@CONFERENCE{MTMT:34798201,
	title = {Citizen Science Programs as Scientific Data Collection Approach of Soil Medium},
	url = {https://m2.mtmt.hu/api/publication/34798201},
	author = {Takáts, Tünde and László, Péter and Takács, Katalin and Mészáros, János and Kovács, Zsófia Adrienn and Koós, Sándor and Balog, Kitti and Pásztor, László and Árvai, Mátyás},
	booktitle = {EGU General Assembly 2024 abstract kötet},
	doi = {10.5194/egusphere-egu24-16755},
	unique-id = {34798201},
	year = {2024},
	orcid-numbers = {Takács, Katalin/0000-0002-3021-3707; Mészáros, János/0000-0003-2604-3052; Balog, Kitti/0000-0001-9183-5529; Pásztor, László/0000-0002-1605-4412}
}

@article{MTMT:34542267,
	title = {The palaeoclimatic potential of recent oak tree-ring width chronologies from southwest Ukraine},
	url = {https://m2.mtmt.hu/api/publication/34542267},
	author = {Sochová, I. and Kolář, T. and Árvai, Mátyás and Bošeľa, M. and Čufar, K. and Kern, Zoltán and Kyncl, J. and Marčiš, P. and Mészáros, Ilona and Morgós, A. and Mursa, A. and Popa, A. and Roibu, C-C. and Sopushynskyy, I. and Rybníček, M.},
	doi = {10.1016/j.dendro.2024.126168},
	journal-iso = {DENDROCHRONOLOGIA},
	journal = {DENDROCHRONOLOGIA},
	volume = {84},
	unique-id = {34542267},
	issn = {1125-7865},
	year = {2024},
	eissn = {1612-0051},
	orcid-numbers = {Kern, Zoltán/0000-0003-4900-2587}
}

@article{MTMT:34472636,
	title = {Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe},
	url = {https://m2.mtmt.hu/api/publication/34472636},
	author = {Jevšenak, J and Klisz, M and Mašek, J and Čada, V and Janda, P and Svoboda, M and Vostarek, O and Treml, V and van der Maaten, E and Popa, A and Popa, I and van der Maaten-Theunissen, M and Zlatanov, T and Scharnweber, T and Ahlgrimm, S and Stolz, J and Sochová, I and Roibu, CC and Pretzsch, H and Schmied, G and Uhl, E and Kaczka, R and Wrzesiński, P and Šenfeldr, M and Jakubowski, M and Tumajer, J and Wilmking, M and Obojes, N and Rybníček, M and Lévesque, M and Potapov, A and Basu, S and Stojanović, M and Stjepanović, S and Vitas, A and Arnič, D and Metslaid, S and Neycken, A and Prislan, P and Hartl, C and Ziche, D and Horáček, P and Krejza, J and Mikhailov, S and Světlík, J and Kalisty, A and Kolář, T and Lavnyy, V and Hordo, M and Oberhuber, W and Levanič, T and Mészáros, Ilona and Schneider, L and Lehejček, J and Shetti, R and Bošeľa, M and Copini, P and Koprowski, M and Sass-Klaassen, U and Izmir, ŞC and Bakys, R and Entner, H and Esper, J and Janecka, K and del Castillo, EM and Verbylaite, R and Árvai, Mátyás and de Sauvage, JC and Čufar, K and Finner, M and Hilmers, T and Kern, Zoltán and Novak, K and Ponjarac, R and Puchałka, R and Schuldt, B and Dolar, NŠ and Tanovski, V and Zang, C and Žmegač, A and Kuithan, C and Metslaid, M and Thurm, E and Hafner, P and Krajnc, L and Bernabei, M and Bojić, S and Brus, R and Burger, A and D'Andrea, E and Đorem, T and Gławęda, M and Gričar, J and Gutalj, M and Horváth, E and Kostić, S and Matović, B and Merela, M and Miletić, B and Morgós, A and Paluch, R and Pilch, K and Rezaie, N and Rieder, J and Schwab, N and Sewerniak, P and Stojanović, D and Ullmann, T and Waszak, N and Zin, E and Skudnik, M and Oštir, K and Rammig, A and Buras, A},
	doi = {10.1016/j.scitotenv.2023.169692},
	journal-iso = {SCI TOTAL ENVIRON},
	journal = {SCIENCE OF THE TOTAL ENVIRONMENT},
	volume = {913},
	unique-id = {34472636},
	issn = {0048-9697},
	year = {2024},
	eissn = {1879-1026},
	orcid-numbers = {Kern, Zoltán/0000-0003-4900-2587}
}

@misc{MTMT:34521674,
	title = {Capabilities of the national scale TDR soil spectrum library for predicting primary soil properties and supporting their digital mapping. poster},
	url = {https://m2.mtmt.hu/api/publication/34521674},
	author = {Kovács, Zsófia Adrienn and Mészáros, János and Szűcs-Vásárhelyi, Nóra and László, Péter and Szatmári, Gábor and Árvai, Mátyás and Pásztor, László},
	unique-id = {34521674},
	year = {2023},
	orcid-numbers = {Mészáros, János/0000-0003-2604-3052; Szatmári, Gábor/0000-0003-3201-598X; Pásztor, László/0000-0002-1605-4412}
}

