• Energy Research

Freshwater fish production is significantly correlated with water temperature, which is expected to increase under climate change. This study evaluated changes in water temperature and their impact on productive ponds at fisheries in the Czech Republic. A model was developed to calculate surface water temperature based on the five-day mean of the air temperature and was then tested in several ponds in three major Czech fish production areas. The output of the surface water temperature model was compared with independently measured data (r = 0.79–0.96), and the verified model was then applied to predict climate change conditions. The results were evaluated with regard to the thresholds characterizing the water temperature requirements of fish species and indicated that the limitation of Czech fish farming results from (i) an increased number of continuous periods during which given fish species are threatened by high water temperatures and (ii) the extension of continuous periods with stressful water temperatures. For Czech fisheries, the model suggests a sharp increase in unprecedented temperature regimes, which will pose critical challenges to traditional forms of common carp farming within several decades. Although reducing the level of eutrophication and loading them with organic substances might alleviate expected threads, farming current fish species in deeper and colder ponds at higher elevations might be inevitable.

The present study yields detail validation of the pest occurrence models under current climate in wide European domain. Study organisms involve Cydia pomonella, Lobesia botrana, Ostrinia nubilalis, Leptinotarsa decemlineata, Oulema melanopus, Rhopalosiphum padi, and Sitobion avenae. Method used in this study belongs to the category climate matching (CLIMEX model) allowing the estimation of areas climatically favourable for species persistence based on the climatic parameters characterising the species development. In the process of model validation parameters were iteratively tested and altered to truly describe the pest presence. The modelled pests presence was verified by comparison of the observed pests occurrence with the number of generations in given modelled area. The notable component of the model parameterization was the sensitivity analyses testing the reaction of species development on changing meteorological items. Parameterization of the factors causing distribution patterns of study species was successful and modelled potential distributions of species correspond well to known core distribution areas for all of these species. This validation study is intended as an initial for forthcoming studies focused on the estimation of geographical shifts of selected pests in the conditions of climate change within the Europe.

The article outlines the relationship between meteorological variables and the parts of an agroecosystem which might be significantly influenced by climate change in the Czech Republic. It describes the most often applied scenarios under which projections of changes in meteorological variables up to the year 2050 and their impacts on winter wheat and spring barley yields can be made. It outlines the probable impacts of drought as the most significant hydrometeorological extreme in field production. Finally, case-studies are presented of predicted changes in occurrence of European Corn Borer (Ostrinia nubilalis) and predicted changes location and area of zones suitable for the production of different crops.

The study compares two methods for modeling the potential distribution of pests when applied to the European corn borer (Ostrinia nubilalisHubner). The development of the European corn borer (ECB) is known to be closely correlated with daily air temperature as well as other climate variables. The climatic parameters are, therefore, used to predict the potential geographical distribution using tested tools such as CLIMEX or ECAMON. These models consider the climatic suitability of a given site/region for the pest's development and, thus, the possible establishment of a population at a given location. In this study, meteorological data from 1961 to 2000 and from 45 meteorological stations were used to characterise the current climate conditions in the Czech Republic. Validation was based on available field data of the occurrence of ECB in the same period. The climate parameters were later modified according to the estimates based on the combination of three SRES emission scenarios and three global circulation models. Under all climate change scenarios, we noted a marked shift of the pest's potential niches to higher altitudes, which might lead to an increase in the infestation pressure during the first half of this century. The present area of the univoltine population will increase due to temperature increases even above 800 m a.s.l. In addition there is a risk of the establishment of a bivoltine population in the main agricultural areas and 38% of arable land in the Czech Republic before 2050.

AbstractBACKGROUNDThis study aimed to estimate the impact of climate change on the ranges of crop pest species in Europe. The organisms included in the study were species from the family Tortricidae (Cydia pomonella, Lobesia botrana) and the family Pyralidae (Ostrinia nubilalis), Chrysomelidae beetles (Leptinotarsa decemlineata, Oulema melanopus) and species from the family Aphididae (Ropalosiphum padi, Sitobion avenae). Climate conditions in the year 2055 were simulated using a subset of five representative global circulation models. Model simulations using these climate change scenarios showed significant shifts in the climatic niches of the species in this study.RESULTSFor Central Europe, the models predicted a shift in the ranges of pest species to higher altitudes and increases in the number of generations (NG) of the pests. In contrast, in the southern regions of Europe, the NG is likely to decrease owing to insufficient humidity. The ranges of species are likely to shift to the north.CONCLUSIONBased on the ensemble‐scenario mean for 2055, a climate‐driven northward shift of between 3° N (O. nubilalis) and 11° N (L. botrana) is expected. The areas that are most sensitive to experiencing a significant increase in climate suitability for future pest persistence were identified. These areas include Central Europe, the higher altitudes of the Alps and Carpathians and areas above 55° N. © 2013 Society of Chemical Industry

