Modelling of yields and soil nitrogen dynamics for crop rotations by HERMES under different climate and soil conditions in the Czech Republic

2013 ◽  
Vol 152 (2) ◽  
pp. 188-204 ◽  
Author(s):  
P. HLAVINKA ◽  
M. TRNKA ◽  
K. C. KERSEBAUM ◽  
P. ČERMÁK ◽  
E. POHANKOVÁ ◽  
...  
Keyword(s):  
Czech Republic ◽  
Soil Layer ◽  
Crop Rotations ◽  
Coefficient Of Determination ◽  
Soil Conditions ◽  
Good Precision ◽  
Soil Mineral ◽  
Organic C ◽  
The Czech Republic ◽  
Wide Range

SUMMARYThe crop growth model HERMES was used to model crop rotation cycles at 12 experimental sites in the Czech Republic. A wide range of crops (spring and winter barley, winter wheat, maize, potatoes, sugar beet, winter rape, oats, alfalfa and grass), cultivated between 1981 and 2009 under various soil and climatic conditions, were included. The model was able to estimate the yields of field crop rotations at a reasonable level, with an index of agreement (IA) ranging from 0·82 to 0·96 for the calibration database (the median coefficient of determination (R2) was 0·71), while IA for verification varied from 0·62 to 0·93 (median R2 was 0·78). Grass yields were also estimated at a reasonable level of accuracy. The estimates were less accurate for the above-ground biomass at harvest (the medians for IA were 0·76 and 0·72 for calibration and verification, respectively, and analogous medians of R2 were 0·50 and 0·49). The soil mineral nitrogen (N) content under the field crops was simulated with good precision, with the IA ranging from 0·49 to 0·74 for calibration and from 0·43 to 0·68 for verification. Generally, the soil mineral N was underestimated, and more accurate results were achieved at locations with intensive fertilization. Simulated yields, soil N, water and organic carbon (C) contents were compared with long-term field measurements at Němčice, located within the fertile Moravian lowland. At this station, all of the observed parameters were reproduced with a reasonable level of accuracy. In the case of the organic C content, HERMES reproduced a decrease ranging from c. 85 to 77 tonnes (t)/ha (for the 0–0·3 m soil layer) between the years 1980 and 2007. In spite of its relatively simple approach and restricted input data, HERMES was proven to be robust across various conditions, which is a precondition for its future use for both theoretical and practical purposes.

Water balance, drought stress and yields for rainfed field crop rotations under present and future conditions in the Czech Republic

2015 ◽  
Vol 65 ◽  
pp. 175-192 ◽  
Author(s):  
P Hlavinka ◽  
KC Kersebaum ◽  
M Dubrovský ◽  
M Fischer ◽  
E Pohanková ◽  
...  
Keyword(s):  
Czech Republic ◽  
Drought Stress ◽  
Water Balance ◽  
Crop Rotations ◽  
Field Crop ◽  
The Czech Republic

Young Scholars Conference “Slavic World: Commonality and Diversity”. 21–22 May 2019. Session “Linguistics”

2019 ◽  
Vol 14 (1-2) ◽  
pp. 295-297
Author(s):  
Sergej A. Borisov
Keyword(s):  
Czech Republic ◽  
Middle Ages ◽  
The Czech Republic ◽  
International Context ◽  
Slavic Languages ◽  
Russian Academy Of Sciences ◽  
Current State ◽  
Wide Range ◽  
History Of ◽  
Academy Of Sciences

For more than twenty years, the Institute of Slavic Studies of the Russian Academy of Sciences celebrates the Day of Slavic Writing and Culture with a traditional scholarly conference.”. Since 2014, it has been held in the young scholars’ format. In 2019, participants from Moscow, St. Petersburg, Kazan, Togliatti, Tyumen, Yekaterinburg, and Rostov-on-Don, as well as Slovakia, the Czech Republic, Hungary, and Romania continued this tradition. A wide range of problems related to the history of the Slavic peoples from the Middle Ages to the present time in the national, regional and international context were discussed again. Participants talked about the typology of Slavic languages and dialects, linguo-geography, socio- and ethnolinguistics, analyzed formation, development, current state, and prospects of Slavic literatures, etc.