@misc{MTMT:34521635,
	title = {Options for reducing agricultural ammonia emissions on different soil types. poster},
	url = {https://m2.mtmt.hu/api/publication/34521635},
	author = {Balog, Kitti and Koós, Sándor and Pirkó, Béla and Szűcs-Vásárhelyi, Nóra and Magyar, Marianna and Mészáros, János and Árvai, Mátyás and Szabó, Anita and Kovács, Zsófia Adrienn and Takáts, Tünde and László, Péter},
	unique-id = {34521635},
	year = {2023},
	orcid-numbers = {Balog, Kitti/0000-0001-9183-5529; Mészáros, János/0000-0003-2604-3052; Szabó, Anita/0000-0002-7907-7101}
}

@article{MTMT:34412834,
	title = {Suitability of Satellite Imagery for Surveillance of Maize Ear Damage by Cotton Bollworm (Helicoverpa armigera) Larvae},
	url = {https://m2.mtmt.hu/api/publication/34412834},
	author = {Sári-Barnácz, Fruzsina Enikő and Zalai, Mihály and Toepfer, Stefan and Milics, Gábor and Iványi, Dóra and Tóthné Kun, Mariann and Mészáros, János and Árvai, Mátyás and Kiss, József},
	doi = {10.3390/rs15235602},
	journal-iso = {REMOTE SENS-BASEL},
	journal = {REMOTE SENSING},
	volume = {15},
	unique-id = {34412834},
	abstract = {The cotton bollworm (Helicoverpa armigera, Lepidoptera: Noctuidae) poses significant risks to maize. Changes in the maize plant, such as its phenology, influence the short-distance movement and oviposition of cotton bollworm adults and, thus, the distribution of the subsequent larval damage. We aim to provide an overview of future approaches to the surveillance of maize ear damage by cotton bollworm larvae based on remote sensing. We focus on finding a near-optimal combination of Landsat 8 or Sentinel-2 spectral bands, vegetation indices, and maize phenology to achieve the best predictions. The study areas were 21 sweet and grain maze fields in Hungary in 2017, 2020, and 2021. Correlations among the percentage of damage and the time series of satellite images were explored. Based on our results, Sentinel-2 satellite imagery is suggested for damage surveillance, as 82% of all the extremes of the correlation coefficients were stronger, and this satellite provided 20–64% more cloud-free images. We identified that the maturity groups of maize are an essential factor in cotton bollworm surveillance. No correlations were found before canopy closure (BBCH 18). Visible bands were the most suitable for damage surveillance in mid–late grain maize (|rmedian| = 0.49–0.51), while the SWIR bands, NDWI, NDVI, and PSRI were suitable in mid–late grain maize fields (|rmedian| = 0.25–0.49) and sweet maize fields (|rmedian| = 0.24–0.41). Our findings aim to support prediction tools for cotton bollworm damage, providing information for the pest management decisions of advisors and farmers.},
	year = {2023},
	eissn = {2072-4292},
	orcid-numbers = {Mészáros, János/0000-0003-2604-3052}
}

@article{MTMT:34083910,
	title = {Indirect Prediction of Salt Affected Soil Indicator Properties through Habitat Types of a Natural Saline Grassland Using Unmanned Aerial Vehicle Imagery},
	url = {https://m2.mtmt.hu/api/publication/34083910},
	author = {Pásztor, László and Takács, Katalin and Mészáros, János and Szatmári, Gábor and Árvai, Mátyás and Tóth, Tibor and Barna, Gyöngyi and Koós, Sándor and Kovács, Zsófia Adrienn and László, Péter and Balog, Kitti},
	doi = {10.3390/land12081516},
	journal-iso = {LAND-BASEL},
	journal = {LAND (BASEL)},
	volume = {12},
	unique-id = {34083910},
	abstract = {Salt meadows, protected within National Parks, cannot be directly surveyed, yet understanding their soil condition is crucial. Our study indirectly estimates soil parameters (Total Salt Content (TSC), Na, and pH) related to salinization/sodification/alkalinization using spectral indices and UAV survey-derived elevation model, focusing on continental lowland salt meadows. A vegetation map was created using 16 spectral indices and a Digital Elevation Model calculated from RGB orthophotos using photogrammetry. Field observations helped define habitat types based on the General National Habitat Classification System (Hungary), and quadrats with complete coverage of specific plant species were identified. Machine learning was employed on 84 training quadrats to develop a prediction algorithm for vegetation patterns. Five saline habitat types, representing variations in soil properties and topography, were identified. Spectral and topomorphometric indices derived from UAV were key to the spatial prediction of soil properties, employing random forest and co-kriging methods. TSC, Na, and pH data served as indicators of salt-affected soils (SAS), and thematic maps were generated for each indicator (57 samples). Overlapping with the vegetation map, the probability range of estimated SAS indicator values was determined. Consequently, a model-based estimation of soil pH, TSC, and Na conditions is provided for habitat types without disturbing protected areas.},
	year = {2023},
	eissn = {2073-445X},
	orcid-numbers = {Pásztor, László/0000-0002-1605-4412; Takács, Katalin/0000-0002-3021-3707; Mészáros, János/0000-0003-2604-3052; Szatmári, Gábor/0000-0003-3201-598X; Barna, Gyöngyi/0000-0003-0967-5015; Balog, Kitti/0000-0001-9183-5529}
}

