Stoichiometric models of microbial metabolic limitation in soil systems
Cui, Yongxing1,2,3; Moorhead, Daryl L.4; Guo, Xiaobin5; Peng, Shushi3; Wang, Yunqiang6,7; Zhang, Xingchang1; Fang, Linchuan1,7
刊名GLOBAL ECOLOGY AND BIOGEOGRAPHY
2021-08-30
页码15
关键词biogeochemical cycles ecoenzymatic stoichiometry ecological modelling microbial macroecology microbial metabolic limitation soil microorganisms
ISSN号1466-822X
DOI10.1111/geb.13378
通讯作者Fang, Linchuan(flinc629@hotmail.com)
英文摘要Aim Ecoenzymatic stoichiometry provides a promising avenue for deciphering resource constraints on soil microbial metabolism but is hampered by limitations in current modelling techniques. Innovation Herein we developed new models for quantifying microbial metabolic limitations based on the stoichiometric and metabolic theories of ecology, using an extensive database (n = 2,667) that revealed relationships far from the widely recognized mean ratio of 1:1:1 for carbon : nitrogen : phosphorus (C : N : P) acquiring enzyme activities. We estimated the balance points of P and N acquisition (x(0), y(0)) in the absence of resource constraints to redefine the boundary between P versus N limitation. We then calculated two alternative boundary conditions defining P versus N limitation by scaling the classic threshold element ratio (TER), generating two new models (TEREEA and TERL). In addition, a new enzyme vector (V-T) model was devised by correcting traditional vector calculations based on observed enzyme activities against these balance points. Main conclusions These three new models more consistently predicted microbial metabolic limitations than the traditional TER and vector models. They also predicted that microbial metabolism in high-latitude grasslands and low-latitude forests were predominantly limited by soil N and P, respectively, and that increases in soil organic C with ecosystem development could intensify these limitations. In contrast, fertilizers alleviated these limitations in agricultural ecosystems, suggesting that widespread anthropogenic effects could potentially alter microbial resource limitations even in natural ecosystems. In addition, C limitation to microbial metabolism identified by the new V-T model showed a consistent negative correlation with microbial C use efficiency among ecosystems, confirming that resource constraints regulate microbial resource allocation. These new models provide more precise predictions of microbial metabolic limitations across a wide range of ecosystems and thus may be useful tools for the study of microbial macroecology.
资助项目Program of State Key Laboratory of Loess and Quaternary Geology CAS[SKLLQGZR1803] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB40000000] ; National Natural Science Foundation of China[41977031] ; Funds for International Cooperation and Exchange of National Natural Science Foundation of China[32061123007]
WOS关键词CARBON-USE EFFICIENCY ; ECOENZYMATIC STOICHIOMETRY ; NUTRIENT LIMITATION ; ENZYME-ACTIVITY ; ECOLOGICAL STOICHIOMETRY ; GROWTH ; DECOMPOSITION ; COMMUNITIES ; RHIZOSPHERE ; ACQUISITION
WOS研究方向Environmental Sciences & Ecology ; Physical Geography
语种英语
出版者WILEY
WOS记录号WOS:000691148000001
资助机构Program of State Key Laboratory of Loess and Quaternary Geology CAS ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Funds for International Cooperation and Exchange of National Natural Science Foundation of China
内容类型期刊论文
源URL[http://ir.ieecas.cn/handle/361006/16957]  
专题地球环境研究所_生态环境研究室
通讯作者Fang, Linchuan
作者单位1.CAS & MWR, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing, Peoples R China
4.Univ Toledo, Dept Environm Sci, 2801 W Bancroft St, Toledo, OH 43606 USA
5.Govt Newfoundland & Labrador, Dept Fisheries & Land Resources, Agr Prod & Res Div, Corner Brook, NF, Canada
6.Inst Earth Environm CAS, State Key Lab Loess & Quaternary Geol, Xian, Peoples R China
7.CAS Ctr Excellence Quaternary Sci & Global Change, Xian, Peoples R China
推荐引用方式
GB/T 7714
Cui, Yongxing,Moorhead, Daryl L.,Guo, Xiaobin,et al. Stoichiometric models of microbial metabolic limitation in soil systems[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2021:15.
APA Cui, Yongxing.,Moorhead, Daryl L..,Guo, Xiaobin.,Peng, Shushi.,Wang, Yunqiang.,...&Fang, Linchuan.(2021).Stoichiometric models of microbial metabolic limitation in soil systems.GLOBAL ECOLOGY AND BIOGEOGRAPHY,15.
MLA Cui, Yongxing,et al."Stoichiometric models of microbial metabolic limitation in soil systems".GLOBAL ECOLOGY AND BIOGEOGRAPHY (2021):15.
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