Global soil consumption of atmospheric carbon monoxide: an analysis using a process-based biogeochemistry model

被引:26
|
作者
Liu, Licheng [1 ]
Zhuang, Qianlai [1 ,2 ]
Zhu, Qing [1 ,3 ]
Liu, Shaoqing [1 ,4 ]
van Asperen, Hella [5 ]
Pihlatie, Mari [6 ,7 ]
机构
[1] Purdue Univ, Dept Earth, Atmospher, Planetary Sci, W Lafayette, IN 47907 USA
[2] Purdue Univ, Dept Agron, W Lafayette, IN 47907 USA
[3] Lawrence Berkeley Natl Lab, Climate Sci Dept, Climate & Ecosyst Sci Div, Berkeley, CA 94720 USA
[4] Univ Minnesota, Dept Earth Sci, Minneapolis, MN 55455 USA
[5] Univ Bremen, Inst Environm Phys, Otto Hahn Allee 1, D-28359 Bremen, Germany
[6] Univ Helsinki, Dept Phys, POB 48, FIN-00014 Helsinki, Finland
[7] Dept Forest Sci, POB 27, Helsinki 00014, Finland
关键词
TERRESTRIAL ECOSYSTEMS; NORTHERN-HEMISPHERE; METHANE FLUXES; CO FLUXES; FOREST; CHEMISTRY; EMISSIONS; CH4; HYDROGEN; DIOXIDE;
D O I
10.5194/acp-18-7913-2018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon monoxide (CO) plays an important role in controlling the oxidizing capacity of the atmosphere by reacting with OH radicals that affect atmospheric methane (CH4) dynamics. We develop a process-based biogeochemistry model to quantify the CO exchange between soils and the atmosphere with a 5 min internal time step at the global scale. The model is parameterized using the CO flux data from the field and laboratory experiments for 11 representative ecosystem types. The model is then extrapolated to global terrestrial ecosystems using monthly climate forcing data. Global soil gross consumption, gross production, and net flux of the atmospheric CO are estimated to be from -197 to -180, 34 to 36, and -163 to -145 TgCOyr(-1) (1 Tg = 10(12) g), respectively, when the model is driven with satellite-based atmospheric CO concentration data during 2000-2013. Tropical evergreen forest, savanna and deciduous forest areas are the largest sinks at 123 TgCOyr(-1). The soil CO gross consumption is sensitive to air temperature and atmospheric CO concentration, while the gross production is sensitive to soil organic carbon (SOC) stock and air temperature. By assuming that the spatially distributed atmospheric CO concentrations (similar to 128 ppbv) are not changing over time, the global mean CO net deposition velocity is estimated to be 0.16-0.19mms 1 during the 20th century. Under the future climate scenarios, the CO deposition velocity will increase at a rate of 0.0002-0.0013 mms 1 r(-1) during 2014-2100, reaching 0.20-0.30 mm s(-1) by the end of the 21st century, primarily due to the increasing temperature. Areas near the Equator, the eastern US, Europe and eastern Asia will be the largest sinks due to optimum soil moisture and high temperature. The annual global soil net flux of atmospheric CO is primarily controlled by air temperature, soil temperature, SOC and atmospheric CO concentrations, while its monthly variation is mainly determined by air temperature, precipitation, soil temperature and soil moisture.
引用
收藏
页码:7913 / 7931
页数:19
相关论文
共 50 条
  • [21] A process-based model for the chlorophyll to carbon ratio in phytoplankton
    Zonneveld, C.
    PHYCOLOGIA, 1997, 36 (04) : 129 - 130
  • [22] Assessment of soil water, carbon and nitrogen cycling in reseeded grassland on the NorthWyke Farm Platform using a process-based model
    Li, Yuefen
    Liu, Yi
    Harris, Paul
    Sint, Hadewij
    Murray, Phil J.
    Lee, Michael R. F.
    Wu, Lianhai
    SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 603 : 27 - 37
  • [23] Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide
    Ryan, Edmund
    Wild, Oliver
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2021, 14 (09) : 5373 - 5391
  • [24] Sediment budget analysis of the Guayas River using a process-based model
    Barrera Crespo, Pedro D.
    Mosselman, Erik
    Giardino, Alessio
    Becker, Anke
    Ottevanger, Willem
    Nabi, Mohamed
    Arias-Hidalgo, Mijail
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2019, 23 (06) : 2763 - 2778
  • [25] Global carbon exchange and methane emissions from natural wetlands: Application of a process-based model
    Cao, MK
    Marshall, S
    Gregson, K
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1996, 101 (D9) : 14399 - 14414
  • [26] GLOBAL SENSITIVITY ANALYSIS OF WINTER WHEAT YIELD AND PROCESS-BASED VARIABLE WITH AQUACROP MODEL
    Xing, Huimin
    Xu, Xingang
    Yang, Fuqin
    Feng, Haikuan
    Yang, Guijin
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 5929 - 5932
  • [27] Process-based analysis of terrestrial carbon flux predictability
    Dunkl, Istvan
    Spring, Aaron
    Friedlingstein, Pierre
    Brovkin, Victor
    EARTH SYSTEM DYNAMICS, 2021, 12 (04) : 1413 - 1426
  • [28] Process-based simulation of contrail cirrus in a global climate model
    Burkhardt, Ulrike
    Kaercher, Bernd
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114
  • [29] A process-based model for pentachlorophenol dissipation in a flooded paddy soil
    Ying, Shanshan
    Li, Jia
    Lin, Jiajiang
    He, Yan
    Wu, Laosheng
    Zeng, Lingzao
    ENVIRONMENTAL POLLUTION, 2018, 243 : 1422 - 1433
  • [30] An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling
    Wang, Lingfei
    Abramowitz, Gab
    Wang, Ying-Ping
    Pitman, Andy
    Viscarra Rossel, Raphael A.
    SOIL, 2024, 10 (02) : 619 - 636