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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
通讯作者Fang, Linchuan(flinc629@hotmail.com)
2021-08-30
发表期刊GLOBAL ECOLOGY AND BIOGEOGRAPHY
ISSN1466-822X
页码15
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.
关键词biogeochemical cycles ecoenzymatic stoichiometry ecological modelling microbial macroecology microbial metabolic limitation soil microorganisms
DOI10.1111/geb.13378
关键词[WOS]CARBON-USE EFFICIENCY ; ECOENZYMATIC STOICHIOMETRY ; NUTRIENT LIMITATION ; ENZYME-ACTIVITY ; ECOLOGICAL STOICHIOMETRY ; GROWTH ; DECOMPOSITION ; COMMUNITIES ; RHIZOSPHERE ; ACQUISITION
收录类别SCI ; SCI
语种英语
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研究方向Environmental Sciences & Ecology ; Physical Geography
项目资助者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
WOS类目Ecology ; Geography, Physical
WOS记录号WOS:000691148000001
出版者WILEY
引用统计
被引频次:54[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/16958
专题生态环境研究室
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
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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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