2020.16.2.4-14
Boris Pálka, Jarmila Makovníková, Miloš Širáň
PRIESTOROVÁ VIZUALIZÁCIA POTENCIÁLU AGROEKOSYSTÉMOVÝCH SLUŽIEB NA SLOVENSKU
SPATIAL VISUALIZATION OF THE AGROECOSYSTEM SERVICES POTENTIAL IN SLOVAKIA
DOI: https://doi.org/10.24040/GR.2020.16.2.4-14
CITATION: Pálka, B., Makovníková, J., Širáň, M. 2020. Priestorová vizualizácia potenciálu agroekosystémových služieb na Slovensku. Geografická Revue. [online]. Banská Bystrica, 2020, 16 (2), 4-14 [cit. 2021-01-18]. Dostupné na: https://doi.org/10.24040/GR.2020.16.1.4-14
Abstract:
For the purpose of analysis and evaluation of agroecosystem services potential (AESS), we have created spatial units based on biophysical data in combination with land use data. The selection of biophysical data was based on the intersection of indicators that repeatedly enter into the evaluation of individual agroecosystem services. The basic spatial unit for the representation of combination geographic data is a raster grid with a resolution of 100 x 100 m. The functional unit is a specific category of combination of land cover and land use. We generated a layer for mapping and subsequent quantification of agroecosystem services potential by a combination of four input layers - relief slope, climatic units, soil texture and land type. The resulting layer of aggregated units is processed at the national level for the entire territory of the Slovak Republic using methods and tools offered by geographic information systems (GIS). In terms of content, it is possible to connect the created mapping units to the internationally used land cover database - Corine Land Cover. Within each created spatial unit, we calculated the weighted average of the values of the total potential of the agroecosystem service. Modeling of agroecosystem services combined with spatial visualization allows to optimize the management of agroecosystems and thus support the synergy between the functioning of ecosystems and the social dynamics of the area.
Keywords: agroecosystem services, spatial units, GIS, modelling, agricultural land potential