@article{MTMT:31602899,
	title = {Dependence of the crop yields of maize, wheat, barley and rye on temperature and precipitation in Hungary.},
	url = {https://m2.mtmt.hu/api/publication/31602899},
	author = {Czibolya, Lili and Makra, László and Pinke, Zsolt László and Horváth, József and Csépe, Zoltán},
	doi = {10.26471/cjees/2020/015/136},
	journal-iso = {CARPATH J EARTH ENVIRON SCI},
	journal = {CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES},
	volume = {15},
	unique-id = {31602899},
	issn = {1842-4090},
	abstract = {Temperature and precipitation are the most important meteorological variables influencing crop yields of cereals. In the paper we use and compare two procedures, namely Factor analysis with special transformation and multiple linear regression analysis with stepwise method in determining the influence of monthly mean temperatures and monthly precipitation amounts of April, May, June, July and August for determining the crop yields of maize, wheat, barley and lye. When comparing the results received on the two methods, those variables were retained that were concurrently significant for determining the crop yields for both cases. It is found that for maize yield the most important variables in decreasing order are August mean temperature with negative, as well as July and June precipitation amounts with positive association. For wheat yield, June and May mean temperatures, while for barley yield the same but in reverse order are the most important variables, all with negative relationship. Concerning rye yield, April precipitation amount with positive and June mean temperature with negative association are the decisive variables. Among the examined cereals, maize yield is the most sensitive to precipitation. The here-mentioned significant relationships may have a predictive power in projecting the actual crop yield.},
	keywords = {COMPONENTS; PARAMETERS; CEREALS; VARIABILITY; IMPACT; climate change; AGRICULTURE; AGRICULTURE; CLIMATE-CHANGE; environmental factors; North China plain},
	year = {2020},
	eissn = {1844-489X},
	pages = {359-368},
	orcid-numbers = {Makra, László/0000-0001-7424-8963; Pinke, Zsolt László/0000-0001-5644-7256}
}

@article{MTMT:30945995,
	title = {The application of a neural network-based ragweed pollen forecast by the Ragweed Pollen Alarm System in the Pannonian biogeographical region},
	url = {https://m2.mtmt.hu/api/publication/30945995},
	author = {Csépe, Zoltán and Leelőssy, Ádám and Manyoki, G. and Kajtor-Apatini, D. and Udvardy, O. and Peter, B. and Páldy, Anna and Gelybó, Györgyi and Szigeti, Tamás and Pándics, Tamás and Kofol-Seliger, A. and Simcic, A. and Leru, P. M. and Eftimie, A. -M. and Sikoparija, B. and Radisic, P. and Stjepanovic, B. and Hrga, I. and Vecenaj, A. and Vucic, A. and Peros-Pucar, D. and Skoric, T. and Scevkova, J. and Bastl, M. and Berger, U. and Magyar, Donát},
	doi = {10.1007/s10453-019-09615-w},
	journal-iso = {AEROBIOLOGIA},
	journal = {AEROBIOLOGIA},
	volume = {36},
	unique-id = {30945995},
	issn = {0393-5965},
	abstract = {Ragweed Pollen Alarm System (R-PAS) has been running since 2014 to provide pollen information for countries in the Pannonian biogeographical region (PBR). The aim of this study was to develop forecast models of the representative aerobiological monitoring stations, identified by analysis based on a neural network computation. Monitoring stations with 7-day Hirst-type pollen trap having 10-year long validated data set of ragweed pollen were selected for the study from the PBR. Variables including forecasted meteorological data, pollen data of the previous days and nearby monitoring stations were used as input of the model. We used the multilayer perceptron model to forecast the pollen concentration. The multilayer perceptron (MLP) is a feedforward artificial neural network. MLP is a data-driven method to forecast the behaviour of complex systems. In our case, it has three layers, one of which is hidden. MLP utilizes a supervised learning technique called backpropagation for training to get better performance. By testing the neural network, we selected different sets of variables to predict pollen levels for the next 3 days in each of the monitoring stations. The predicted pollen level categories (low-medium-high-very high) are shown on isarithmic map. We used the mean square error, mean absolute error and correlation coefficient metrics to show the forecasting system's performance. The average of the Pearson correlations is around 0.6 but shows big variability (0.13-0.88) among different locations. Model uncertainty is mainly caused by the limitation of the available input data and the variability in ragweed season patterns. Visualization of the results of the neural network forecast on isarithmic maps is a good tool to communicate pollen information to general public in the PBR.},
	keywords = {POLLEN; Neural network; RAGWEED; MLP; FORECAST},
	year = {2020},
	eissn = {1573-3025},
	pages = {131-140},
	orcid-numbers = {Leelőssy, Ádám/0000-0001-9583-0127; Szigeti, Tamás/0000-0001-5078-9503}
}

