Application of a spatial dataset for monitoring invasive woody plant species in the forests of Transcarpathia, Ukraine Andriy Mihaly https://orcid.org/0000-0002-6319-1516 Vasyl Roman https://orcid.org/0009-0006-4139-5872 National Uzhhorod National University (Uzhhorod, Ukraine) Cite as Mihaly, A., V. Roman. 2024. Application of a spatial dataset for monitoring invasive woody plant species in the forests of Transcarpathia, Ukraine.GEO&BIO, 26: 135–144. [In Ukrainian, with English summary] doi: https://doi.org/10.53452/gb2611 pdf: gb2611-mihaly.pdf Abstract The paper describes and provides examples of the application of the developed spatial dataset on the spread of invasive woody plant species in the forests of Transcarpathia, Ukraine. The dataset was developed based on forest inventory data using the open source QGIS program, which performed digitisation of forest plantation plans of permanent forest users and overlay analysis. The created dataset contains 4212 records of the distribution of the following invasive woody plant species: black locust (Robinia pseudoacacia L.), northern red oak (Quercus rubra L.), ash maple (Acer negundo L.), and brittle willow (Salix fragilis L.). The dataset contains information on the location of forest plots, silvicultural and taxonomic characteristics of stands with predominance and participation of invasive woody plant species. The created spatial dataset was used to study the distribution of invasive woody species of black locust and northern red oak in Transcarpathia by geobotanical and floristic zones. The results of the study showed that the most favourable conditions for the distribution of black locust are the area of beech-oak and oak-beech foothill forests of the Volcanic Range of the Ukrainian Carpathians within Transcarpathia, as well as the Transcarpathian Plain forest area. Unlike the artificially created northern red oak forests, the distribution of the black locust in the study area is primarily due to its biological properties, specifics of environmental relationships and of forestry in the past. Regarding the distribution of the northern red oak, the results of using our spatial dataset show that such forests have the largest portion in the areas of hornbeam-beech and beech forests (39.4%) and in the forests of the Volcanic Ridge (24.2%). The created spatial dataset can be used to study the distribution of invasive woody plant species within the forest cover of Transcarpathia. The spatial dataset can also be utilised as a source of training samples for machine learning, which is involved in the processing of satellite images to identify new habitats of invasive woody plant species. Key words: spatial dataset, GIS, invasive plant species, Transcarpathia, Robinia pseudoacacia, Quercus rubra. Correspondence to Andriy Mihaly; Uzhhorod National University, 14 Universitetska Street, Uzhhorod, 88000, Ukraine; Email: andriy.myhal@uzhnu.edu.ua Article info Submitted: 31.05.2024. Revised: 20.06.2024. Accepted: 12.11.2024 References Bartha, D. 1999. Magyarországfa- éscserjefajai. Mezőgazda Kiadó, Budapest, 1–302. César de Sá, N., S. Carvalho, P. Castro, E. Marchante, H. Marchante. 2017. Using Landsat Time Series to Understand How Management and Disturbances Influence the Expansion of an Invasive Tree. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (7): 3243–3253. https://doi.org/10.1109/JSTARS.2017.2673761 Chopyk, V. I. 1969. Floristic zoning of the Ukrainian Carpathians. Ukrainian Botanical Journal, 26 (4): 3–16. [Ukrainian] Cierjacks, A., I. Kowarik, J. Joshi, S. Hempel, M. Ristow, M. von der Lippe, M. E. Weber. 2013. Biological flora of the British isles: Robinia pseudoacacia. Journal of Ecology, 101: 1623–1640. https://doi.org/10.1111/1365-2745.12162 Crisigiovanni, E. L., A. F. Filho, V. A. Pesck, et al. 2021. Potential of machine learning and WorldView-2 images for recognizing endangered and invasive species in the Atlantic Rainforest. Annals of Forest Science, 78: 54. https://doi.org/10.1007/s13595-021-01070-3 Csiszár Á., P. Kézdy, M. Korda, D. Bartha. 2020. Occurrence and management of invasive alien species in Hungarian protected areas compared to Europe. Folia Oecologica, 47 (2): 178–191. https://doi.org/10.2478/foecol-2020-0021 Current Invasive Plants (Feature Layer). 2022. U.S. Forest Service — Geospatial Data Discovery. https://data-usfs.hub.arcgis.com/datasets/usfs::current-invasive-plants-feature-layer/about Diagne, C., B. Leroy, A. Vaissière, R. Gozlan, D. Roiz, et al. 2021. High and Rising Economic Costs of Biological Invasions Worldwide. Nature, 592: 571–576. https://doi.org/10.1038/s41586-021-03405-6 Didukh, Y. P., I. I. Chorney, V. V. Budzhak, et al. 2016. Climatogenic Changes of Plant Life of the UkrainianCarpathians. DrukArt, Chernivtsi, 1–280. [Ukrainian] Hayda, Y., V. Mohytych, D. Bidolakh, V. Kuzovych, M. Sułkowska. 