Land use and land cover changes in post-socialist countries: Some observations from Hungary and Poland

Cegielska, Katarzyna; Noszczyk, Tomasz; Kukulska, Anita; Szylar, Marta; Hernik, Józef; Dixon-Gough, R. W.; Jombach, Sándor; Valánszki, István; Kovács, Krisztina Filepné

doi:10.1016/j.landusepol.2018.06.017

Cited by 150 publications

(94 citation statements)

References 79 publications

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“…Once all the layers were projected, the polygon's surface was recalculated and three basic geometries were obtained: the CLC Dataset for 2006 (Romania), the CLC Dataset for 2018 (Romania) and the Romanian LAU2 geometry. Despite the fact that the use of the CLC data integrated in a LAU2 frame is quite spread, many precautions are necessary at this level of analysis, if one will take into account aspects like the Minimum Mapping Unit (MMU = 25 ha/100 m), the possible Modifiable Areal Unit Problem (MAUP) effect in the local data integration of land use and local trends of economic specialization [29]. In some cases, when combined, these effects create interpretation artifacts: in 2018, 14 LAU2 from 3186 in Romania are completely missing the category CLC112 (discontinuous urban fabric).…”

Section: Datasets and Methodsmentioning

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: Datasets and Methodsmentioning

confidence: 99%

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

et al. 2020

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“…The paper employs statistical methods to determine land use trends, the ArcGIS grid calculator was used to calculate the spatial variation characteristics of land use, and the spatial transfer matrix was calculated using the ArcGIS overlay analysis function [39,40].…”

Section: Calculation Of Land Use Cover Changementioning

confidence: 99%

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

Zhao

Wang

et al. 2018

Sustainability

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An analysis of land use/cover change (LUCC) on the Loess Plateau over the past 30 years and its environmental effects was performed to provide scientific guidance for a sustainable development policy for the regional ecological environment and social economy. Geostatistical and trend analyses are used to study the LUCC characteristics, driving forces and environmental effects, and the relationship between LUCC and regional sustainable development is explored. The following results were obtained: (1) Overall, the land use structure has not changed, with grassland, farmland, and forest land remaining dominant; however, the vegetation coverage has significantly increased, especially in the central area.(2) LUCC is affected by climate change and human activities, with greater climate change impacts in the northwest than the southeast and greater among which human-induced impacts on the hilly/gully region in the central part. (3) LUCC will produce long-term ecological and environmental processes, such as surface runoff, soil erosion, soil moisture and carbon cycling. Vegetation restoration has both negative and positive effects on the regional ecological environment. Vegetation productivity on the Loess Plateau has approached the water resource carrying capacity threshold. Therefore, improving artificial vegetation stability and promoting the water resources balance have become the main strategies for promoting sustainable development on the Loess Plateau.

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“…Owners of farms split their farms into smaller plots, mainly due to the process of transferring land to their heirs. The problem associated with excessive fragmentation of land refers to Mexico [4], India [5], Central Europe [6,7], China [8], Cyprus [9] Bulgaria [10], Turkey [11], Spain [12,13], Czech Republic [14], Hungary [15], Poland [16], The Netherlands [17], and Albania [18]. Another reason that land fragmentation occurred in Central and Eastern Europe after the fall of Communism in the 1990s was due to the process of contribution to building a full-featured real property cadastre [35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Method of Delimiting the Spatial Structure of Villages for the Purposes of Land Consolidation and Exchange

Stręk

Noga

2019

Remote Sensing

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Land fragmentation and the distribution of plots in rural areas has a negative effect on the profitability and efficiency of agricultural production. Land consolidation and exchange is an operation that facilitates improvements in the spatial structure, while at the same time contributing to the sustainable development of rural areas. With regard to the large number of problem areas, they cannot be subject to land consolidation and exchange at the same time for reasons related to finance and human resources. Therefore, the authors propose that land for consolidation should be consolidated into larger typological units. Identifying those areas that are most similar facilitates the analysis and makes it possible to capture the spatial differentiation of land. The proposed method was tested on 116 villages in the county of Łęczna, situated in Lublin Voivodeship in Eastern Poland. The aim of this research is to develop the concept of village grouping into larger typological units. The obtained results allowed for the creation of a grouping methodology based on selected diagnostic variables that can be applied to other research objects. The description of differences between the identified groups of villages makes it possible to determine the hierarchy of urgency of for land consolidation and exchange. Although delimitation itself does not determine the sequence in which consolidation should be performed, it does allow for the identification of similar areas where such works should be performed at the same time. Based on properly selected guidelines, it is also possible to develop an adequate hierarchy of works. In addition, identifying areas which share similar spatial characteristics and consolidating them has a positive influence, primarily on the cultural heritage, because some variables reflect both quantitative and qualitative aspects of human development on the use of land and on the built-up environment.privatisation. Another negative factor resulting in negative spatial structure is the distribution of plots. In world literature, both fragmentation and the distribution of land is referred to as 'land fragmentation'. The authors distinguish four types of land fragmentation, depending on the number of owners using the specific piece of land, the form of ownership or title, the type of use, and the geometric structure of plots [6,9]. Along with the increase in the number of arable plots and their distance from the farmer's settlement, the cost of production increases and the farmer's income decreases [19][20][21][22][23]. The fragmentation of the land of individual farms is a huge problem that is a barrier to its development, modernization, and has the effect of the lowering the profitability obtained from production farming.A land surveying tool used for improving the arrangement of land is the operation of consolidation and the exchange of land which exists in Poland and in the world, for example, in such countries as the Netherlands [17], Cyprus [9], Slovakia [24] Czech Republic [25], China [26], Finland [27]...

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Land use and land cover changes in post-socialist countries: Some observations from Hungary and Poland

Cited by 150 publications

References 79 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

Vegetation Restoration and Its Environmental Effects on the Loess Plateau

Method of Delimiting the Spatial Structure of Villages for the Purposes of Land Consolidation and Exchange

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