No (227)
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Comparison of forestry reclamation and spontaneous succession from plant diversity, production, and economic perspectives
Cudlín, Ondřej; Faigl, T.; Plch, Radek; Cudlín, Pavel
2015 - English
The aim of our study was to determine whether the values of plant community diversity, the volume of wood, and the partial economic efficiency of plots left to spontaneous succession have yet reached similar values as those recorded on forestry reclaimed plots. Six forestry reclaimed plots and six plots with spontaneous succession were established at the Great Podkrušnohorská spoil heap and selected tree biometric characteristics were measured. Plots’ economic efficiency was calculated as the difference between the costs to level the spoil heap as well as establish and manage the forest reclamation and the theoretical profit from wood. The numbers of tree species, numbers of individuals, wood volume, and Simpson diversity index values did not differ significantly between plots with spontaneous succession and reclaimed plots. The economic efficiencies of both types of plots were too burdened with high initial investments for levelling, which can theoretically be returned within 300 years for reclamation plots and 180 years for succession plots. According to our results and those of some other authors, values for diversity and wood production are similar or higher on plots resulting from spontaneous succession in comparison to values on reclaimed plots. For this reason, both types of management should be used to establish a new suitable mosaic of ecosystems in the post-mining landscape.
Keywords:
forestry reclamation; trees; plant diversity; production and economic perspectives
Available at various institutes of the ASCR
Comparison of forestry reclamation and spontaneous succession from plant diversity, production, and economic perspectives
The aim of our study was to determine whether the values of plant community diversity, the volume of wood, and the partial economic efficiency of plots left to spontaneous succession have yet reached ...
Testing a statistical forecasting model of electric energy consumption for two regions in the Czech Republic
Rajdl, Kamil; Farda, Aleš; Štěpánek, Petr; Zahradníček, Pavel
2015 - English
Precise forecasting of electric energy consumption is of great importance for the electric power industry. It helps system operators optimally schedule and control power systems, and even slight improvements in prediction accuracy might yield large savings or profits. For these reasons, many forecasting models based on various principles have been developed and studied. Because of energy consumption’s strong dependence on weather conditions, such models often utilize outputs from numerical weather prediction models. In this study, we present and analyse a statistical model for forecasting hourly electrical energy consumption by customers of E.ON Energie, a.s. in two regions of the Czech Republic. The aim of this model is to create hourly predictions up to several days in advance. The model uses hourly data of consumed energy from 2011–2014 and corresponding predictions of temperature and cloudiness provided by the ALADIN/ CZ model. The statistical model is based on a regression analysis applied to appropriate data samples and supplemented by several optional post-processing methods. Specifically, we use a robust linear regression algorithm to identify energy consumption’s dependence on temperature, the meteorological variable with the largest influence on consumption. Our post-processing methods focused on removing prediction bias resulting from economic situations (represented by the goss domestic product, GDP) and sudden temperature changes. We analysed the presented model from the point of view of the hourly predictions’ accuracy for 2013 and 2014. Accuracy was primarily measured by mean absolute error. It was evaluated for individual months, and the effects of individual parts of the model on accuracy value are shown. Introduction
Keywords:
forecasting model; electric energy; Czech Republic
Available at various institutes of the ASCR
Testing a statistical forecasting model of electric energy consumption for two regions in the Czech Republic
Precise forecasting of electric energy consumption is of great importance for the electric power industry. It helps system operators optimally schedule and control power systems, and even slight ...
