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Effect of artificially induced drought on growth and productivity of selected crops within field experiment in Bohemian-Moravian highlands
Wimmerová, Markéta ; Hlavinka, Petr ; Trnka, Miroslav ; Žalud, Zdeněk ; Pohanková, Eva
The field experiments based on manipulating the crop environment are critical for determining the crop’s response to the climatic conditions expected in the future. An experimental site in Domanínek is located by 49°31'42 N, 16°14'13 E at an altitude of 560 m (potato production area). The field experiment using rain-out shelters for soil water availability reduction was conducted in 2015/2016. The main aim of this study was to assess the impacts of different water availability (rain-out shelters vs. control) on the performance of selected field crops (spring barley, winter wheat, winter rape and silage maize). Reduction of precipitation in treatment with rain-out shelters was confirmed by measuring soil water content. The amount of precipitation during growing period was reduced by 251 mm, 277 mm, 217 mm and 240 mm for the spring barley, winter wheat, winter rape and silage maize, respectively. As a consequence, leaf area index and yields declined, however the crop responses were not consistent.
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Towards a combining of remote sensing and in situ evapotranspiration measurements
Fischer, Milan ; Jurečka, František ; Anderson, M. ; Hain, C. ; Pozníková, Gabriela ; Hlavinka, Petr ; Orság, Matěj ; Lukas, V. ; Žalud, Z. ; Trnka, Miroslav
This study provides preliminary results from combining in situ Bowen ratio energy balance (BREB) and\nevapotranspiration (ET) measurements techniques with physically based remote sensing ET estimates determined\nby the Atmosphere-Land Exchange Inverse (ALEXI) model. Evapotranspiration measurements\nand ALEXI estimates were analysed in an agricultural area close to Polkovice, Czech Republic during 2015,\nwhen a drought spell and intensive heatwaves appeared in the country. The BREB system was monitoring a\nwinter wheat (Triticum aestivum L.) field (~26 ha) while the ALEXI pixel (~5 km resolution) covered a wide\nrange of crops, including mainly winter wheat, spring barley, and winter rape. The study results showed that,\nalthough the applied methods work at different spatial scales (field vs. landscape), their combination can provide\nfurther insights into ET at both scales. For instance, such approach can be used to identify whether a specific\necosystem investigated in situ contributes to cooling or warming of the landscape.
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Application of multispectral remote sensing indices for sensing indices for estimating crop yields at field level
Jurečka, František ; Lukas, Vojtěch ; Hlavinka, Petr ; Semerádová, Daniela ; Fischer, Milan ; Žalud, Zdeněk ; Trnka, Miroslav
Remote sensing can be used for yield estimation prior to harvest and can replace or complement classical\nways of estimating crop yields. This study was undertaken in Polkovice, located in the Czech Republic’s\nHaná region. For 2015 and 2016, two data sets of satellite imagery were used: the Moderate Resolution\nImaging Spectroradiometer and the Landsat 8. Vegetation indices from satellites were compared with crop\nyields at the level of land blocks. Winter wheat and spring barley yield data, representing crops planted\nover the analysed period, were used for the comparison. The results of the index–yield comparison showed\nthat vegetation indices from remote sensing data provide reliable information for yield estimation prior to\nharvest. Indices are also able to evaluate the spatial variability of a crop within the field. The results showed\nthat remote sensing data need to have detailed spatial resolution in order to provide reasonable information\nabout yield at such a detailed level.
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Water-use efficiency of winter wheat under heat and drought stress
Hlaváčová, Marcela ; Klem, Karel ; Novotná, Kateřina ; Rapantová, Barbora ; Urban, Otmar ; Hlavinka, Petr ; Smutná, P. ; Horáková, V. ; Škarpa, P. ; Trnka, Miroslav
Because such extreme weather events as dry spells and heat waves are expected to occur more frequently\ndue to climate change, the issue of appropriate water management for sustainable agricultural production\nis increasingly important. This study focuses on wheat, the second most widely grown cereal in the world\nand the most common cereal in European countries. The study assesses the effects of short periods (3 and\n7 days) of high temperatures (26°C as a control, 32°C, 35°C, and 38°C as daily temperature maxima from\n12:00 to 14:00) and drought stress at different developmental stages (DC 31 – beginning of stem elongation,\nDC 61 – flowering, and DC 75 – early grain filling) on water-use efficiency (WUE) in winter wheat\ncultivar Tobak. This cultivar is one of the most widespread winter wheat cultivars in Czech Republic fields.\nThe analysis of WUE showed that the cv. Tobak plants were able to withstand drought stress conditions\nthrough increased WUE. In contrast, wheat plants were stressed more markedly if exposed to higher temperatures\nand drought in combination. Generally, the wheat plants were most sensitive to drought at DC\n31.