2022. The introduction of red oak (Quercus rubra L.) in Ukrainian forests: advantages of productivity versus disadvantages of invasiveness. Folia Forestalia Polonica, 64 (4): 245–252. https://doi.org/10.2478/ffp-2022-0023 Holubets, М. А. 2003. Geobotanical division of the Ukrainian Carpathians — a basis of rational natural use. Proceedings of the Scientific Society named after Shevchenko, 12: 283–292. [Ukrainian] Ivchenko, A. I. 2002. History of the introduction of Quercus rubra L. Naukovyi visnyk NLTU Ukrainy, 12 (4): 93–97. Kichura, V. P., A. V. Kichura. 2017. The problem of productivity of forest stands of former collective agricultural enterprises in Transcarpathian region. Lisivnytstvo i ahrolisomelioratsiia, 130: 61–69. Retrieved from https://forestry-forestmelioration.org.ua/index.php/journal/article/view/82 Kucher, O., Y. Didukh, N. Pashkevych, L. Zavialova, Y. Rozenblit, O. Orlov, M. Shevera, 2023. The impact of northern red oak (Quercus rubra; Fagaceae) on the forest phytodiversity in Ukraine. Ukrainian Botanical Journal, 80 (6): 453–468. [Ukrainian] https://doi.org/10.15407/ukrbotj80.06.453 Labonté, J., G. Drolet, J-D. Sylvain, N. Thiffault, F. Hébert, F. Girard. 2020. Phenology-Based Mapping of an Alien Invasive Species Using Time Series of Multispectral Satellite Data: A Case-Study with Glossy Buckthorn in Québec, Canada. Remote Sensing, 12 (6): 922. https://doi.org/10.3390/rs12060922 List... 2017. List of Invasive Plant Species in Transcarpathian Region. Approved by the Solution of the Transcarpathian RSA from 23.03.2017 year No. 721. [Ukrainian] https://ips.ligazakon.net/document/ZA170092 Martin-Gallego P., P. Aplin, C. Marston, A. Altamirano, A. Pauchard, 2020. Detecting and modelling alien tree presence using Sentinel-2 satellite imagery in Chile’s temperate forests, Forest Ecology and Management, 474, 118353. https://doi.org/10.1016/j.foreco.2020.118353 Pagad, S., P. Genovesi, L. Carnevali, D. Schigel, M. McGeoch. 2018. Introducing the Global Register of Introduced and Invasive Species. Scientific Data, 5 (1). https://doi.org/10.1038/sdata.2017.202 Pasha, S. V., K. V. Satish, C. S. Reddy, et al.2014. Satellite image based quantification of invasion and patch dynamics of mesquite (Prosopis juliflora) in Great Rann of Kachchh, Kachchh Biosphere Reserve, Gujarat, India. Journal of Earth System Science, 123: 1481–1490. https://doi.org/10.1007/s12040-014-0486-0 Poorter, M. D., M. Browne, D. V. Alford, G. F. Backhaus. 2005. The Global Invasive Species Database (GISD) and International Information Exchange: Using Global Expertise to Help in the Fight Against Invasive Alien Species. https://api.semanticscholar.org/CorpusID:82086952 Protopopova, V. V., M. V. Shevera. 2019. Invasive species in the flora of Ukraine. I. The group of highly active species. GEO&BIO, 17: 116–135. [Ukrainian] https://doi.org/10.15407/gb.2019.17.116 Protopopova, V. V., S. L. Mosyakin, M. V. Shevera. 2003.The impact of adventive plant species on the phytobiota of Ukraine. In: Assessment and ways to reduce threats to biodiversity in Ukraine. Chimdzhest, Kyiv, 129–155. [Ukrainian] QGIS User Guide, https://docs.qgis.org/3.34/en/docs/training_manual/index.html Shevera, M. V., V. V. Protopopova, D. Е. Tomenchuk, E. J. Andrik, R. Y. Kish. 2017. The first official regional list of invasive species of Transcarpathia in Ukraine. Visnik Nacionalnoi academii nauk Ukraini, 10: 53–61. [Ukrainian] https://doi.org/10.15407/visn2017.10.053 Visztra, G. V., K. Frei, A. A. Hábenczyus, A. Soóky, Z. Bátori, et al. 2023. Applicability of point- and polygon-based vegetation monitoring data to identify soil, hydrological and climatic driving forces of biological invasions—a case study of Ailanthus altissima, Elaeagnus angustifolia and Robinia pseudoacacia. Plants, 12 (4): 855. https://doi.org/10.3390/plants12040855 Vítková, M., J. Müllerová, J. Sádlo, J. Pergl, P. Pyšek. 2017. Black locust (Robinia pseudoacacia) beloved and despised: A story of an invasive tree in Central Europe, Forest Ecology and Management, 384: 287–302. https://doi.org/10.1016/j.foreco.2016.10.057 Zavialova, L. V. 2017. The most harmful invasive plant species for native phytodiversity of protected areas of Ukraine. Biological systems, 9 (1): 87–107. [Ukrainian] https://doi.org/10.31861/biosystems2017.01.087 |