Tanovski, Vladimir
Preferred name
Tanovski, Vladimir
Official Name
Tanovski, Vladimir
Scopus Author ID
57214836082
9 results
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Item type:Publication, Machine-learning algorithms evaluation of growing stock prediction, based on inventory and sentinel spectral data on two beech forest sites in Bosnia and Macedonia(2018-10-10) ;Cabaravdic, Azra; ; ;Magmutovic, GalibOsmanovic, Mirza - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of Chestnut Blight Disease on Radial Growth of Infected Castanea Sativa Trees(Forestry, Bridge to the Future, 2021-05); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Planiranje gazdovanje i obnovitelni potencijal izdanačke čiste i mešovite hrastove šume u Severnoj Makedoniji(2019); ;Dubravac, Tomislav; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Spatial structural characteristic of Macedonian pine (Pinus peuce Gris.) forest in National Park Pelister in North Macedonia(Ss. Cyril and Methodius University in Skopje Hans Em Faculty of Forest Sciences, Landscape Architecture and Environmental Engineering, 2022-06-15); ;Matovic, BratislavForest spatial structure strictly defines ecosystem resilience, the success of its functioning, and development. The spatial structure of forest compartments provides additional information on the forest stand heterogeneity. The aim of this study is to examine structural patterns (both spatial and nonspatial ones) in Macedonian pine (Pinus peuce Gris.) forests located at National Park Pelister, North Macedonia. We analyzed middle-aged (~ 90 years) Macedonian pine stands in terms of structural metrics collecting data from geo-referenced trees on the established 14 circle sample plots (SP). The area of each SP was 500 m2. In SP for the nonspatial characteristic (NC) were collected data for tree diameter at breast height (DBH), tree height (H), azimuth, the distance of trees from the center of SP and data for stand characteristic. For spatial characteristic (SC) were calculated the index aggregation of Clark and Evans, mean distance, uniform angle index (W), mean directional index, DBH, H differentiation and domination. For testing the spatial structure of stands, we were used L and pair correlation functions. Were used Excel, Crancod and StatSoft Statistica software for NC and SC analysis. The average age of SP ranges from 88 to 99 years. The average value of DBH, H, basal area and volume of trees per hectare are 33.9 cm, 20.1 m, 55,8 m2 and 502 m3/ha respectively. According to the aggregation index, trees in SP are randomly deployed with coefficients from 0.73 to 1.34 with an average value of 1.07. Distances between the reference tree and 1st neighborhood are in the range from 1.27 to 3.36 with an average value of 2.18. The position of the four trees around the reference tree is random and uniform because the range value of the W index is from 0.49 to 0.67 with an average value of 0.56. The mean directional index points out that trees are grouped around referent trees with an average value of 2.05. In the stand of Macedonian pine, trees have low differentiation of DBH and H with average values of 0.19 and 0.09 respectively. Regarding domination of DBH and H, it can be said that trees around the reference tree have some bigger diameter with the coefficient of 0.54, while regarding height they have an equal domination index with a value of 0.5. L correlation function points out that trees are grouped and, in some cases, they are randomly positioned. The same result has a pair correlation function where trees are grouped and relatively randomly positioned. It can be concluded that trees in the Macedonian pine stand have a rather random and uniform arrangement, with little differentiation and a small dominance in the DBH and the H. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Management and regeneration potential on overmature coppice sessile oak forests stands, case study in Bushava Planina(2018); ;Dubravac, Tomislav; ; - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Dendroecology analysis of Macedonian pine (Pinus peuce Gris.) radial growth and climate relationships at National Park Pelister in North Macedonia(Ss. Cyril and Methodius University in Skopje Hans Em Faculty of Forest Sciences, Landscape Architecture and Environmental Engineering, 2022-06-15)The climate-growth relationship in tree development is evident and the development of trees directly depends on climate. Numerous dendroecology analyses have been developed for Europe, but there are still regions with limited data of this kind. In order to assess the impact of climate variations on Macedonian pine stands in National Park Pelister (NPP), the radial growth of Macedonian pine trees and their dependence on temperature and precipitation were studied using dendroclimatological and dendroeloecological methods. In that context, at NPP 35 core samples were taken from dominant trees. The stands are located on the northern slope in pure even-aged Macedonian pine forests with the same structural characteristics. Core samples were firstly air dried, sanded, scanned with height resolution and then measured and visually cross-dated using CooRecorder and CDendro software. To standardize and evaluate the measurement of tree ring width was used dplR library package. Also were calculated some dendrochronological data as Mean sensitivity (MS), running rbar, Expressed population signal (EPS) and autoregression coefficient (AR). The climate-growth relationship was determined by Treeclim package in R. This dendroclimatic study was prepared using correlation and response function analysis. The Pearson correlation coefficients between the chronology indices and 18 precipitation and temperature data were calculated for the period from 1951 to 2015. The applied response function analysis included 18 precipitation and temperature variables from May of the prior year to October of the current year. Dendrochronology statistics show MS of 0.21, rbar value of 0.211, EPS of 0.831 and autoregression coefficient of 0.846. The results of the correlation analysis pointed out that there was a strong tendency towards a positive response to the summer and late summer/early autumn precipitation and a weak significant negative response to the summer temperatures. Climate-growth relationships were further studied using the response functions for individual months from previous May to current October. In that way, higher precipitation in August of the previous year as in May and June of the current year has a positive response to tree ring width (TRW). Otherwise, the high temperature in July of the current year has a negative impact on TRW. These results show the relationship between climate and growth, but as a result of the small number of sample cores with a relatively small number of rings, these stands need to be further explored to define the climate-growth relationship.
