broj: 1-2/2015
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| RIJEČ UREDNIŠTVA | ||
| Uredništvo | ||
| DISORIENTATION IN PRIVATE FOREST MANAGEMENT pdf HR EN | 5 | |
| IZVORNI ZNANSTVENI ČLANCI | ||
| Darko Bakšić, Nikola Pernar, Ivan Perković, Boris Vrbek, Vibor Roje | UDK 630*114.2 (001) | |
| DISTRIBUTION OF ALKALI EARTH METALS AND ALKALI METALS (Ca, Mg, K, Na) IN THE FOREST SOIL OF MEDVEDNICA NATURE PARK pdf HR EN | 7 | |
| Vinko Paulić, Damir Drvodelić, Stjepan Mikac, Goran Gregurović, Milan Oršanić | UDK 630* 271 + 174 (Aesculus hippocastanum L.)(001) | |
| ARBORICULTURAL AND DENDROECOLOGICAL ANALYSIS OF THE CONDITION OF HORSE CHESTNUT (Aesculus hippocastanum L.) TREES IN THE TOWN OF VELIKA GORICA pdf HR EN | 21 | |
| Adrian Enache, Tibor Pentek, Valentina Doina Ciobanu, Karl Stampfer | UDK 630* 383 + 686 (001) | |
| GIS BASED METHODS FOR COMPUTING THE MEAN EXTRACTION DISTANCE AND ITS CORRECTION FACTORS IN ROMANIAN MOUNTAIN FORESTS pdf HR EN | 35 | |
| Summary Extraction distance is an important factor used for locating new forest roads. Correction factors should be used for adapting theoretical models to real life situations. The aim of this study was to show how extraction distance and the correction factors can be computed and used for assessing forest road options in a more efficient and effective manner using process automation in GIS. The study was located in a mountain forest in the South Central Carpathians of Romania. For determining the mean extraction distance, 71.5 km of skid trails were tracked in the field and mapped in GIS. Four computing methods were defined: raster method, grid point method, buffer strips method and centre of gravity method. For testing and validating the methods, four infrastructure scenarios were defined: one was describing the existing forest infrastructure and three others were proposing new road options. Statistical analyses were performed for testing the accuracy and the possible differences between methods. The paired samples t-tests revealed significant differences between scenarios proposing new forest roads and the current infrastructure conditions. The raster method, the grid point method and the buffer strip method reported high accuracy for computing the mean extraction distance. This study reported an extraction correction factor (ks) value of 1.50 and a total correction factor (kt) value of 3.40 which can be used for rough calculations in practice. The automation models developed in GIS improved the efficiency of computations. The correction factors determined in this study were comparable with those reported in literature, highlighting the reliability of the analysed methods. Key words: mean extraction distance; forest roads; road network planning; model; process automation; GIS | ||
| Neculae Şofletea, Marius Budeanu | UDK 630* 561 + 564 + 535 (Picea abies (L.) H. Karst)(001) | |
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