TY - JOUR AU - Makra, László AU - Csépe, Zoltán AU - Matyasovszky, István AU - Deák, ÁJ AU - Pál-Molnár, Elemér AU - Tusnády, Gábor TI - Interdiurnal variability of Artemisia, Betula and Poaceae pollen counts and their association with meteorological parameters. JF - CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES J2 - CARPATH J EARTH ENVIRON SCI VL - 9 PY - 2014 IS - 3 SP - 207 EP - 220 PG - 14 SN - 1842-4090 UR - https://m2.mtmt.hu/api/publication/2700918 ID - 2700918 LA - English DB - MTMT ER - TY - JOUR AU - Deák, JÁ AU - Makra, László AU - Matyasovszky, István AU - Csépe, Zoltán AU - Muladi, Beáta TI - Climate sensitivity of allergenic taxa in Central Europe associated with new climate change – related forces. JF - SCIENCE OF THE TOTAL ENVIRONMENT J2 - SCI TOTAL ENVIRON VL - 442 PY - 2013 SP - 36 EP - 47 PG - 12 SN - 0048-9697 DO - 10.1016/j.scitotenv.2012.10.067 UR - https://m2.mtmt.hu/api/publication/2110962 ID - 2110962 N1 - Megjegyzés-26315577 Megjegyzés-23484159 FN: Thomson Reuters Web of Knowledge AB - The aim of the study was to analyse trends of the pollen season with its duration, start and end dates, as well as trends of the annual total pollen count and annual peak pollen concentration for the Szeged agglomeration in Southern Hungary. The data set covered an 11-year period (1997-2007) that included eight taxa and seven daily climate variables. Trend analysis was performed on both annual and daily bases. Trend analysis on a daily basis is a new approach that provides information on the annual cycles of the trends. To quantify the strength of the relationship between the annual cycle of the slope of a pollen concentration trend and the annual cycles of the slopes of the climate variable trends, an association measure and a multiple association measure are introduced. Individual taxa were sorted into three categories according to their climate sensitivities. These were compared with two novel climate change-related forces, namely risk potential and expansion potential due to the climate change. The total annual pollen counts indicated significant trends for 4 taxa and 3 of these 4 trends increased on a daily basis. At the same time, significant changes were detected for the pollen season characteristics of three taxa. The association measures performed well when compared to the climate change-related forces. Significant changes in pollen season characteristics were also in accordance with the risk potential and expansion potential due to the climate change. A novel procedure was applied to separate the effects of the past and current weather conditions that influence the current Ambrosia pollen concentrations. The potential effect of land use changes on pollen release of the given taxa was also discussed using the CORINE Land Cover Database. LA - English DB - MTMT ER - TY - JOUR AU - Makra, László AU - Matyasovszky, István AU - Páldy, Anna AU - Deák, A TI - The influence of extreme high and low temperatures and precipitation totals on pollen seasons of Ambrosia, Poaceae and Populus in Szeged, southern Hungary JF - GRANA J2 - GRANA VL - 51 PY - 2012 IS - 3 SP - 215 EP - 227 PG - 13 SN - 0017-3134 DO - 10.1080/00173134.2012.661764 UR - https://m2.mtmt.hu/api/publication/1982549 ID - 1982549 N1 - Megjegyzés-27452093 OA gold_or_bronze Megjegyzés-23469833 FN: Thomson Reuters Web of Knowledge Cited By :13 Export Date: 14 July 2021 CODEN: GRNAB Correspondence Address: Makra, L.; Department of Climatology and Landscape Ecology, PO Box 653, HU-6701 Szeged, Hungary; email: makra@geo.u-szeged.hu Funding details: European Social Fund, ESF, TAMOP 4.2.1/B-09/1/ KONV-2010-0005 Funding text 1: The authors would like to thank Miklós Juhász for providing the pollen data of Szeged and Zoltán Sümeghy for the digital mapping in Figure 1. The European Union and the European Social Fund provided financial support for the project under the grant agreement umbers TAMOP 4.2.1/B-09/1/KMR-2010-0003 and TAMOP 4.2.1/B-09/1/ KONV-2010-0005. AB - Extreme high and low temperatures and precipitation totals may have important effect on daily and annual pollen concentrations. The aim of this study is to analyse the associations between pollen characteristics and meteorological variables, furthermore between the rank of pollen characteristics and the rank of annual values of meteorological variables for Szeged, southern Hungary. Pollen characteristics include pollen count parameters (TPA, total annual pollen amount; APC, annual peak pollen concentration) and pollen season parameters (start, end and duration of the pollen season). Meteorological variables are temperature and precipitation. The data set used covers a 14- year period (1997-2010) and contains daily values of Ambrosia (ragweed), Poaceae (grasses) and Populus (poplar) pollen concentrations, as well as those of temperature and precipitation. Both Pearson and Spearman rank correlations