War and the Artificial Pine Plantations of the Oleshky Sands: On the Threshold of a New Reality
Yurii Moskalenko,https://orcid.org/0000-0002-9121-7832
Maria Nitochko,https://orcid.org/0000-0002-4666-5687
Sergii Pliushch,https://orcid.org/0000-0003-4206-8073
Black Sea Biosphere Reserve, NAS of Ukraine (Hola Prystan, Ukraine)
Cite as
Moskalenko, Y., Nitochko, M., & Pliushch, S. (2026). War and the Artificial Pine Plantations of the Oleshky Sands: On the Threshold of a New Reality. GEO&BIO, 28, 83-97.
doi: https://doi.org/10.53452/gb2808
pdf: G&B №28-2026_83-97_Moskalenko.pdf
Abstract
The aim of this study was to assess the scale of pyrogenic losses of artificial pine plantations in the Oleshky Sands during the three years following the onset of the region’s occupation as a result of the armed aggression of the Russian Federation against Ukraine, as well as to evaluate their potential ecological consequences. Using Sentinel-2 remote sensing data and machine-learning methods based on an artificial neural network, we modelled the distribution of pine plantations as of 23 February 2022 and 12 February 2025. A comparison of these results revealed that, over the study period, the pine plantations of the Oleshky Sands experienced unprecedented decline and fragmentation due to fires, losing around 30,000 ha, or 64.3% of their pre-invasion extent. In absolute terms, the greatest losses occurred on the Oleshkivska and Kozacholaherska arenas, where 8.818 thousand ha and 5.896 thousand ha of pine stands burned, respectively. In relative terms, the most severely affected were the artificial forests of the Kinburn Peninsula, where 4.808 thousand ha of pine plantations — amounting to 86.1% of their area as of early 2022 — were destroyed by fire within three years of the full-scale invasion. The cumulative pyrogenic losses incurred over previous decades in peacetime, together with those of the occupation period, have resulted in the semi-natural pine-forest ecosystem that developed during the second half of the twentieth century losing its dominant role in the landscapes of the Oleshky Sands. It is assumed that such extensive forest loss will trigger profound restructuring of the region’s ecosystems, including successional dynamics, the spatial organisation of plant and animal communities, hydrological regimes, and soil chemical properties. The article outlines several potential directions of these transformations. The findings allow the formulation of hypotheses regarding future changes in the Oleshky Sands, including those that can be verified through remote-sensing monitoring. The latter primarily concern the rate of deadwood decay on burned sites, spontaneous vegetation recovery, and the development and spread of deflation processes. Establishing a systematic monitoring framework to test these hypotheses, followed by broader post-deoccupation research into the environmental consequences of the war, will form the basis for developing an adaptive management strategy for the Oleshky Sands aligned with conservation objectives.
Key words
Oleshky Sands, artificial pine plantations, war-related environmental impact, deflation, post-fire succession, remote sensing
Correspondence to: Yurii Moskalenko; Black Sea Biosphere Reserve, NAS of Ukraine, 1 Lebedyna Street, Hola Prystan 75600, Ukraine; e-mail: strix@strix.ks.ua
Article info
Submitted: 19.11.2025. Revised: 04.12.2026. Accepted: 27.02.2026
References
Beck, M. W. (2018). NeuralNetTools: Visualization and Analysis Tools for Neural Networks Journal of Statistical Software, 85(11), 1–20. https://doi.org/10.18637/jss.v085.i11
ESA. (2015). Sentinel-2 User Handbook, ESA Standard Document. European Space Agency, Paris, France, 1–64.
