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In the context of climate change afforestation is often seen as one of the most important mitigation measures. Forestry as a branch aims to improve the state of existing forests and also to increase the total forest fund. The question is what can all be done in order to reach the second objective, i.e. to increase existing forest area? By the Spatial plan of Republic Serbia forest area should be increased from the current 29% up to some 900 km2 by the year 2020. For Vojvodina, where only 7% of area is under forest, priority task is to find possibilities to afforest agricultural, degraded and other categories of land so that targeted increase of 14% can be reached. While afforestation has legal and strategic support there is a growing need to consider other relevant aspects and innovative solutions within them. This paper focuses on the social science aspects and examines one possible option on how to establish and maintain relationship with the owners/users of land suitable for afforestation. This option refers to the concept of customer relationship management (CRM). The aim of the paper is to describe and understand the CRM-concept and its application in forestry. Criterion analysis has been applied in order to determine CRM-possibilities when identifying, contacting and communicating with owners/users of land sutable for afforestation as with potential customers.

The decline in vitality and dieback of oak forests is increasingly present Vojvodina. This is old challenge for forestry, which again became actual. The paper used dendrochronological methods with the intention to describe trends in growth of pedunculate oak forests in Srem and trends of the water level of the Sava River and air temperature, which are defined as critical to the vitality of these forests. Predicted were water levels of Sava River in the 21st century with overview of its implications on the oak forests growth. Samples were taken from three stands in Srem (Stara Vratična, Smogva and Blate). Flows of Sava river were taken according to five climate scenarios for the periods 2012-2040 and 2042-2070, and converted into the water levels. A trend of decrease in growth in all three stands in last 30 years was observed, together with decrease in water level and temperature rise. Predicted future water levels of the Sava River were in general lower than those in the period 1951-1981, and higher than in the period 1982-2012. The differences between the various scenarios, as well as the impossibility of adequate simulations of extreme events, leavs space for further considerations.

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.

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.

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.