TY  - CONF
AU  - Takáts, Tünde
AU  - László, Péter
AU  - Takács, Katalin
AU  - Mészáros, János
AU  - Kovács, Zsófia Adrienn
AU  - Koós, Sándor
AU  - Balog, Kitti
AU  - Pásztor, László
AU  - Árvai, Mátyás
TI  - Citizen Science Programs as Scientific Data Collection Approach of Soil Medium
T2  - EGU General Assembly 2024 abstract kötet
PY  - 2024
DO  - 10.5194/egusphere-egu24-16755
UR  - https://m2.mtmt.hu/api/publication/34798201
ID  - 34798201
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Sochová, I.
AU  - Kolář, T.
AU  - Árvai, Mátyás
AU  - Bošeľa, M.
AU  - Čufar, K.
AU  - Kern, Zoltán
AU  - Kyncl, J.
AU  - Marčiš, P.
AU  - Mészáros, Ilona
AU  - Morgós, A.
AU  - Mursa, A.
AU  - Popa, A.
AU  - Roibu, C-C.
AU  - Sopushynskyy, I.
AU  - Rybníček, M.
TI  - The palaeoclimatic potential of recent oak tree-ring width chronologies from southwest Ukraine
JF  - DENDROCHRONOLOGIA
J2  - DENDROCHRONOLOGIA
VL  - 84
PY  - 2024
PG  - 11
SN  - 1125-7865
DO  - 10.1016/j.dendro.2024.126168
UR  - https://m2.mtmt.hu/api/publication/34542267
ID  - 34542267
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Jevšenak, J
AU  - Klisz, M
AU  - Mašek, J
AU  - Čada, V
AU  - Janda, P
AU  - Svoboda, M
AU  - Vostarek, O
AU  - Treml, V
AU  - van der Maaten, E
AU  - Popa, A
AU  - Popa, I
AU  - van der Maaten-Theunissen, M
AU  - Zlatanov, T
AU  - Scharnweber, T
AU  - Ahlgrimm, S
AU  - Stolz, J
AU  - Sochová, I
AU  - Roibu, CC
AU  - Pretzsch, H
AU  - Schmied, G
AU  - Uhl, E
AU  - Kaczka, R
AU  - Wrzesiński, P
AU  - Šenfeldr, M
AU  - Jakubowski, M
AU  - Tumajer, J
AU  - Wilmking, M
AU  - Obojes, N
AU  - Rybníček, M
AU  - Lévesque, M
AU  - Potapov, A
AU  - Basu, S
AU  - Stojanović, M
AU  - Stjepanović, S
AU  - Vitas, A
AU  - Arnič, D
AU  - Metslaid, S
AU  - Neycken, A
AU  - Prislan, P
AU  - Hartl, C
AU  - Ziche, D
AU  - Horáček, P
AU  - Krejza, J
AU  - Mikhailov, S
AU  - Světlík, J
AU  - Kalisty, A
AU  - Kolář, T
AU  - Lavnyy, V
AU  - Hordo, M
AU  - Oberhuber, W
AU  - Levanič, T
AU  - Mészáros, Ilona
AU  - Schneider, L
AU  - Lehejček, J
AU  - Shetti, R
AU  - Bošeľa, M
AU  - Copini, P
AU  - Koprowski, M
AU  - Sass-Klaassen, U
AU  - Izmir, ŞC
AU  - Bakys, R
AU  - Entner, H
AU  - Esper, J
AU  - Janecka, K
AU  - del Castillo, EM
AU  - Verbylaite, R
AU  - Árvai, Mátyás
AU  - de Sauvage, JC
AU  - Čufar, K
AU  - Finner, M
AU  - Hilmers, T
AU  - Kern, Zoltán
AU  - Novak, K
AU  - Ponjarac, R
AU  - Puchałka, R
AU  - Schuldt, B
AU  - Dolar, NŠ
AU  - Tanovski, V
AU  - Zang, C
AU  - Žmegač, A
AU  - Kuithan, C
AU  - Metslaid, M
AU  - Thurm, E
AU  - Hafner, P
AU  - Krajnc, L
AU  - Bernabei, M
AU  - Bojić, S
AU  - Brus, R
AU  - Burger, A
AU  - D'Andrea, E
AU  - Đorem, T
AU  - Gławęda, M
AU  - Gričar, J
AU  - Gutalj, M
AU  - Horváth, E
AU  - Kostić, S
AU  - Matović, B
AU  - Merela, M
AU  - Miletić, B
AU  - Morgós, A
AU  - Paluch, R
AU  - Pilch, K
AU  - Rezaie, N
AU  - Rieder, J
AU  - Schwab, N
AU  - Sewerniak, P
AU  - Stojanović, D
