What lessons can we learn from the present economic crisis for the possible future strategies of enterprises - lesson from Hungary and Slovakia

The paper explores the characteristics of the present economic crisis at enterprise level and its comsequences for possible growth after the crisis. The study builds on international experiences concerning recovery from crisis during the previous economic downturns between 1980 and 2002. Survey results in Hungary and Slovakia are presented with special attention to how companies tried to react to the present economic recession. The study analyses the possible consequences of the strategies followed by the Slovakian and Hungarian firms during the crisis period from the point of view of capabilities for utilizing the options for growth when demand will start to increase.

Methods of modeling the future shift of the so called Moesz-line

It is important to the landscape architects to become acquainted with the results of the regional climate models so they can adapt to the warmer and more arid future climate. Modelling the potential distribution area of certain plants, which was the theme of our former research, can be a convenient method to visualize the effects of the climate change. A similar but slightly better method is modelling the Moesz-line, which gives information on distribution and usability of numerous plants simultaneously. Our aim is to display the results on maps and compare the different modelling methods (Line modelling, Distribution modelling, Isotherm modelling). The results are spectacular and meet our expectations: according to two of the three tested methods the Moesz-line will shift from South Slovakia to Central Poland in the next 60 years.

Modeling the future distribution of Mediterranean Pinus species

The potential future distribution of four Mediterranean pines was aimed to be modeled supported by EUFORGEN digital area database (distribution maps), ESRI ArcGIS 10 software’s Spatial Analyst module (modeling environment), PAST (calibration of the model with statistical method), and REMO regional climate model (climatic data). The studied species were Pinus brutia, Pinus halepensis, Pinus pinaster, and Pinus pinea. The climate data were available in a 25 km resolution grid for the reference period (1961-90) and two future periods (2011-40, 2041-70). The climate model was based on the IPCC SRES A1B scenario. The model results show explicit shift of the distributions to the north in case of three of the four studied species. The future (2041-70) climate of Western Hungary seems to be suitable for Pinus pinaster.