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A spatial assessment of the forest carbon budget for Ukraine

Author

Listed:
  • Myroslava Lesiv

    (International Institute for Applied Systems Analysis)

  • Anatoly Shvidenko

    (International Institute for Applied Systems Analysis)

  • Dmitry Schepaschenko

    (International Institute for Applied Systems Analysis
    Bauman Moscow State Technical University)

  • Linda See

    (International Institute for Applied Systems Analysis)

  • Steffen Fritz

    (International Institute for Applied Systems Analysis)

Abstract

The spatial representation of forest cover and forest parameters is a prerequisite for undertaking a systems approach to the full and verified carbon accounting of forest ecosystems over large areas. This study focuses on Ukraine, which contains a diversity of bioclimatic conditions and natural landscapes found across Europe. Ukraine has a high potential to sequester carbon dioxide through afforestation and proper forest management. This paper presents a new 2010 forest map for Ukraine at a 60 m resolution with an accuracy of 91.6 ± 0.8% (CI 0.95), which is then applied to the calculation of the carbon budget. The forest cover map and spatially distributed forest parameters were developed through the integration of remote sensing data, forest statistics, and data collected using the Geo-Wiki application, which involves visual interpretation of very high-resolution satellite imagery. The use of this map in combination with the mapping of other forest parameters had led to a decrease in the uncertainty of the forest carbon budget for Ukraine. The application of both stock-based and flux-based methods shows that Ukrainian forests have served as a net carbon sink, absorbing 11.4 ± 1.7 Tg C year−1 in 2010, which is around 25% less than the official values reported to the United Nations Framework Convention on Climate Change.

Suggested Citation

  • Myroslava Lesiv & Anatoly Shvidenko & Dmitry Schepaschenko & Linda See & Steffen Fritz, 2019. "A spatial assessment of the forest carbon budget for Ukraine," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 985-1006, August.
    • Handle: RePEc:spr:masfgc:v:24:y:2019:i:6:d:10.1007_s11027-018-9795-y
    DOI: 10.1007/s11027-018-9795-y
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    References listed on IDEAS

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    1. Shvidenko, Anatoly & Schepaschenko, Dmitry & Nilsson, Sten & Bouloui, Yuri, 2007. "Semi-empirical models for assessing biological productivity of Northern Eurasian forests," Ecological Modelling, Elsevier, vol. 204(1), pages 163-179.
    2. Anatoly Shvidenko & Igor Buksha & Svitlana Krakovska & Petro Lakyda, 2017. "Vulnerability of Ukrainian Forests to Climate Change," Sustainability, MDPI, vol. 9(7), pages 1-35, June.
    3. Chen Jun & Yifang Ban & Songnian Li, 2014. "Open access to Earth land-cover map," Nature, Nature, vol. 514(7523), pages 434-434, October.
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    Cited by:

    1. Yuxin Tang & Ran Wang & Hui Ci & Jinyuan Wei & Hui Yang & Jiakun Teng & Zhaojin Yan, 2024. "Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration," Land, MDPI, vol. 13(6), pages 1-23, May.
    2. Teng, Xiangyu & Liu, Fan-peng & Chiu, Yung-ho, 2021. "The change in energy and carbon emissions efficiency after afforestation in China by applying a modified dynamic SBM model," Energy, Elsevier, vol. 216(C).
    3. Manuela Hirschmugl & Carina Sobe & Cosette Khawaja & Rainer Janssen & Lorenzo Traverso, 2021. "Pan-European Mapping of Underutilized Land for Bioenergy Production," Land, MDPI, vol. 10(2), pages 1-20, January.

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