Mitigation strategies for greenhouse gas emissions from agriculture using a regional economic-ecosystem model

被引:47
|
作者
Neufeldt, Henry [1 ,2 ]
Schaefer, Michael [3 ]
机构
[1] Univ E Anglia, Tyndall Ctr Climate Change Res, Norwich NR4 7TJ, Norfolk, England
[2] Inst Energy & Environm, D-04347 Leipzig, Germany
[3] Univ Hohenheim, Dept Farm Management, D-70593 Stuttgart, Germany
关键词
agricultural greenhouse gas emissions; economic-ecosystem modeling; greenhouse gas mitigation policies; farming systems; emission cap; nitrogen tax; livestock extensification; marginal abatement costs;
D O I
10.1016/j.agee.2007.07.008
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Environmentally effective and economically efficient strategies and measures to reduce GHG emissions from agricultural systems could significantly contribute to GHG emission abatement. As a case study we therefore estimate the possible environmental and economic impacts of different mitigation policies (emission tax, emission cap, nitrogen tax, and livestock extensification) for typical farming systems in the German federal state of Baden-Wurttemberg by coupling an economic farm model with a biophysical model. This allows for an integrated analysis of the complex interactions between socioeconomic and biological systems and provides policyrnakers with information necessary to take responsible action. For the baseline scenario, average annual GHG emissions in Baden-Wurttemberg are 4.5 Mg CO2-eq ha(-1) and range from 1.7 to 7.6 Mg CO2-eq ha(-1). On average 38% of the emissions are from N2O (direct and indirect soil emissions, fertilizer production, and manure), 41% are from CH4 (ruminants and manure), and 21% are from CO2 (fertilizer production, gasoline, heating, and additional feed). Analysis of the farming systems shows considerably lower GHG emission from crop-producing farms (2.3-3.6 Mg CO2-eq ha(-1)) than from livestock-based systems (3.5-7.1 Mg CO2-eq ha(-1)). For the entire region, GHG emission abatement is 8-12% and income loss ranges from 2 to 10%, depending on the policy instrument. Measures taken to reduce emissions are to decrease mineral N fertilizers and produce crops at lower intensities, to reduce additional feed, and finally to reduce livestock (and concomitantly diminish manure application rates). The extent of abatement and the choice of mitigating measures depend strongly both on the policy instrument and on the farming system. Marginal abatement costs (compliance costs plus taxes) are always lowest for the emission cap and highest for the emission tax, with livestock extensification and the nitrogen tax lying in between. Therefore, the emission cap offers the best cost-benefit relation for the farmers but high additional administrative costs, which are not accounted for by the model, must be assumed. The emission tax minimizes compliance costs and should be considered the most efficient instrument at the macroeconomic scale, but again high administration costs must be added. Nitrogen tax and livestock extensification are economically less efficient, but provide greater additional environmental services (e.g. nitrate loading of aquifers, landscape preservation) and produce lower administrative costs, as information on N fertilizers and livestock is readily available from agricultural statistics. (C) 2007 Elsevier B.V. All tights reserved.
引用
收藏
页码:305 / 316
页数:12
相关论文
共 50 条
  • [31] Global scale DAYCENT model analysis of greenhouse gas emissions and mitigation strategies for cropped soils
    Del Grosso, Stephen J.
    Ojima, Dennis S.
    Parton, William J.
    Stehfest, Elke
    Heistermann, Maik
    DeAngelo, Benjamin
    Rose, Steven
    [J]. GLOBAL AND PLANETARY CHANGE, 2009, 67 (1-2) : 44 - 50
  • [32] Mitigation of greenhouse gas emissions from livestock production
    Weiske, A
    Petersen, SO
    [J]. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2006, 112 (2-3) : 105 - 106
  • [33] Mitigation of greenhouse gas emissions from animal production
    Liu, Zifei
    Liu, Yang
    [J]. GREENHOUSE GASES-SCIENCE AND TECHNOLOGY, 2018, 8 (04): : 627 - 638
  • [34] Greenhouse gas emissions mitigation and economic viability of sugar crops in China
    Linsheng YANG
    Xiaozhong WANG
    Wushuai ZHANG
    Prakash LAKSHMANAN
    Yan DENG
    Xiaojun SHI
    Xinping CHEN
    Fusuo ZHANG
    [J]. Frontiers of Agricultural Science and Engineering, 2024, 11 (03) - 408
  • [35] The FAOSTAT database of greenhouse gas emissions from agriculture
    Tubiello, Francesco N.
    Salvatore, Mirella
    Rossi, Simone
    Ferrara, Alessandro
    Fitton, Nuala
    Smith, Pete
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2013, 8 (01):
  • [36] Simulating greenhouse gas mitigation potentials for Chinese Croplands using the DAYCENT ecosystem model
    Cheng, Kun
    Ogle, Stephen M.
    Parton, William J.
    Pan, Genxing
    [J]. GLOBAL CHANGE BIOLOGY, 2014, 20 (03) : 948 - 962
  • [37] MITERRA-DSS: a decision support system to optimize the mitigation of greenhouse gas emissions from agriculture
    Velthof, GL
    Oenema, O
    Kuikman, PJ
    [J]. NON-C02 GREENHOUSE GASES: SCIENTIFIC UNDERSTANDING, CONTROL OPTIONS AND POLICY ASPECTS, 2002, : 505 - 506
  • [38] Global greenhouse gas emissions from residential and commercial building materials and mitigation strategies to 2060
    Xiaoyang Zhong
    Mingming Hu
    Sebastiaan Deetman
    Bernhard Steubing
    Hai Xiang Lin
    Glenn Aguilar Hernandez
    Carina Harpprecht
    Chunbo Zhang
    Arnold Tukker
    Paul Behrens
    [J]. Nature Communications, 12
  • [39] Global greenhouse gas emissions from residential and commercial building materials and mitigation strategies to 2060
    Zhong, Xiaoyang
    Hu, Mingming
    Deetman, Sebastiaan
    Steubing, Bernhard
    Lin, Hai Xiang
    Hernandez, Glenn Aguilar
    Harpprecht, Carina
    Zhang, Chunbo
    Tukker, Arnold
    Behrens, Paul
    [J]. NATURE COMMUNICATIONS, 2021, 12 (01)
  • [40] Assessing regional convergence of greenhouse gas emissions in Spain: insights from economic activities
    Lucindo, Jesus
    Feijoo, Marisa
    Gonzalez-Alvarez, Maria A.
    [J]. JOURNAL OF ENVIRONMENTAL ECONOMICS AND POLICY, 2023,