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Achieving the earlier set goals in forestry will not be easy in the light of global and climate change. The expected impact of climate change on forests in Serbia is already recorded in the studies of oak. This research was focused on the study of the impact of 15 climate variables from CARPATCLIM database over the Turkey oak from stand 8i (Management Unit Branjevina, Forest Division Sombor, Public Enterprise Vojvodinašume) using dendrochronological methods. Analyses using a simple Pearson's correlation showed the higher correlation between oak growth and SPEI (Standardized Precipitation Evapotranspiration Index), RDI (Reconnaissance Drought Index) and PDSI (Palmer Drought Severity Index) in the growing season in comparison to simple variables such as mean monthly temperature of monthly sum of precipitation. To date, indices SPEI and RDI are not used to a greater extent in dendrochronological studies. Given their characteristics that they are used for monitoring of drought, and that among the 15 climate variables provide significant correlations for the main months (April to August) during growing season, they should be seriously considered in the future understanding of the impact of drought on forests.

Achieving the strategical goals in forestry of Republic of Serbia will not be easy in the light of climate change. Gypsy moth (Lymantria dispar L.) is the most economically significant and abound at pest in deciduous forests in Serbia. It is also very important pest in fruit orchards. His outbreak often has the character of a natural disaster that requires a significant commitment of manpower and financial resources in order to suppress it. We developed two models for predicting the occurrence of gradation (outbreak) and latency of gypsy moth population on the basis of monthly and quarterly values of climatic data for the period 1888-2010. The models were based on logistic regression. In the MODEL I, we have used the mean monthly temperatures from October of the year preceding event, temperature in January and March, and the rainfall in May, while in MODEL II, taken were mean temperatures of the first quarter and sum of the precipitation of the second quarter. Overall classification accuracy of the models were above 70%, while the prediction of outbreak based on MODEL I was 86%. The results of this study (models that can be applied in real time) can contribute to better decision-making in relation to forest management and protection of forests from gypsy moth in Republic of Serbia and wider.

This paper present the results of examination of wood of four black locust clones (Robinia pseudoacacia L.) R34, R56, R113, R121, in different ages - 6,8,11 and 13 years. Growth ring width, fiber length and wood volume density (oven dry and basic) were determined. For all tested roperties significant differences were found caused by different clone and different age of wood. The highest average growth rate - the width of growth rings was recorded up to the eighth year (mean 5.40mm), while the average fiber length of 0.866mm increased with age of trees. Mean values of wood density of 672 kg/m3, which is in an older wood range up to 780 kg/m3 , confirm a significant possibilty of using black locust wood as renewable energy source.