IDEAS home Printed from https://ideas.repec.org/a/spr/masfgc/v24y2019i6d10.1007_s11027-017-9779-3.html
   My bibliography  Save this article

High-resolution spatial distribution and associated uncertainties of greenhouse gas emissions from the agricultural sector

Author

Listed:
  • Nadiia Charkovska

    (Lviv Polytechnic National University)

  • Joanna Horabik-Pyzel

    (Systems Research Institute of the Polish Academy of Sciences)

  • Rostyslav Bun

    (Lviv Polytechnic National University
    University of Dąbrowa Górnicza)

  • Olha Danylo

    (International Institute for Applied Systems Analysis)

  • Zbigniew Nahorski

    (Systems Research Institute of the Polish Academy of Sciences
    Warsaw School of Information Technology)

  • Matthias Jonas

    (International Institute for Applied Systems Analysis)

  • Xu Xiangyang

    (China University of Mining and Technology)

Abstract

Agricultural activity plays a significant role in the atmospheric carbon balance as a source and sink of greenhouse gases (GHGs) and has high mitigation potential. The agricultural emissions display evident geographical differences in the regional, national, and even local levels, not only due to spatially differentiated activity, but also due to very geographically different emission coefficients. Thus, spatially resolved inventories are important for obtaining better estimates of emission content and design of GHG mitigation processes to adapt to global carbon rise in the atmosphere. This study develops a geoinformation approach to a high-resolution spatial inventory of GHG emissions from the agricultural sector, following the categories of the United Nations Intergovernmental Panel on Climate Change guidelines. Using the Corine Land Cover data, a digital map of emission sources is built, with elementary areal objects that are split up by administrative boundaries. Various procedures are developed for disaggregation of available emission activity data down to a level of elementary emission objects, conditional on covariate information, such as land use, observable in the elementary object scale. Among them, a statistical scaling method suitable for spatially correlated areal emission sources is applied. As an example of implementation of this approach, the spatial distribution of methane (CH4) and Nitrogen Oxide (N2O) emissions was obtained for areal emission sources in the agriculture sector in Poland with a spatial resolution of 100 m. We calculated the specific total emissions for different types of animal and manure systems as well as the total emissions in CO2-equivalent. We demonstrated that the emission sources are located highly nonuniformly and the emissions from them vary substantially, so that average data may provide insufficient approximation. In our case, over 11% smaller emission was estimated using spatial approach as compared with the national inventory report where average data were used. In addition, we quantified uncertainties associated with the developed spatial inventory and analysed the dominant components in total emission uncertainties in the agriculture sector. We used the activity data from the lowest possible (municipal) level. The depth of disaggregation of these data to the level of arable lands is minimal, and hence, the relative uncertainty of spatial inventory is smaller when comparing with traditional gridded emissions. The proposed technique allows us to discuss factors driving the geographical distribution of GHG emissions for different categories of the agricultural sector. This may be particularly useful in high-resolution modelling of GHG dispersion in the atmosphere.

