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Analysis of Criteria for Delimiting Less Favoured Mountain Areas (LFA)
Author(s) -
Agnieszka Kowalczyk,
A. Kuźniar,
Marek Kostuch
Publication year - 2014
Publication title -
journal of water and land development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.377
H-Index - 16
eISSN - 2083-4535
pISSN - 1429-7426
DOI - 10.2478/jwld-2014-0018
Subject(s) - elevation (ballistics) , agriculture , geography , terrain , altitude (triangle) , land use , boundary (topology) , rural area , agricultural land , sea level , physical geography , cartography , ecology , archaeology , political science , biology , mathematical analysis , law , mathematics , geometry
The objective of this work was to analyse and establish the criteria for the course of the elevation boundaries applied in delimiting of less favoured areas (LFA) under mountain and foothill conditions. This aim was achieved by verifying of the structural data on land use in relation to an altitude a.s.l. Based on the information collected on the areas in the particular land categories, and in order to assess land use, a database was created for 99 mountain communes (NUTS-5). The regulation by the Minister of Agriculture and Rural Development (2009) distinguishes the areas of less favourable farming (LFA, mountain), where over 50% of the agricultural land (AL) is located above an altitude of 500 m a.s.l. Previous studies have shown that the adopted limit of the average elevation for mountain LFA is too restrictive for the Polish conditions and needs correction. This is particularly clear in the case of agricultural land elevated above sea level. Support for rural development is necessary because the economic importance of agriculture in the Polish mountain and foothill regions is decreasing, and these areas are characterized by a considerably limited land use, under conditions of higher production costs. This is to do with terrain elevation a.s.l. and with the presence of large areas of significant land slopes, making it too to use normal equipment

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