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Monitoring of water use, druought and yield impacts of winter wheat using imaginery from satellites
Jurečka, František ; Anderson, M. ; Hlavinka, Petr ; Semerádová, Daniela ; Trnka, Miroslav ; Hain, C. ; Gao, F. ; Yang, Y. ; Žalud, Zdeněk
Remote sensing can be very useful tool for drought monitoring, providing valuable information about yield-limiting moisture conditions and crop response under current climate conditions. In this study the Atmosphere-land Exchange Inverse (ALEXI) model was used. The ALEXI model uses the morning surface temperature (LST) rise and provides information on the surface moisture status. In this paper correlations between yields and satellite indicators of crop water use or evapotranspiration (ET) were studied for the period 2002-2014. Correlations were studied for winter wheat at district scale in Vysocina, Jihomoravsky and Olomoucky regions since winter wheat is one of the traditional and most important crops grown in these regions. The Evaporative Stress Index (ESI) was used for these correlations as an ET-based index. Time series of Pearson correlation coefficient (r) computed between ESI and winter wheat yields at district scale were analysed. Strongest correlations are associated with districts within the Southern Moravian lowlands in Jihomoravsky and Olomoucky region, where frequency of occurrence of severe drought was highest over the period of record. Severe drought resulted in significant yield impacts, particularly in years 2003 and 2012. Correlations tend to be lower over the highlands districts of Vysocina and surroundings. In these districts, yields are more temperature than moisture limited and were more stable over the period of record.
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Agroclimatic analysis of perspective changes of starting production conditions for agricultural entities and related impacts to land valuation system
Trnka, Miroslav ; Hlavinka, Petr ; Balek, Jan ; Semerádová, Daniela ; Dubrovský, Martin ; Štěpánek, Petr ; Žalud, Zdeněk
The aim of this report is to evaluate the analyses prepared within the contractual research collaboration implemented within the project number of the EEA-CZ02 1-039-2015-OV-called "Complex planning, monitoring, information and educational tools to adapt the territory to the impacts of climate change with major focus on agricultural and forest landscape management" funded by the EEA Fund 2009 - 2014 program CZ02 - Biodiversity and ecosystem services /. The study focuses on the South Moravian Region (SMR) and follows a report assessing the impact of expected climatic conditions prepared for the above-mentioned project in October 2016. Like the previous study, this part is processed based on the 5 selected global circulation models (GCMs) and for two emission scenarios and the period 2021-2040. Since a detailed description of the scenarios includes a previous report confines itself in this text only on the most important outputs relevant to SMR.
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Drought monitor for the Czech Republic-www.intersucho.cz
Trnka, Miroslav ; Hlavinka, Petr ; Semerádová, Daniela ; Balek, Jan ; Možný, M. ; Štěpánek, Petr ; Zahradníček, Pavel ; Hayes, M. ; Eitzinger, Josef ; Žalud, Zdeněk
Because drought and its impacts are among the worst hydrometeorological extremes (including also Central European conditions), the aim of this paper is to describe the core and use of the Integrated drought monitoring system for the Czech Republic. Land-use, information about soil, vegetation characteristics and meteorological data are used as inputs to validated water balance SoilClim model, which is applied for estimates of actual and reference evapotranspiration and water saturation of the soil profile in % or soil moisture content in mm. Moreover the prognosis of expected soil moisture (based on probabilistic analysis) is calculated for next 1, 2, 4 and 8 weeks. Main results are weekly updated in form of drought occurrence maps, which are published in spatial resolution 500 m for whole territory of the Czech Republic and for all its 76 districts separately. Final maps with detail comments are available at drought topic dedicated web page (ANONYM 3 2014).
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Detection of drought events using combination of satellite data and soil moisture modelling
Semerádová, Daniela ; Trnka, Miroslav ; Hlavinka, Petr ; Balek, Jan ; Bohovič, Roman ; Tadesse, T. ; Hayes, M. ; Wardlow, B. ; Žalud, Zdeněk
The use of satellite data offers a potentially well usable tool to accurate drought monitoring. The study examines the space-time possibility of agricultural drought detection using freely available data from the MODIS instrument onboard Terra and Aqua satellites that reflects vegetation condition. Vegetation greenness metrics used in this study are based on the spectral reflectance curves in the visible red and near-infrared part of the spectrum and are expressed in relation to the average for the period of 2000-2014. The results are presented in weekly time step for the whole area of the Czech Republic, and are compared to the drought monitor system, based on the SoilClim dynamic model for soil water content estimates. These data, as well as other parameters, such as soil properties and land use, are integrated at 500 meters spatial resolution.
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Development of the II. phase of the Master Plan of Water Management in the Czech Republic
Trnka, Miroslav ; Dumbrovský, M. ; Růžek, P. ; Žalud, Zdeněk ; Drbal, J. ; Hlavinka, Petr ; Novotný, I. ; Vopravil, J. ; Chuchma, F. ; Vizina, P.
This report is processing research results done within the contractual cooperation of the Institute of Global Change Research of the Czech Academy of Sciences (as a research provider) and Mendel University in Brno (demander), which was prepared in collaboration with other research partners. The report processes II. phase of the Master Plan of Water Management in the Czech Republic with regard to the ongoing climate change.\n\n
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Balancing Assessment of Available Water Resources and Moisture Needs within Defined "Irrigation Districts”
Trnka, Miroslav ; Hlavinka, Petr ; Balek, Jan ; Semerádová, Daniela ; Dubrovský, Martin ; Štěpánek, Petr ; Vizina, A. ; Hanel, M. ; Žalud, Z. ; Lukas, V. ; Dumbrovský, M. ; Růžek, P. ; Daňhelka, J. ; Chuchma, F. ; Novák, P. ; Novotný, I. ; Pavlík, F.
This report is processing research results done within the contractual cooperation of the Institute of Global Change Research (as a research provider) and Státní pozemkový úřad - the Czech National Land Authority (demander), which was prepared in collaboration with other research partners. The report deals with balancing assessment of available water resources and moisture needs within defined "irrigation districts” of the Czech Republic with regard to the ongoing climate change
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