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

Invasive tree species are a significant threat to native flora. They modify the environment with their allelopathic substances and inhibit the growth of native species by shading, thus reducing diversity. The most effective way to control invasive plants is to prevent their spread which requires ide...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Visztra Georgina Veronika
Frei Kata
Hábenczyus Alida Anna
Soóky Anna
Bátori Zoltán
Laborczi Annamária
Csikós Nándor
Szatmári Gábor
Szilassi Péter
Dokumentumtípus: Cikk
Megjelent: 2023
Sorozat:PLANTS-BASEL 12 No. 4
Tárgyszavak:
doi:10.3390/plants12040855

mtmt:33639885
Online Access:http://publicatio.bibl.u-szeged.hu/27890
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245 1 0 |a 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  |h [elektronikus dokumentum] /  |c  Visztra Georgina Veronika 
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490 0 |a PLANTS-BASEL  |v 12 No. 4 
520 3 |a Invasive tree species are a significant threat to native flora. They modify the environment with their allelopathic substances and inhibit the growth of native species by shading, thus reducing diversity. The most effective way to control invasive plants is to prevent their spread which requires identifying the environmental parameters promoting it. Since there are several types of invasive plant databases available, determining which database type is the most relevant for investigating the occurrence of alien plants is of great importance. In this study, we compared the efficiency and reliability of point-based (EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS)) and polygon-based (National Forestry Database (NFD)) databases using geostatistical methods in ArcGIS software. We also investigated the occurrence of three invasive tree species (Ailanthus altissima, Elaeagnus angustifolia, and Robinia pseudoacacia) and their relationships with soil, hydrological, and climatic parameters such as soil organic matter content, pH, calcium carbonate content, rooting depth, water-holding capacity, distance from the nearest surface water, groundwater depth, mean annual temperature, and mean annual precipitation with generalized linear models in R-studio software. Our results show that the invasion levels of the tree species under study are generally over-represented in the LUCAS point-based vegetation maps, and the point-based database requires a dataset with a larger number of samples to be reliable. Regarding the polygon-based database, we found that the occurrence of the invasive species is generally related to the investigated soil and hydrological and climatic factors. 
650 4 |a Föld- és kapcsolódó környezettudományok 
650 4 |a Biológiai tudományok 
700 0 1 |a Frei Kata  |e aut 
700 0 1 |a Hábenczyus Alida Anna  |e aut 
700 0 1 |a Soóky Anna  |e aut 
700 0 1 |a Bátori Zoltán  |e aut 
700 0 1 |a Laborczi Annamária  |e aut 
700 0 1 |a Csikós Nándor  |e aut 
700 0 1 |a Szatmári Gábor  |e aut 
700 0 1 |a Szilassi Péter  |e aut 
856 4 0 |u http://publicatio.bibl.u-szeged.hu/27890/1/plants-12-00855.pdf  |z Dokumentum-elérés