AU  - Ullmann, T
AU  - Waszak, N
AU  - Zin, E
AU  - Skudnik, M
AU  - Oštir, K
AU  - Rammig, A
AU  - Buras, A
TI  - Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe
JF  - SCIENCE OF THE TOTAL ENVIRONMENT
J2  - SCI TOTAL ENVIRON
VL  - 913
PY  - 2024
SN  - 0048-9697
DO  - 10.1016/j.scitotenv.2023.169692
UR  - https://m2.mtmt.hu/api/publication/34472636
ID  - 34472636
LA  - English
DB  - MTMT
ER  - 

TY  - GEN
AU  - Kovács, Zsófia Adrienn
AU  - Mészáros, János
AU  - Szűcs-Vásárhelyi, Nóra
AU  - László, Péter
AU  - Szatmári, Gábor
AU  - Árvai, Mátyás
AU  - Pásztor, László
TI  - Capabilities of the national scale TDR soil spectrum library for predicting primary soil properties and supporting their digital mapping. poster
TS  - poster
PY  - 2023
UR  - https://m2.mtmt.hu/api/publication/34521674
ID  - 34521674
LA  - English
DB  - MTMT
ER  - 

TY  - GEN
AU  - Balog, Kitti
AU  - Koós, Sándor
AU  - Pirkó, Béla
AU  - Szűcs-Vásárhelyi, Nóra
AU  - Magyar, Marianna
AU  - Mészáros, János
AU  - Árvai, Mátyás
AU  - Szabó, Anita
AU  - Kovács, Zsófia Adrienn
AU  - Takáts, Tünde
AU  - László, Péter
TI  - Options for reducing agricultural ammonia emissions on different soil types. poster
TS  - poster
PY  - 2023
UR  - https://m2.mtmt.hu/api/publication/34521635
ID  - 34521635
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Sári-Barnácz, Fruzsina Enikő
AU  - Zalai, Mihály
AU  - Toepfer, Stefan
AU  - Milics, Gábor
AU  - Iványi, Dóra
AU  - Tóthné Kun, Mariann
AU  - Mészáros, János
AU  - Árvai, Mátyás
AU  - Kiss, József
TI  - Suitability of Satellite Imagery for Surveillance of Maize Ear Damage by Cotton Bollworm (Helicoverpa armigera) Larvae
JF  - REMOTE SENSING
J2  - REMOTE SENS-BASEL
VL  - 15
PY  - 2023
IS  - 23
PG  - 39
SN  - 2072-4292
DO  - 10.3390/rs15235602
UR  - https://m2.mtmt.hu/api/publication/34412834
ID  - 34412834
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Pásztor, László
AU  - Takács, Katalin
AU  - Mészáros, János
AU  - Szatmári, Gábor
AU  - Árvai, Mátyás
AU  - Tóth, Tibor
AU  - Barna, Gyöngyi
AU  - Koós, Sándor
AU  - Kovács, Zsófia Adrienn
AU  - László, Péter
AU  - Balog, Kitti
TI  - Indirect Prediction of Salt Affected Soil Indicator Properties through Habitat Types of a Natural Saline Grassland Using Unmanned Aerial Vehicle Imagery
JF  - LAND (BASEL)
J2  - LAND-BASEL
VL  - 12
PY  - 2023
IS  - 8
PG  - 23
SN  - 2073-445X
DO  - 10.3390/land12081516
UR  - https://m2.mtmt.hu/api/publication/34083910
ID  - 34083910
N1  - Funding Agency and Grant Number: National Research, Development and Innovation Office(NKFIH) [K-124290]
            Funding text: This research was funded by the National Research, Development and Innovation Office(NKFIH), grant number K-124290
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kozma, Zsolt
AU  - Decsi, Bence
AU  - Ács, Tamás
AU  - Kardos, Máté Krisztián
AU  - Hidy, D
AU  - Árvai, Mátyás
AU  - Kalicz, Péter
AU  - Kern, Zoltán
AU  - Pinke, Zsolt László