scholarly journals The Climatology of Significant Tornadoes in the Czech Republic

Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 689
Author(s):  
Rudolf Brázdil ◽  
Kateřina Chromá ◽  
Tomáš Púčik ◽  
Zbyněk Černoch ◽  
Petr Dobrovolný ◽  
...  
Keyword(s):  
Czech Republic ◽  
Daily Variation ◽  
Convective Available Potential Energy ◽  
Vertical Wind Shear ◽  
Severe Damage ◽  
The Czech Republic ◽  
Annual Variations ◽  
Wide Range ◽  
Individual Trees ◽  
Common Era

In the Czech Republic, tornadoes may reach an intensity of F2 and F3 on the Fujita scale, causing “considerable” to “severe” damage. Documentary evidence is sufficient to allow the creation of a chronology of such events, from the earliest recorded occurrence in 1119 CE (Common Era) to 2019, including a total of 108 proven or probable significant tornadoes on 90 separate days. Since only 11 significant tornadoes were documented before 1800, this basic analysis centers around the 1811–2019 period, during which 97 tornadoes were recorded. Their frequency of occurrence was at its highest in the 1921–1930, 1931–1940, and 2001–2010 decades. In terms of annual variations, they took place most frequently in July, June, and August (in order of frequency), while daily variation favored the afternoon and early evening hours. Conservative estimates of human casualties mention 8 fatalities and over 95 people injured. The most frequent types of damage were related to buildings, individual trees, and forests. Tornadoes of F2–F3 intensity were particularly associated with synoptic types characterized by airflow from the western quadrant together with troughs of low pressure extending or advancing over central Europe. Based on parameters calculated from the ERA-5 re-analysis for the period of 1979–2018, most of these tornadoes occurred over a wide range of Convective Available Potential Energy (CAPE) values and moderate-to-strong vertical wind shear. The discussion herein also addresses uncertainties in tornado selection from documentary data, the broader context of Czech significant tornadoes, and the environmental conditions surrounding their origins.

scholarly journals Revised soil erodibility K-factor for soils in the Czech Republic

2008 ◽  
Vol 2 (No. 1) ◽  
pp. 1-9 ◽  
Author(s):  
J. Vopravil ◽  
M. Janeček ◽  
M. Tippl
Keyword(s):  
Czech Republic ◽  
Agricultural Soils ◽  
Water Erosion ◽  
Soil Conditions ◽  
Soil Erodibility ◽  
The Czech Republic ◽  
Complex Relation ◽  
Complex Evaluation ◽  
K Factor ◽  
The Subject

In the territory of the Czech Republic there are more than 50% of agricultural soils exposed to water erosion; it is a very urgent problem both at present and for the future. It must be solved now when there is still something to be protected. It is rather complicated to describe the soil properties in terms of soil susceptibility to water erosion because it is a complex relation in which many factors participate. For the complex evaluation of all main factors participating in erosion origination it is possible to apply the Universal Soil Loss Equation (USLE). It consists of six factors interacting with each other and participating in the origination of soil erosion. One of these factors is the soil erodibility factor (K-factor), the revision of which for soil conditions of the CR is the subject of this study. In total ca. 5000 soil pits from the whole territory of the country were processed and evaluated in detail. The main results of this study are K-factor values (means and variances) for the soil types, subtypes and varieties (represented in the database) according to the Taxonomic Classification System of Soils of the Czech Republic.

scholarly journals Water Erosion Reduction Using Different Soil Tillage Approaches for Maize (Zea mays L.) in the Czech Republic

