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Scientia Agriculturae Bohemica

The Journal of Czech University of Life Sciences Prague

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CiteScore 2016: 0.78

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Application Natura 2000 Data For The Invasive Plants Spread Prediction*

J. Pěknicová
  • Corresponding author
  • Czech University of Life Sciences Prague, Faculty of Environmental Sciences, Prague, Czech Republic
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/ D. Petrus
  • Czech University of Life Sciences Prague, Faculty of Environmental Sciences, Prague, Czech Republic
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/ K. Berchová-Bímová
  • Czech University of Life Sciences Prague, Faculty of Environmental Sciences, Prague, Czech Republic
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Published Online: 2015-12-30 | DOI: https://doi.org/10.1515/sab-2015-0031


The distribution of invasive plants depends on several environmental factors, e.g. on the distance from the vector of spreading, invaded community composition, land-use, etc. The species distribution models, a research tool for invasive plants spread prediction, involve the combination of environmental factors, occurrence data, and statistical approach. For the construction of the presented distribution model, the occurrence data on invasive plants (Solidago sp., Fallopia sp., Robinia pseudoaccacia, and Heracleum mantegazzianum) and Natura 2000 habitat types from the Protected Landscape Area Kokořínsko have been intersected in ArcGIS and statistically analyzed. The data analysis was focused on (1) verification of the accuracy of the Natura 2000 habitat map layer, and the accordance with the habitats occupied by invasive species and (2) identification of a suitable scale of intersection between the habitat and species distribution. Data suitability was evaluated for the construction of the model on local scale. Based on the data, the invaded habitat types were described and the optimal scale grid was evaluated. The results show the suitability of Natura 2000 habitat types for modelling, however more input data (e.g. on soil types, elevation) are needed.

Keywords: invasive species; habitat type; modelling scale; species distribution models (SDMs)


  • * Supported by the Internal Grant Agency of the Czech University of Life Sciences Prague (IGA 2014), Project No. 422201312423170, and by DKR-Wetland Group, Project No. 4222013223243.


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About the article

Received: 2014-07-31

Accepted: 2015-09-05

Published Online: 2015-12-30

Published in Print: 2015-12-01

Citation Information: Scientia Agriculturae Bohemica, Volume 46, Issue 4, Pages 159–166, ISSN (Online) 1805-9430, ISSN (Print) 1211-3174, DOI: https://doi.org/10.1515/sab-2015-0031.

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© 2015 J. Pěknicová et al., published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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