The composition and configuration of landscape elements as well as their size and shape co-determine the character of the flows and processes in the landscape. Using remote sensing data and landscape metrics, this article sets out to analyse changes in the landscape structure at two different spatial scales, focusing on two study areas in the Czech Republic in the latter half of the twentieth century.
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Showing items 1 through 9 of 11.-
Library ResourceJournal Articles & BooksDecember, 2012Czech Republic
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Library ResourceJournal Articles & BooksDecember, 2015Norway, Czech Republic
Intensive forest management is one of the main land cover changes over the last century in Central Europe, resulting in forest monoculture. It has been proposed that these monoculture stands impact hydrological processes, water yield, water quality and ecosystem services.
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Library ResourceJournal Articles & BooksDecember, 2012Eastern Europe
To assess future interactions between the environment and human well-being, spatially explicit ecosystem service models are needed. Currently available models mainly focus on provisioning services and do not distinguish changes in the functioning of the ecosystem (Ecosystem Functions – ESFs) and human use of such functions (Ecosystem Services – ESSs). This limits the insight on the impact of global change on human well-being. We present a set of models for assessing ESFs and ESSs.
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Library ResourceJournal Articles & BooksDecember, 2012Asia, Central Asia, Uzbekistan, China, Vietnam, Armenia, Eastern Europe, Moldova, Russia
During the past two decades agrarian (‘land and farm’) reforms have been widespread in the transition economies of Eastern Europe, the Caucasus and Central Asia (EECCA), following earlier ones in Asia (China and Vietnam). However, independent family farms did not become the predominant sector in most of Eastern Europe. A new dual (or bi-modal) agrarian structure emerged, consisting of large farm enterprises (with much less social functions than they had before), and very small peasant farms or subsidiary plots.
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Library ResourceJournal Articles & BooksDecember, 2011Russia
Despite being recognized as a key baseline dataset for many applications, especially those relating to biogeochemical cycles, land cover products in their current form are limiting. Typically they lack the thematic detail necessary for driving the models that depend upon them. This study has demonstrated the ability to produce a highly detailed (both spatially and thematically) land cover/land use dataset over Russia – by combining existing datasets into a hybrid information system.
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Library ResourceJournal Articles & BooksDecember, 2015Czech Republic
Capsule Differences in arable land-use intensity and land use changes in lowland and higher-altitude regions of the Czech Republic affected long-term population trends of farmland birds. Aims To describe changes in arable land-use intensity and land use in lowlands and at higher altitudes from 1982 to 2000 focusing on changes around 1990 when agricultural intensity declined and to test how these changes affected farmland bird populations.
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Library ResourceJournal Articles & BooksDecember, 2015Czech Republic
The impacts of changes in water temperature and flow on selected water quality parameters, as one of the consequences of climate change, were studied in river catchments in the Czech Republic with little anthropogenic influence. The impact of climate change was manifested by an increase in stream temperature by 1.15°C over 28 years. The selected water quality parameters were dependent on flow, with up to 10-fold increases in the concentrations of ammonia, phosphorus and chlorophyll- a at minimum flow levels.
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Library ResourceJournal Articles & BooksDecember, 2013Hungary
Pixel-based and object-oriented processing of Chinese HJ-1-A satellite imagery (resolution 30 m) acquired on 23 July 2009 were utilized for classification of a study area in Budapest, Hungary. The pixel-based method (maximum likelihood classifier for pixel-level method (MLCPL)) and two object-oriented methods (maximum likelihood classifier for object-level method (MLCOL) and a hybrid method combining image segmentation with the use of a maximum likelihood classifier at the pixel level (MLCPL)) were compared. An extension of the watershed segmentation method was used in this article.
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Library ResourceJournal Articles & BooksDecember, 2011Hungary
Soil nutrient status is one of the most important constituents of land productivity. The research presented in this article is aimed at describing the influence of nitrogen, phosphorous, and potassium availability on crop yields across the major soil types of Hungary, under different climatic conditions. For this purpose, historical times series data from a 5-year period (1985–1989) regarding soil, land management, and crop yield of more than 80,000 fields, representing approximately 4 million ha of arable land, were statistically analyzed.
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Library ResourceJournal Articles & BooksDecember, 2011Czech Republic
Most localities of the critically endangered species Gagea bohemica (early star-of-Bethlehem) known in the Czech Republic were surveyed using the Braun-Blanquet approach. Based on formal definitions of the expert system for Czech non-forest vegetation, 69% of the 255 samples analysed were classified as already described pioneer plant communities on shallow soils. Samples unsorted by the expert system exhibit local or transient species composition.
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