AUC GEOGRAPHICA

This study develops a method for assessing above-ground biomass (AGB) in forest habitats of the “Svyati Hory” National Nature Park and quantifies its degradation caused by armed conflict-related wildfires in 2022–2024. A multisensor approach integrating Sentinel-1 and Sentinel-2 data, the Copernicus GLO-30 DEM and GEDI LiDAR measurements was applied via a Random Forest regression model calibrated with forest inventory records. Comparative analysis confirmed the superiority of the 10 m spatial scale (R2 = 0.575) over 20 m and 30 m resolutions for fragmented mosaic landscapes. The model demonstrated strong predictive performance (RMSE 15.3–17.7 Mg/ha), enabling rapid biomass updates when field surveys are hindered by limited accessibility to the area. Results indicate that the park’s total baseline AGB was 14.22 million tonnes across 37.1 thousand hectares. Burn scar mapping and spatial overlay analysis revealed a total loss of 4.66 million tonnes of biomass over 11.96 thousand hectares. The highest losses occurred in Sarmatic steppe pine forests, which lost 68.2% of their biomass. The relict chalk pine forests (Pinus sylvestris var. cretacea) were likewise severely affected, losing 36.6% of their area, thereby threatening the natural regeneration of this endemic population.

1. Al-Saady, Y., Merkel, B., Al-Tawash, B., Al-Suhail, Q. (2015): Land use and land cover (LULC) mapping and change detection in the Little Zab River Basin (LZRB), Kurdistan Region, NE Iraq and NW Iran. FOG - Freiberg Online Geoscience 43, 1-32.

2. Bowman, D. M., Balch, J. K., Artaxo, P., Bond, W. J. (2009): Fire in the Earth system. Science 324(5926), 481-484. CrossRef PubMed

3. Didukh, Y. P., Pashkevych, N. A. (2003): Ecological patterns of vegetation distribution in the "Sviati Hory" National Nature Park. Ukrainian Phytosociological Collection 1(20), 83-98.

4. Didukh, Ya. P., Sokolenko, U. M., Rasevych, V. V., Havrylov, S. O. (2024): Methodology for calculating environmental damage to natural ecosystems and their components: A manual. Kravchenko, O. V. (Ed.); Manuscript Company Publishing House: Lviv - Kyiv, Ukraine, 68 p. (in Ukrainian).

5. Doronin, Yu. A. (1970): Current state of chalk pine forests of the Central Russian Upland. Izvestiya Voronezhskogo gosudarstvennogo pedagogicheskogo instituta 112, 28-35 (in Russian).

6. Dubayah, R., Armston, J., Healey, S. P., Yang, Z., Patterson, P. L., Saarela, S., Stahl, G., Duncanson, L., Hancock, S. (2022): GEDI launches a new era of biomass inference from space. Environmental Research Letters 17(9): 095001. CrossRef

7. Duncanson, L., Kellner, J., Armston, J., Dubayah, R. (2022): Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment 270: 112845. CrossRef

8. Dyakova, O. V. (2008): Vegetation of alder forests in the Svyatohirskyi Tabir tract (Svyati Hory National Nature Park). In Hlukhov, O. Z. (Ed.), Restoration of Damaged Natural Ecosystems: Materials of the Third International Scientific Conference; Donetsk, Ukraine, pp. 183-185 (in Ukrainian).

9. EUNIS - European Nature Information System. Available online: https://eunis.eea.europa.eu/ (accessed on 18 May 2026).

10. Fayad, I., Ciais, P., Schwartz, M., Wigneron, J. P., Baghdadi, N., de Truchis, A., d'Aspremont, A., Frappart, F., Saatchi, S., Sean, E., Pellissier-Tanon, A., Bazzi, H. (2024): Hy-TeC: a hybrid vision transformer model for high-resolution and large-scale mapping of canopy height. Remote Sensing of Environment 302: 113945. CrossRef

11. Fernandes, P. M., Vega, J. A., Jiménez, E., Rigolot, E. (2008): Fire resistance of European pines. Forest Ecology and Management 256(3), 246-255. CrossRef

12. Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., Moore, R. (2017): Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202, 18-27. CrossRef

13. Grings, F., Leszczuk, A., Hildt, E., Lorán, D., Arellana, J., Orona, M., Lopez, H., Kornuta, J., Ottenweller, C., Breziski, D., Silva, H., Rechberger, F., Franco, M. (2025): Validation of GEDI above ground biomass product over Pinus sp. plantations in Argentina. Journal of Applied Remote Sensing 19(2): 024502. CrossRef

14. Groshev, B. I., Sinitsyn, S. G., Moroz, P. I., Seperovich, I. P. (1980): Forest Inventory Handbook, 2nd ed.; Lesnaya promyshlennost: Moscow, USSR, 287 p. (in Russian).

15. Hao, Q., Huang, C. (2023): A review of forest aboveground biomass estimation based on remote sensing data. Chinese Journal of Plant Ecology 47(10), 1356-1374. CrossRef

16. Harris, N. L., Gibbs, D. A., Baccini, A., Birdsey, R. A., de Bruin, S., Farina, M., Fatoyinbo, L., Hansen, M. C., Herold, M., Houghton, R. A., Potapov, P. V., Suarez, D. R., Roman-Cuesta, R. M., Saatchi, S. S., Slay, C. M., Turubanova, S. A., Tyukavina, A. (2021): Global maps of twenty-first century forest carbon fluxes. Nature Climate Change 11(3), 234-240. CrossRef

17. Hylyarov, A. M. (1967): Information theory in ecology. Uspekhi sovremennoy biologii 64(4), 107-115 (in Russian). CrossRef

18. Kotov, M. I. (1928): "Svyati Hory" of the Artemivsk district. Materialy po okhrane prirody Ukrainy 1, 115-126 (in Russian).

