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Application of DSSAT model to simulated thermophilic crops in central and southern Europe
Potop, V. ; Mateescu, C.D. ; Türkott, L. ; Zahradníček, Pavel ; Boroneant, C. ; Constantinescu, F. ; Iamandei, M.
This study presents applications of DSSAT version 4.5 software package to simulate thermophilic crops. The results are used to identified adaptation options to reduce impacts of climate changes, pest and diseases in thermophilic crops in the central and southeastern Europe, specifically in Elbe River lowland and Romania. For the Czech Republic, experimental research at farm level includes: (1) testing thermophilic assortment of vegetables in Elbe lowland conditions; (2) monitoring the meteorological data, phenological phases, soil characteristics, leaf area and the amount of aboveground biomass on farmer vegetable fields. For Romania, the focus is put on crop water use efficiency under current and future climate scenarios for thermophilic species (maize) in different agricultural sites from south and south-eastern regions. CERES Maize and CROPGRO-vegetables modules embedded in DSSAT were used.
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Temporal Evolution of Dry and Wet Conditions in the Czech Republic During the Growing Season
Potop, V. ; Boroneant, C. ; Možný, Martin ; Štěpánek, Petr ; Skalák, Petr
In the present study, the Standardized Precipitation Evapotranspiration Index (SPEI) was adopted to assess temporal evolution of wet and dry months during growing season (April to September) in the Czech Republic based on a dense network of 184 climatological stations for the period 1961–2010. The SPEI were calculated with various lags, 1, 3, 6, 12 and 24 months because the drought at these time scales is relevant for agricultural, hydrological and socio-economic impact, respectively. To assess the temporal evolution of dry and wet conditions during the growing season, first, the monthly time series of the SPEI for the months April to September were averaged at each station for each SPEI accumulation period (1, 3, 6, 12 and 24 months, respectively). Then, these SPEI time series were averaged over all 184 stations to get a time series of drought index at country level. The temporal evolution of the SPEI with one month lag represents the year by year moisture characteristic of the current growing season. In this respect, at country level, during the second half of the 20th century and the first decade of 21st century, the hierarchy of the driest years during the growing season was 2003, followed by 1992, 2000, 1983, 1982, 1976, 2009 and 1999. On the other hand, the wettest years during the growing seasons were 1965, 2010, 1977, 1996, 1966, 2001, 1972, 1980 and 1995.
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