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
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