Land ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 358
Author(s):  
Ladislav Menšík ◽  
David Kincl ◽  
Pavel Nerušil ◽  
Jan Srbek ◽  
Lukáš Hlisnikovský ◽  
...  
Keyword(s):  
Czech Republic ◽  
Agricultural Land ◽  
Higher Plants ◽  
Forage Quality ◽  
Dry Mass ◽  
Water Erosion ◽  
Soil Tillage ◽  
Soil Conditions ◽  
Agricultural Practice ◽  
The Czech Republic

In today’s agriculture, maize is considered to be one of the major feed, food and industrial crops. Cultivation of maize by inappropriate agricultural practices and on unsuitable sites is connected with specific risks of soil degradation, mainly due to water erosion of the soil. The aim of this study was to evaluate the yielding parameters, fodder quality and anti-erosion efficiency of different methods of conservation tillage for maize in two areas (Jevíčko—JEV and Skoupý—SKO) with different climate and soil conditions in the Czech Republic in the period 2016–2018, using multivariate exploratory techniques such as principal component analysis (PCA) and factor analysis (FA). Four variants of soil tillage methods were analysed: Conventional Tillage (CT), two slightly different Strip-Till techniques (ST) and Direct Sowing (DS). The analysed parameters were: dry mass of the plants, height of the plants, starch content (SC), organic matter digestibility (OMD) and content of neutral detergent fibre (NDF), soil loss by erosion and surface runoff. The multivariate exploratory techniques PCA and FA significantly differed in two categories of techniques in both locations. The first category consists of soil conservation techniques (SCT): ST (JEV/SKO) and DS (JEV). These techniques are characterised by lower yields of dry mass, lower height of plants, forage quality equal to CT, but a high level of protection of the soil against erosion. The second category consists of CT (JEV and SKO) and partially of DS (SKO). These treatments are characterised by high dry mass production, higher plants, high forage quality, but a feeble capacity of protection of the soil against erosion. The results of the study confirm the presumption of the positive influence of introduction and application of new agronomical practices in the areas of interest and other areas with similar natural conditions in the sense of sustainable management for agricultural management of agricultural land for the conditions of the Czech Republic and therefore of Central and Eastern Europe. PCA and FA were used as an effective method for comprehensive evaluation of the use of STC in agricultural practice.

scholarly journals Potential for pork production in the Czech Republic

2011 ◽  
Vol 57 (No. 11) ◽  
pp. 545-554
Author(s):  
M. Malý ◽  
Z. Kroupová ◽  
D. Žídková ◽  
J. Peterová ◽  
L. Šobrová ◽  
...  
Keyword(s):  
Czech Republic ◽  
Least Squares ◽  
Production Function ◽  
Least Squares Method ◽  
Final Analysis ◽  
Fixed Effect Model ◽  
Ordinary Least Squares ◽  
Coefficient Of Determination ◽  
The Czech Republic ◽  
Pork Production

The main aim of the paper was a partial analysis of the production potential for pig fattening in the Czech Republic. This aim was achieved by econometric modelling of the production function, which was specified as a Cobb-Douglas function, with the level of average daily increase as the dependent variable, and feed compounds, mortality and weight of new stock as independent variables. The model was specified as a fixed effect model, and the parameters of the function were estimated by the method of least squares dummy variable, based on the ordinary least squares method. Verification of the estimated model was based on a t-test, coefficient of determination, Wald test, autoregressive test, and test of normality distribution of residuals. Subsequently, the estimated function was analysed and significant determinants of production were identified. The behaviour of the production functions was analysed for the average and marginal productions. The functions were also illustrated in graphs of production surfaces, from which the maps of isoproduction functions were derived. The isoproduction functions were used for the final analysis of the potential for pork production. The analysis was based on panel data from 32 farms focused on pig fattening, collected by our own survey. The research indicated significant differences between the surveyed farms. It also declared the most important factor of final production to be, with 99% probability, the new stock weight. The second most important determinant of final production is the feed compound A3, which is used in the final stage of fattening. For maximized production, the farmer should focus on the weight of pigs coming into fattening, choose the biggest one, and introduce the use of the feed compound A3. The results in the submitted paper should also be used by farmers to evaluate their production activity, and to compare their actual output with the theoretical value enumerated by the production function.

