Simulation model of land cover changes in a post-socialist peripheral rural area: Pozega-Slavonia County, Croatia

被引:20
|
作者
Jogun, Tomislav [1 ]
Lukic, Aleksandar [2 ]
Gasparovic, Mateo [3 ]
机构
[1] Promet & Prostor Doo, Dubovacka 38, Zagreb 10000, Croatia
[2] Sveuciliste Zagrebu, PMF, Geog Odsjek, Marulicev Trg 19-11, Zagreb 10000, Croatia
[3] Sveuciliste Zagrebu, Geodetski Fak, Zavod Kartografiju & Fotogrametriju, Kaciceva 26, Zagreb 10000, Croatia
关键词
artificial neural networks; cellular automata; land use and land cover change; peripheral area; simulation model; MOLUSCE; VALIDATION; CLASSIFICATION; QUANTITY; INPUT;
D O I
10.21861/HGG.2019.81.01.02
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Simulation modelling is a useful method for the explanation and prediction of land use and land cover changes, which are fundamentally interconnected with broader social and natural elements. Significant land cover changes, predominantly land abandonment, occurred in peripheral rural areas across Central and Eastern Europe after the collapse of socialism. One such area is Pozega-Slavonia County in Croatia, for which we modelled land cover changes from 1985 to 2027. The prevailing change from 1985 to 2013 was secondary succession. The simulation model of future land cover changes was based on cellular automata and artificial neural networks, and was implemented in the MOLUSCE plugin for QGIS. Validation of the test models showed that they more successfully predicted the quantity (rather than the location) of the changes, and the post-simulation combination of individual results slightly improved their agreement with reference data. The final model predicted that forests would cover over 60% of the whole area by 2027 if the current negative demographic and economic trends continue into the future.
引用
收藏
页码:31 / 59
页数:29
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