Wyniki wyszukiwania

1

The effect of scale-dependent habitat gradients on the structure of bird assemblages in the Czech Republic

100%

Reif J., Storch D., Simova I.

Acta Ornithologica

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2008

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tom 43

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nr 2

197-206

Spatial patterns in bird community structure are closely related to changes in habitat composition at small spatial scales, but the explanatory power of habitat declines towards larger scales, where dispersal limitations and historical factors becoming more important. To disentangle these effects, we performed a large-scale bird census using a small-scale field approach in the Czech Republic. Using canonical correspondence analysis, we found that the strongest scale-independent gradient in bird community composition goes from higher-altitude forest assemblages to lower-altitude farmland and human settlement assemblages. The other gradients were also scale-dependent, probably due to the different distributional patterns of particular habitats at the respective scales. Closer examination of bird occurrence in particular habitats revealed that water bodies host the most distinct bird assemblage compared to the assemblages of other habitats. Interestingly, although the census tracked the most important east-west biogeographical gradient within the Czech bird fauna, we did not find longitude to be a significant predictor of changes in bird community structure along the transect at any resolution. We suggest that the biogeographical gradient is actually related to the habitat-based distinction between the coniferous-forested higher-altitude West and the deciduous-forested lower-altitude agricultural East. Fine-scale bird-habitat associations are thus responsible for the patterns of community structure at all spatial scales.

2

Morphological and karyological relationships within alpine-dinaric populations of the genus Iris L., Pallidae series [A.Kern.] Trinajstic [Iridaceae]

100%

Mitic B., Nikolic T., Liber Z.

Acta Societatis Botanicorum Poloniae

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2001

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tom 70

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nr 3

3

Detection of potential areas of changing climatic conditions at a regional scale until 2100 for Saxony, Germany

84%

Kronenberg R., Franke J., Bernhofer C., Korner P.

Meteorology Hydrology and Water Management. Research and Operational Applications

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2015

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tom 03

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nr 2

Two different approaches are applied for the investigation of possible changes within the climate regime – as an important component of vulnerability – on a regional scale for Saxony, Germany. Therefore data were applied from the output of the statistical climate models WETTREG2010 and WEREX-V for a projected period until 2100. In the first step, rain gauge-based precipitation regions with similar statistics have been classified. The results show that stable regions are mainly located in the Ore Mountains, while regions of higher uncertainty in terms of a climate signal exist particularly between the lowlands and mountains. In the second step, station-based data on precipitation, temperature and climatic water balance were interpolated by the regionalisation service RaKliDa. Model runs which lay closest to the observed data for the period 1968 to 2007 were identified. Therefore, regions of similar climates were classified and compared by means of a Taylor diagram. The derived patterns of the observed data are in good agreement with formerly defined climate regions. In the final step, anomalies of 10 yearlong averages from 2021 until 2090 were calculated and then spatially classified. The classification revealed four complex regions of changing climate conditions. The derived patterns show large differences in the spatial distribution of future precipitation and climatic water balance changes. In contrast, temperature anomalies are almost independent of these patterns and nearly equally distributed.

4

Assessment of water physico-chemical characteristics and statistical evaluation of Narmada Estuarine Region, Gujarat, India

84%

Nirmal Kumar I. J., Basil G., Nirmal Kumar R., Sajish P. R., Shailendra V.

Journal of Water and Land Development

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2012

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nr 16

5

The effects of large borate deposits on groundwater quality

84%

Cicek A., Bakis R., Ugurluoglu A., Kose E., Tokatli C.

Polish Journal of Environmental Studies

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2013

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tom 22

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nr 4

Seydisuyu Basin, which contains very important agricultural areas and boron deposits of Turkey, is located in Eskişehir province. In this paper, the groundwater quality of Seydisuyu Basin was evaluated by using some physiochemical (temperature, conductivity, salinity, and demanded oxygen) and chemical (boron and arsenic) parameters. Groundwater samples were collected seasonally (2011-12) from 14 wells from the Seydisuyu Basin and all of the data obtained experimentally were compared with national and international drinking and usage water standards. Also, cluster analysis (CA) was applied to the results to classify the stations according to the contents of arsenic and boron levels by using the Past package program, factor analysis (FA) was applied to the results to classify the affective factors on groundwater quality, and Pearson Correlation Index was applied to the results to determine the relations of parameters by using the SPSS 17 package program. According to data, arsenic and boron accumulations of wells were higher than the drinking water limits specified by the Turkish Standards Institute (TS266), European Communities (EC), and World Health Organization (WHO) Drinking Water Standards. According to the results of FA, three effective factors that explain 76.36% of the total variance was detected and arsenic-boron contents of groundwater were positively loaded with the second factor, named as “Boron Works and Environmental Factor.” According to results of CA identified by using arsenic and boron accumulations, station 1, which was the closest well to the boron facility, showed the highest distance and lowest similarity with the other stations.

6

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Progress in sensory analysis and consumer studies of food

84%

Barylko-Pikielna N., Matuszewska I.

Polish Journal of Food and Nutrition Sciences

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1996

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tom 05

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nr 4

The review shows recent dynamics and directions of methodological development in multidisciplinary area of sensory analysis of food interfaced with consumer preferences and acceptance measurements. Impact of increasing knowledge of physiology and psychology of sensory perception as well as availability of advanced multivariate statistical techniques for data processing has been stressed. Applicability of the achievements in product development and in implementation of health-promoting diet is discussed.

7

Comparative prediction of stream water total nitrogen from land cover using artificial neural network and multiple linear regression approaches

67%

Amiri B. J., Nakane K.

Polish Journal of Environmental Studies

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2009

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tom 18

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nr 2

151-160

Performance of two data-driven models that were developed using Artificial Neural Networks (ANNs) and Multiple Linear Regression (MLR) approaches were investigated in prediction of Total Nitrogen (TN) concentration in twenty-one river basins in Chugoku district of Japan. Comparison of TN concentration predictions, which were carried out using an ANN-based model and MLR-based model indicated that prediction of the former model (r²=0.94, p<0.01) was more accurate than that of the latter model (r²=0.85, p<0.01). Lack of a sufficient data set that might be considered an obstacle for cross-validating models that are developed was dealt with using a Monte Carlo-based sensitivity analysis of the developed models. This initiative could provide reliable information for judging predictive capacity of the developed models stochastically. Result of sensitivity analysis revealed that predictive capacity of the ANN-based model varied between 0-2 mg/L. Moreover, prediction of the negative outputs was not observed. using the ANN-based model for TN concentration in stream water.

Ograniczanie wyników

The effect of scale-dependent habitat gradients on the structure of bird assemblages in the Czech Republic

Morphological and karyological relationships within alpine-dinaric populations of the genus Iris L., Pallidae series [A.Kern.] Trinajstic [Iridaceae]

Detection of potential areas of changing climatic conditions at a regional scale until 2100 for Saxony, Germany

Assessment of water physico-chemical characteristics and statistical evaluation of Narmada Estuarine Region, Gujarat, India

The effects of large borate deposits on groundwater quality

Progress in sensory analysis and consumer studies of food

Comparative prediction of stream water total nitrogen from land cover using artificial neural network and multiple linear regression approaches