Suggested Citation

  • Nadiia Charkovska & Joanna Horabik-Pyzel & Rostyslav Bun & Olha Danylo & Zbigniew Nahorski & Matthias Jonas & Xu Xiangyang, 2019. "High-resolution spatial distribution and associated uncertainties of greenhouse gas emissions from the agricultural sector," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 881-905, August.
    • Handle: RePEc:spr:masfgc:v:24:y:2019:i:6:d:10.1007_s11027-017-9779-3
    DOI: 10.1007/s11027-017-9779-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11027-017-9779-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11027-017-9779-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dario Caro & Steven Davis & Simone Bastianoni & Ken Caldeira, 2014. "Global and regional trends in greenhouse gas emissions from livestock," Climatic Change, Springer, vol. 126(1), pages 203-216, September.
    2. Government of Fiji, 2017. "Climate Vulnerability Assessment," World Bank Publications - Reports 28870, The World Bank Group.
    3. Khrystyna Boychuk & Rostyslav Bun, 2014. "Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty," Climatic Change, Springer, vol. 124(3), pages 561-574, June.
    4. Joanna Horabik & Zbigniew Nahorski, 2014. "Improving resolution of a spatial air pollution inventory with a statistical inference approach," Climatic Change, Springer, vol. 124(3), pages 575-589, June.
    5. Corey Lesk & Pedram Rowhani & Navin Ramankutty, 2016. "Influence of extreme weather disasters on global crop production," Nature, Nature, vol. 529(7584), pages 84-87, January.
    6. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arkadiusz Piwowar, 2020. "Agricultural Biogas—An Important Element in the Circular and Low-Carbon Development in Poland," Energies, MDPI, vol. 13(7), pages 1-12, April.
    2. Chuanhe Xiong & Shuang Chen & Liting Xu, 2020. "Driving factors analysis of agricultural carbon emissions based on extended STIRPAT model of Jiangsu Province, China," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1401-1416, September.
    3. Changcun Wen & Jiaru Zheng & Bao Hu & Qingning Lin, 2022. "Study on the Spatiotemporal Evolution and Influencing Factors of Agricultural Carbon Emissions in the Counties of Zhejiang Province," IJERPH, MDPI, vol. 20(1), pages 1-28, December.
    4. Doğan, Buhari & Shahbaz, Muhammad & Bashir, Muhammad Farhan & Abbas, Shujaat & Ghosh, Sudeshna, 2023. "Formulating energy security strategies for a sustainable environment: Evidence from the newly industrialized economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nadiia Charkovska & Mariia Halushchak & Rostyslav Bun & Zbigniew Nahorski & Tomohiro Oda & Matthias Jonas & Petro Topylko, 2019. "A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 907-939, August.
    2. Rostyslav Bun & Zbigniew Nahorski & Joanna Horabik-Pyzel & Olha Danylo & Linda See & Nadiia Charkovska & Petro Topylko & Mariia Halushchak & Myroslava Lesiv & Mariia Valakh & Vitaliy Kinakh, 2019. "Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 853-880, August.
    3. Tomohiro Oda & Rostyslav Bun & Vitaliy Kinakh & Petro Topylko & Mariia Halushchak & Gregg Marland & Thomas Lauvaux & Matthias Jonas & Shamil Maksyutov & Zbigniew Nahorski & Myroslava Lesiv & Olha Dany, 2019. "Errors and uncertainties in a gridded carbon dioxide emissions inventory," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1007-1050, August.
    4. Jörg Verstraete, 2019. "Solving the general map overlay problem using a fuzzy inference system designed for spatial disaggregation," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1101-1122, August.
    5. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    6. Man, Yi & Yan, Yukun & Wang, Xu & Ren, Jingzheng & Xiong, Qingang & He, Zhenglei, 2023. "Overestimated carbon emission of the pulp and paper industry in China," Energy, Elsevier, vol. 273(C).
    7. El-Saied E. Metwaly & Hatim M. Al-Yasi & Esmat F. Ali & Hamada A. Farouk & Saad Farouk, 2022. "Deteriorating Harmful Effects of Drought in Cucumber by Spraying Glycinebetaine," Agriculture, MDPI, vol. 12(12), pages 1-16, December.
    8. Chen, Yuhong & Lyu, Yanfeng & Yang, Xiangdong & Zhang, Xiaohong & Pan, Hengyu & Wu, Jun & Lei, Yongjia & Zhang, Yanzong & Wang, Guiyin & Xu, Min & Luo, Hongbin, 2022. "Performance comparison of urea production using one set of integrated indicators considering energy use, economic cost and emissions’ impacts: A case from China," Energy, Elsevier, vol. 254(PC).
    9. repec:ags:aaea22:335489 is not listed on IDEAS
    10. Yi Ge & Guangfei Yang & Yi Chen & Wen Dou, 2019. "Examining Social Vulnerability and Inequality: A Joint Analysis through a Connectivity Lens in the Urban Agglomerations of China," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    11. Teerachai Amnuaylojaroen & Pavinee Chanvichit, 2024. "Historical Analysis of the Effects of Drought on Rice and Maize Yields in Southeast Asia," Resources, MDPI, vol. 13(3), pages 1-18, March.
    12. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    13. Liu, Zhipeng & Jiao, Xiyun & Zhu, Chengli & Katul, Gabriel G. & Ma, Junyong & Guo, Weihua, 2021. "Micro-climatic and crop responses to micro-sprinkler irrigation," Agricultural Water Management, Elsevier, vol. 243(C).
    14. Teresa Armada Brás & Jonas Jägermeyr & Júlia Seixas, 2019. "Exposure of the EU-28 food imports to extreme weather disasters in exporting countries," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1373-1393, December.
    15. Jörg Verstraete, 2014. "Solving the map overlay problem with a fuzzy approach," Climatic Change, Springer, vol. 124(3), pages 591-604, June.
    16. Yusifzada, Tural, 2022. "Response of Inflation to the Climate Stress: Evidence from Azerbaijan," MPRA Paper 116522, University Library of Munich, Germany, revised 20 Sep 2022.
    17. Dániel Fróna & János Szenderák & Mónika Harangi-Rákos, 2019. "The Challenge of Feeding the World," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    18. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    19. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.
    20. Balázs Varga & Zsuzsanna Farkas & Emese Varga-László & Gyula Vida & Ottó Veisz, 2022. "Elevated Atmospheric CO 2 Concentration Influences the Rooting Habits of Winter-Wheat ( Triticum aestivum L.) Varieties," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    21. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:masfgc:v:24:y:2019:i:6:d:10.1007_s11027-017-9779-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.