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

文献类型：期刊论文

作者Wang, Zhiqiang5; Zhao, Mengying4; Yan, Zhengbing3; Yang, Yuanhe4; Niklas, Karl J.; Huang, Heng8; Mipam, Tserang Donko5; He, Xianjin1; Hu, Huifeng4; Wright, S. Joseph
刊名CATENA
出版日期2022
卷号211
关键词Soil microbial biomass carbon Soil microbial biomass nitrogen Soil microbial biomass phosphorus Spatial pattern Terrestrial ecosystems
ISSN号0341-8162
DOI10.1016/j.catena.2022.106037
文献子类Article
英文摘要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.
学科主题Geosciences, Multidisciplinary ; Soil Science ; Water Resources
出版地AMSTERDAM
电子版国际标准刊号1872-6887
WOS关键词EXTRACTION METHOD ; STOICHIOMETRY ; BIODIVERSITY ; BIOGEOGRAPHY ; LIMITATION ; HYPOTHESIS ; DYNAMICS
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
WOS记录号WOS:000790434800001
出版者ELSEVIER
资助机构National Natural Science Foundation of China [31470498] ; National Key Research and Development Program [2015CB954200] ; Fundamental Research Funds for the Central Universities [2020NQN27] ; China Post-doctoral Science Foundation [2020M673123]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28962]  
专题植被与环境变化国家重点实验室
作者单位1.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
2.Univ Hong Kong, Sch Biol Sci, Div Ecol & Biodivers, Hong Kong, Peoples R China
3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
4.Southwest Minzu Univ, Inst Qinghai Tibetan Plateau, Chengdu 610041, Peoples R China
5.Southwest Minzu Univ, Sichuan Zoige Alpine Wetland Ecosyst Natl Observa, Chengdu 610041, Peoples R China
6.Smithsonian Trop Res Inst, Apartado 0843-03092, Balboa, Ancon, Panama
7.Chongqing Univ, Key Lab Three Gorges Reservoir Reg Ecoenvironm, Minist Educ, Chongqing, Peoples R China
8.Niklas, Karl J.] Cornell Univ, Plant Biol Sect, Sch Integrat Plant Sci, Ithaca, NY 14853 USA
推荐引用方式
GB/T 7714		 Wang, Zhiqiang,Zhao, Mengying,Yan, Zhengbing,et al. Global patterns and predictors of soil microbial biomass carbon, nitrogen, and phosphorus in terrestrial ecosystems[J]. CATENA,2022,211.
APA Wang, Zhiqiang.,Zhao, Mengying.,Yan, Zhengbing.,Yang, Yuanhe.,Niklas, Karl J..,...&Wright, S. Joseph.(2022).Global patterns and predictors of soil microbial biomass carbon, nitrogen, and phosphorus in terrestrial ecosystems.CATENA,211.
MLA Wang, Zhiqiang,et al."Global patterns and predictors of soil microbial biomass carbon, nitrogen, and phosphorus in terrestrial ecosystems".CATENA 211(2022).

入库方式： OAI收割

来源：植物研究所

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