broj: 9-10/2019
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| RIJEČ UREDNIŠTVA | ||
| Uredništvo | ||
| Will a change in the ministry bring about a changein the attitude towards the forestry profession? pdf HR EN | 389 | |
| IZVORNI ZNANSTVENI ČLANCI | ||
| Damir Ugarković, Željko Španjol, Ivica Tikvić, Dražen Kapučija, Ivana Plišo Vusić | UDK 630* 111 (001) https://doi.org/10.31298/sl.143.9-10.1 | |
| Microclimate differences in the degradation stages of holm oak (Quercus ilex L.) forests pdf HR EN | 391 | |
| Ivan Lukić, Nikola Lacković, Milan Pernek, Christa Schafellner | UDK 630* 453 (001) https://doi.org/10.31298/sl.143.9-10.2 | |
| Redefinition of critical numbers of gypsy moth (Lymantria dispar L.) egg masses for pedunculate oak (Quercus robur L.) and first calculation for common beech (Fagus sylvatica L.) in Republic of Croatia pdf HR EN | 403 | |
| Muammer Şenyurt, Ilker Ercanli | UDK 630* 524 (001) https://doi.org/10.31298/sl.143.9-10.3 | |
| A comparison of artificial neural network models and regression models to predict tree volumes for crimean black pine trees in Cankiri forests pdf HR EN | 413 | |
| Abstract In this study, it is aimed to use and compare Artificial Neural Network (ANN) models for predicting individual tree volumes for of Crimean Black Pine trees within the Cankiri Forests. The single and double entry-volume equations and the Fang et al. (2000)’s compatible volume equation based on the classical and traditional methods were used by 360 Crimean Black Pine trees to obtain these tree volume predictions. To determine the best predictive alternative for ANN models, a total of 320 trained networks in the Multilayer Perceptron (MLP) and a total of 20 trained networks in the Radial Basis Function (RBF) architectures was trained and used to obtain the individual tree volume predictions. On the basis of the goodness-of-fit statistics, the ANN-based on MLP 1-9-1 including dbh as an input variable for single entry volume predictions showed a better fitting ability with SSE (2.7763), (0.9339), MSE (0.00910), RMSE (0.0954), AIC (-823.25) and SBC (-1421.81) than that by the other studied volume methods including dbh as an explanatory variable. For double entry volume predictions, including dbh and total height as input variables, ANN based on MLP 2-15-1 resulted in better fitting statistics with SSE (0.8354), (0.9801), MSE (0.00274), RMSE (0.0523), AIC (–579.55) and SBC (–1788.11). Key words: Tree Volume Prediction; Artificial Neural Network; Single and double volume equations; Segmented taper equation | ||
| Tomislav Sedlar, Tomislav Sinković, Ivana Perić, Andrej Jarc, Srđan Stojnić, Bogoslav Šefc | UDK 630* 812 (001) https://doi.org/10.31298/sl.143.9-10.4 | |
| Hardness of thermally modified beech wood and hornbeam wood pdf HR EN | 425 | |
| PRETHODNO PRIOPĆENJE | ||
| Anamarija Jazbec, Mislav Vedriš, Ksenija Šegotić | UDK 630*945 https://doi.org/10.31298/sl.143.9-10.5 | |
| Analysing the duration of studyng on undergraduate studies et the Faculty of forestry, University of Zagreb pdf HR EN | 435 | |
| Jelena Nedeljković, Mirjana Stanišić, Dragan Nonić, Mersudin Avdibegović, Marta Curman, Špela Pezdevšek Malovrh | UDK 630* 111 https://doi.org/10.31298/sl.143.9-10.6 | |
| Climate change governance in forestry and nature conservation: institutional framework in selected see countries pdf HR EN | 445 | |
| STRUČNI ČLANCI | ||
| Ivana Plišo Vusić, Irena Šapić, Joso Vukelić | UDK 630* 181.6 + 187 https://doi.org/10.31298/sl.143.9-10.7 | |
| Identification and mapping of Natura 2000 forest habitat types in Croatia (II) – 91F0, riparian mixed forests of Quercus robur, Ulmus laevis, Ulmus minor and Fraxinus angustifolia; 91L0, Oak-hornbeam forests of the illyrian area pdf HR EN | 461 | |
| Damir Drvodelić, Igor Poljak, Ivan Perković, Mario Šango, Katarina Tumpa, Ivana Zegnal, Marilena Idžojtić | UDK 630* 232.3 https://doi.org/10.31298/sl.143.9-10.8 | |
| Laboratory germination testing of the sweet chestnut (Castanea sativa Mill.) according to ISTA rules pdf HR EN | 469 | |