TY - JOUR AU - Csépe, Zoltán AU - Leelőssy, Ádám AU - Manyoki, G. AU - Kajtor-Apatini, D. AU - Udvardy, O. AU - Peter, B. AU - Páldy, Anna AU - Gelybó, Györgyi AU - Szigeti, Tamás AU - Pándics, Tamás AU - Kofol-Seliger, A. AU - Simcic, A. AU - Leru, P. M. AU - Eftimie, A. -M. AU - Sikoparija, B. AU - Radisic, P. AU - Stjepanovic, B. AU - Hrga, I. AU - Vecenaj, A. AU - Vucic, A. AU - Peros-Pucar, D. AU - Skoric, T. AU - Scevkova, J. AU - Bastl, M. AU - Berger, U. AU - Magyar, Donát TI - The application of a neural network-based ragweed pollen forecast by the Ragweed Pollen Alarm System in the Pannonian biogeographical region JF - AEROBIOLOGIA J2 - AEROBIOLOGIA VL - 36 PY - 2020 IS - 2 SP - 131 EP - 140 PG - 10 SN - 0393-5965 DO - 10.1007/s10453-019-09615-w UR - https://m2.mtmt.hu/api/publication/30945995 ID - 30945995 N1 - National Public Health Center, Budapest, Hungary National Laboratory of Health, Environment and Food, Ljubljana, Slovenia Colentina Clinical Hospital - Research Department, Bucharest, Romania BioSenseInstitute-Research Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, Serbia Andrija Stampar Teaching Institute of Public Health, Zagreb, Croatia Institute of Public Health Zadar, Zadar, Croatia Public Health Institute, Subotica, Serbia Department of Botany, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia Department of Oto-Rhino-Laryngology, Medical University of Vienna, Vienna, Austria Cited By :4 Export Date: 8 September 2021 CODEN: AROBF Correspondence Address: Magyar, D.; National Public Health CenterHungary; email: magyar.donat@gmail.com AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Szatmári, Gábor AU - Bakacsi, Zsófia AU - Laborczi, Annamária AU - Petrik, Ottó AU - Pataki, Róbert AU - Tóth, Tibor AU - Pásztor, László TI - Elaborating Hungarian Segment of the Global Map of Salt-Affected Soils (GSSmap): National Contribution to an International Initiative JF - REMOTE SENSING J2 - REMOTE SENS-BASEL VL - 12 PY - 2020 IS - 24 PG - 19 SN - 2072-4292 DO - 10.3390/rs12244073 UR - https://m2.mtmt.hu/api/publication/31775853 ID - 31775853 N1 - Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 9 February 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 22 February 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 8 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 9 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 10 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Export Date: 12 March 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 28 April 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 14 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 17 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 19 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 31 May 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 19 July 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Budapest, H-1022, Hungary Department of Soil Science and Environmental Informatics, Georgikon Faculty, Szent István University, Keszthely, H-8360, Hungary Lechner Knowledge Center, Budapest, H-1149, Hungary Cited By :1 Export Date: 11 August 2021 Correspondence Address: Laborczi, A.; Institute for Soil Sciences and Agricultural Chemistry, Hungary; email: laborczi@rissac.hu LA - English DB - MTMT ER - TY - JOUR AU - Szatmári, Gábor AU - Pirkó, Béla AU - Koós, Sándor AU - Laborczi, Annamária AU - Bakacsi, Zsófia AU - Szabó, József AU - Pásztor, László TI - Spatio-temporal assessment of topsoil organic carbon stock change in Hungary JF - SOIL & TILLAGE RESEARCH J2 - SOIL TILL RES VL - 195 PY - 2019 PG - 12 SN - 0167-1987 DO - 10.1016/j.still.2019.104410 UR - https://m2.mtmt.hu/api/publication/30807941 ID - 30807941 N1 - Export Date: 30 September 2019 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15., Hungary; email: koos@rissac.hu Cited By :1 Export Date: 22 January 2020 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15., Hungary; email: koos@rissac.hu Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI Funding text 1: Our work was supported by the National Research, Development and Innovation Office (NKFIH; Grant No. KH-126725 ) and