Fomin, V. I., Shevchuk, V. V., Tymoshchuk, I. V., & Shaigas, I. M. (2017). 90 years of sand afforestation. Forestry and Forest Melioration, 130, 3–12. [Ukrainian]
Gordienko, I. I. (1969). Oleshskie Sands and biocoenotical relations in the process of their overgrowing. Naukova Dumka, Kyiv. [Russian]
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Big Remotely Sensed Data: tools, applications and experiences, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
Haibo, H., & Garcia, E. A. (2009). Learning from Imbalanced Data. IEEE Transactions on Knowledge and Data Engineering, 21(9), 1263–1284. https://doi.org/10.1109/TKDE.2008.239
Hijmans, R. J. (2025). terra: Spatial Data Analysis. https://doi.org/10.32614/CRAN.package.terra
Kolomiyets, H. V., & Burda, R. I. (2007). Post-pyrogenic demutation of riverine sand ecosystems in Mykolaiv Region. Scientific Bulletin of the National Agrarian University, 117, 34–41. [Ukrainian]
Kotenko, T. I. (1997). Sand steppes of the North-Western Black Sea Region: their role in biodiversity conservation, current state, and protection. In: Steppes of Eurasia: Conservation of Natural Diversity and Monitoring of Ecosystem Condition. Orenburg, 108–109. [Russian]
Kotenko, T. I., & Kotenko, A. G. (2002). Arenaceous forest plantations of the steppe zone of Ukraine: the state of ecosystems and ways of conserving biodiversity. Forestry and Forest Melioration, 103, 111–114. [Russian]
Kotenko, T. I., Umanets, O. Yu., & Seliunyna, Z. V. (1999). The natural complex of the Kozache-Laheri arena of the Lower Dnipro Sands and the issues of its development. Part 1. General characteristics of the Kozache-Laheri arena. Nature Reserves in Ukraine, 5(1), 61–72. [Russian]
Kryvulchenko, A. I. (2016). Kіnburnsk peninsula: landscapes, a modern state and value. Centralukrainian Publishing House, Kropyvnytskyi, 1–416. ISBN 978-966-130-107-7 [Ukrainian]
Kuhn, M. (2008). Building Predictive Models in R Using the caret Package // Journal of Statistical Software, 28, 1–26. https://doi.org/10.18637/jss.v028.i05
Kuzyk, A. D. (2008). Ecological-forestry causes and effects of a fire in Kherson woodland in 2007. Scientific bulletin of UNFU, 18(12), 85–89. [Ukrainian]
Lemenkova, P., & Debeir, O. (2023). Computing Vegetation Indices from the Satellite Images Using GRASS GIS Scripts for Monitoring Mangrove Forests in the Coastal Landscapes of Niger Delta, Nigeria. Journal of Marine Science and Engineering, 11(4), 871. https://doi.org/10.3390/jmse11040871
Lones, M. A. (2024). Avoiding common machine learning pitfalls. Patterns, 5(10), 101046. https://doi.org/10.1016/j.patter.2024.101046
Lubskyi, M., Orlenko, T., Piestova, I., Andreiev, A., & Lysenko, A. (2023). Evaluation of indicators for desertification risk assessment of Oleshky sands desertification based on Landsat data time series. Ukrainian journal of remote sensing, 10(1), 17–28. https://doi.org/10.36023/ujrs.2023.10.1.229 [Ukrainian]
Military-Statistical Review of the Russian Empire. Volume 11, Part 2. Taurida Governorate. (1849). Department of the General Staff, St Petersburg, 1–285. [Russian]
Moskalenko, Yu. O. (2015). Avifauna and bird communities of the Lower Dnipro Sands. Philosophy Doctor Thesis. I. I. Schmalhauzen Institute of zoology of NAS of Ukraine, Kyiv, 1–277. https://doi.org/10.5281/zenodo.17727787 [Ukrainian]
Moskalenko, Yu. O. (2021). Patterns of long-term NDVI dynamics on burn sites in pine plantations of the Oleshky Sands. In: Conservation of Biodiversity of the Steppe Zone of Ukraine under Conditions of Climate Change and Land Use (to the 60th Anniversary of the Ukrainian Steppe Nature Reserve of the NAS of Ukraine). Proceedings of the Scientific and Practical Conference “Conservation of Biodiversity of the Steppe Zone of Ukraine under Conditions of Climate Change and Land Use” (Bilmak, Zaporizhzhia Region, Ukraine, 2–3 December 2021). Dnipro, 58–64. [Ukrainian]
