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Open AccessArticle

Application of GIS to Empirical Windthrow Risk Model in Mountain Forested Landscapes

1
Department of Geoinformatics, Faculty of Science, Palacky University, 17. listopadu 12, 771 46 Olomouc, Czech Republic
2
Department of Geography, Faculty of Education, Masaryk University, 603 00 Brno, Czech Republic
3
Department of Development and Environmental Studies, Faculty of Science, Palacky University, 17. listopadu 12, 771 46 Olomouc, Czech Republic
*
Author to whom correspondence should be addressed.
Forests 2018, 9(2), 96; https://doi.org/10.3390/f9020096
Received: 12 December 2017 / Revised: 16 February 2018 / Accepted: 16 February 2018 / Published: 22 February 2018
(This article belongs to the Special Issue Forest Landscape Ecology: Linking Past, Present, and Future Data)
Norway spruce dominates mountain forests in Europe. Natural variations in the mountainous coniferous forests are strongly influenced by all the main components of forest and landscape dynamics: species diversity, the structure of forest stands, nutrient cycling, carbon storage, and other ecosystem services. This paper deals with an empirical windthrow risk model based on the integration of logistic regression into GIS to assess forest vulnerability to wind-disturbance in the mountain spruce forests of Šumava National Park (Czech Republic). It is an area where forest management has been the focus of international discussions by conservationists, forest managers, and stakeholders. The authors developed the empirical windthrow risk model, which involves designing an optimized data structure containing dependent and independent variables entering logistic regression. The results from the model, visualized in the form of map outputs, outline the probability of risk to forest stands from wind in the examined territory of the national park. Such an application of the empirical windthrow risk model could be used as a decision support tool for the mountain spruce forests in a study area. Future development of these models could be useful for other protected European mountain forests dominated by Norway spruce. View Full-Text
Keywords: empirical modelling; forest disturbance; Norway spruce dominated forests; risk model; spatial analysis; windthrow empirical modelling; forest disturbance; Norway spruce dominated forests; risk model; spatial analysis; windthrow
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MDPI and ACS Style

Krejci, L.; Kolejka, J.; Vozenilek, V.; Machar, I. Application of GIS to Empirical Windthrow Risk Model in Mountain Forested Landscapes. Forests 2018, 9, 96.

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