Exploring beliefs about climate change and attitudes towards adaptation among Czech citizens
Lorencová, Eliška; Vačkář, David
2015 - English
Climate change currently represents one of the major global environmental problems. In order to respond to these changes, adaptation actions at all levels, from national to local, need to be undertaken (European Commission 2013). Moreover, perceptions of climate change are an important element affecting actual attitudes towards adaptation actions and influencing policy and communication regarding climate change (Lorenzoni et al. 2005). This paper presents the results of a survey on perceptions of climate change, including beliefs about climate change and attitudes towards adaptation, conducted among 1,024 Czech citizens in October 2014. Survey results show that the majority of respondents (78%) agreed with the statement that global climate change is happening. Positive responses about perceptions of climate change were found especially among younger people (18 to 34 years of age). In terms of adaptation measures, 51% of respondents had adopted a variety of individual actions (ranging from water savings to property insurance), discussed in the paper in further detail. Older people (≥ 45 years of age) with higher education preferred rather technical adaptation measures (e.g. flood protection for property, installation of rainwater reservoirs, etc.). The survey represents unique insights into attitudes towards climate change within the Czech Republic which had not previously been investigated to this extent. The results provided can support decision-making regarding adaptation policy, individual adaptation actions, and communication of climate change issues towards general public. Introduction
Keywords:
climate change; global environmental problems; Czech Republic
Available at various institutes of the ASCR
Exploring beliefs about climate change and attitudes towards adaptation among Czech citizens
Climate change currently represents one of the major global environmental problems. In order to respond to these changes, adaptation actions at all levels, from national to local, need to be ...
The effect of drought and nitrogen fertilization on the production, morphometry, and spectral characteristics of winter wheat
Trunda, Petr; Holub, Petr; Klem, Karel
2015 - English
Methods of study based on the spectral reflectance of vegetation are now commonly used in researching both natural ecosystems and field crops.The aims of this experiment were to evaluate the effect of drought and nitrogen (N) fertilization on N use efficiency in winter wheat and use the obtained spectral characteristics to assess stand heterogeneity as a potential consequence of different crop nutrition. Twelve experimental plots of winter wheat were manipulated to drought from 8 May 2013 to 12 June 2013. The effect of drought was observed in two treatments: control without fertilization (N0; 0 kg N ha−1) and N fertilization (N140; 140 kg N ha–1). Plant samples were then taken for determination of above-ground biomass and N content in dry matter. Spectral characteristics of wheat were measured in the earing phase at canopy level. The effect of drought on the morphometric parameters of winter wheat was statistically significant only on N-fertilized plots (N140). Total above-ground biomass decreased by a significant 18% in the N140 treatment as a result of the simulated drought. This decrease was reflected in statistically significant reductions of all individual plant parts (stems, leaves, spikes) in N140. Responses to drought stress were observed in many vegetation indices, particularly in NDVI, GNDVI, and WI/NDVI. The results show there are significant relationships between N content in the grain and vegetation indices. A quite marked separation was observed in the relationships between dry and ambient treatments for vegetation indices NRERI, TCARI/OSAVI, VOG2 and GM. Generally, the impact of drought increased at higher levels of N content in the grain, which corresponded with the results of morphometric analysis. Use of reflectance in the study of vegetation and field crops regarding risk assessment of mineral N leaching from soils has considerable potential especially in mapping large areas and monitoring temporal changes relating to N release.
Keywords:
field crops; natural ecosystem; winter wheat
Available at various institutes of the ASCR
The effect of drought and nitrogen fertilization on the production, morphometry, and spectral characteristics of winter wheat
Methods of study based on the spectral reflectance of vegetation are now commonly used in researching both natural ecosystems and field crops.The aims of this experiment were to evaluate the effect ...
The Bowen Ratio/Energy Balance method and detailed temperature profile measurements to improve data quality control
Pozníková, Gabriela; Fischer, Milan; Orság, Matěj; Trnka, Miroslav; Žalud, Zdeněk
2015 - English
Water plays a key role in the functionality and sustainability of ecosystems. In light of predicted climate change, research should focus on the water cycle and its individual components. The main component of water balance driving water from ecosystems is evapotranspiration (ET). One standard method for measuring ET is the Bowen Ratio/Energy Balance (BREB) method. It is based on the assumption that water vapour and heat are transported by identical eddies with equal efficiency. When using the BREB method, we assume that the profiles of temperature and air humidity are ideally logarithmic or at least consistent. Since the BREB method is usually based on measurements of temperature and humidity at only two heights, it is difficult to verify whether this assumption has been fulfilled. Potential profile inconsistencies are more likely for temperature because the sensible heat flux changes its sign more often and negative latent heat flux is not physically possible during positive sensible heat flux. We therefore conducted a field experiment using a 4-mhigh measurement mast with 20 thermocouples for detailed measurement of air temperature profiles above different covers, e.g. grassland, spring barley, and poplar plantations. Our main objective was to investigate the basic assumptions of the BREB method, i.e. the temperature profile’s consistency under various weather conditions. To be more specific, we aimed to investigate whether inflexion points occurred within the temperature profile and if so when.
