The effect of climate change on the population of sycamore lace bug (Corythuca ciliata, Say) based on a simulation model with phenological response

Climate change affects on insect populations in many ways: it can cause a shift in geographical spread, abundance, or diversity, it can change the location, the timing and the magnitude of outbreaks of pests and it can define the phenological or even the genetic properties of the species. Long-time investigations of special insect populations, simulation models and scenario studies give us very important information about the response of the insects far away and near to our century. Getting to know the potential responses of insect populations to climate change makes us possible to evaluate the adaptation of pest management alternatives as well as to formulate our future management policy. In this paper we apply two simple models, in order to introduce a complex case study for a Sycamore lace bug population. We test how the model works in case the whether conditions are very different from those in our days. Thus, besides we can understand the processes that happen in present, we can analyze the effects of a possible climate change, as well

Population dynamics of the Sycamore Lace Bug (Corythucha Ciliata, Say, Heteroptera: Tingidae) in Hungary

Based on the observation of more than 10 000 leaves of plane trees, four populations of Corythucha ciliata (Say, 1832) (Heteroptera: Tingidae) are investigated. After having introduced some parameters derived from the data, we draw spatial-temporal patterns and describe the seasonal population dynamics of Corythucha ciliata. Amongst others, the temporal change of the density of population, the state plane of larvae–adults, the inclination to accumulate, and the intraspecific competition are examined. Population and biomass dynamics is characterized for populations with and without limited nutrient source in case of different weather circumstances and effects

A population dynamical model of Operophtera brumata, L. extended by climatic factors

Setting out from the database of Operophtera brumata, L. in between 1973 and 2000 due to the Light Trap Network in Hungary, we introduce a simple theta-logistic population dynamical model based on endogenous and exogenous factors, only. We create an indicator set from which we can choose some elements with which we can improve the fitting results the most effectively. Than we extend the basic simple model with additive climatic factors. The parameter optimization is based on the minimized root mean square error. The best model is chosen according to the Akaike Information Criterion. Finally we run the calibrated extended model with daily outputs of the regional climate model RegCM3.1, regarding 1961-1990 as reference period and 2021-2050 with 2071-2100 as future predictions. The results of the three time intervals are fitted with Beta distributions and compared statistically. The expected changes are discussed

Frequency and variability trends of extreme meteorological events in theMoson Plain, Hungary (1961–2018)

Corresponding to the global trends, the territory of Hungary is endangered by extreme weather manifestations. The increased frequency of the unfavorable effects (inland water, flood, drought, heat stress) can be detected. These harmful manifestations result in a significant economic and environmental risk. To investigate adverse environmental effects and risks that have an impact on economic and productive activities is essential. The aim of our research is to present the transformation of the climatic system of the Moson Plain in the northwestern part of Hungary by analyzing special indicators based on daily temperature and precipitation data covering approximately two climatic cycles (1961–1990; 1991–2018). Based on our results, we can report the formation of a warming microclimate with whimsical precipitation rates, which is accompanied by a decrease in low temperature values. At the same time, we can observe more prominent manifestations of heat waves

Revision of the performance evaluation methods of sensory panellists performing descriptive analysis

Sensory tests form the basis for sensory science. Sensory science uses human senses as measurement tools. During sensory tests, the properties of a product are evaluated by sensory panelists and by a sensory panel consisting of them. Decisions made after sensory tests are fundamentally determined by the quality of the data experienced, therefore, the quality of sensory data is determined by the trained and expert sensory sensory panel and its members. In our work, revision of the correlation and regression methods recommended by the standard titled „MSZ ISO 11132:2013 Sensory analysis. Methodology. Guidelines for monitoring the performance of a quantitative sensory panel” are described, and corrections are suggested

Stability of Ampelometric Characteristics of Vitis vinifera L. cv. 'Syrah' and 'Sauvignon blanc' Leaves: Impact of Within-vineyard Variability and Pruning Method/Bud Load

Historically, grapevine (Vitis vinifera L.) leaf characterisation has been a driving force in the identification of cultivars. In this study, ampelometric (foliometric) analysis was done on leaf samples collected from hand-pruned, mechanically pruned and minimally pruned ‘Sauvignon blanc’ and ‘Syrah’ vines to estimate the impact of within-vineyard variability and a change in bud load on the stability of leaf properties. The results showed that within-vineyard variability of ampelometric characteristics was high within a cultivar, irrespective of bud load. In terms of the O.I.V. coding system, zero to four class differences were observed between minimum and maximum values of each characteristic. The value of variability of each characteristic was different between the three levels of bud load and the two cultivars. With respect to bud load, the number of shoots per vine had a significant effect on the characteristics of the leaf laminae. Single leaf area and lengths of veins changed significantly for both cultivars, irrespective of treatment, while angle between veins proved to be a stable characteristic. A large number of biometric data can be recorded on a single leaf; the data measured on several leaves, however, are not necessarily unique for a specific cultivar. The leaf characteristics analysed in this study can be divided into two groups according to the response to a change in bud load, i.e. stable (angles between the veins, depths of sinuses) and variable (length of the veins, length of the petiole, single leaf area). The variable characteristics are not recommended to be used in cultivar identification, unless the pruning method/bud load is known

Termésbiztonsági elemzések a Közép-magyarországi régióban a klímaváltozás tükrében. A szőlő-, a cseresznye- és a meggytermelés helyzete és jövőképe.

A ma rendelkezésre álló informatika infrastruktúra, a naponta gyarapodó adat- és tudásbázisok az extrém időjárási események gyakoriságának statisztikailag igazolható változásait, várható eltolódásait számszerűsítik. Tanulmányunkban a Magyarország területére leskálázott RegCM3.1 regionális klímamodellt használtuk a szőlő-, a cseresznye- és a meggytermesztés egyes kockázati tényezőinek mennyiségi jellemzésére a Közép-magyarországi régió térségében. Vizsgálatainkat a szőlő, a cseresznye és a meggy jövőbeni termésbiztonságára vonatkozó kedvezőtlen hatásokat (sérülékenység), illetve a javuló termesztési feltételeket szintetizáló, azok hasznosságát kifejező függvények, segítségével végeztük el az 1961-1990-es referencia-időszakra, valamint a 2021-2050-es és a 2071-2100-as időszeletre. A sérülékenység és kockázatelemzés a klímapolitika és az alkalmazkodási stratégia fontos eleme, melynek egyik célja a sérülékeny területek, de ugyanígy a pozitív változás előtt álló régiók, kistérségek mind pontosabb feltárása. Ehhez a klímaváltozással összefüggésbe hozható indikátorokat és mutatókat dolgoztunk ki, melyek egyúttal jellemzik az adott mezőgazdasági tevékenységet a termésbiztonság szemszögéből. A magyarországi természetföldrajzi nagytájak, az agroökológiai középtájak (kistérségek), a régiók, a kistérségek és a termőhelyek a klíma- és az időjárás-változás valószínűsíthető hatásaira – adottságaik alapján – azonban nem egyformán érzékenyek és sérülékenyek. A kapott eredmények egy jövőben átfogó Mezőgazdasági Tájérték Index, vagy a klímapolitika szintjén ugyancsak tervezett Nemzeti Alkalmazkodási Index (NAI) kiinduló elemei lehetnek a Közép-magyarországi Régióban