Research


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Research project (§ 26 & § 27)
Duration : 2018-02-01 - 2019-11-30

The organization and execution of timber harvesting in steep terrain is a complex task. When working with cable yarder, a special focus should be given on a careful operation so that damages on residual stands can be avoided as much as possible. Damage on remaining trees is a good indicator for the stability and vitality of a stands, which in turn is an important criteria for the sustainable management of forests. The aim of the study is the adaptation of a model for the forecasting of harvesting damages and the quality assessment of timber harvesting operations.
Research project (§ 26 & § 27)
Duration : 2014-08-28 - 2015-06-30

As a result of global warming increased exceptional floods and extreme heavy precipitation events take place. So the risk of remobilization of deposits increases. Subsequently radioactive heavily contaminated sediments can be mobilized. At LLC-Laboratory Arsenal radioactivity of the danube compartiments: water (dissolved radionuclides), suspended matter and sediment are continuously monitored based on monthly composite samples and event-related samples during floods since 1984. This is a unique Central European radioecological long time series of measurements. The continuation of this sampling and data collection is of great importance to meet future challenges in radiation protection with regard to potential large-scale environmental contamination.
Research project (§ 26 & § 27)
Duration : 2000-07-01 - 2002-12-31

Estimating regeneration establishment is a hampered by the difficulty in collecting regeneration data and random impacts in the occurrence of regeneration. Artificial neural networks represent a computational methodology widely used to uncover the structure of a large variety of data. In general, one may recommend the application of neural networks in areas characterized by noise, poorly understood intrinsic structure and changing characteristics. Each of those characteristics is present in predicting regeneration establishment within uneven aged mixed species stands. In this project we develop a design and estimation procedure to predict regeneration establishment using data from the experimental forest, University of Agriculture in Vienna, Austria. The result of the study should provide us with tools to estimate the number of juvenile trees per unit area, the relative percentage of individuals by tree species and the mean regeneration height needed to initialize existing juvenile tree growth models.

Supervised Theses and Dissertations