Keywords:
temperature; Bowen ratio/energy balance method; data quality control
Available at various institutes of the ASCR
The Bowen Ratio/Energy Balance method and detailed temperature profile measurements to improve data quality control
Water plays a key role in the functionality and sustainability of ecosystems. In light of predicted climate change, research should focus on the water cycle and its individual components. The main ...
Automated eddy covariance data quality control for long-term measurements
Šigut, Ladislav; Mauder, M.; Sedlák, Pavel; Pavelka, Marian; Špunda, Vladimír
2015 - English
Estimation of matter and energy exchange using the eddy covariance method is often organized into regional or global networks. To achieve comparability among sites, it is important to standardize and specify the methodology used. Currently, quality control (QC) is one of the most time-demanding steps in data processing within the Czech Carbon Observation System. Although manual QC (MQC) enables consideration of more complex test applications, it is often difficult to document. The aim of this study was to establish an automated QC (AQC) scheme based on available literature and post-processing software and test its effectivity and reliability on sites comprising an agroecosystem and a mature European beech forest. AQC successfully flagged low-quality CO2 fluxes and provided estimates of net ecosystem productivity similar to estimates based on MQC. The tests’ efficiency was particularly high for the agroecosystem, where AQC removed 13% less data than did MQC. We conclude that the adopted AQC displays satisfactory performance, especially for sites with low canopy heights.
Keywords:
eddy covariance; data quality control
Available at various institutes of the ASCR
Automated eddy covariance data quality control for long-term measurements
Estimation of matter and energy exchange using the eddy covariance method is often organized into regional or global networks. To achieve comparability among sites, it is important to standardize and ...
Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
Szabó-Takács, Beáta; Farda, Aleš; Zahradníček, Pavel; Štěpánek, Petr
2015 - English
We investigate future climate conditions projected by six regional climate model (RCM) simulations driven by the SRES A1B emission scenario. As a diagnostic tool of climate change, we used the Köppen–Geiger climate classification as it is suitable for assessing climate change impacts on ecosystems. The analysis is based on a comparison of Köppen–Geiger climate subtypes during two future time slices (2021–2050 and 2070– 2100) with climate subtypes observed during 1961–2000. All RCMs showed expansion of the area covered by warmer climate types in the future, but the magnitude of the growth varied among RCMs. The differences stemmed from several sources, mainly boundary forcing provided by the driving global circulation models (GCMs) as well as different physical packages, resolution, and natural variability representation in individual GCMs. In general, RCMs driven by the ECHAM5-r3 GCM projected cooler climate conditions than did RCMs driven by the ARPÈGE GCM. This can be explained by two factors related to ECHAM5-r3: i) exaggerated transport of cool and moist air from the North Atlantic to Europe in summer, and ii) winter advection of cold air from the Artic owing to North Atlantic Oscillation blocking pattern alteration during solar minima as well as higher natural variability. RCM-related properties, such as physical package and spatial resolution, may also significantly affect climate predictions, although they do so to a smaller extent than does the driving GCM data.
Keywords:
climate models; climate classification; 21st century
Available at various institutes of the ASCR
Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
We investigate future climate conditions projected by six regional climate model (RCM) simulations driven by the SRES A1B emission scenario. As a diagnostic tool of climate change, we used the ...
