4.7 Article

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

Journal

PLANTS-BASEL
Volume 12, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/plants12040855

Keywords

invasive tree species; LUCAS; forest units; ArcGIS; biological invasion; Ailanthus altissima; Elaeagnus angustifolia; Robinia pseudoacacia

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Invasive tree species pose a significant threat to native flora by modifying the environment and inhibiting the growth of native species. Preventing the spread of invasive plants is the most effective control method, requiring identification of the environmental factors that promote their occurrence. This study compared the efficiency and reliability of point-based and polygon-based databases in investigating the occurrence of three invasive tree species and their relationships with soil, hydrological, and climatic factors.
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.

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