scholarly journals Predicted climate change will increase the truffle cultivation potential in central Europe

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Tomáš Čejka ◽  
Miroslav Trnka ◽  
Paul J. Krusic ◽  
Ulrich Stobbe ◽  
Daniel Oliach ◽  
...  
Keyword(s):  
Climate Change ◽  
Czech Republic ◽  
Central Europe ◽  
Agricultural Land ◽  
Economic Benefits ◽  
The Czech Republic ◽  
Truffle Cultivation ◽  
Ecological Requirements ◽  
Wide Range ◽  
Future Warming

AbstractClimate change affects the distribution of many species, including Burgundy and Périgord truffles in central and southern Europe, respectively. The cultivation potential of these high-prized cash crops under future warming, however, remains highly uncertain. Here we perform a literature review to define the ecological requirements for the growth of both truffle species. This information is used to develop niche models, and to estimate their cultivation potential in the Czech Republic under current (2020) and future (2050) climate conditions. The Burgundy truffle is already highly suitable for cultivation on ~ 14% of agricultural land in the Czech Republic (8486 km2), whereas only ~ 8% of the warmest part of southern Moravia are currently characterised by a low suitability for Périgord truffles (6418 km2). Though rising temperatures under RCP8.5 will reduce the highly suitable cultivation areas by 7%, the 250 km2 (3%) expansion under low-emission scenarios will stimulate Burgundy truffles to benefit from future warming. Doubling the moderate and expanding the highly suitable land by 352 km2 in 2050, the overall cultivation potential for Périgord truffles will rise substantially. Our findings suggest that Burgundy and Périgord truffles could become important high-value crops for many regions in central Europe with alkaline soils. Although associated with uncertainty, long-term investments in truffle cultivation could generate a wide range of ecological and economic benefits.

scholarly journals HYPRESCZ - database of soil hydrophysical properties in the Czech Republic

2013 ◽  
Vol 8 (No. 1) ◽  
pp. 34-41 ◽  
Author(s):  
M. Miháliková ◽  
S. Matula ◽  
F. Doležal
Keyword(s):  
Czech Republic ◽  
Mean Squared Error ◽  
Arable Land ◽  
Pedotransfer Functions ◽  
Coefficient Of Determination ◽  
Quality Of Data ◽  
Soil Water Retention ◽  
The Czech Republic ◽  
European Database ◽  
S Model

The database of soil hydrophysical properties in the Czech Republic called HYPRESCZ was created. It is based on the European database HYPRES, HYdraulic PRoperties of European Soils, and follows its structure with few modifications. It collects the available data from the Czech Republic from which pedotransfer functions (PTFs) for the estimation of soil hydrophysical properties from easily available soil properties can be derived and 2101&nbsp;database entries were collected. The entries have different quality of data, out of the total number of entries 707 entries were applicable to PTFs derivation for the estimation of soil water retention curves (SWRCs). After elimination of replicates, finally 159 unique soil horizons (arable land only) were used for PTFs derivation. The parametric continuous pedotransfer functions for estimation of SWRCs in the Czech Republic were derived within this study and are based on W&ouml;sten&rsquo;s model. The retention curves were estimated using both these newly derived PTFs and W&ouml;sten&rsquo;s original model, which was derived for European soils in general. The uncertainty of estimation was evaluated, employing the root mean squared error (RMSE) and the coefficient of determination (R<sup>2</sup>) comparing the PTF-estimated and the directly fitted retention curves. The reliability of the newly derived PTFs for Czech soils was higher (RMSE = 0.059 cm<sup>3</sup>/cm<sup>3</sup> and R<sup>2</sup> = 71%) compared to W&ouml;sten&rsquo;s general PTFs (RMSE = 0.11 cm<sup>3</sup>/cm<sup>3</sup> and R<sup>2</sup> = 36%).

