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The aim of this research was to present the land cover structure and landscape diversity in the West Polesie Biosphere Reserve. The land cover classification was performed using Object Based Image Analysis in Trimble eCognition Developer 8 software. The retrospective land cover changes analysis in 3 lake catchments (Kleszczów, Moszne, Białe Włodawskie Lakes)was performed on the basis of archival aerial photos taken in 1952, 1971, 1984, 1992, 2007 and one satellite scene from 2003 (IKONOS).On the basis of land cover map structure, Shannon diversity index was estimated with the moving window approach enabled in Fragstats software. The conducted research has shown that the land cover structure of the West Polesie Biosphere Reserve is diverse and can be simply described by selected landscape metrics. The highest level of land cover diversity, as showed by Shannon Diversity Index, was identified in the western part of the West Polesie Biosphere Reserve, which is closely related to the agricultural character of land cover structure in those regions. The examples of three regional retrospective land cover analyses demonstrated that the character of land cover structure has changed dramatically over the last 40 years.
This study analyzes the evaluation of land cover supervised classification quality. Authors put forward the hypothesis that the overall accuracy of image classification depends on its division into parts of the same area. The dependence is described by the logarithmic curve – Т = 4.3004·ln(x) + 72.697, because the determination coefficient is maximum (R2 = 0.9678). The research area was the Yuntolovo reserve, the protected area near St. Petersburg (Russia). In order to increase the overall accuracy of the land cover automatic classification based on aerial images, a new methodology of data preprocessing was introduced. The proposed method of estimating the overall classification accuracy of land cover protected areas increases on average by 10% by dividing the source aerial image into no more than 10 equal parts. With further partitioning of the image into parts of the same area, the overall accuracy is slightly increased. Pixel-based image analysis of supervised classification and error matrix were evaluated using ILWIS 3.31 software and in our own software in .NET environment.
This article describes the changes in the land cover and management of floodplains in towns located on Poland’s Oder River, estimates flood risk and how it has been changing in these towns, and how these changes have affected the environment. The paper also includes an analysis of trends in floodplain management defined in local planning documents. The research was conducted for the period of 1995-2010 and included two towns: Kostrzyn on the Oder and Krosno Odrzańskie. The former lies in the lower course of the Oder and the latter in its middle section. The research indicates that flood risk has risen due to the continuous development of urbanized areas (both unbuilt and built-up) that used to be exploited as arable land. That had a negative effect on the environment, as well.
Land Use and Land Cover (LULC) maps play an important role in an environmental modelling, and for many years efforts have been made to improve and streamline the expensive mapping process. The aim of the study was to create LULC maps of three selected water catchment areas in South Poland using a Geographic Object-Based Image Analysis (GEOBIA) in order to highlight the advantages of this innovative, semi-automatic method of image analysis. The classification workflow included: multi-stage and multi-scale analyses based on a data fusion approach. Input data consisted mainly of BlackBridge (RapidEye) high resolution satellite imagery, although for distinguishing particular LULC classes, additional satellite images (LANDSAT TM5) and GIS-vector data were used. Accuracy assessment of GEOBIA classification results varied from 0.83 to 0.87 (Kappa), depending on the specific catchment area. The main recognized advantages of GEOBIA in the case study were: performing of multi-stage and multi-scale image classification using different features for specific LULC classes and the ability to using knowledge-based classification in conjunction with the data fusion approach in an efficient and reliable manner.
The basin of the Służewiecki Stream, hydrologically uncontrolled, is urbanised, but it has a mosaic-like character, consisting of urban and agricultural land use. This is shown by the graph of the basin and its subcatchments that takes into account the changes of the runoff coefficient in its subcatchments. The land cover changes in 1993–2002 and the forecast for the years until 2012, together with the calculated rainfall hyetograph are input elements to the rainfall-runoff model. The isochrone method with the Kirpich equation constitute the transforming function, and the runoff hyetographs are the output elements from the system. The paper presents also practical problems occurring in the implementation of the recommendations of the local spatial plan as well as consequences resulting from disregarding the recommendations.