Grasslands play a significant role in livestock fodder production and thus, contribute to food security worldwide while providing numerous additional ecosystem services. However, how agroclimatic conditions and adverse weather events relevant for grasslands will change across the European grassland areas has not been examined to date. Using a single reference setup for soil and management over 476 European sites defined by climate stations, we show the probability of eight selected adverse weather events with the potential to significantly affect grassland productivity under climate change and how these events vary regionally across Europe. Changes in these eight key agroclimatic indicators create markedly specific spatial patterns. We found that by 2050, the exposure of the south and west European grasslands to heat and drought may double in comparison with today and that the area with frequent occurrences of heat and drought will expand northwards. However, across Ukraine, Belarus, and the Baltic countries to southern Finland and Sweden, the likelihood of these events is likely to decrease. While changing cultivars and management strategies are unavoidable, shifting grassland production to other regions to reduce the risk may not be possible as the risk of adverse events beyond the key grassland-growing areas increases even further. Moreover, we found marked changes in the overall thermal and water regimes across European regions. The effect of adverse weather events in the future could be different in other regions of the world compared to regions in Europe, emphasizing the importance of conducting similar analyses for other major grassland producing regions. To mitigate the impact of climate change, new ways of maintaining grassland productivity need to be developed. These methods include more efficient selection of species mixtures for specific regions, including increased use of legumes and forbs; incorporation of new genetic resources, including the development of hybrid cultivars, such as Festulolium hybrids; and incorporation of state-of-the-art technologies in breeding programs and new grazing management.

The close relationship between the onset and severity of agricultural and hydrological drought is considered selfevident, yet relatively few studies have addressed the effects of applying agricultural drought adaptation to hydrological drought characteristics. The present study applies a model cascade capable of simultaneously considering the interactions between agricultural and hydrological droughts. The study area covers all river basins in the Czech Republic and includes the periods of 1956-2015 (baseline) and 2021-2080 (future). The model cascade was shown to explain 91% of the variability in the seasonal and annual accumulated runoff and allows for the analysis of increasing/maintaining/decreasing available water capacity (AWC) across the 133 defined basins with a total area of c. 78,000 km2. The study reports that the probability and extent of agricultural drought increased over the entire period with higher AWC scenario showing slower pace of such increase especially from April to June. The trends in the extent or severity of hydrological droughts were of low magnitude. The future climate has been projected through the use of ensembles of five global (CMIP5) and five regional (EURO-CORDEX) climate models. The results showed a significant increase in the duration of agricultural drought stress and in the area affected throughout the year, particularly in July-September. The hydrological drought response showed a marked difference between areas with a negative and positive climatic water balance, i.e., areas where long-term reference evapotranspiration exceeds long-term precipitation (negative climatic water balance) and where it does not (positive climatic water balance). The overall results indicate that increasing soil AWC would decrease the frequency and likely also impact of future agricultural droughts, especially during spring. This result would be especially true if the wetter winters predicted by some of the models materialized. Hydrological droughts at the country level are estimated to become more pronounced with increasing AWC, particularly in catchments with a negative climatic water balance.

This present study is focused on the modeling of the most important potato pest i.e Colorado potato beetle (Leptinotarsa decemlineata, Say 1824) development in relation to the climate conditions over the area of the Czech Republic. The aim was to develop a model allowing the assessment of the CPB possible spread under the climate change. For the estimation of the CPB occurrence in expected climate conditions we used a dynamic model CLIMEX that enables to determine the suitability of a given location climate for the pests survival and infestation capability based on known pests requirements to the climate conditions. Following the validation and calibration of the model outputs, the meteorological data were altered according to three Global Circulation Models (ECHAM4, HadCM3, NCARPCM) that were driven by two SRES emission scenarios (A2, B1) with two assumed levels of climate system sensitivity for period 2025 and 2050. Model output, for current and expected climate conditions, were visualized by GIS using a digital landscape model. Under all climate change scenarios we noted a widening of CPB distribution area and change in the infestation pressure of the pest.