2015
DOI: 10.1016/j.envsci.2014.02.008
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Future land-use change scenarios for the Black Sea catchment

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Cited by 35 publications
(24 citation statements)
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“…Although care must be taken when using scenarios due to limitations on the explanatory power of the driving forces [28,31,34], as well as changes in government legislation and land management that impact land use change. However, scenarios of land use/land cover change offer the possibility to evaluate potential impacts and improve planning [2,5].…”
Section: Discussionmentioning
confidence: 99%
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“…Although care must be taken when using scenarios due to limitations on the explanatory power of the driving forces [28,31,34], as well as changes in government legislation and land management that impact land use change. However, scenarios of land use/land cover change offer the possibility to evaluate potential impacts and improve planning [2,5].…”
Section: Discussionmentioning
confidence: 99%
“…Scenarios of land use/land cover change offer the possibility to project current and alternative future changes and, thus, allowing the mitigation of potential impacts and improve planning [2,5]. They try to replicate the behaviour of past land use/land cover by considering not only the environmental suitability of the land to support specific land use/cover categories, but social and of mountainous territory than the Valais.…”
Section: Introductionmentioning
confidence: 99%
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“…The landuse scenarios were developed for cropland, grassland, forest, and urban areas for the BSC countries, while the input data were derived from the MODIS land cover datasets [22] for the years 2001 and 2008. A full description of the scenario developments and quantitative measures of changes in land cover classes is presented by Mancosu et al [28]. …”
Section: Landuse Scenariosmentioning
confidence: 99%
“…Metronamica is a spatial decision support system based on cellular automata, which allows for the preparation of projections of potential future changes in land use in different scenarios [61,63]. Each scenario can be assessed based on indicators that are calculated from a raster format of the used data [60].…”
Section: Cellular Automata Modellingmentioning
confidence: 99%