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Znanstveno-stručno i staleško glasilo
Hrvatskoga šumarskoga društva
Journal of Forestry Society of Croatia
      Prvi puta izašao 1877. godine i neprekidno izlazi do današnjeg dana
   ISSN No.: 0373-1332              UDC 630*
upute autorima


Do we use biomass as an energy source? If so, how do we use it?     pdf     HR     EN 101
David Janeš, Andreja Đuka, Ivica Papa, Tibor Pentek, Maja Moro, Ivan Žarković, Tomislav Poršinsky UDK 630* 686 + 463 (001)
Indicators of primary forest accessibility in different terrain categories     pdf     HR     EN 103
Kristijan Tomljanović, Marijan Grubešić, Danko Diminić, Milan Poljak, Jelena Kranjec Orlović UDK 630* 156 + 451 (001)
Red deer (Cervus elaphus L.) damage on stands of narrow-leaved ash (Fraxinus angustifolia Vahl) of Middle Posavina     pdf     HR     EN 117
Mustafa Arslan, Arzu Ucar Turker, Isa Tas, Arzu Birinci Yildirim, Erva Ozkan UDK 630* 423 (001)
Determination of some phenolic substances in six different populations of turkish hazel (Corylus colurna L.) leaves and comparison of phenolic fluctuation with water deficiency     pdf     HR     EN 127
Ender Bugday UDK 630* 261 (001)
A GIS based landslide susceptibility mapping using machine learning and alternative forest road routes assessment in protection forests     pdf     HR     EN 137
Forestry activities should be carried out within the purview of sustainable forestry while reaping the benefits of forestry. Accordingly, the construction of forest roads through forests should be carefully planned, especially in protection forests. Forest areas in Turkey are generally widespread in mountainous and high sloping areas that are susceptible to landslides-landslide susceptibility is one of the most important criteria for the selection of protected forests. As such, it is important to evaluate detailed and applicable alternatives regarding special areas and private forests. The aim of this study is to determine alternative routes for forest roads in protected forests through the use of geographic information systems (GIS), particularly in areas with high landslide susceptibility. To this end, a landslide susceptibility map (LSM) was created using logistic regression (LR) and random forest (RF)
modeling methods, which are widely used in machine learning (ML). Two models with the highest receiver operating characteristic (ROC) and area under curve (AUC) values were selected, and ten factors (slope, elevation, lithology, distance to road, distance to fault, distance to river, curvature, stream power index, topographic position index, and topographic wetness index) were used. The best LSM modeling method was AUC. The AUC value was 90.6% with the RF approach and 80.3% with the LR approach. The generated LSMs were used to determine alternative routes that were calculated through cost path analysis. It is hoped that the susceptibility to landslides and selection of alternative forest road routes determined through the approaches and techniques in this study will benefit forest road planning as well as plan and decision makers.

Key words: forestry; alternative route detection; cost-path; random forest; logistic regression
Zdravko Dolenec UDK 630* 148.2
Dates of arrival of the Eurasian golden oriole (Oriolus oriolus L.) in decidious forest in relation to increase of local air temperature in NW Croatia     pdf     HR     EN 149
Matija Bakarić, Ivan Martinić, Mario Šporčić, David Mijoč, Matija Landekić UDK 630* 641
Entrepreneurial infrastructure and entrepreneurship in forestry of Croatia – possibilities and perspectives     pdf     HR     EN 153

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