the Premium Postdoctoral Scholarship of the Hungarian Academy of Sciences ( PREMIUM-2019-390 ) (Gábor Szatmári). The authors thank Bradley A. Miller and an anonymous reviewer for their helpful and constructive comments that helped to improve the manuscript. Cited By :1 Export Date: 31 January 2020 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15., Hungary; email: koos@rissac.hu Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI Funding text 1: Our work was supported by the National Research, Development and Innovation Office (NKFIH; Grant No. KH-126725 ) and the Premium Postdoctoral Scholarship of the Hungarian Academy of Sciences ( PREMIUM-2019-390 ) (Gábor Szatmári). The authors thank Bradley A. Miller and an anonymous reviewer for their helpful and constructive comments that helped to improve the manuscript. Cited By :2 Export Date: 15 April 2020 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15., Hungary; email: koos@rissac.hu Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI Funding text 1: Our work was supported by the National Research, Development and Innovation Office (NKFIH; Grant No. KH-126725 ) and the Premium Postdoctoral Scholarship of the Hungarian Academy of Sciences ( PREMIUM-2019-390 ) (Gábor Szatmári). The authors thank Bradley A. Miller and an anonymous reviewer for their helpful and constructive comments that helped to improve the manuscript. Cited By :2 Export Date: 22 May 2020 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15., Hungary; email: koos@rissac.hu Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI Funding text 1: Our work was supported by the National Research, Development and Innovation Office (NKFIH; Grant No. KH-126725 ) and the Premium Postdoctoral Scholarship of the Hungarian Academy of Sciences ( PREMIUM-2019-390 ) (Gábor Szatmári). The authors thank Bradley A. Miller and an anonymous reviewer for their helpful and constructive comments that helped to improve the manuscript. Cited By :2 Export Date: 2 July 2020 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15., Hungary; email: koos@rissac.hu Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI Funding text 1: Our work was supported by the National Research, Development and Innovation Office (NKFIH; Grant No. KH-126725 ) and the Premium Postdoctoral Scholarship of the Hungarian Academy of Sciences ( PREMIUM-2019-390 ) (Gábor Szatmári). The authors thank Bradley A. Miller and an anonymous reviewer for their helpful and constructive comments that helped to improve the manuscript. Cited By :3 Export Date: 14 July 2020 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman Ottó út 15., Hungary; email: koos@rissac.hu Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFI Funding text 1: Our work was supported by the National Research, Development and Innovation Office (NKFIH; Grant No. KH-126725 ) and the Premium Postdoctoral Scholarship of the Hungarian Academy of Sciences ( PREMIUM-2019-390 ) (Gábor Szatmári). The authors thank Bradley A. Miller and an anonymous reviewer for their helpful and constructive comments that helped to improve the manuscript. Cited By :7 Export Date: 10 March 2021 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Herman Ottó út 15., Hungary; email: koos@rissac.hu Cited By :7 Export Date: 12 March 2021 CODEN: SOTRD Correspondence Address: Koós, S.; Institute for Soil Sciences and Agricultural Chemistry, Herman Ottó út 15., Hungary; email: koos@rissac.hu LA - English DB - MTMT ER - TY - JOUR AU - Szatmári, Gábor AU - Pásztor, László TI - Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms JF - GEODERMA J2 - GEODERMA VL - 337 PY - 2019 SP - 1329 EP - 1340 PG - 12 SN - 0016-7061 DO - 10.1016/j.geoderma.2018.09.008 UR - https://m2.mtmt.hu/api/publication/3413675 ID - 3413675 LA - English DB - MTMT ER - TY - JOUR AU - Hidy, Dóra AU - Barcza, Zoltán AU - Marjanović, H. AU - Ostrogović Sever, M. Z. AU - Dobor, Laura AU - Gelybó, Györgyi AU - Fodor, Nándor AU - Pintér, Krisztina AU - Churkina, G. AU - Running, S. AU - Thornton, P. AU - Bellocchi, G. AU - Haszpra, László AU - Horváth, Ferenc AU - Suyker, A. AU - Nagy, Zoltán TI - Terrestrial Ecosystem Process Model Biome-BGCMuSo: Summary of improvements and new modeling possibilities JF - GEOSCIENTIFIC MODEL DEVELOPMENT J2 - GEOSCI MODEL DEV VL - 9 PY - 2016 IS - 12 SP - 4405 EP - 4437 PG - 33 SN - 1991-959X DO - 10.5194/gmd-9-4405-2016 UR - https://m2.mtmt.hu/api/publication/3076278 ID - 3076278 N1 - MTA, Plant Ecology Research Group, Szent István University, Páter K. u.1, Gödöll, 2103, Hungary Department of Meteorology, Eötvös Loránd University, Pázmány P. sétány 1/A, Budapest, 1117, Hungary Croatian Forest Research Institute, Department for Forest Management and Forestry Economics, Cvjetno naselje 41, Jastrebarsko, 10450, Croatia Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman O. út 15, Budapest, 1163, Hungary Agricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Brunszvik u. 2, Martonvásár, 2462, Hungary Institute for Advanced Sustainability Studies, Berliner Strasse 130, Potsdam, 14467, Germany Numerical Terradynamic Simulation Group, Department of Ecosystem and Conservation, Sciences University of Montana, Missoula, MT 59812, United States Climate Change Science Institute, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States UREP, INRA, Clermont-Ferrand, 63000, France Hungarian Meteorological Service, P.O. Box 39, Budapest, 1675, Hungary Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4, Vácrátót, 2163, Hungary School of Natural Resources, University of Nebraska-Lincoln, 806 Hardin Hall, Lincoln, NE 68588, United States Geodetic and Geophysical Institute, MTA Research Centre for Astronomy and Earth Sciences, Csatkai Endre utca 6-8, Sopron, 9400, Hungary Czech University of Life Sciences, Faculty of Forestry and Wood Sciences, Department of Forest Protection and Entomology, Kamýcká 129, Prague, 16521, Czech Republic Geography Department, Humboldt University of Berlin, Berlin, Germany Cited By :10 Export Date: 25 July 2019 Correspondence Address: Hidy, D.; MTA, Plant Ecology Research Group, Szent István University, Páter K. u.1, Hungary; email: dori.hidy@gmail.com MTA, Plant Ecology Research Group, Szent István University, Páter K. u.1, Gödöll, 2103, Hungary Department of Meteorology, Eötvös Loránd University, Pázmány P. sétány 1/A, Budapest, 1117, Hungary Croatian Forest Research Institute, Department for Forest Management and Forestry Economics, Cvjetno naselje 41, Jastrebarsko, 10450, Croatia Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman O. út 15, Budapest, 1163, Hungary Agricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Brunszvik u. 2, Martonvásár, 2462, Hungary Institute for Advanced Sustainability Studies, Berliner Strasse 130, Potsdam, 14467, Germany Numerical Terradynamic Simulation Group, Department of Ecosystem and Conservation, Sciences University of Montana, Missoula, MT 59812, United States Climate Change Science Institute, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States UREP, INRA, Clermont-Ferrand, 63000, France Hungarian Meteorological Service, P.O. Box 39, Budapest, 1675, Hungary Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4, Vácrátót, 2163, Hungary School of Natural Resources, University of Nebraska-Lincoln, 806 Hardin Hall, Lincoln, NE 68588, United States Geodetic and Geophysical Institute, MTA Research Centre for Astronomy and Earth Sciences, Csatkai Endre utca 6-8, Sopron, 9400, Hungary Czech University of Life Sciences, Faculty of Forestry and Wood Sciences, Department of Forest Protection and Entomology, Kamýcká 129, Prague, 16521, Czech Republic Geography Department, Humboldt University of Berlin, Berlin, Germany Cited By :12 Export Date: 27 February 2020 Correspondence Address: Hidy, D.; MTA, Plant Ecology Research Group, Szent István University, Páter K. u.1, Hungary; email: dori.hidy@gmail.com MTA, Plant Ecology Research Group, Szent István University, Páter K. u.1, Gödöll, 2103, Hungary Department of Meteorology, Eötvös Loránd University, Pázmány P. sétány 1/A, Budapest, 1117, Hungary Croatian Forest Research Institute, Department for Forest Management and Forestry Economics, Cvjetno naselje 41, Jastrebarsko, 10450, Croatia Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Herman