Minzu Univ, Sichuan Zoige Alpine Wetland Ecosyst Natl Observa, Chengdu 610041, Peoples R China
[2] Southwest Minzu Univ, Inst Qinghai Tibetan Plateau, Chengdu 610041, Peoples R China
[3] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
[4] Univ Hong Kong, Sch Biol Sci, Div Ecol & Biodivers, Hong Kong, Peoples R China
[5] Cornell Univ, Plant Biol Sect, Sch Integrat Plant Sci, Ithaca, NY 14853 USA
[6] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
[7] Chongqing Univ, Key Lab Three Gorges Reservoir Reg Ecoenvironm, Minist Educ, Chongqing, Peoples R China
[8] Smithsonian Trop Res Inst, Apartado 0843-03092, Balboa, Ancon, Panama
基金
中国国家自然科学基金;
关键词
Soil microbial biomass carbon; Soil microbial biomass nitrogen; Soil microbial biomass phosphorus; Spatial pattern; Terrestrial ecosystems; EXTRACTION METHOD; STOICHIOMETRY; BIODIVERSITY; BIOGEOGRAPHY; LIMITATION; HYPOTHESIS; DYNAMICS;
D O I
10.1016/j.catena.2022.106037
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Soil microbes play key roles in driving and regulating nutrient cycling in terrestrial ecosystems. However, a lack of global-scale information regarding the distribution of soil microbial biomass carbon (SMB C), nitrogen (SMB N), and phosphorus (SMB P) in terrestrial ecosystems has limited our ability to incorporate the broad-scale soil microbial nutritional properties and the associated processes into biogeochemical models. Here, we synthesized a global dataset including 3801 observations for SMB C, 3154 observations of SMB N, and 2429 observations of SMB P in the top 0-30 cm soil depth. Based on this comprehensive global dataset, we generated quantitative and spatially explicit maps of SMB C, N, and P across terrestrial ecosystems using a random forest approach. We also quantified the relative importance of multiple environmental variables in predicting the spatial variation of SMB C, N, and P concentrations and then made further predictions at a global scale. Soil organic carbon (SOC) was the most important factor in predicting SMB C, N, and P at a global scale. At the global scale, the storage of SMB C, N, and P were estimated to be 23.13 Pg C, 3.93 Pg N and 2.16 Pg P in the top 0-30 cm soil surface, respectively. Our global maps of SMB C, N, and P presented here can be used to constraint Earth system models, and provide the first step forward to predict the roles of soil microbial nutrients in terrestrial nutrient cycling.
引用
收藏
页数:9
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