Evaluating Emissions of Nitrous Oxide from Cropland Soils Under Different Rotations in Mato Grosso, Brazil:A Scenario Simulation Study
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  • 英文篇名:Evaluating Emissions of Nitrous Oxide from Cropland Soils Under Different Rotations in Mato Grosso, Brazil:A Scenario Simulation Study
  • 作者:Katharina ; H.E.MEURER ; Eric ; BOENECKE ; Uwe ; FRANKO
  • 英文作者:Katharina H.E.MEURER;Eric BOENECKE;Uwe FRANKO;Department of Ecology, Swedish University of Agricultural Sciences;Department of Soil System Science, Helmholtz Center for Environmental Research (UFZ);Department of Soil and Environment, Swedish Universityof Agricultural Sciences;
  • 英文关键词:agricultural systems;;Carbon and Nitrogen Dynamics;;CANDY model;;climate;;emission factor;;management;;soil property;;soil types
  • 中文刊名:TRQY
  • 英文刊名:土壤圈(英文版)
  • 机构:Department of Ecology, Swedish University of Agricultural Sciences;Department of Soil System Science, Helmholtz Center for Environmental Research (UFZ);Department of Soil and Environment, Swedish Universityof Agricultural Sciences;
  • 出版日期:2019-08-07
  • 出版单位:Pedosphere
  • 年:2019
  • 期:v.29
  • 基金:conducted within the framework of the project Carbiocial funded by the Federal Ministry for Education and Research(BMBF)of Germany(No.01LL0902F)
  • 语种:英文;
  • 页:TRQY201904003
  • 页数:12
  • CN:04
  • ISSN:32-1315/P
  • 分类号:26-37
摘要
Expansion of cropland involves immense land use changes, and the resulting intensified management practices have a strong influence on the functioning of the underlying soil. For instance, increased application of nitrogen(N) fertilizer is known to enhance fluxes of nitrous oxide(N_2O) from the soil to the atmosphere. The emission factor(EF) proposed by the Intergovernmental Panel on Climate Change(IPCC) assumes a linear relationship between added N and N_2O-N fluxes, but it does not account for environmental factors, such as soil properties or climate. Due to the high spatial and temporal variability of N_2O-N fluxes, mechanistic models are preferable in terms of extrapolation to larger scales. In this study, we evaluated simulated N_2O-N fluxes from soils under agricultural use in the Brazilian state, Mato Grosso, using the CANDY(Carbon and Nitrogen Dynamics) model. A control tool was developed in order to enable the simulation of 1 650 scenarios covering different sites(soil + climate) and management regimes(crop rotation +amount of applied fertilizer + sowing and harvesting dates). Results suggested that the sites had a very strong influence on calculated emissions, which is not accounted for by static EF. Furthermore, most fertilizer-induced N_2O-N fluxes derived from the scenario simulations were best described by a non-linear function. For sounder budgeting on the federal and national scale, there is still a strong need for long-term observations of continuous crop rotations and spatial distribution of soil types and their specific characteristics. The presented results provide a valuable starting point for developing further scenario simulations and adapting experimental campaigns for N_2O emission study.
        Expansion of cropland involves immense land use changes, and the resulting intensified management practices have a strong influence on the functioning of the underlying soil. For instance, increased application of nitrogen(N) fertilizer is known to enhance fluxes of nitrous oxide(N_2O) from the soil to the atmosphere. The emission factor(EF) proposed by the Intergovernmental Panel on Climate Change(IPCC) assumes a linear relationship between added N and N_2O-N fluxes, but it does not account for environmental factors, such as soil properties or climate. Due to the high spatial and temporal variability of N_2O-N fluxes, mechanistic models are preferable in terms of extrapolation to larger scales. In this study, we evaluated simulated N_2O-N fluxes from soils under agricultural use in the Brazilian state, Mato Grosso, using the CANDY(Carbon and Nitrogen Dynamics) model. A control tool was developed in order to enable the simulation of 1 650 scenarios covering different sites(soil + climate) and management regimes(crop rotation +amount of applied fertilizer + sowing and harvesting dates). Results suggested that the sites had a very strong influence on calculated emissions, which is not accounted for by static EF. Furthermore, most fertilizer-induced N_2O-N fluxes derived from the scenario simulations were best described by a non-linear function. For sounder budgeting on the federal and national scale, there is still a strong need for long-term observations of continuous crop rotations and spatial distribution of soil types and their specific characteristics. The presented results provide a valuable starting point for developing further scenario simulations and adapting experimental campaigns for N_2O emission study.
引文
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