The structure of bird assemblages recorded in breeding and wintering period in a Mediterranean wetland of Central Italy was studied in order to evaluate their seasonal changes and the influence of land cover on their parameters. We identified three habitat macro-types, according to a man-disturbed gradient (from natural to man-made macro-types). Bird assemblages showed differences in relation to season and habitat type, either at quantitative (species richness, diversity index) or qualitative level (species composition and turnover, similarity). In winter, we obtained the higher values of mean species richness, Margalef richness, Shannon diversity, and β-diversity. The dendrogram of similarity showed a major clear-cut division between seasons, and a secondary division among habitat macro-types. In winter, assemblages were more rich and diverse, with a high turnover among point counts. The semi-natural habitat macro-types showed always the higher values of these indexes, with the exception of the β-diversity, which showed the highest value in winter but the lowest in the breeding period. The high mean values of richness (α-diversity) of the semi-natural habitat macro-types, especially in the breeding period could be mainly explained by the ‘intermediate disturbance hypothesis’; on the contrary, differences in turn-over (β-diversity) between the seasons are mainly due to seasonal changes in habitat heterogeneity of this habitat macro-type (from an arid homogeneous pasture to a patchy flooded one). A pattern of intermediate disturbance was evident at mean species richness level (significant values) but not at diversity index level (not significant values). These results could imply specific strategies for the management of small wetlands, focused on maintaining a regime of natural (flooding) and man-made (grazing) disturbances.
The European wild rabbit Oryctolagus cuniculus (Linnaeus, 1758) populations in the Iberian Peninsula has suffered a serious decline. Therefore, the knowledge about the factors that influence rabbit distribution and abundance is of major interest for conservation and management programmes. Rabbit relative abundance was evaluated by pellet counting in relation to herbaceous ground cover, shelter availability (tall scrub cover and gaps in rocks) and land cover structure in the Peneda-Gerês National Park (PGNP), NW Portugal. Rabbit abundance was higher at intermediate levels of herbaceous cover, but no significant statistical differences were detected. A strong association between the abundance index and tall scrub cover was verified, and when this cover was rare, an association with gaps in rocks was observed. At the land cover level, rabbit abundance was associated with high interspersion sites of rocks with matorral and high interspersion sites of tall scrubland. Evidence from this study highlighted the importance of shelter and the interspersion of open/shelter habitats for rabbits. This pattern could be interpreted as an anti-predator strategy. Therefore, management actions should favour the growing and establishing of tall scrub patches and the selective cutting in highly continuous areas of tall scrub vegetation.
The aim of the study was to identify landscape properties which are responsible for the large differences in White Stork population densities occurring in an agricultural landscape. The study area covered six plots (308– 1218 km²) in Brandenburg (Germany). They differed in respect to proportions of main landscape components (grasslands, crop fields, woodlands, parks and gardens, built-up areas), to degree of fragmentation of grasslands and crop fields and to proportions of different grassland types (moist meadows, slightly moist pasturelands, dry grasslands, persistent nitrophilous ruderal communities, herbaceous perennials and intensively used sown grassland). The correlation coefficients between the Stork density and proportions of main landscape components were small (|rs |<0.7) and insignificant (P>0.15) but the Stork density was positively related to proportion of intensively used sown grasslands. However, the greatest part of variation in Stork density could be explained by the fragmentation of grasslands and crop fields. Stork density was positively correlated with density of crop field patches as well as with grassland edge density. The spatial distribution of these patches was not important. Our results suggest that at a moderate proportion (ca. 10%) of grasslands, composition and high fragmentation of these habitats are vital for white storks.
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This paper presents pedological research in Žutica forest in northern Croatia. The most common soil types found in this area belong to the hydromorphic class (Pseudogley, pseudo- gley-gley, eugley, fluvisol) except technogenic soils formed as a result of intensive oil exploitation. Some main chemical and physical characteristics of soils are given. For forest productivity the most productive combination of soils are hypogley and pseudogley-gleysol and minimal productivity is in heavy amphygleic soils. An increase of heavy metals occurs in flooded soils in Žutica from nearby agricultural land. A high concentration of active phosphorus,and nitrogen can verify the influence of field fertilisers on the forest. Levels of cadmium found in technogenic soils exceed the permitted concentration. A large amount of CaCO3 in relation to natural forest soils can be found in technogenic soils because of quick lime disposal after oil spills and also pH increase and a nutrition and humus decrease.
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