@article{MTMT:34083077,
	title = {Supposed Effects of Wetland Restoration on Hydrological Conditions and the Provisioning Ecosystem Services—A Model-Based Case Study at a Hungarian Lowland Catchment},
	url = {https://m2.mtmt.hu/api/publication/34083077},
	author = {Kozma, Zsolt and Decsi, Bence and Ács, Tamás and Kardos, Máté Krisztián and Hidy, D and Árvai, Mátyás and Kalicz, Péter and Kern, Zoltán and Pinke, Zsolt László},
	doi = {10.3390/su151511700},
	journal-iso = {SUSTAINABILITY-BASEL},
	journal = {SUSTAINABILITY},
	volume = {15},
	unique-id = {34083077},
	abstract = {Climate change and water scarcity increase the vulnerability of crop production and other ecosystem services (ES) in flood-protected lowlands under a continental climate. Restoration of wetlands leads to a higher water-buffering capacity of the landscape, strengthening various ecosystem services, and fostering adaptation to climatic, ecological, and agricultural challenges. Such restoration efforts require extensive land-use change, leading to trade-offs in provisioning and regulating ES. However, knowledge is limited about these situations, especially in the case of lowland areas. Here, we introduce a hydrological analysis in a 243 km2 flood-protected catchment in the Great Hungarian Plain, mapping the potential hydrological effects of water-retention scenarios on groundwater levels. We point out how the simulated groundwater levels will be used for estimating the changes in crop yields and tree growth (provisioning services). The introduced hydrological analysis and preliminary results for crop-yield estimates suggest a significant and scalable capacity for a nature-based hydrological adaptation: the extent of inundated areas could be increased stepwise and water retention could locally compensate dry periods due to the buffering effect of inundated meanders.},
	keywords = {crop yield; wetland; Groundwater recharge; hydrological modelling; Provisioning ecosystem service; CLIMATE-CHANGE MITIGATION},
	year = {2023},
	eissn = {2071-1050},
	orcid-numbers = {Decsi, Bence/0000-0002-4601-8236; Ács, Tamás/0000-0001-6788-5075; Kardos, Máté Krisztián/0000-0002-2034-9694; Kalicz, Péter/0000-0003-0010-9519; Kern, Zoltán/0000-0003-4900-2587; Pinke, Zsolt László/0000-0001-5644-7256}
}

@{MTMT:34035370,
	title = {Drought Impact on Radial Growth of Oak Stands of the Great Hungarian Plain Between 1930 and 2020},
	url = {https://m2.mtmt.hu/api/publication/34035370},
	author = {Hatvani, István Gábor and Árvai, Mátyás and Kern, Zoltán and Erdélyi, Dániel and Grynaeus, A and Ács, Tamás and Kalicz, Péter and Kozma, Zsolt and Pinke, Zsolt László},
	booktitle = {International Conference on Hydro-Climate Extremes and Society},
	unique-id = {34035370},
	year = {2023},
	pages = {22},
	orcid-numbers = {Hatvani, István Gábor/0000-0002-9262-7315; Kern, Zoltán/0000-0003-4900-2587; Ács, Tamás/0000-0001-6788-5075; Kalicz, Péter/0000-0003-0010-9519; Pinke, Zsolt László/0000-0001-5644-7256}
}

@{MTMT:33918164,
	title = {Az aszály hatása az Alföld tölgyállományainak sugárirányú növekedésére},
	url = {https://m2.mtmt.hu/api/publication/33918164},
	author = {Árvai, Mátyás and Kern, Zoltán and Hatvani, István Gábor and Grynaeus, András and Ács, Tamás and Kalicz, Péter and Kozma, Zsolt and Pinke, Zsolt László},
	booktitle = {XVIII. Kárpát-medencei Környezettudományi konferencia = XVIII. Carpathian Basin Environmental Science Conference},
	unique-id = {33918164},
	year = {2023},
	pages = {68-69},
	orcid-numbers = {Kern, Zoltán/0000-0003-4900-2587; Hatvani, István Gábor/0000-0002-9262-7315; Ács, Tamás/0000-0001-6788-5075; Kalicz, Péter/0000-0003-0010-9519; Pinke, Zsolt László/0000-0001-5644-7256}
}