scholarly journals Modeling carbon dynamics in two adjacent spruce forests with different soil conditions in Russia

2008 ◽  
Vol 5 (1) ◽  
pp. 271-296
Author(s):  
J. Kurbatova ◽  
C. Li ◽  
A. Varlagin ◽  
X. Xiao ◽  
N. Vygodskaya
Keyword(s):  
Water Table ◽  
Soil Conditions ◽  
Organic Layer ◽  
Spruce Forest ◽  
Eddy Covariance Method ◽  
Southern Boundary ◽  
Organic C ◽  
Spruce Forests ◽  
Net Ecosystem Carbon Exchange ◽  
Wide Range

Abstract. Net ecosystem carbon exchange (NEE) were measured with eddy covariance method for two adjacent forests located at the southern boundary of European taiga in Russia in 1999–2004. The two spruce forests shared similar vegetation composition but differed in soil conditions. The wet spruce forest (WSF) possessed a thick peat layer (60 cm) with a high water table seasonally close to or above the soil surface. The dry spruce forest (DSF) had a relatively thin organic layer (5 cm) with a deep water table (>60 cm). The measured NEE fluxes (2000 and −1440 kg C ha−1 yr−1 for WSF and DSF, respectively) indicated that WSF was a source while DSF a sink of atmospheric carbon dioxide during the experimental years. A process-based model, Forest-DNDC, was employed in the study to interpret the observations. The modeled NEE fluxes were 1800 and −2200 kg C ha−1 yr−1 for WSF and DSF, respectively, which were comparable with the observations. The modeled data indicated that WSF and DSF had similar rates of photosynthesis and plant autotrophic respiration but differed in soil heterotrophic respiration. The simulations resulted in a hypothesis that the water table fluctuation at WSF could play a key role in determining the negative C balance in the ecosystem. A sensitivity test was conducted by running Forest-DNDC with varied water table scenarios for WSF. The results proved that the NEE fluxes from WSF were highly sensitive to the water table depth. When the water table dropped, the length of flooding season became shorter and more organic matter in the soil profile suffered from rapid decomposition that converted the ecosystem into a source atmospheric C. The conclusion from this modeling study could be applicable for a wide range of wetland and forest ecosystems that have accumulated soil organic C while face hydrological changes under certain climatic or land-use change scenarios.

scholarly journals e-Learning trends in Central Europe: The case of the Czech Republic

2013 ◽  
pp. 375-387
Keyword(s):  
Czech Republic ◽  
Information And Communication Technologies ◽  
Central Europe ◽  
Learning Strategy ◽  
National Level ◽  
The Czech Republic ◽  
Starting Point ◽  
Wide Range ◽  
Information And Communication ◽  
E Learning

The paper deals with expert predictions on the development of e-learning in the Czech Republic, a country in Central Europe. The first part of the paper describes the development of e-learning with specific feature in the Czech Republic in relation to the implementation of Information and communication technologies (ICT) to schools and the business sector. The second part of the paper presents a survey with selected experts, conducted in the years 2012 and 2013 in the Czech Republic, aiming at identifying the trends of e-learning. Special attention is paid to applying e-learning in the corporate sector. Our survey provides a better understanding of the current and future trends of e-learning to a wide range of stakeholders interested in using e-learning. Understanding the existing and future state of e-learning should be a starting point for further development of any e-learning strategy, in both education and corporate sectors. Therefore, the findings of our survey have important practical implications. The survey also proves that identification of the e-learning trends at the national level is influenced by political, economic, social and technological factors.

Sign in / Sign up

Export Citation Format

Share Document