TI  - Supposed Effects of Wetland Restoration on Hydrological Conditions and the Provisioning Ecosystem Services—A Model-Based Case Study at a Hungarian Lowland Catchment
JF  - SUSTAINABILITY
J2  - SUSTAINABILITY-BASEL
VL  - 15
PY  - 2023
IS  - 15
PG  - 18
SN  - 2071-1050
DO  - 10.3390/su151511700
UR  - https://m2.mtmt.hu/api/publication/34083077
ID  - 34083077
N1  - Department of Sanitary and Environmental Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3, Budapest, H-1111, Hungary            
            MTA-MATE Agroecology Research Group, Department of Plant Physiology and Plant Ecology, Hungarian University for Agriculture and Life Sciences, Gödöllő, H-2100, Hungary            
            Institute for Soil Sciences, Centre for Agricultural Research, Herman Ottó út 15, Budapest, H-1022, Hungary            
            Faculty of Forestry, Institute of Geomatics and Civil Engineering, University of Sopron, Sopron, H-9400, Hungary            
            Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences, Budapest, H-1112, Hungary            
            Research Centre for Astronomy and Earth Sciences, MTA Centre of Excellence, Konkoly Thege Miklós út 15-17, Budapest, H-1121, Hungary            
            Department of Physical Geography, Eötvös Loránd University, Pázmány Péter Sétány 1/C, Budapest, H-1117, Hungary            
            Export Date: 24 August 2023            
            Correspondence Address: Kozma, Z.; Department of Sanitary and Environmental Engineering, Műegyetem rkp. 3, Hungary; email: kozma.zsolt@emk.bme.hu
AB  - 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.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Hatvani, István Gábor
AU  - Árvai, Mátyás
AU  - Kern, Zoltán
AU  - Erdélyi, Dániel
AU  - Grynaeus, A
AU  - Ács, Tamás
AU  - Kalicz, Péter
AU  - Kozma, Zsolt
AU  - Pinke, Zsolt László
ED  - Hrvojević, MPD
TI  - Drought Impact on Radial Growth of Oak Stands of the Great Hungarian Plain Between 1930 and 2020
T2  - International Conference on Hydro-Climate Extremes and Society
PB  - University of Novi Sad, Faculty of Sciences
CY  - Novi Sad
SN  - 9788670316225
PY  - 2023
SP  - 22
UR  - https://m2.mtmt.hu/api/publication/34035370
ID  - 34035370
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Árvai, Mátyás
AU  - Kern, Zoltán
AU  - Hatvani, István Gábor
AU  - Grynaeus, András
AU  - Ács, Tamás
AU  - Kalicz, Péter
AU  - Kozma, Zsolt
AU  - Pinke, Zsolt László
ED  - Blanka, Viktória
TI  - Az aszály hatása az Alföld tölgyállományainak sugárirányú növekedésére
T2  - XVIII. Kárpát-medencei Környezettudományi konferencia = XVIII. Carpathian Basin Environmental Science Conference
PB  - Sapientia Erdélyi Magyar Tudományegyetem
CY  - Szeged
SN  - 9789633069370
T3  - Kárpát-Medencei Környezettudományi Konferencia, ISSN 1842-9815
PY  - 2023
SP  - 68
EP  - 69
PG  - 1
UR  - https://m2.mtmt.hu/api/publication/33918164
ID  - 33918164
LA  - Hungarian
DB  - MTMT
ER  -