19. Lakida, P. I. (2002): Forest Phytomass of Ukraine; Zbruch: Ternopil, Ukraine, 256 p. (in Ukrainian).

20. Lang, N., Jetz, W., Schindler, K., Wegner, J. D. (2023): A high-resolution canopy height model of the Earth. Nature Ecology & Evolution 7(11), 1778-1789. CrossRef PubMed

21. Liang, M., González-Roglich, M., Roehrdanz, P., Tabor, K., Zvoleff, A., Leitold, V., Silva, J., Fatoyinbo, L., Hansen, M., Duncanson, L. (2023): Assessing protected area's carbon stocks and ecological structure at regional-scale using GEDI lidar. Global Environmental Change 78: 102621. CrossRef

22. Ministry of Environmental Protection and Natural Resources of Ukraine (2021): Order No. 111 "On approval of lists of plant and fungal species included in the Red Data Book of Ukraine (flora), and plant and fungal species excluded from the Red Data Book of Ukraine (flora)". Available online: https://zakon.rada.gov.ua/laws/show/z0370-21#n17 (accessed on 18 May 2026) (in Ukrainian).

23. Kuzemko, A. A., Didukh, Ya. P., Onyshchenko, V. A., Sheffer, Ya. (Eds.) (2018): National Habitat Catalogue of Ukraine; Klymenko Yu. Ya.: Kyiv, Ukraine, 442 p. (in Ukrainian).

24. Pandit, S., Tsuyuki, S., Dube, T. (2018): Estimating above-ground biomass in sub-tropical buffer zone community forests, Nepal, using Sentinel 2 data. Remote Sensing 10(4): 601. CrossRef

25. Pauls, J., Zimmer, M., Kelly, U. M., Schwartz, M., Saatchi, S., Ciais, P., Pokutta, S., Brandt, M., Gieseke, F. (2024): Estimating canopy height at scale, arXiv:2406.01076.

26. Pereira, P., Bašić, F., Bogunovic, I., Barceló, D. (2022): Russian-Ukrainian war impacts the total environment. Science of the Total Environment 837: 155865. CrossRef PubMed

27. Phiri, D., Simwanda, M., Salekin, S., Nyirenda, V. R., Murayama, Y., Ranagalage, M. (2020): Sentinel-2 data for land cover/use mapping: a review. Remote Sensing 12(14): 2291. CrossRef

28. Potapov, P., Li, X., Hernandez-Serna, A., Tyukavina, A., Hansen, M. C., Kommareddy, A., Pickens, A., Turubanova, S., Tang, H., Silva, C. E., Armston, J., Dubayah, R., Blair, J. B., Hofton, M. (2021): Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment 253: 112165. CrossRef

29. Council of Europe (2018): Revised Annex I to Resolution 4 (1996) of the Bern Convention on endangered natural habitat types using the EUNIS habitat classification. Adopted by the Standing Committee on 30 November 2018. Available online: https://rm.coe.int/16807469e7 (accessed on 18 May 2026).

30. Sedano, F., Maianti, P., Boca, R., Suarez-Moreno, M., Broglia, M. et al. (2026): Advance report on Forest Fires in Europe, Middle East and North Africa 2025; Publications Office of the European Union: Luxembourg.

31. Shao, Z., Zhang, L. (2016): Estimating forest aboveground biomass by combining optical and SAR data: A case study in Genhe, Inner Mongolia, China. Sensors 16(6): 834. CrossRef PubMed PubMed Central

32. Sinelshchikov, R. G. (1975): Common hornbeam in the forests of Donbas. Vvedenie v eksperimentalnuyu ekologiyu rasteniy 4, 24-29 (in Russian).

33. Tassi, A., Vizzari, M. (2020): Object-oriented LULC classification in Google Earth Engine combining SNIC, GLCM, and machine learning algorithms. Remote Sensing 12(22): 3776. CrossRef

34. Tolan, J., Yang, H. I., Nosarzewski, B., Couairon, G., Vo, H. V., Brandt, J., Couprie, C. (2024): Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar. Remote Sensing of Environment 300: 113888. CrossRef

35. Van Winckel, S., Simons, J., Lhermitte, S., Muys, B. (2025): Assessing the effect of forest management on above-ground carbon stock by. CrossRef

36. Zhurova, P. T. (2012): National Nature Park "Svyati Hory". In Ecology and Natural Resources of Ukraine; Ukrainian Union of Journalists, Instytut biohrafichnykh doslidzhen: Kyiv, Ukraine, 79 p. (in Ukrainian).

37. Zibtsev, S., Pasternak, V., Vasylyshyn, R., Sydorenko, S., Soshenskyi, O., Myroniuk, V. (2024): Assessment of carbon emissions due to landscape fires in Ukraine during war in 2022. Ukrainian Journal of Forest and Wood Science 15(1), 126-139. CrossRef