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

doi:10.1016/j.catena.2022.106037

	Global patterns and predictors of soil microbial biomass carbon, nitrogen, and phosphorus in terrestrial ecosystems
	Wang, Zhiqiang 1; Zhao, Mengying 2; Yan, Zhengbing 3; Yang, Yuanhe2 ; Niklas, Karl J.; Huang, Heng 5; Mipam, Tserang Donko 1; He, Xianjin 6; Hu, Huifeng 2; Wright, S. Joseph
	2022
发表期刊	CATENA
ISSN	0341-8162
卷号	211
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.
关键词	Soil microbial biomass carbon Soil microbial biomass nitrogen Soil microbial biomass phosphorus Spatial pattern Terrestrial ecosystems
学科领域	Geosciences, Multidisciplinary ; Soil Science ; Water Resources
DOI	10.1016/j.catena.2022.106037
收录类别	SCI
语种	英语
WOS关键词	EXTRACTION METHOD ; STOICHIOMETRY ; BIODIVERSITY ; BIOGEOGRAPHY ; LIMITATION ; HYPOTHESIS ; DYNAMICS
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000790434800001
出版者	ELSEVIER
文献子类	Article
出版地	AMSTERDAM
EISSN	1872-6887
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]
作者邮箱	xianjin.he@cqu.edu.cn ; huifhu@ibcas.ac.cn
引用统计	被引频次：29[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	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.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.Niklas, Karl J.] 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
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).

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