Quantifying global N2O emissions from natural ecosystem soils using trait-based biogeochemistry models
Abstract
A group of soil microbes plays an important role in nitrogen cycling and N2O emissions from natural ecosystem soils. Wedeveloped a trait-based biogeochemical model based on an extant process-based biogeochemistry model, the Terrestrial Ecosystem Model (TEM), by incorporating the detailed microbial physiological processes of nitrification. The effect of ammonia-oxidizing Archaea (AOA),ammonia-oxidizing bacteria (AOB), and nitrite-oxidizing bacteria (NOB) was considered in modeling nitrification. Microbial traits, including microbial biomass and density, were explicitly considered. In addition,nitrogen cycling was coupled with carbon dynamics based on stoichiometry theory between carbon and nitrogen. The model was parameterized using observational data and then applied to quantifying global N2O emissions from global terrestrial ecosystem soils from 1990 to 2000. Our estimates of 8.7±1.6 Tg N yr–1 generally agreed with previous estimates during the study period. Tropical forests are a major emitter,accounting for 42 % of the global emissions. The model was more sensitive to temperature and precipitation and less sensitive to soil organic carbon and nitrogen contents. Compared to the model without considering the detailed microbial activities, the new model shows more variations in response to seasonal changes in climate. Our study suggests that further information on microbial diversity and ecophysiology features is needed. The more specificmore »
- Publication Date:
- Research Org.:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF)
- OSTI Identifier:
- 1610031
- Grant/Contract Number:
- FG02-08ER64599
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Biogeosciences (Online)
- Additional Journal Information:
- Journal Name: Biogeosciences (Online); Journal Volume: 16; Journal Issue: 2; Journal ID: ISSN 1726-4189
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; 59 BASIC BIOLOGICAL SCIENCES; Environmental Sciences & Ecology; Geology
Citation Formats
Yu, Tong, and Zhuang, Qianlai. Quantifying global N2O emissions from natural ecosystem soils using trait-based biogeochemistry models. United States: N. p., 2019.
Web. doi:10.5194/bg-16-207-2019.
Yu, Tong, & Zhuang, Qianlai. Quantifying global N2O emissions from natural ecosystem soils using trait-based biogeochemistry models. United States. https://doi.org/10.5194/bg-16-207-2019
Yu, Tong, and Zhuang, Qianlai. Mon .
"Quantifying global N2O emissions from natural ecosystem soils using trait-based biogeochemistry models". United States. https://doi.org/10.5194/bg-16-207-2019. https://www.osti.gov/servlets/purl/1610031.
@article{osti_1610031,
title = {Quantifying global N2O emissions from natural ecosystem soils using trait-based biogeochemistry models},
author = {Yu, Tong and Zhuang, Qianlai},
abstractNote = {A group of soil microbes plays an important role in nitrogen cycling and N2O emissions from natural ecosystem soils. Wedeveloped a trait-based biogeochemical model based on an extant process-based biogeochemistry model, the Terrestrial Ecosystem Model (TEM), by incorporating the detailed microbial physiological processes of nitrification. The effect of ammonia-oxidizing Archaea (AOA),ammonia-oxidizing bacteria (AOB), and nitrite-oxidizing bacteria (NOB) was considered in modeling nitrification. Microbial traits, including microbial biomass and density, were explicitly considered. In addition,nitrogen cycling was coupled with carbon dynamics based on stoichiometry theory between carbon and nitrogen. The model was parameterized using observational data and then applied to quantifying global N2O emissions from global terrestrial ecosystem soils from 1990 to 2000. Our estimates of 8.7±1.6 Tg N yr–1 generally agreed with previous estimates during the study period. Tropical forests are a major emitter,accounting for 42 % of the global emissions. The model was more sensitive to temperature and precipitation and less sensitive to soil organic carbon and nitrogen contents. Compared to the model without considering the detailed microbial activities, the new model shows more variations in response to seasonal changes in climate. Our study suggests that further information on microbial diversity and ecophysiology features is needed. The more specific guilds and their traits shall be considered in future soil N2O emission quantifications.},
doi = {10.5194/bg-16-207-2019},
journal = {Biogeosciences (Online)},
number = 2,
volume = 16,
place = {United States},
year = {Mon Jan 21 00:00:00 EST 2019},
month = {Mon Jan 21 00:00:00 EST 2019}
}
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Works referencing / citing this record:
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