Enhanced land use datasets and future scenarios of land change for Slovakia

The presented datasets relate to the research article entitled “Land changes in Slovakia: past processes and future directions” [8]. The datasets include the land use and cover (LUC) maps of Slovakia for the years 2006 and 2012 and maps of five future land use scenarios for 2040 developed along the axes of globalisation vs. regionalisation and low vs. high policy intervention (IPCC). Datasets were produced in raster format by combining thematic maps, outputs of models defining particular LUC sector and statistical data taken from European and national predictions of future land change development.The maps have a spatial resolution of 20 

Enhanced land use datasets and future scenarios of land change for Slovakia

These data represent an output of modelling exercise. The methodology of data processing is described in Pazúr and Bolliger (2017, Data in Brief) and Pazúr and Bolliger (2017, Applied Geography). References: Pazúr and Bolliger (2017). Enhanced land use datasets and future scenarios of land change for Slovakia. Data in Brief. Pazúr and Bolliger (2017). Land changes in Slovakia: past processes and future directions. Applied Geography

Actual vegetation of cultural landscape in northern Slovakia (study area in the Poprad basin)

ABSTRACT This paper reviews actual vegetation of a cultural landscape in northern Slovakia, under High Tatra Mountains National Park -UNESCO Biospere Reserve. We identified amount of types of actual vegetation units based on CORINE Biotopes methodology supplemented with geobotanical research. We noticed many abandoned biotopes in agricultural landscape before used as mown meadows, pastures or arable land. Forest zones on borders of the study area -parts of bigger nature areas appear highly fragmented and their species composition is far from potential natural vegetation. Chosen area should also fill a function of national park's buffer zone, therefore there should be paid more attention for proposals for agricultural landscape structure optimization in the central part of the study area and biodiversity restoration in peripheral forests

The distribution of selected CORINE land cover classes in different natural landscapes in Slovakia :methodological framework and applications

The distribution of selected CORINE land cover classes in different physical conditions was subject to modelling, analysis and evaluation in this article. In three regions with different geo-relief, the occurrence of land cover classes was analysed by using determinants commonly used in land-use models. Using three different modelling frameworks, the importance of methodological design in land-cover modelling was demonstrated. High levels of explanatory power for the factors defined here were found in landscapes of high heterogeneity. Findings derived from the statistical models highlight the importance of landscape disaggregation by natural conditions in complex land-cover or land-use models.455

Analysis of spatial heterogeneity of land cover classes in different natural conditions

The aim of this paper is the analysis of landscape heterogeneity in different natural conditions by identification of the composition and spatial configuration of CORINE land cover classes on the 2nd classification level. The results of the analysis by spatial correlogram and more advanced multi-class indicator and semantic variogram pointed out the limitation of a binary (presence/absence) evaluation. Despite the differences, all approaches revealed that natural conditions determine the occurrence and compositions of land cover classes in different ways.</jats:p

The distribution of selected CORINE land cover classes in different natural landscapes in Slovakia: Methodological framework and applications

The distribution of selected CORINE land cover classes in different physical conditions was subject to modelling, analysis and evaluation in this article. In three regions with different geo-relief, the occurrence of land cover classes was analysed by using determinants commonly used in land-use models. Using three different modelling frameworks, the importance of methodological design in land-cover modelling was demonstrated. High levels of explanatory power for the factors defined here were found in landscapes of high heterogeneity. Findings derived from the statistical models highlight the importance of landscape disaggregation by natural conditions in complex land-cover or land-use models