Motohka, T., Nasahara, K. N., Oguma, H., & Tsuchida, S. (2010). Applicability of Green-Red Vegetation Index for Remote Sensing of Vegetation Phenology. Remote Sensing, 2(10), 2369–2387. https://doi.org/10.3390/rs2102369
Mykhailov, V. A., & Nazarenko, S. V. (2007). On formation of entomocoenoses in isolated artificial pine plantations in Lower Dnieper sands zone. In: Biodiversity and the Role of Animals in Ecosystems: Proceedings of the IV International Scientific Conference (Dnepropetrovsk, 9–12 October 2007). Publishing House of DNU, Dnepropetrovsk, 274–275. [Russian]
Nazarenko, S. V., Holovashchenko, M. F., & Kotovska, Yu. F. (2020). On the factors influencing the persistence of pine forest plantations on burnt areas under the conditions of the Oleshky Sands. Irrigated Agriculture. Collection of Scientific Papers, 73, 85–92. https://doi.org/10.32848/0135-2369.2020.73.16 [Ukrainian]
Pebesma, E. (2018). Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal, 10(1), 439–446. https://doi.org/10.32614/RJ-2018-009
Popkov, M. Yu. (1997). Pine forests on the sandy arenas of the Lower Dnipro region. Public Organisation “Open Forest”. https://www.openforest.org.ua/125873/ [Russian]
R Core Team. (2021). R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. URL: https://www.R-project.org/
Reimers, N. F. (1994). Ecology (theories, laws, rules, principles and hypotheses). Moscow, 1–367. ISBN 5-7120-0669-3 [Russian]
Roberts, D. R., Bahn, V., Ciuti, S., Boyce, M. S., Elith, J. [et al.]. (2017). Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography, 40(8): 913–929. https://doi.org/10.1111/ecog.02881
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F. [et al.]. (2011). pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics, 12(1), 1–8. https://doi.org/10.1186/1471-2105-12-77
Secu, C. V., Stoleriu, C. C., Lesenciuc, C. D., & Ursu, A. (2022). Normalized Sand Index for Identification of Bare Sand Areas in Temperate Climates Using Landsat Images, Application to the South of Romania. Remote Sensing, 14(15), 3802. https://doi.org/10.3390/rs14153802
Selyunina, Z. V., & Umanets, O. Yu. (1987). Influence of anthropogenic changes in the vegetation of the Lower Dnipro sands on the increase in wild boar numbers in the Black Sea Biosphere Reserve. In: Influence of Anthropogenic Landscape Transformation on Terrestrial Vertebrate Populations. Part 1. Moscow, 183. [Russian]
Selyunina, Z. V., & Moskalenko, Yu. A. (2004). Protected areas as islands of natural biodiversity (a case study of the wood-steppe sections of the Black Sea Biosphere Reserve). Scientific Notes of the V. I. Vernadsky Taurida National University. Series “Biology, Chemistry”, 17(2), 23–26. [Russian]
Shevchuk, V. V., & Tymoshchuk, I. V. (2015). Causes of Forest Fires in the Lower Dnieper Region. Ukrainian Journal of Forest and Wood Science, 229, 46–55. [Ukrainian]
Shevchuk, V. V., & Tymoshchuk, I. V. (2017). The causes of forest fires in pine stands of Kherson region and their consequences. Forestry and Forest Melioration, 130, 199–207. [Ukrainian]
Shevchuk, V. V., Fomin, V. I., & Nazarenko, S. V. (2005). Ecological condition of artificial pine plautations on the low Dnieper sand. Scientific bulletin of UNFU, 15(1), 96–102. [Ukrainian]
Shevchuk, V. V., Siryk, N. M., & Siryk, A. A. (2012). The Origin of the Lower Dnieper Sands and Afforestation on Them. Tavriya Scientific Bulletin, 81, 357–364. [Ukrainian]
