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Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis

Invasive species are a major threat to biodiversity worldwide. Controlling their rapid spread can only be effective if we consider the geographical factors that influence their occurrence. For instance, roads, railway networks, green and blue infrastructure, and elements of ecological networks (e.g....

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Autores principales: Szilassi, Péter, Soóky, Anna, Bátori, Zoltán, Hábenczyus, Alida Anna, Frei, Kata, Tölgyesi, Csaba, van Leeuwen, Boudewijn, Tobak, Zalán, Csikós, Nándor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706988/
https://www.ncbi.nlm.nih.gov/pubmed/34961140
http://dx.doi.org/10.3390/plants10122670
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author Szilassi, Péter
Soóky, Anna
Bátori, Zoltán
Hábenczyus, Alida Anna
Frei, Kata
Tölgyesi, Csaba
van Leeuwen, Boudewijn
Tobak, Zalán
Csikós, Nándor
author_facet Szilassi, Péter
Soóky, Anna
Bátori, Zoltán
Hábenczyus, Alida Anna
Frei, Kata
Tölgyesi, Csaba
van Leeuwen, Boudewijn
Tobak, Zalán
Csikós, Nándor
author_sort Szilassi, Péter
collection PubMed
description Invasive species are a major threat to biodiversity worldwide. Controlling their rapid spread can only be effective if we consider the geographical factors that influence their occurrence. For instance, roads, railway networks, green and blue infrastructure, and elements of ecological networks (e.g., ecological corridors) can facilitate the spread of invasive species. In our study, we mapped the occurrence of five invasive plant taxa (tree of heaven, common milkweed, Russian olive, black locust, and goldenrods) in Hungary, using field photos from the EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS) database from the year 2015. Species point occurrence data were compared with the spatial characteristics of linear transport infrastructure and with the green and blue infrastructure. We found that the occurrence of tree of heaven and Russian olive was strongly related to the road and railway network. The average Euclidean distance of LUCAS points infected with these species from railway embankments and roads was much smaller than that of uninfected points. However, black locust and goldenrods were more common only along the road network. According to our results, the occurrence of some investigated invasive plants was over-represented in the HEN and within Natura 2000 areas of Hungary compared to non-infected points. Our results may provide important information for predicting the rate of invasion and for applying targeted management within the HEN, and Natura 2000 protected areas.
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spelling pubmed-87069882021-12-25 Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis Szilassi, Péter Soóky, Anna Bátori, Zoltán Hábenczyus, Alida Anna Frei, Kata Tölgyesi, Csaba van Leeuwen, Boudewijn Tobak, Zalán Csikós, Nándor Plants (Basel) Article Invasive species are a major threat to biodiversity worldwide. Controlling their rapid spread can only be effective if we consider the geographical factors that influence their occurrence. For instance, roads, railway networks, green and blue infrastructure, and elements of ecological networks (e.g., ecological corridors) can facilitate the spread of invasive species. In our study, we mapped the occurrence of five invasive plant taxa (tree of heaven, common milkweed, Russian olive, black locust, and goldenrods) in Hungary, using field photos from the EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS) database from the year 2015. Species point occurrence data were compared with the spatial characteristics of linear transport infrastructure and with the green and blue infrastructure. We found that the occurrence of tree of heaven and Russian olive was strongly related to the road and railway network. The average Euclidean distance of LUCAS points infected with these species from railway embankments and roads was much smaller than that of uninfected points. However, black locust and goldenrods were more common only along the road network. According to our results, the occurrence of some investigated invasive plants was over-represented in the HEN and within Natura 2000 areas of Hungary compared to non-infected points. Our results may provide important information for predicting the rate of invasion and for applying targeted management within the HEN, and Natura 2000 protected areas. MDPI 2021-12-04 /pmc/articles/PMC8706988/ /pubmed/34961140 http://dx.doi.org/10.3390/plants10122670 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Szilassi, Péter
Soóky, Anna
Bátori, Zoltán
Hábenczyus, Alida Anna
Frei, Kata
Tölgyesi, Csaba
van Leeuwen, Boudewijn
Tobak, Zalán
Csikós, Nándor
Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis
title Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis
title_full Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis
title_fullStr Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis
title_full_unstemmed Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis
title_short Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis
title_sort natura 2000 areas, road, railway, water, and ecological networks may provide pathways for biological invasion: a country scale analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706988/
https://www.ncbi.nlm.nih.gov/pubmed/34961140
http://dx.doi.org/10.3390/plants10122670
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