Future land use/cover changes in Romania: regional simulations based on CLUE-S model and CORINE land cover database

Kucsicsa, Gheorghe; Popovici, Elena-Ana; Bălteanu, Dan; Grigorescu, Ines; Dumitrașcu, Monica; Mitrică, Bianca

doi:10.1007/s11355-018-0362-1

Cited by 94 publications

(47 citation statements)

References 48 publications

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“…After 1990, during the post-communist period, Romania passed through complex social, economic and political transformations which led to radical background changes within some important fields such as land property and agricultural land exploitation. Some of these transformations were investigated at global [1], European [2] and national levels using Corine Land Cover (CLC) datasets [3][4][5]. The CLC project largely fulfills the expectations of researchers and other users [6], having two main advantages: it provides a seamless geometry usable for macro-regional studies and an internal classification of the land use/cover categories that allows time traceability of changes, for a reasonable period .…”

Section: Introductionmentioning

confidence: 99%

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

et al. 2020

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During the last 30 years, the Romanian economy has faced different challenges due to structural readjustments, overcoming crisis and globalization. The share of primary and secondary sectors in the gross domestic product have strongly decreased, while the services have taken off. The main objective for this study is to observe how these economic readjustments can be assessed and measured using the Corine Land Cover datasets from 1990, 2000, 2006, 2012 and 2018 (with special observation on the range 2006 and 2018, after Romania was included in European Union). Despite some of the methodological limitations (like the minimum surface change), the Corine Land Cover turned out to be a powerful tool and it allowed us to detect an intense correlation between the socioeconomic and the structural trends in land use, in specific spatial contexts. The artificial surfaces are constantly increasing and this trend is rather visible as a distance function to the major Romanian cities. The most interesting changes occurred in the case of the agricultural polygons. The main trend emphasized by our analysis regards the redeployment of large farms in areas of agronomic and environmental territorial optimum. Such is the case for vineyards (after a decline during 2000–2006) and for annual cultures. All these changes in land-use patterns are too complex to be encompassed by a single methodology, which is why we used different tools, ranging from spatial analysis to geo-economic modeling, in order to detect how the Corine Land Cover datasets might be used for a better understanding of the Romanian economic readjustments.

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Section: Introductionmentioning

confidence: 99%

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

et al. 2020

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“…Heterogeneous agricultural areas with complex cultivation patterns and with land principally occupied by agriculture, with significant areas of natural vegetation, have been found to be decreasing in area in many European countries over the last decades, with no differences found between the former Eastern Bloc countries or Mediterranean ones [50]. Farmers face very restricted marketing opportunities, and some local farmers are found in an economic deadlock of relying on common agricultural policy (CAP) subsidies as a main source of income [51].…”

Section: Discussionmentioning

confidence: 99%

The Role of Small Farm Activities for the Sustainable Management of Agricultural Landscapes: Case Studies from Europe

Slámová

Belčáková

2019

Sustainability

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In Europe, a broad variety of agricultural landscape types have originated as a result of traditional farming activities and landscape diversity maintenance over centuries. The rapid development of socio-economic activities during the twentieth century caused significant loss of traditional rural landscapes. Traditional/historical European agricultural landscape types (EALs) represent a type of cultural landscape with many specific unique cultural, historical, and biodiversity patterns. Despite their high value, maintenance in practice is lacking. European farmers and landowners need to learn how to implement innovative multifunctional farming techniques within these landscapes. An online interactive educational tool of the ERASMUS+ FEAL project (FEAL: multifunctional Farming for the sustainability of European Agricultural Landscapes) deals with these topics. Case studies from the FEAL project showed the best examples of sustainable agricultural management practices in different types of EALs. The aim of this article was to evaluate case studies within coordination of information on the environment (CORINE) Land Cover (CLC) 2012 classes representing traditional land use forms, nature and landscape protection areas, and ecologically important areas, as well as High Nature Value (HNV) farmland. Results based on 28 case studies from five European countries interpreted the positive external effects of farms on values of EALs. A prevailing number of farms exhibited a coincidence between CLC 2012 classes with traditional land use forms and HNV farmland and protected areas. Regarding land cover classes with traditional land use forms, key words selected by farmers gave importance to recreation and tourism, furthering of biodiversity, direct sale, social farming, renewable energy, and traditional building. The highest frequencies of the key words were achieved in CLC 2012 classes concerning (to some degree) natural and semi-natural ecosystems.

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“…These were based on satellite images of a certain resolution. Therefore, these data, although generalized to objects with a minimum area of 25 ha (minimum width of 100 m), are a reliable source of information, used in academia for many analyses [22][23][24].…”

Section: Land Use Reference Datamentioning

confidence: 99%

Analysis of Land-Use Change between 2012–2018 in Europe in Terms of Sustainable Development

Gibas

Majorek

2020

Land

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This article presents methodology of land use change assessment in the context of sustainable development and the results of its application based on the transformations that occurred in individual areas of Europe in the years 2012–2018. This method is based on data from the CORINE (CO-oRdination of INformation on Environment) Land Cover program) and local government units presenting the degree of urbanization (DEGURBA). The transformations taking place in space were evaluated and reduced to economic, social, and environmental dimensions. We then analyzed the results in terms of space (covering almost all of Europe) and in terms of division (large cities, small towns, suburbs, and rural areas). Results indicate that development of the economic dimension most often takes place at the expense of natural resources. It was also determined that the higher the population density, the greater the sustainable development differentiation level in the analyzed dimensions, of which the social dimension was characterized by the lowest differentiation and the economic dimension was highest. The development of rural areas was found to be less sustainable than large urban centers. Interpretation of the results also leads to the conclusion that areas of Europe are very diverse in terms of sustainable development. However, the method itself, despite the imperfections observed by the authors, may be used in further or similar studies.

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Future land use/cover changes in Romania: regional simulations based on CLUE-S model and CORINE land cover database

Cited by 94 publications

References 48 publications

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets

The Role of Small Farm Activities for the Sustainable Management of Agricultural Landscapes: Case Studies from Europe

Analysis of Land-Use Change between 2012–2018 in Europe in Terms of Sustainable Development

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