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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14410%2F18%3A00103630" target="_blank" >RIV/00216224:14410/18:00103630 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15310/18:73592431

Result on the web

<a href="https://www.mdpi.com/1999-4907/9/2/96" target="_blank" >https://www.mdpi.com/1999-4907/9/2/96</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/f9020096" target="_blank" >10.3390/f9020096</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10508 - Physical geography

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Forests

ISSN

1999-4907

e-ISSN

1999-4907

Volume of the periodical

9

Issue of the periodical within the volume

2

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

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UT code for WoS article

000427520600049

EID of the result in the Scopus database

2-s2.0-85057062611