@mastersthesis{MTMT:30615319,
	title = {Weather related ragweed pollen levels and prediction of ragweed pollen concentration for Szeged, Hungary},
	url = {https://m2.mtmt.hu/api/publication/30615319},
	author = {Csépe, Zoltán},
	doi = {10.14232/phd.9704},
	publisher = {SZTE},
	unique-id = {30615319},
	year = {2018}
}

@article{MTMT:3278799,
	title = {The first record of subtropical insects (Thysanoptera) in central Europe: long-distance transport of airborne thrips, applying three-dimensional backward trajectories},
	url = {https://m2.mtmt.hu/api/publication/3278799},
	author = {Makra, László and Bodnár, Károly and Fülöp, A and Orosz, Szilvia and Szénási, Ágnes and Csépe, Zoltán and Jenser, G and Tusnády, Gábor and Magyar, Donát},
	doi = {10.1111/afe.12260},
	journal-iso = {AGR FOREST ENTOMOL},
	journal = {AGRICULTURAL AND FOREST ENTOMOLOGY},
	volume = {20},
	unique-id = {3278799},
	issn = {1461-9555},
	keywords = {MIGRATION; HYSPLIT model; Zurstrassenia figuratus; Scolothrips tenuipennis; Long-distance dispersion; Frankliniella schultzei},
	year = {2018},
	eissn = {1461-9563},
	pages = {301-326},
	orcid-numbers = {Makra, László/0000-0001-7424-8963; Bodnár, Károly/0000-0003-1328-8253; Orosz, Szilvia/0000-0001-5661-5109}
}

@article{MTMT:3226252,
	title = {Biogeographical drivers of ragweed pollen concentrations in Europe},
	url = {https://m2.mtmt.hu/api/publication/3226252},
	author = {Matyasovszky, István and Makra, László and Tusnády, Gábor and Csépe, Zoltán and Nyúl, László Gábor and Chapman, DS and Sümeghy, Z and Szűcs, G and Páldy, A and Magyar, Donát and Mányoki, G and Erostyák, J and Bodnár, Károly and Bergmann, KC and Deák, JÁ and Thibaudon, M and Albertini, M and Bonini, M and Šikoparija, B and Radišić, P and Gehrig, R and Rybníček, O and Severova, E and Rodinkova, V and Prikhodko, A and Maleeva, A and Stjepanović, B and Ianovici, N and Berger, U and Kofol, Seliger A and Weryszko-Chmielewska, E and Šaulienė, I and Shalaboda, V and Yankova, R and Peternel, R and Ščevková, J and Bullock, JM},
	doi = {10.1007/s00704-017-2184-8},
	journal-iso = {THEORET APPL CLIMAT},
	journal = {THEORETICAL AND APPLIED CLIMATOLOGY},
	volume = {133},
	unique-id = {3226252},
	issn = {0177-798X},
	keywords = {PREVALENCE; exposure; PATTERNS; DISPERSAL; TRENDS; CLIMATE-CHANGE; AMBROSIA-ARTEMISIIFOLIA L.; Common ragweed; AIRBORNE POLLEN; SOURCE INVENTORY},
	year = {2018},
	eissn = {1434-4483},
	pages = {277-295},
	orcid-numbers = {Makra, László/0000-0001-7424-8963; Nyúl, László Gábor/0000-0002-3826-543X; Bodnár, Károly/0000-0003-1328-8253}
}

@article{MTMT:3022350,
	title = {Biogeographical estimates of allergenic pollen transport over regional scales: Common ragweed and Szeged, Hungary as a test case},
	url = {https://m2.mtmt.hu/api/publication/3022350},
	author = {Makra, László and Matyasovszky, István and Tusnády, Gábor and Wang, YQ and Csépe, Zoltán and Bozóki, Zoltán and Nyúl, László Gábor and Erostyák, J and Bodnár, Károly and Sümeghy, Zoltán and Vogel, H and Pauling, A and Páldy, Anna and Magyar, Donát and Mányoki, G and Bergmann, KC and Bonini, M and Šikoparija, B and Radišić, P and Gehrig, R and Kofol, Seliger A and Stjepanović, B and Rodinkova, V and Prikhodko, A and Maleeva, A and Severova, E and Ščevková, J and Ianovici, N and Peternel, R and Thibaudon, M},
	doi = {10.1016/j.agrformet.2016.02.006},
	journal-iso = {AGR FOREST METEOROL},
	journal = {AGRICULTURAL AND FOREST METEOROLOGY},
	volume = {221},
	unique-id = {3022350},
	issn = {0168-1923},
	keywords = {SHRUB; ALGORITHM; particulate matter; Hungary; POLLEN; Italy; Allergy; Cluster Analysis; ATMOSPHERIC POLLUTION; France; United Kingdom; Backward trajectories; AMBROSIA-ARTEMISIIFOLIA L.; CLUSTER-ANALYSIS; ATMOSPHERIC CIRCULATION; Carpathian Basin; Ambrosia; Ambrosia artemisiifolia; pollutant transport; Fejer; Szeged; Trajectory analysis; Mahalanobis distance; Trajectory; AIRBORNE POLLEN; Atmospheric conditions; long-distance transport; biogeographical region; Separation of medium- and long-range transport; Ambrosia pollen transport; RANGE TRANSPORT; URBAN PM10 LEVELS; Granger causality test},
	year = {2016},
	eissn = {1873-2240},
	pages = {94-110},
	orcid-numbers = {Makra, László/0000-0001-7424-8963; Nyúl, László Gábor/0000-0002-3826-543X; Bodnár, Károly/0000-0003-1328-8253}
}

