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Tab. 1 – Typology <strong>of</strong> <strong>the</strong> <strong>changes</strong> <strong>of</strong> <strong>the</strong> macrostructure <strong>in</strong> CTU <strong>of</strong> Czechia 1990–2000. Macrostructure:agricultural <strong>l<strong>and</strong></strong>, forest areas <strong>and</strong> o<strong>the</strong>r areas (water + built-up + rema<strong>in</strong><strong>in</strong>g).Type CTU number % Size 2000 (ha) %+ + + 141 1.58 54,187.7 0.69+ + – 1,904 21.39 1,500,680.7 19.03+ – + 490 5.50 418,246.8 5.30+ – – 1,234 13.86 905,517.0 11.48– + + 2,543 28.56 2,368,246.6 30.02– + – 905 10.17 946,005.0 12.00– – + 1,686 18.94 1,693,655.3 21.48Total 8,903 100.00 7,886,539.1 100.00Source: Database LUCC Czechia 2001, Charles University <strong>in</strong> PragueTherefore it is important that <strong>the</strong>se pressures are compared with <strong>the</strong> previous<strong>l<strong>and</strong></strong> <strong>use</strong> categories <strong>and</strong> classes.We <strong>use</strong> two methods to do so. The first evaluates <strong>the</strong> <strong>l<strong>and</strong></strong>scape’s macrostructurebased on agricultural <strong>l<strong>and</strong></strong>, forest areas <strong>and</strong> o<strong>the</strong>r areas (water + builtup+ rema<strong>in</strong><strong>in</strong>g) through a simpler form <strong>of</strong> <strong>in</strong>creases <strong>and</strong> decreases <strong>in</strong> areabetween two time <strong>period</strong>s. This allows seven categories <strong>of</strong> <strong>l<strong>and</strong></strong> macrostructuretransition categories to be dist<strong>in</strong>guished (Tab. 1).Compar<strong>in</strong>g <strong>the</strong> development <strong>of</strong> <strong>the</strong> shortest <strong>l<strong>and</strong></strong> <strong>use</strong> change <strong>period</strong>(1990–2000) with <strong>the</strong> preced<strong>in</strong>g <strong>period</strong> (1948–1990) documents a fundamentallydifferent situation. In our op<strong>in</strong>ion a decade is too short a time for significant<strong>l<strong>and</strong></strong> <strong>use</strong> <strong>changes</strong> to occur. What more <strong>the</strong> fundamental change <strong>in</strong>ownership relations when <strong>l<strong>and</strong></strong> was returned to 3.5 million people throughrestitution certa<strong>in</strong>ly <strong>in</strong>fluenced <strong>the</strong> variety <strong>of</strong> <strong>changes</strong> <strong>in</strong> <strong>l<strong>and</strong></strong> <strong>use</strong>. The oldest<strong>period</strong> (1845–1945) was <strong>in</strong>fluenced by <strong>the</strong> fact that <strong>in</strong> more than 60 % <strong>of</strong> CTUs<strong>the</strong>re was forest growth (whe<strong>the</strong>r we count <strong>the</strong> portion <strong>of</strong> CTUs or <strong>the</strong> area <strong>of</strong>units). In only a quarter <strong>of</strong> CTUs did <strong>the</strong> area <strong>of</strong> agricultural <strong>l<strong>and</strong></strong> grow <strong>and</strong> <strong>in</strong>a full 75 % o<strong>the</strong>r areas grew (built-up + water + rema<strong>in</strong><strong>in</strong>g). The second <strong>period</strong>concentrated <strong>the</strong> number <strong>and</strong> area <strong>of</strong> each type to 90 % – i.e. CTUs whereagricultural <strong>l<strong>and</strong></strong> decreased <strong>and</strong> forest <strong>and</strong> o<strong>the</strong>r areas <strong>in</strong>creased. Thus, <strong>the</strong><strong>period</strong> <strong>of</strong> transition with its vary<strong>in</strong>g types <strong>of</strong> <strong>l<strong>and</strong></strong> structure dynamics presentsa specific phase <strong>of</strong> development. Of course we presume that after complet<strong>in</strong>g<strong>the</strong> database <strong>in</strong> January 1, 2010 that <strong>the</strong> transition al development <strong>of</strong> twentyyears will be projected <strong>in</strong> <strong>the</strong> representation <strong>of</strong> two or three types.Table 2 is based on <strong>the</strong> methods <strong>of</strong> Slovene geographers (Gabrovec, Kladnik,Petek 2001) <strong>and</strong> with a certa<strong>in</strong> amount <strong>of</strong> generalization it documentsma<strong>in</strong> <strong>l<strong>and</strong></strong>scape change processes. It is based on simplified <strong>l<strong>and</strong></strong> structure <strong>in</strong>four basic categories: total arable <strong>l<strong>and</strong></strong> + permanent cultures, also permanentgrass<strong>l<strong>and</strong></strong> area (meadows + pastures), forests <strong>and</strong> total built-up <strong>and</strong> rema<strong>in</strong><strong>in</strong>gareas. The largest positive growth <strong>in</strong> area is divided by <strong>the</strong> sum <strong>of</strong> all areagrowth <strong>and</strong> is multiplied by 100. The result<strong>in</strong>g number expresses how <strong>the</strong>most significantly grow<strong>in</strong>g category contributed to total positive <strong>changes</strong>. If<strong>the</strong> portion is larger than 75 % it is a strong process, if it is between 50–74.9 %it is <strong>of</strong> medium <strong>in</strong>tensity, <strong>and</strong> if <strong>the</strong> portion is 25–49.9 % it is weak. Depend<strong>in</strong>gupon which unified category is <strong>in</strong> question we can talk about three levels <strong>of</strong>273

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