1887

Abstract

Summary

The comparative characteristics of valuation methods of ecosystem services have been made. Research methods are based on the system and landscape approaches to the study of ecosystems. Within the conducted research, the software products like ArcGis and Mapinfo Professional, as well as electronic vector layers of the topographic map of Ukraine with a scale of 1:200000 have been used to calculate sizes and areas of ecosystems in Ukraine. The ratio of ecosystems areas providing ecosystem services in Ukraine has been obtained.

Mountain Carpathian landscapes have a very high and high (relative to ecosystem services in other landscapes) economic value of ecosystem services in landscapes; floodplain landscapes of mountains and floodplain landscapes; part of forest-steppe landscapes; part of the mountainous Crimean landscapes. Their area is about 27% of the territory of Ukraine. The average economic value of ecosystem services in landscapes has conifer-broad-leaved landscapes; part of forest-steppe landscapes; part of the mountainous Crimean landscapes. Their area is about 36% of the territory of Ukraine.

Low and very low economic value of ecosystem services in landscapes is found in steppe landscapes. Their area is about 37% of the territory of Ukraine.

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2023-11-07
2025-03-15
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References

  1. Arkhypova, L., Vinnychenko, I., Kinash, I., Horoshkova, L., Khlobystov, Ie. (2022). Theoretical Substantiation of Modeling of Recreational Systems.Ecological Engineering & Environmental Technology, 23(5), 99–108. https://doi.org/10.12912/27197050/151758
    [Google Scholar]
  2. Jiayi Wang, Dan Su, Qing Wu, Guoyu Li, Yu Cao (2023). Study on eco-efficiency of cultivated land utilization based on the improvement of ecosystem services and emergy analysis.Science of The Total Environment, Vol. 882. https://doi.org/10.1016/j.scitotenv.2023.163489.
    [Google Scholar]
  3. Klymchuk, I., Matiyiv, K., Arkhypova, L., Korchemlyuk, M. (2022). Mountain Tourist Destination –The Quality of Groundwater Sources.Ecological Engineering & Environmental Technology, 23(3), 208–214. https://doi.org/10.12912/27197050/147764
    [Google Scholar]
  4. Kravchynskyi, R., Khilchevskyi, V., Korchemluk, M., Arkhypova, L., Plichko, L. (2021). Criteria for identification of landslides in the upper Prut river basin on satellite images.Geoinformatics 2021. European Association of Geoscientists Camp; Engineers, 2021. 1–6. DOI: 10.3997/2214‑4609.20215521003
    https://doi.org/10.3997/2214-4609.20215521003 [Google Scholar]
  5. Kravchynskyi, R., Korchemlyuk, M., Khilchevskyi, V., Arkhypova, L., Mykhailyuk, І., Mykhailyuk, J. (2021). Spatial-factorial analysis of background status of the Danube River basin state on the northeastern slops of the Ukrainian Carpathians.Journal of Physics: Conference Series, 1781(1), 11–12. https://iopscience.iop.org/article/10.1088/1742-6596/1781/1/012011
    [Google Scholar]
  6. PerschkeM. J., HarrisL. R., SinkK. J., LombardA. T. (2023). Using ecological infrastructure to comprehensively map ecosystem service demand, flow and capacity for spatial assessment and planning.Ecosystem Services, Vol. 62. https://doi.org/10.1016/j.ecoser.2023.101536
    [Google Scholar]
  7. PrykhodkoM.M., RomaniukV.V., KukhtarD.V., BodnarukI. L., AdamovychM. V. (2020). Use of geoinformation technology to study the structure and morphometric parameters of river basins.Geoinformatics 2020, 11–14 May 2020, Kiev, Ukraine, 5 p. https://doi.org/10.3997/2214-4609.2020geo014
    [Google Scholar]
  8. PrykhodkoM.M., RomaniukV.V., KukhtarD.V., RodzinskaO.V. (2018) A modern approach to monitoring the territories of solid waste landfills.Geoinformatics 2018, 14–17 May 2018, Kiev, Ukraine, 5 p. https://doi.org/10.3997/2214-4609.201801829
    [Google Scholar]
  9. ShanafeltD. W., Serra-DiazJ. M., BocquéhoG(2023). Measuring uncertainty in ecosystem service correlations as a function of sample size, Ecosystem Services, Vol. 63, 101546. https://doi.org/10.1016/j.ecoser.2023.101546.
    [Google Scholar]
  10. SouléE., CharbonnierR., SchlosserL., MichonneauP., MichelN., BockstallerC. (2023). A new method to assess sustainability of agricultural systems by integrating ecosystem services and environmental impacts.Journal of Cleaner Production, 415. https://doi.org/10.1016/j.jclepro.2023.137784.
    [Google Scholar]
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