were calculated, because the rank correlation is less sensitive than the correlation to outliers that are in the tails of the sample. Our results suggest that Ambrosia and Populus are reversely related to temperature (negative correlations), while Poaceae exhibit a parallel relationship with precipitation (positive correlations). On the whole, pollen count characteristics (TPA and APC) indicate a decrease for Ambrosia and Poaceae, while for Populus an increase is expected. LA - English DB - MTMT ER - TY - JOUR AU - Matyasovszky, István AU - Makra, László AU - Csépe, Zoltán TI - Associations between weather conditions and ragweed pollen variations in Szeged, Hungary JF - ARHIV ZA HIGIJENU RADA I TOKSIKOLOGIJU / ARCHIVES OF INDUSTRIAL HYGIENE AND TOXICOLOGY J2 - ARH HIG RADA TOKSIKOL / ARCH IND HYG TOXICHOL VL - 63 PY - 2012 IS - 3 SP - 311 EP - 320 PG - 10 SN - 0004-1254 DO - 10.2478/10004-1254-63-2012-2246 UR - https://m2.mtmt.hu/api/publication/2073235 ID - 2073235 N1 - Department of Meteorology, Eötvös Loránd University, Budapest, University of Szeged, Szeged, Hungary Department of Climatology and Landscape Ecology, University of Szeged, P.O. Box 653, H-6701 Szeged, Hungary Cited By :1 Export Date: 14 July 2021 CODEN: AHRTA Correspondence Address: Makra, L.; Department of Climatology and Landscape Ecology, P.O. Box 653, H-6701 Szeged, Hungary; email: makra@geo.u-szeged.hu Funding details: European Commission, EC Funding details: European Social Fund, ESF LA - English DB - MTMT ER - TY - JOUR AU - Makra, László AU - Matyasovszky, István TI - Assessment of the Daily Ragweed Pollen Concentration with Previous-Day Meteorological Variables Using Regression and Quantile Regression Analysis for Szeged, Hungary JF - AEROBIOLOGIA J2 - AEROBIOLOGIA VL - 27 PY - 2011 IS - 3 SP - 247 EP - 259 PG - 13 SN - 0393-5965 DO - 10.1007/s10453-010-9194-7 UR - https://m2.mtmt.hu/api/publication/1659077 ID - 1659077 N1 - Cited By :10 Export Date: 14 July 2021 CODEN: AROBF Correspondence Address: Makra, L.; Department of Climatology and Landscape Ecology, P.O.B. 653, Szeged 6701, Hungary; email: makra@geo.u-szeged.hu Funding details: European Commission, EC Funding details: European Social Fund, ESF Funding text 1: Acknowledgments The authors would like to thank Miklós Juhász for providing pollen data of Szeged, and Zoltán Sümeghy for the digital mapping in Fig. 1. The European Union and the European Social Fund have provided financial support to the project under the grant agreement no. TÁMOP 4.2.1./B-09/1/KMR-2010-0003. AB - The aim of this paper is to analyse how meteorological elements relate to extreme Ambrosia pollen load on the one hand and to extreme total pollen load excluding Ambrosia pollen on the other for Szeged, Southern Hungary. The data set comes from a 9-year period (1999-2007) and includes previous-day means of five meteorological variables and actual-day values of the two pollen variables. Factor analysis with special transformation was performed on the meteorological and pollen load data in order to find out the strength and direction of the association of the meteorological and pollen variables. Then, using selected low and high quantiles corresponding to probability distributions of Ambrosia pollen and the remaining pollen loads, the quantile and beyond-quantile averages of pollen loads were compared and evaluated. Finally, a nearest neighbour (NN) technique was applied to discriminate between extreme and non-extreme pollen events using meteorological elements as explaining variables. The observed below or above quantile events are compared with events obtained from NN decisions. The number of events exceeding the quantile of 90% and not exceeding that of 10% is strongly underestimated. However, the procedure works well for quantiles of 20 and 80%, and even better for those of 30 and 70%. Using a nearest neighbour technique, explaining variables in decreasing order of their influence on Ambrosia pollen load are temperature, global solar flux, relative humidity, air pressure and wind speed, while on the load of the remaining pollen are temperature, relative humidity, global solar flux, air pressure and wind speed. © 2011 Springer Science+Business Media B.V. LA - English DB - MTMT ER - TY - JOUR AU - Makra, László AU - Matyasovszky, István AU - Deák, JÁ TI - Trends in the characteristics of allergenic pollen circulation in Central Europe based on the example of Szeged, Hungary JF - ATMOSPHERIC ENVIRONMENT J2 - ATMOS ENVIRON VL - 45 PY - 2011 IS - 33 SP - 6010 EP - 6018 PG - 9 SN - 1352-2310 DO - 10.1016/j.atmosenv.2011.07.051 UR - https://m2.mtmt.hu/api/publication/1661413 ID - 1661413 AB - The aim of the study is to analyse trends of the pollination season with its start and end dates, as well as trends of the annual total pollen count and annual peak pollen concentration for the Szeged agglomeration in Southern Hungary. The