Detailed Information on Publication Record
2018
Application of GIS to Empirical Windthrow Risk Model in Mountain Forested Landscapes
KREJČÍ, Lukáš, Jaromír KOLEJKA, Vít VOŽENÍLEK and Ivo MACHARBasic information
Original name
Application of GIS to Empirical Windthrow Risk Model in Mountain Forested Landscapes
Name in Czech
Využití GIS pro empirický model rizika polomů horských lesních krajin
Authors
KREJČÍ, Lukáš (203 Czech Republic), Jaromír KOLEJKA (203 Czech Republic, guarantor, belonging to the institution), Vít VOŽENÍLEK (203 Czech Republic) and Ivo MACHAR (203 Czech Republic)
Edition
Forests, Basel, MDPI AG, 2018, 1999-4907
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10508 Physical geography
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.116
RIV identification code
RIV/00216224:14410/18:00103630
Organization unit
Faculty of Education
UT WoS
000427520600049
Keywords (in Czech)
empirické modelování; narušení lesa; monokulury smrku ztepilého, model rizika; prostorová analýza; polom
Keywords in English
empirical modelling; forest disturbance; Norway spruce dominated forests; risk model; spatial analysis; windthrow
Tags
International impact, Reviewed
Změněno: 21/1/2020 12:27, Dana Nesnídalová
V originále
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.
In Czech
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.