Long-term productivity of short rotation coppice under decreased soil water availability
Orság, Matěj; Fischer, Milan; Tripathi, Abishek; Žalud, Zdeněk; Trnka, Miroslav
2015 - English
Wood, in fact, is the unsung hero of the technological revolution that has brought us from a stone and bone culture to our present age (Perlin 1991). Given its high-energy content and versatile use, biomass in the form of wood has been used for energy purposes for millennia. The production and use of woody biomass resources has been expanding around the world. The main drivers of its use as a source of energy are diversification and mitigation of energy related greenhouse gas emissions through partial substitution for fossil fuels. An alternative to sourcing wood biomass from natural forests is short rotation woody coppice. Its productivity is largely dependent on the environment in terms of climatic conditions. Especially drought is the main constraint on woody biomass production and involves serious economic consequences. For that reason, our field experiment was designed to evaluate the impact of decreased soil water availability on productivity of a poplar based short rotation coppice plantation over multiple growing seasons during 2011–2014. Aboveground biomass productivity of treatments with and without throughfall exclusion was assessed within this study. Our results show a systematic decline in the productivity of the plots subjected to decreased soil water availability by 30% in 2011, 20% in 2012, 49% in 2013, and 51% in 2014 compared to control plot. Aboveground biomass productivity ranged from 8.8 to 9.9 t dry matter ha−1 year−1 for the control treatment and 4.5 to 8.0 t dry matter ha−1 year−1 for the treatment with throughfall exclusion.On average, the throughfall exclusion treatment exhibited 47% less productivity than control treatment had over the entire study period.
Keywords:
short rotation coppice; soil water availability
Available at various institutes of the ASCR
Long-term productivity of short rotation coppice under decreased soil water availability
Wood, in fact, is the unsung hero of the technological revolution that has brought us from a stone and bone culture to our present age (Perlin 1991). Given its high-energy content and versatile use, ...
The influence of reduced precipitation supply on spring barley yields and the ability of crop growth models to simulate drought stress
Pohanková, Eva; Orság, Matěj; Hlavinka, Petr
2015 - English
This paper evaluates the first year (2014) of results from a field experiment with spring barley (cultivar Bojos) under reduced precipitation supply. The field experiment was carried out at an experimental station in the Czech Republic and consisted of small plots in two variants and three repetitions. The first variant was uncovered, and the second was partly covered to exclude rain throughout the entire vegetation season. For plots’ partial covering, a material was used to divert rainwater away from 70% of the plots. The main aim was to determine whether there are any differences in soil water content or in grain yield size between uncovered and partly covered plots and to compare the results obtained. Data measured in this field experiment were used to compare simulations of this field experiment in the DAISY crop growth model. Subsequently, the crop growth model’s ability to simulate grain yield, which was affected by drought stress, was explored. In reality, differences in phenological development and grain yield size were not evident. Reducing precipitation supply in DAISY by about 70% led to simulations of covered plots with reduced grain yield in accordance with the initial hypothesis. Agreement between observed and simulated grain yield was evaluated using selected statistical indicators: root mean square error (RMSE) as a parameter of average magnitude of error and mean bias error (MBE) as an indicator of systematic error. RMSE of grain yield was 2.6 t ha−1. MBE revealed grain yield undervalued by 2.6 t ha−1.
Keywords:
spring barley; crop growth models; simulate drought stress
Available at various institutes of the ASCR
The influence of reduced precipitation supply on spring barley yields and the ability of crop growth models to simulate drought stress
This paper evaluates the first year (2014) of results from a field experiment with spring barley (cultivar Bojos) under reduced precipitation supply. The field experiment was carried out at an ...
Effects of vegetation season and needles’ position in spruce canopy on emissions of volatile organic compounds
Večeřová, Kristýna; Holišová, Petra; Pallozi, E.; Guidolotti, G.; Calfapietra, Carlo; Urban, Otmar
2015 - English
The main objective of this study was to investigate seasonal changes and vertical distribution in emissions of biogenic volatile organic compounds (BVOCs) within a Norway spruce canopy profile. Emissions were measured on current-year needles from the upper and lower canopy in early July and late August. Our results show that total BVOC emissions under standardized conditions (light intensity 1,000 µmol m–2 s–1, temperature 30°C) are higher in July than they are in August. BVOC emissions from upper canopy needles were approximately 3 times higher than were those from lower canopy needles. This difference was observed in July but not in August. The monoterpenes α-pinene, camphene, and terpinolene showed the most significant differences between emissions from upper and lower canopy needles.
Keywords:
vegetation season; spruce canopy; organic compounds
Available at various institutes of the ASCR
Effects of vegetation season and needles’ position in spruce canopy on emissions of volatile organic compounds
The main objective of this study was to investigate seasonal changes and vertical distribution in emissions of biogenic volatile organic compounds (BVOCs) within a Norway spruce canopy profile. ...
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