@article{MTMT:3002215,
	title = {Role of education and skills in eco-tourism in Szeged, Hungary. A questionnaire-based study},
	url = {https://m2.mtmt.hu/api/publication/3002215},
	author = {Mihály, Péter Dániel and Ionel, I and Makra, László and Csépe, Zoltán and Matyasovszky, István and Sümeghy, Z and Tusnády, Gábor},
	journal-iso = {J ENVIRON PROT ECOL},
	journal = {JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY},
	volume = {16},
	unique-id = {3002215},
	issn = {1311-5065},
	keywords = {REGION; MIGRATION; education; Ecotourism; Qualifications; Knowledge of languages; Eco-tourism; SUSTAINABLE TOURISM; working conditions},
	year = {2015},
	eissn = {1311-5065},
	pages = {1573-1582},
	orcid-numbers = {Makra, László/0000-0001-7424-8963}
}

@article{MTMT:2971711,
	title = {Városi zöldterületek feltalajainak állapotértékelése és szennyezettség mintázata a funkcionális tagolódás függvényében},
	url = {https://m2.mtmt.hu/api/publication/2971711},
	author = {Puskás, I and Farsang, Andrea and Csépe, Zoltán and Bartus, Máté},
	journal-iso = {TÁJÖKOLÓGIAI LAPOK / J LANDSCAPE ECOL},
	journal = {TÁJÖKOLÓGIAI LAPOK / JOURNAL OF LANDSCAPE ECOLOGY},
	volume = {13},
	unique-id = {2971711},
	issn = {1589-4673},
	year = {2015},
	pages = {115-132},
	orcid-numbers = {Farsang, Andrea/0000-0002-7873-5256}
}

@article{MTMT:2948416,
	title = {Development, data processing and preliminary results of an urban human comfort monitoring and information system},
	url = {https://m2.mtmt.hu/api/publication/2948416},
	author = {Unger, János and Gál, Tamás Mátyás and Csépe, Zoltán and Lelovics, Enikő and Gulyás, Ágnes},
	journal-iso = {IDŐJÁRÁS},
	journal = {IDŐJÁRÁS / QUARTERLY JOURNAL OF THE HUNGARIAN METEOROLOGICAL SERVICE},
	volume = {119},
	unique-id = {2948416},
	issn = {0324-6329},
	year = {2015},
	eissn = {0324-6329},
	pages = {337-354},
	orcid-numbers = {Unger, János/0000-0002-0637-0091; Gál, Tamás Mátyás/0000-0002-1761-3239; Gulyás, Ágnes/0000-0002-1515-0517}
}

@article{MTMT:2776684,
	title = {Weather elements, chemical air pollutants and airborne pollen influencing asthma emergency room visits in Szeged, Hungary: performance of two objective weather classifications.},
	url = {https://m2.mtmt.hu/api/publication/2776684},
	author = {Makra, László and Puskás, János and Matyasovszky, István and Csépe, Zoltán and Lelovics, Enikő and Bálint, B and Tusnády, Gábor},
	doi = {10.1007/s00484-014-0938-x},
	journal-iso = {INT J BIOMETEOROL},
	journal = {INTERNATIONAL JOURNAL OF BIOMETEOROLOGY},
	volume = {59},
	unique-id = {2776684},
	issn = {0020-7128},
	keywords = {air pollution; Forecasting; pollen allergy; TIME-SERIES ANALYSIS; ENVIRONMENTAL-FACTORS; NEW-YORK-CITY; HOSPITAL ADMISSIONS; Spatial Synoptic Classification (SSC) weather types; Spatial Synoptic Classification (SSC) weather types; Objective weather types; Asthma emergency visits; Asthma emergency visits; RESPIRATORY CONDITIONS; MASS TYPES; DEPARTMENT VISITS; 10 CANADIAN CITIES; HEAT-RELATED MORTALITY; SPATIAL SYNOPTIC CLASSIFICATION},
	year = {2015},
	eissn = {1432-1254},
	pages = {1269-1289},
	orcid-numbers = {Makra, László/0000-0001-7424-8963; Puskás, János/0000-0003-2563-8839}
}