Stand age affects emissions of N2O in flood-irrigated alfalfa: a comparison of field measurements, DNDC model simulations and IPCC Tier 1 estimates

被引:10
|
作者
Burger, Martin [1 ]
Haden, Van R. [2 ]
Chen, Han [1 ,3 ]
Six, Johan [4 ]
Horwath, William R. [1 ]
机构
[1] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
[2] Ohio State Univ, Agr Tech Inst, Wooster, OH 44691 USA
[3] Tsinghua Univ, Key Lab Earth Syst Numer Simulat, Ctr Earth Syst Sci, Beijing, Peoples R China
[4] Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland
关键词
Root turnover; Carbon availability; Dissolved organic carbon; Nitrogen mineralization; NITROUS-OXIDE EMISSIONS; GREENHOUSE GASES; CROPPING SYSTEMS; SOIL N2O; CARBON; CROPS; ROOT; DENITRIFICATION; NITRATE; MATTER;
D O I
10.1007/s10705-016-9808-8
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Predicting N2O emissions in perennial legume systems, such as alfalfa (Medicago sativa), is challenging due to the uncertainty regarding the interaction of biologically fixed nitrogen (N) with carbon sources, soil properties, and management factors. We measured alfalfa yields, N2O fluxes, and soil variables in adjacent flood-irrigated commercial fields with 2nd and 5th year stands of alfalfa planted in clay soil in California during one year. Cumulative annual N2O emissions from the 5th year alfalfa stand were 5.26 (+/- 0.55 standard error) kg N2O-N ha(-1) and more than twice as large as those in the adjacent 2nd year stand, which were 2.26 (+/- 0.25) kg N2O-N ha(-1). Annual yields of the 5th and 2nd year alfalfa stands were 12.1 and 14.1 Mg dry matter ha(-1), respectively. Annual emissions calculated according to current Intergovernmental Panel on Climate Change (IPCC 2006) methodology underestimated emissions by 74% (2nd year stand) and 90% (5th year stand), which highlights the limitation of estimating N2O emissions based solely on the biomass N inputs incorporated into the soil. The DeNitrification-DeComposition (DNDC) model, using as inputs soil properties, water inputs, yield potential, and climate data accurately predicted cumulative annual N2O emissions from both the 5th year (5.6 kg N2O-N ha(-1)) and the 2nd year (2.2 kg N2O-N ha(-1)) alfalfa stands, although there were discrepancies between measured and modeled daily flux values. The potential accumulation and mineralization of organic matter as a result of alfalfa root turnover is the most likely explanation for the increase in N2O emissions with stand age.
引用
收藏
页码:335 / 345
页数:11
相关论文
共 11 条
  • [1] Stand age affects emissions of N2O in flood-irrigated alfalfa: a comparison of field measurements, DNDC model simulations and IPCC Tier 1 estimates
    Martin Burger
    Van R. Haden
    Han Chen
    Johan Six
    William R. Horwath
    Nutrient Cycling in Agroecosystems, 2016, 106 : 335 - 345
  • [2] Comparison of APSIM and DNDC simulations of nitrogen transformations and N2O emissions
    Vogeler, I.
    Giltrap, D.
    Cichota, R.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2013, 465 : 147 - 155
  • [3] Estimates of N2O Emissions and Mitigation Potential from a Spring Maize Field Based on DNDC Model
    LI Hu
    QIU Jian-jun
    WANG Li-gang
    XU Ming-yi
    LIU Zhi-qiang
    WANG Wei
    JournalofIntegrativeAgriculture, 2012, 11 (12) : 2067 - 2078
  • [4] Estimates of N2O Emissions and Mitigation Potential from a Spring Maize Field Based on DNDC Model
    Li Hu
    Qiu Jian-Jun
    Wang Li-gang
    Xu Ming-yi
    Liu Zhi-qiang
    Wang Wei
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2012, 11 (12) : 2067 - 2078
  • [5] TransCom N2O model inter-comparison - Part 2: Atmospheric inversion estimates of N2O emissions
    Thompson, R. L.
    Ishijima, K.
    Saikawa, E.
    Corazza, M.
    Karstens, U.
    Patra, P. K.
    Bergamaschi, P.
    Chevallier, F.
    Dlugokencky, E.
    Prinn, R. G.
    Weiss, R. F.
    O'Doherty, S.
    Fraser, P. J.
    Steele, L. P.
    Krummel, P. B.
    Vermeulen, A.
    Tohjima, Y.
    Jordan, A.
    Haszpra, L.
    Steinbacher, M.
    Van der Laan, S.
    Aalto, T.
    Meinhardt, F.
    Popa, M. E.
    Moncrieff, J.
    Bousquet, P.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (12) : 6177 - 6194
  • [6] Higher than expected N2O emissions from soybean crops in the Pampas Region of Argentina: Estimates from DayCent simulations and field measurements
    Della Chiesa, Tomas
    Pineiro, Gervasio
    Grosso, Stephen J. Del
    Parton, William J.
    Araujo, Patricia I.
    Yahdjian, Laura
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 835
  • [7] Analysis of empirical methods for the quantification of N2O emissions in wastewater treatment plants: Comparison of emission results obtained from the IPCC Tier 1 methodology and the methodologies that integrate operational data
    Ramirez-Melgarejo, Monserrat
    Reyes-Figueroa, A. D.
    Gasso-Domingo, Santiago
    Patricia Guereca, Leonor
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 747
  • [8] Comparison of N2O emissions from soils at three temperate agricultural sites: simulations of year-round measurements by four models
    S.E. Frolking
    A.R. Mosier
    D.S. Ojima
    C. Li
    W.J. Parton
    C.S. Potter
    E. Priesack
    R. Stenger
    C. Haberbosch
    P. Dörsch
    H. Flessa
    K.A. Smith
    Nutrient Cycling in Agroecosystems, 1998, 52 : 77 - 105
  • [9] Comparison of N2O emissions from soils at three temperate agricultural sites:: simulations of year-round measurements by four models
    Frolking, SE
    Mosier, AR
    Ojima, DS
    Li, C
    Parton, WJ
    Potter, CS
    Priesack, E
    Stenger, R
    Haberbosch, C
    Dorsch, P
    Flessa, H
    Smith, KA
    NUTRIENT CYCLING IN AGROECOSYSTEMS, 1998, 52 (2-3) : 77 - 105
  • [10] Effects of agricultural management and of climate change on N2O emissions in an area of the Brazilian Cerrado: Measurements and simulations using the STICS soil-crop model
    da Silva, Fernando Antonio Macena
    de Oliveira, Alexsandra Duarte
    de Carvalho, Arminda Moreira
    Marchao, Robelio Leandro
    Luiz, Alfredo Jose Barreto
    Ribeiro, Fabiana Piontekowski
    Mueller, Artur Gustavo
    AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2024, 363