data set covers an 11-year period (1999-2009) and includes one of the largest spectra, with 19 taxa, as well as seven meteorological variables (minimum-, maximum- and mean temperature, total radiation, relative humidity, rainfall and wind speed). For highly skewed data, such as the annual total number of pollen counts or annual peak pollen concentrations, the Mann-Kendall test has a substantially greater predictive power than the t- test. After performing Mann-Kendall tests, the annual cycles of daily slopes of pollen concentration trends and annual cycles of daily slopes of climate variable trends are calculated. This kind of trend analysis is a novel approach as it provides information on annual cycles of trends. In order to represent the strength of their relationships an association measure (AM) and a multiple association measure (MAM) are introduced. Based on climate sensitivity, the individual taxa are sorted into three categories. The results obtained for the pollen quantity and phenological characteristics are compared with two novel climate change related categories, namely risk and expansion potential due to the climate change for each taxon. The total annual pollen count and annual peak pollen concentrations indicate a small number of changes when using ordinary linear trends, while the total annual pollen count calculated via daily linear trends show significant trends (70% of them positive) for almost all taxa. However, except for Poaceae and Urtica, there is no significant change in the duration of the pollination season. The association measure performs well compared to the climate change related forces. Furthermore, remarkable changes in pollen season characteristics are also in accordance with the risk and expansion potential due to climate change. © 2011 Elsevier Ltd. LA - English DB - MTMT ER - TY - JOUR AU - Makra, László AU - Sánta, T AU - Matyasovszky, István AU - Damialis, A AU - Karatzas, K AU - Bergmann, KC AU - Vokou, D TI - Airborne pollen in three European cities: Detection of atmospheric circulation pathways by applying three-dimensional clustering of backward trajectories JF - JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES J2 - J GEOPHYS RES ATMOS VL - 115 PY - 2010 IS - 24 PG - 16 SN - 2169-897X DO - 10.1029/2010JD014743 UR - https://m2.mtmt.hu/api/publication/1658813 ID - 1658813 AB - The long-range transport of particulates can substantially contribute to local air pollution. The importance of airborne pollen has grown due to the recent climate change; the lengthening of the pollen season and rising mean airborne pollen concentrations have increased health risks. Our aim is to identify atmospheric circulation pathways influencing pollen levels in three European cities, namely Thessaloniki, Szeged, and Hamburg. Trajectories were computed using the HYSPLIT model. The 4 day, 6 hourly three-dimensional (3-D) backward trajectories arriving at these locations at 1200 UT are produced for each day over a 5 year period. A k-means clustering algorithm using the Mahalanobis metric was applied in order to develop trajectory types. The delimitation of the clusters performed by the 3-D function "convhull" is a novel approach. The results of the cluster analysis reveal that the main pathways for Thessaloniki contributing substantially to the high mean Urticaceae pollen levels cover western Europe and the Mediterranean. The key pathway patterns for Ambrosia for Szeged are associated with backward trajectories coming from northwestern Europe, northeastern Europe, and northern Europe. A major pollen source identified is a cluster over central Europe, namely the Carpathian basin with peak values in Hungary. The principal patterns for Poaceae for Hamburg include western Europe and the mid-Atlantic region. Locations of the source areas coincide with the main habitat regions of the species in question. Critical daily pollen number exceedances conditioned on the clusters were also evaluated using two statistical indices. An attempt was made to separate medium-and long-range airborne pollen transport. LA - English DB - MTMT ER - TY - BOOK ED - Király, Botond Gergely TI - Új magyar füvészkönyv. Magyarország hajtásos növényei. Határozókulcsok TS - Magyarország hajtásos növényei. Határozókulcsok ET - 0 PB - Aggteleki Nemzeti Park Igazgatóság CY - Jósvafő PY - 2009 SP - 616 SN - 9789638708298 UR - https://m2.mtmt.hu/api/publication/1227957 ID - 1227957 LA - Hungarian DB - MTMT ER - TY - BOOK AU - Horváth, Ferenc AU - Dobolyi, KZ AU - Morschhauser, Tamás AU - Lőkös, László AU - Karas, L AU - Szerdahelyi, T TI - FLÓRA Adatbázis 1.2. Taxon-lista és attribútum-állomány TS - Taxon-lista és attribútum-állomány ET - 0 PB - Magyar Természettudományi Múzeum Növénytár CY - Budapest CY - Vácrátót PY - 1995 SP - 267 SN - 9638391197 UR - https://m2.mtmt.hu/api/publication/123026 ID - 123026 LA - English DB - MTMT ER -