O. út 15, Budapest, 1163, Hungary Agricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Brunszvik u. 2, Martonvásár, 2462, Hungary Institute for Advanced Sustainability Studies, Berliner Strasse 130, Potsdam, 14467, Germany Numerical Terradynamic Simulation Group, Department of Ecosystem and Conservation, Sciences University of Montana, Missoula, MT 59812, United States Climate Change Science Institute, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States UREP, INRA, Clermont-Ferrand, 63000, France Hungarian Meteorological Service, P.O. Box 39, Budapest, 1675, Hungary Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4, Vácrátót, 2163, Hungary School of Natural Resources, University of Nebraska-Lincoln, 806 Hardin Hall, Lincoln, NE 68588, United States Geodetic and Geophysical Institute, MTA Research Centre for Astronomy and Earth Sciences, Csatkai Endre utca 6-8, Sopron, 9400, Hungary Czech University of Life Sciences, Faculty of Forestry and Wood Sciences, Department of Forest Protection and Entomology, Kamýcká 129, Prague, 16521, Czech Republic Geography Department, Humboldt University of Berlin, Berlin, Germany Cited By :21 Export Date: 16 March 2021 Correspondence Address: Hidy, D.; MTA, Páter K. u.1, Hungary; email: dori.hidy@gmail.com LA - English DB - MTMT ER - TY - JOUR AU - Fodor, Nándor AU - Pásztor, László AU - Németh, Tamás TI - Coupling the 4M crop model with national geo-databases for assessing the effects of climate change on agro-ecological characteristics of Hungary JF - INTERNATIONAL JOURNAL OF DIGITAL EARTH J2 - INT J DIGIT EARTH VL - 7 PY - 2014 IS - 5 SP - 391 EP - 410 PG - 20 SN - 1753-8947 DO - 10.1080/17538947.2012.689998 UR - https://m2.mtmt.hu/api/publication/1980629 ID - 1980629 N1 - Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary Hungarian Academy of Sciences, Budapest, Hungary Cited By :12 Export Date: 28 January 2020 Correspondence Address: Pásztor, L.; Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary; email: pasztor@rissac.hu Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary Hungarian Academy of Sciences, Budapest, Hungary Cited By :12 Export Date: 27 February 2020 Correspondence Address: Pásztor, L.; Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary; email: pasztor@rissac.hu Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary Hungarian Academy of Sciences, Budapest, Hungary Cited By :13 Export Date: 7 July 2020 Correspondence Address: Pásztor, L.; Institute for Soil Science and Agricultural Chemistry, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary; email: pasztor@rissac.hu Funding text 1: The authors gratefully acknowledge the financial support of the ONTTECH Project (TECH-08-A3/2-2008-0379). Funding Agency and Grant Number: ONTTECH Project [TECH-08-A3/2-2008-0379] Funding text: The authors gratefully acknowledge the financial support of the ONTTECH Project (TECH-08-A3/2-2008-0379). AB - The 4M crop model was used to investigate the prospective effects of climate change on the agro-ecological characteristics of Hungary. The model was coupled with a detailed meteorological database and spatial soil information systems covering the whole territory of Hungary. Plant-specific model parameters were determined by inverse modeling. Future meteorological data were produced from the present meteorological data by combining a climate change scenario and a stochastic weather generator. Using the available and the generated data, the present and the prospective agro-ecological characteristics of Hungary were determined. According to the simulation results, average yields will decrease considerably (~30%) due to climate change. The rate of nitrate leaching will prospectively decrease as well. The fluctuations of both the yields and the annual nitrate leaching rates will most likely increase approaching the end of the twenty-first century. On the basis of the simulation results, the role of autumn crops is likely to become more significant in Hungary. The achieved results can be generalized for more extended regions based on the concept of spatial (geographical) analogy. LA - English DB - MTMT ER -