@article{MTMT:2700918,
	title = {Interdiurnal variability of Artemisia, Betula and Poaceae pollen counts and their association with meteorological parameters.},
	url = {https://m2.mtmt.hu/api/publication/2700918},
	author = {Makra, László and Csépe, Zoltán and Matyasovszky, István and Deák, ÁJ and Pál-Molnár, Elemér and Tusnády, Gábor},
	journal-iso = {CARPATH J EARTH ENVIRON SCI},
	journal = {CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES},
	volume = {9},
	unique-id = {2700918},
	issn = {1842-4090},
	year = {2014},
	eissn = {1844-489X},
	pages = {207-220},
	orcid-numbers = {Makra, László/0000-0001-7424-8963; Pál-Molnár, Elemér/0000-0002-9606-0133}
}

@article{MTMT:2110962,
	title = {Climate sensitivity of allergenic taxa in Central Europe associated with new climate change – related forces.},
	url = {https://m2.mtmt.hu/api/publication/2110962},
	author = {Deák, JÁ and Makra, László and Matyasovszky, István and Csépe, Zoltán and Muladi, Beáta},
	doi = {10.1016/j.scitotenv.2012.10.067},
	journal-iso = {SCI TOTAL ENVIRON},
	journal = {SCIENCE OF THE TOTAL ENVIRONMENT},
	volume = {442},
	unique-id = {2110962},
	issn = {0048-9697},
	abstract = {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.},
	keywords = {PREVALENCE; CAPACITY; POLLEN; Spain; IMPACT; Austria; climate change; Asthma; TRENDS; Ecosystems; AIR-POLLUTION; trend; Ecological indicator; AIRBORNE POLLEN; Respiratory allergy; pollen season},
	year = {2013},
	eissn = {1879-1026},
	pages = {36-47},
	orcid-numbers = {Makra, László/0000-0001-7424-8963}
}

@article{MTMT:1982549,
	title = {The influence of extreme high and low temperatures and precipitation totals on pollen seasons of Ambrosia, Poaceae and Populus in Szeged, southern Hungary},
	url = {https://m2.mtmt.hu/api/publication/1982549},
	author = {Makra, László and Matyasovszky, István and Páldy, Anna and Deák, A},
	doi = {10.1080/00173134.2012.661764},
	journal-iso = {GRANA},
	journal = {GRANA},
	volume = {51},
	unique-id = {1982549},
	issn = {0017-3134},
	abstract = {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.},
	year = {2012},
	eissn = {1651-2049},
	pages = {215-227},
	orcid-numbers = {Makra, László/0000-0001-7424-8963}
}

@article{MTMT:2073235,
	title = {Associations between weather conditions and ragweed pollen variations in Szeged, Hungary},
	url = {https://m2.mtmt.hu/api/publication/2073235},
	author = {Matyasovszky, István and Makra, László and Csépe, Zoltán},
	doi = {10.2478/10004-1254-63-2012-2246},
	journal-iso = {ARH HIG RADA TOKSIKOL / ARCH IND HYG TOXICHOL},
	journal = {ARHIV ZA HIGIJENU RADA I TOKSIKOLOGIJU / ARCHIVES OF INDUSTRIAL HYGIENE AND TOXICOLOGY},
	volume = {63},
	unique-id = {2073235},
	issn = {0004-1254},
	year = {2012},
	eissn = {1848-6312},
	pages = {311-320},
	orcid-numbers = {Makra, László/0000-0001-7424-8963}
}

@article{MTMT:1659077,
	title = {Assessment of the Daily Ragweed Pollen Concentration with Previous-Day Meteorological Variables Using Regression and Quantile Regression Analysis for Szeged, Hungary},
	url = {https://m2.mtmt.hu/api/publication/1659077},
	author = {Makra, László and Matyasovszky, István},
	doi = {10.1007/s10453-010-9194-7},
	journal-iso = {AEROBIOLOGIA},
	journal = {AEROBIOLOGIA},
	volume = {27},
	unique-id = {1659077},
	issn = {0393-5965},
	abstract = {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.},
	year = {2011},
	eissn = {1573-3025},
	pages = {247-259},
	orcid-numbers = {Makra, László/0000-0001-7424-8963}
}

@article{MTMT:1661413,
	title = {Trends in the characteristics of allergenic pollen circulation in Central Europe based on the example of Szeged, Hungary},
	url = {https://m2.mtmt.hu/api/publication/1661413},
	author = {Makra, László and Matyasovszky, István and Deák, JÁ},
	doi = {10.1016/j.atmosenv.2011.07.051},
	journal-iso = {ATMOS ENVIRON},
	journal = {ATMOSPHERIC ENVIRONMENT},
	volume = {45},
	unique-id = {1661413},
	issn = {1352-2310},
	abstract = {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.},
	keywords = {POLLEN; Seasons; Spain; IMPACT; START; SWITZERLAND; climate change; CLIMATE-CHANGE; pollination; trend; birch; AIRBORNE POLLEN; LINEAR-REGRESSION SMOOTHERS; Respiratory allergy; Pollination season},
	year = {2011},
	eissn = {1873-2844},
	pages = {6010-6018},
	orcid-numbers = {Makra, László/0000-0001-7424-8963}
}

@article{MTMT:1658813,
	title = {Airborne pollen in three European cities: Detection of atmospheric circulation pathways by applying three-dimensional clustering of backward trajectories},
	url = {https://m2.mtmt.hu/api/publication/1658813},
	author = {Makra, László and Sánta, T and Matyasovszky, István and Damialis, A and Karatzas, K and Bergmann, KC and Vokou, D},
	doi = {10.1029/2010JD014743},
	journal-iso = {J GEOPHYS RES ATMOS},
	journal = {JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES},
	volume = {115},
	unique-id = {1658813},
	issn = {2169-897X},
	abstract = {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.},
	year = {2010},
	eissn = {2169-8996},
	orcid-numbers = {Makra, László/0000-0001-7424-8963}
}

@book{MTMT:1227957,
	title = {Új magyar füvészkönyv. Magyarország hajtásos növényei. Határozókulcsok},
	url = {https://m2.mtmt.hu/api/publication/1227957},
	isbn = {9789638708298},
	editor = {Király, Botond Gergely},
	publisher = {Aggtelek National Park Directorate},
	unique-id = {1227957},
	year = {2009},
	orcid-numbers = {Király, Botond Gergely/0000-0002-8439-2616}
}

@book{MTMT:123026,
	title = {FLÓRA Adatbázis 1.2. Taxon-lista és attribútum-állomány},
	url = {https://m2.mtmt.hu/api/publication/123026},
	isbn = {9638391197},
	author = {Horváth, Ferenc and Dobolyi, KZ and Morschhauser, Tamás and Lőkös, László and Karas, L and Szerdahelyi, T},
	publisher = {MTA ÖBKI; Magyar Természettudományi Múzeum Növénytár},
	unique-id = {123026},
	year = {1995},
	orcid-numbers = {Lőkös, László/0000-0001-5301-6426}
}