@article{MTMT:34815406,
	title = {Short‐term predictions of PM 10 and NO 2 concentrations in urban environments based on ARIMA search grid modeling},
	url = {https://m2.mtmt.hu/api/publication/34815406},
	author = {Bouzghiba, Houria and Abderrahmane, Mendyl and Kenza, Khomsi and Géczi, Gábor},
	doi = {10.1002/clen.202300395},
	journal-iso = {CLEAN-SOIL AIR WATER},
	journal = {CLEAN-SOIL AIR WATER},
	unique-id = {34815406},
	issn = {1863-0650},
	abstract = {Air pollution poses a persistent challenge for urban management departments and policymakers due to its significant health and economic impacts. Various cities worldwide have implemented diverse strategies and initiatives to enhance air quality monitoring and modeling standards. However, the outcomes of these efforts often manifest over the long term, leading to a preference for short‐term statistical methods. The autoregressive integrated moving average (ARIMA) search grid modeling approach has gained widespread use for forecasting air quality. This paper presents a comprehensive time series analysis conducted to predict air quality in urban areas of Budapest, Hungary, with a focus on nitrogen dioxide (NO 2 ) and particulate matter (PM 10 ), using air quality data spanning from 2018 to 2022 for four monitoring categories: Urban traffic, industrial background, urban background, and suburban background. The study employs the ARIMA search grid method to forecast concentrations of these pollutants at multiple air quality monitoring stations based on Akaike information criteria (AIC) and the Bayesian information criteria (BIC) criteria along with the results of augmented Dickey–Fuller (ADF) test. The results demonstrate varying levels of forecast accuracy across different stations, indicating the model's effectiveness in short‐term predicting of air quality. These findings are essential for assessing the reliability of air quality forecasts in Budapest and can inform decisions regarding air quality management and the development of strategies to address air pollution and particulate matter concerns in the region.},
	year = {2024},
	eissn = {1863-0669},
	orcid-numbers = {Géczi, Gábor/0000-0002-0909-7131}
}

@article{MTMT:34798937,
	title = {Are Hungarian Grey Cattle or Hungarian Racka Sheep the Best Choice for the Conservation of Wood-Pasture Habitats in the Pannonian Region?},
	url = {https://m2.mtmt.hu/api/publication/34798937},
	author = {Penksza, Károly and Saláta, Dénes and Fűrész, Attila and Penksza, Péter and Fuchs, Márta and Pajor, Ferenc and Sipos, László and Falusi, Eszter and Wagenhoffer, Zsombor and Szentes, Szilárd},
	doi = {10.3390/agronomy14040846},
	journal-iso = {AGRONOMY-BASEL},
	journal = {AGRONOMY (BASEL)},
	volume = {14},
	unique-id = {34798937},
	abstract = {Wood pastures have been characteristic farming types in the Pannonian biogeographical region over the centuries. In the present work, we studied wood-pastures of typical geographical locations in the North Hungarian Mountain Range of Hungary characterized by similar environmental conditions but grazed by different livestock. The sample area of Cserépfalu was grazed by Hungarian Grey Cattle, while the Erdőbénye was grazed by Hungarian Racka Sheep. Coenological records of the sites were collected from 2012 to 2021 in the main vegetation period according to the Braun-Blanquet method with the application of 2 × 2 m sampling quadrats, where the coverage estimated by percentage for each present species was also recorded. To evaluate the state of vegetation, ’ecological ordering’ distribution, diversity, and grassland management values were used. Between the two areas, the grazing pressure of the two studied livestock produced different results. Based on the diversity values, woody–shrubby–grassland mosaic diversity values were high (Shannon diversity: 2.21–2.87). Cattle grazing resulted in a variable and mosaic-like shrubby area with high cover values. Based on our results, grazing by cattle provides an adequate solution for forming and conserving wood-pasture habitats in the studied areas of Hungary. However, if the purpose is to also form valuable grassland with high grassland management values, partly sheep grazing should be suggested.},
	year = {2024},
	eissn = {2073-4395},
	pages = {846},
	orcid-numbers = {Saláta, Dénes/0000-0002-7149-0022; Fűrész, Attila/0000-0003-2287-529X; Fuchs, Márta/0000-0002-4997-8320; Pajor, Ferenc/0000-0003-1501-0968; Sipos, László/0000-0002-4584-6697; Falusi, Eszter/0000-0002-1183-3513}
}

@{MTMT:34796057,
	title = {Nyílt homoki gyepek regenerációjának monitorozása az Újpesti Homoktövis Természetvédelmi Területen (2006-2021)},
	url = {https://m2.mtmt.hu/api/publication/34796057},
	author = {Fűrész, Attila and Falusi, Eszter and Bajor, Zoltán and Sipos, László and Fuchs, Márta and Penksza, Péter and Szentes, Szilárd and Wagenhoffer, Zsombor and Penksza, Károly},
	booktitle = {XIX. Kárpát-medencei Környezettudományi Konferencia. Absztrakt füzet},
	unique-id = {34796057},
	year = {2024},
	pages = {138},
	orcid-numbers = {Fűrész, Attila/0000-0003-2287-529X; Falusi, Eszter/0000-0002-1183-3513; Sipos, László/0000-0002-4584-6697; Fuchs, Márta/0000-0002-4997-8320}
}