Shevchuk, V. V., Terlych, V. H., & Borysova, V. V. (2009). Cultivation of pine seedlings with a closed root system in the Lower Dnipro region. In: Faltz-Fein Readings. International Scientific Conference (Kherson, 21–23 May 2009). Kherson, 421–424. [Ukrainian]
Shi, T., & Xu, H. (2019). Derivation of Tasseled Cap Transformation Coefficients for Sentinel-2 MSI At-Sensor Reflectance Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(10), 4038–4048. https://doi.org/10.1109/JSTARS.2019.2938388
Siryk, A. A. (2000). Stability of artificial pine forests on the arenas of the Ukrainian steppe zone. In: Scientific Papers of the National University “Kyiv-Mohyla Academy”, Mykolaiv Branch, vol. 6: Ecology. Technical Sciences. Mykolaiv, 22–24. [Ukrainian]
Sokolova, M., & Lapalme, G. (2009). A systematic analysis of performance measures for classification tasks. Information Processing & Management, 45(4), 427–437. https://doi.org/10.1016/j.ipm.2009.03.002
Tymoshchuk, I. V. (2019). The problem of decreasing forest area on the Lower Dnipro Sands due to the occurrence of natural and anthropogenic fires. In: Vinogradov Scientific Readings: Proceedings of the First Open Regional Scientific and Practical Online Conference dedicated to the 5th anniversary of the Department of Forestry and Landscape Gardening, Kherson State Agrarian University, Kherson, 51–56. [Ukrainian]
Umanets, O. Yu. (1999). The natural complex of the Kozache-Laheri arena of the Lower Dnieper Sands and the problems of its conservation. Part 2. Changes in the flora and vegetation of the Kozache-Laheri arena over 65 years. Nature Reserves in Ukraine, 5(2), 9–15. [Russian]
Umanets, O. Yu., & Pliushch, V. V. (2017). Current state of spontaneous populations of the genus Pinus L. on the wood-steppe sections of the Black Sea Biosphere Reserve. In: Nature Conservation in the Steppe Zone of Ukraine. Series: “Conservation Biology in Ukraine”, issue 2, vol. 2. Kyiv, 176–180. [Ukrainian]
Umanets, O. Yu., Selyunina, Z. V., & Moskalenko, Yu. A. (2002). Impact of the Afforestation of the Lower Dnieper Sands on Natural Biodiversity. Forestry and Forest Melioration, 103, 104–106. [Russian]
Valavi, R., Elith, J., Lahoz-Monfort, J. J., & Guillera-Arroita, G. (2019). blockCV: An r package for generating spatially or environmentally separated folds for k-fold cross-validation of species distribution models. Methods in Ecology and Evolution, 10(2), 225–232. https://doi.org/10.1111/2041-210X.13107
Vasyliuk, O. V., Kolodezhna, V. V., Buzevych, I. Yu., Demchenko, V. O., Kuzemko, A. A. [et al.]. (2025). The Great Meadow or the Kakhovka Reservoir: a contemporary perspective. Chernivtsi, Druk Art. ISBN 978-617-8501-03-7 [Ukrainian]
Venables, W. N., & Ripley, B. D. (2002). Modern Applied Statistics with S. Springer, New York. ISBN 0-387-95457-0
Wang, X., Blanchet, F. G., & Koper, N. (2014). Measuring habitat fragmentation: An evaluation of landscape pattern metrics. Methods in Ecology and Evolution, 5(7), 634–646. https://doi.org/10.1111/2041-210X.12198
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer International Publishing, Cham. ISBN 978-3-319-24277-4
Wickham, H., François, R., Henry, L., Müller, K., & Vaughan, D. (2023). dplyr: A Grammar of Data Manipulation. https://doi.org/10.32614/CRAN.package.dplyr
Zagorodniuk, I. V. (2023). Priorities in nature conservation in times of war: the situation with the Great Meadow and the Great Steppe. Visnyk Natsionalnoi akademii nauk Ukrainy, 9, 12–23. [Ukrainian] https://doi.org/10.15407/visn2023.09.012
Zibtsev, S. V., Savushchyk, M. P., Maurer, V. M., Balabukh, V. O., Myroniuk, V. V. [et al.]. (2022). Restoration of forests in Luhansk Region on burnt areas under climate change conditions. Kyiv, 1–152. ISBN 978-617-8102-37-1 [Ukrainian]
|