NDVI as a potential tool for forecasting changes in geographical range of sycamore (Acer pseudoplatanus L.).


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
14 Nov 2023
Historique:
received: 08 03 2023
accepted: 30 10 2023
medline: 15 11 2023
pubmed: 15 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Determining the natural range of Acer pseudoplatanus and the future directions of its spread is not clear. Modern technological achievements, including tools related to remote sensing, provide new opportunities to assess the degree of spread and adaptation of species to a changing climate. The aim of the work was to demonstrate the possibility of using NDVI to assess the habitat conditions of sycamore in Poland and the possibility of its natural expansion. The data analysis was divided into 2 parts. The first covered the characteristics of all sycamore stands occurring in Poland. In the second part, the analysis of sycamore stands using NDVI was made. The results of the study show that the highest average NDVI values are found in sycamore stands in the northern part of Poland, which has so far been considered less favorable for sycamore. This may suggest the potential for an increase in the share of sycamore towards the north. The results also confirm the forecasts given in the literature regarding the spread of sycamore towards Lithuania, Latvia and Estonia. The results also point to Denmark and the western part of the British Isles as potentially favorable habitats for sycamore.

Identifiants

pubmed: 37963893
doi: 10.1038/s41598-023-46301-x
pii: 10.1038/s41598-023-46301-x
pmc: PMC10645912
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19818

Subventions

Organisme : GEO-INTER-APLIKACJE. The project is co-financed by the European Union from the European Social Fund underground the Operation Program Knowledge Education Development.
ID : POWR.03.02.00-00-I027/17

Informations de copyright

© 2023. The Author(s).

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Auteurs

Monika Konatowska (M)

Department of Botany and Forest Habitats, Faculty of Forestry and Wood Technology, Poznań University of Life Sciences, Wojska Polskiego 71F, 60-625, Poznan, Poland. monika.konatowska@up.poznan.pl.

Adam Młynarczyk (A)

Environmental Remote Sensing and Soil Science Research Unit, Faculty of Geographic and Geological Sciences, Adam Mickiewicz University in Poznań, Wieniawskiego 1, 61-712, Poznan, Poland.

Wojciech Kowalewski (W)

Department of Artificial Intelligence, Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznań, Wieniawskiego 1, 61-712, Poznan, Poland.

Paweł Rutkowski (P)

Department of Botany and Forest Habitats, Faculty of Forestry and Wood Technology, Poznań University of Life Sciences, Wojska Polskiego 71F, 60-625, Poznan, Poland.

Classifications MeSH