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 |
ISSN | 1466-822X |
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 |
DOI | 10.1111/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 | |
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 |
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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