Landscape transition after the collapse of communism in Czechia

Kupková, Lucie; Bičı́k, Ivan

doi:10.1080/17445647.2016.1195301

Cited by 22 publications

(18 citation statements)

References 12 publications

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“…Since the 1990s, the main LULC change trends in most post-communist Central European countries are afforestation, grassing over, intensification, and urbanisation. Even though the change of grassland to cropland is not as frequent a transition as it was during the communist era ( Kupková & Bičík, 2016 ), it still elicits a significant impact on the ecosystem. Grassland plays an irreplaceable role as a natural habitat of many organisms, helps with the accumulation of greenhouse gases, prevents erosion, keeps water in the landscape and reduces pollution ( European Union, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data

Klouček

Moravec

Komárek

et al. 2018

PeerJ

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Grassland is one of the most represented, while at the same time, ecologically endangered, land cover categories in the European Union. In view of the global climate change, detecting its change is growing in importance from both an environmental and a socio-economic point of view. A well-recognised tool for Land Use and Land Cover (LULC) Change Detection (CD), including grassland changes, is Remote Sensing (RS). An important aspect affecting the accuracy of change detection is finding the optimal indicators of LULC changes (i.e., variables). Inappropriately selected variables can produce inaccurate results burdened with a number of uncertainties. The aim of our study is to find the most suitable variables for the detection of grassland to cropland change, based on a pair of high resolution images acquired by the Landsat 8 satellite and from the vector database Land Parcel Identification System (LPIS). In total, 59 variables were used to create models using Generalised Linear Models (GLM), the quality of which was verified through multi-temporal object-based change detection. Satisfactory accuracy for the detection of grassland to cropland change was achieved using all of the statistically identified models. However, a three-variable model can be recommended for practical use, namely by combining the Normalised Difference Vegetation Index (NDVI), Wetness and Fifth components of Tasselled Cap. Increasing number of variables did not significantly improve the accuracy of detection, but rather complicated the interpretation of the results and was less accurate than detection based on the original Landsat 8 images. The results obtained using these three variables are applicable in landscape management, agriculture, subsidy policy, or in updating existing LULC databases. Further research implementing these variables in combination with spatial data obtained by other RS techniques is needed.

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Section: Introductionmentioning

confidence: 99%

Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data

Klouček

Moravec

Komárek

et al. 2018

PeerJ

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“…The collapse of communism and later entry of Central/Eastern European countries to the European Union (EU) caused many political, economic and social changes which initiated new trends of land use/land cover changes influencing landscape transition [89]. Political changes triggered new economic interests that greatly affected the cities' structure, and the restitution of private property and democratisation of political life proved significant driving forces in most post-communist countries in the 1990s [31].…”

Section: Broader Context Of Socio-economic Development Policy and Rementioning

confidence: 99%

Long-Term Land Use Changes Driven by Urbanisation and Their Environmental Effects (Example of Trnava City, Slovakia)

2017

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Similar to other post-communist countries, Slovakia has undergone significant changes in the last decades-largely through transformation of central planning into a market economy. Unfortunately, this process has been associated with increasing pressure on surrounding ecosystems and their individual components. These changes are subject to various influences, e.g., socio-economic, political and environmental; in addition, urbanisation has also had great influence. This is typified by conversion of productive agricultural land and semi-natural ecosystems into built-up area accompanied by the negative ecological impacts of habitat deterioration and fragmentation. The rapidly changing consumption patterns of luxury living, transportation and leisure have increased the negative consequences on ecosystems and these compound the negative environmental trends. This paper evaluates land use changes in Trnava, which is one of the most rapidly developing cities in Slovakia. Evaluation covers 1838-2015, with explicit emphasis on transformation over the last 25-30 years. We present comparison with developments since 1990 in other cities in Slovakia, the Czech Republic and Germany and then discuss the main processes and environmental problems related to these changes, concentrating on the sustainability of current trends and appropriate planning and management responses.

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“…In general, this work tends to supplement the previous studies on rural land-use changes by simultaneously surveying rural settlement expansion and loss in an undeveloped area over a long period of about 20 years. Currently, rural land-use/land-cover change (LULCC) is widespread globally and the associated impacts have been increasingly reported in other regions except China [35][36][37][38][39][40][41][42]. This study could provide some knowledge for studying rural land dynamics for the sustainable management of rural land resources.…”

Section: Introductionmentioning

confidence: 91%

“…LULCC in rural regions occurred globally under the influence of rapid socio-economic development and political changes [35,42]. Many issues have been caused along with LULCC including the abandonment of pastures and croplands [35,40], changes of rural tourism resources and landscapes [36][37][38], and the associated environment impacts of rural LULCC [39,41]. The methodology used in this study can be employed to examine rural LULCC in other territorial contexts for sustainable rural land management.…”

Section: Implications and Future Developmentmentioning

confidence: 99%

Quantifying the Spatio-Temporal Dynamics of Rural Settlements and the Associated Impacts on Land Use in an Undeveloped Area of China

Wang

Zhang

2018

Sustainability

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Rapid urbanization and economic growth in China have accelerated changes in rural settlements and associated land-use types that are expected to alter ecological services and the environment. Relevant studies of the dynamics of rural settlements and corresponding rural land-use changes are in short supply, however, especially in undeveloped areas in China. This study, therefore, investigated the spatio-temporal dynamics of rural settlements and their impacts on other land-use types by using 30 m rural settlement status and dynamic maps from the end of the 1980s to 2010. These maps were generated by visual interpretation with strict product quality control and accuracy. Henan province was selected as a case study of undeveloped regions in China. We examined in particular how the expansion of rural settlements affected cultivated lands and the processes of rural settlement urbanization. This study looked at three periods: the end of the 1980s-2000, 2000-2010, and the end of the 1980s-2010, with two spatial scales of province and prefecture city. Major findings about the rural settlements in Henan from the end of the 1980s to 2010 include (1) the area of rural settlements grew continuously, although the increasing trend slowed; (2) the expansion of rural settlements showed a negative trend contrary to the trend of the urbanization of rural settlements; (3) rural settlement expansion occupied considerable expanse of cultivated lands, which accounted for up to 96% of the total expansion lands; (4) urbanization of rural settlements was the main mode by which rural residential lands vanished, accounting for more than 98% of the lost lands. This study can provide suggestions for the conservation and sustainability of the rural environment and inform reasonable policies on rural development.

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Landscape transition after the collapse of communism in Czechia

Cited by 22 publications

References 12 publications

Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data

Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data

Long-Term Land Use Changes Driven by Urbanisation and Their Environmental Effects (Example of Trnava City, Slovakia)

Quantifying the Spatio-Temporal Dynamics of Rural Settlements and the Associated Impacts on Land Use in an Undeveloped Area of China

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