broj: 5-6/2004
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| IZVORNI ZNANSTVENI ČLANCI | ||
| Pernar, N., Vukelić, J., Bakšić, D., Baričević, D. | UDK 630* 114.4 + 188 | |
| An Insight Into Genesis and Properties of Soil in the Riparian Region of North-Eastern Baranja pdf HR EN | 223 | |
| Krpan, A. P. B., Poršinsky, T. | UDK 630* 363 | |
| Efficiency of Mechanical Felling and Processing in Soft and Hardwood broadleaved stands – Part 2: Efficiency of harvesters in the culture of soft broadleaf trees pdf HR EN | 233 | |
| Zečić, Ž., Krpan, A. P. B., Poršinsky, T., Šušnjar, M. | UDK 630* 375 | |
| Efficiency of tractors 8090 and 9078 in shelterwood fellings of stands in Požega mountains pdf HR EN | 245 | |
| Pilaš, I., Potočić, N. | UDK 630* 561 + 116 | |
| Depedence of intraseasonal variations of tree stem diameter changes, electrical resistanee of cambial zone and groundwater in common oak stand (Q. robur L.) pdf HR EN | 255 | |
| Popijač, M., Seletković, I., Volner, M., Lovrenčić, I., Barišić, D., Kezić, N. | UDK 630* 160 + 161 | |
| Dynamics of 137Cs and 40K Movement in Silver fir Trees on Sljeme Mountain pdf HR EN | 269 | |
| Posavec, S. | UDK 630* 652 | |
| Specificy of Bussines Analyses Entities in Managing with Forest and Forest Land pdf HR EN | 279 | |
| Štorga, D. | UDK 630* 582 + 525 | |
| Application of GIS in Stand Extraction According to Dendrometric Parameters pdf HR EN | 287 | |
| Summary: This thesis shows possibilities of GIS application in extracting stands according to dendometric parameters (number of trees – N, basal area – G, mean basal area tree – ds, age, % of species presence), that is, to seek and test ways and techniques of collecting, arranging and handling data, thus reducing ground work, improving measuring precision and accuracy, popularizing GIS, encouraging thinking and ideas development, both scientific thoughts and practical solutions in forest management.Ground work was done on regular oak forest stands on ‘Repaš – Gabajeva Greda’ (compartments 26–46) in Repaš Forestry Office, Forest Management Koprivnica Branch. A systematic pattern of nets of squares 100 x 100 m, whose centres are also centres of areas (circles) where a tree breast-diameter was measured, was established in compartments. A total of 1025 circles were set up in the research area and the breast-diameter of 37619 trees was measured. Following the ground measurings, recorded data were entered into the data base formed in a way so they could be used for variables processing using Microsoft Windows EXCEL and Statistica 6.0 software. In creating the graphic part of GIS model, the existing maps were digitalized: – topographic maps (1 : 5000), – cadastral plans (1 : 2880 and 1 : 2000), – management map (1 : 10000). In statistical data processing cluster analysis (K-means method) was used, the results of which are basis for GIS modelling for the purpose of extracting stands. The results of research into possibilities of GIS application in extracting stands according to dendometric parameters point to the application of GIS and statistics for the purpose of planning in forestry. • Geographical information system is suitable for gathering data from different sources, provided these data are georeferential in order to overlap unambiguously. • Data obtained in this way provide a basis for future planning in forest management, and they can also be supplemented. • Data obtained by statistical analysis can also be shown spatially and used in stand differentiation, taking into account forest management regulations. • With the help of GIS we can also plan management on smaller areas (1 ha) and determine certain activities (marking trees, felling, filling up blanks, and others) in each area. • Carrying out the required tasks (forest-growing works, felling, etc.), regulated by the Forest Management Plan becomes very easy and quick when using the data obtained with the use of GIS and the measuring for each area. • With the establishment of GIS can relieve a forester of dull and tedious work, leaving him with more time for other tasks. Key words: forests measuring; stand extraction; GIS; cluster analysis | ||