@{MTMT:34796027,
	title = {Házi vízibivalyok által, eltérő intenzitással legeltetett gyepek és legeltetési üzemmódból kivett gyepek florisztikai felmérése},
	url = {https://m2.mtmt.hu/api/publication/34796027},
	author = {Fintha, Gabriella and Fűrész, Attila and Falusi, Eszter and Járdi, Ildikó and Penksza, Károly},
	booktitle = {XIX. Kárpát-medencei Környezettudományi Konferencia. Absztrakt füzet},
	unique-id = {34796027},
	year = {2024},
	pages = {136},
	orcid-numbers = {Fűrész, Attila/0000-0003-2287-529X; Falusi, Eszter/0000-0002-1183-3513; Járdi, Ildikó/0000-0002-1560-7863}
}

@{MTMT:34795993,
	title = {Festuca taxonok ploid vizsgálata Magyarországon},
	url = {https://m2.mtmt.hu/api/publication/34795993},
	author = {Balogh, Dániel and Fűrész, Attila and Penksza, Károly and Lantos, Csaba and Szőke, Antal},
	booktitle = {XIX. Kárpát-medencei Környezettudományi Konferencia. Absztrakt füzet},
	unique-id = {34795993},
	year = {2024},
	pages = {131},
	orcid-numbers = {Fűrész, Attila/0000-0003-2287-529X}
}

@article{MTMT:34730230,
	title = {Agronomic management response in maize ( Zea mays L.) production across three agroecological zones of Kenya},
	url = {https://m2.mtmt.hu/api/publication/34730230},
	author = {Kipkulei, Harison Kiplagat and Bellingrath‐Kimura, Sonoko Dorothea and Lana, Marcos and Ghazaryan, Gohar and Baatz, Roland and Matavel, Custodio and Boitt, Mark and Chisanga, Charles B. and Brian Rotich, Kanyongi and Moreira, Rodrigo Martins and Sieber, Stefan},
	doi = {10.1002/agg2.20478},
	journal-iso = {AGROSYSTEMS G EOSCI ENVIRON},
	journal = {AGROSYSTEMS GEOSCIENCES & ENVIRONMENT},
	volume = {7},
	unique-id = {34730230},
	abstract = {Maize ( Zea mays L.) productivity in Kenya has witnessed a decline attributed to the effects of climate change and biophysical constraints. The assessment of agronomic practices across agroecological zones (AEZs) is limited by inadequate data quality, hindering a precise evaluation of maize yield on a large scale. In this study, we employed the DSSAT‐CERES‐Maize crop model (where CERES is Crop Environment Resource Synthesis and DSSAT is Decision Support System for Agrotechnology Transfer) to investigate the impacts of different agronomic practices on maize yield across different AEZs in two counties of Kenya. The model was calibrated and evaluated with observed grain yield, biomass, leaf area index, phenology, and soil water content from 2‐year experiments. Remote sensing (RS) images derived from the Sentinel‐2 satellite were integrated to delineate maize areas, and the resulting information was merged with DSSAT‐CERES‐Maize yield simulations. This facilitated a comprehensive quantification of various agronomic measures at pixel scales. Evaluation of agronomic measures revealed that sowing dates and cultivar types significantly influenced maize yield across the AEZs. Notably, AEZ II and AEZ III exhibited elevated yields when implementing combined practices of early sowing and cultivar H614. The impacts of optimal management practices varied across the AEZs, resulting in yield increases of 81, 115, and 202 kg ha −1 in AEZ I, AEZ II, and AEZ III, respectively. This study underscores the potential of the CERES‐Maize model and high‐resolution RS data in estimating production at larger scales. Furthermore, this integrated approach holds promise for supporting agricultural decision‐making and designing optimal strategies to enhance productivity while accounting for site‐specific conditions.},
	year = {2024},
	eissn = {2639-6696},
	orcid-numbers = {Kipkulei, Harison Kiplagat/0000-0003-0643-2077; Bellingrath‐Kimura, Sonoko Dorothea/0000-0001-7392-7796; Lana, Marcos/0000-0002-1733-1100; Ghazaryan, Gohar/0000-0003-4606-0140; Baatz, Roland/0000-0001-5481-0904; Matavel, Custodio/0000-0002-3800-7887; Boitt, Mark/0000-0003-3417-6875; Chisanga, Charles B./0000-0002-7388-5415; Moreira, Rodrigo Martins/0000-0001-6794-6026; Sieber, Stefan/0000-0002-4849-7277}
}

@CONFERENCE{MTMT:34716691,
	title = {Segítheti-e a műholdas távérzékelés a homoki prérifű (Sporobolus cryptandrus (Torr.) A.Gray) inváziójának monitoringját?},
	url = {https://m2.mtmt.hu/api/publication/34716691},
	author = {Tanács, Eszter and Rigó, Attila and Ónodi, Gábor and Mojzes, Andrea and Quinter, Rabuogi and Kröel-Dulay, György},
	booktitle = {XIV. Aktuális Flóra- és Vegetációkutatás a Kárpát-medencében nemzetközi konferencia: Összefoglalók.},
	unique-id = {34716691},
	year = {2024},
	pages = {84-84}
}

@CONFERENCE{MTMT:34716687,
	title = {A homoki prérifű (Sporobolus cryptandrus (Torr.) A.Gray) kiskunsági inváziója},
	url = {https://m2.mtmt.hu/api/publication/34716687},
	author = {Rigó, Attila and Mojzes, Andrea and Ónodi, Gábor and Tanács, Eszter and Kröel-Dulay, György},
	booktitle = {XIV. Aktuális Flóra- és Vegetációkutatás a Kárpát-medencében nemzetközi konferencia: Összefoglalók.},
	unique-id = {34716687},
	year = {2024},
	pages = {70-70}
}

@CONFERENCE{MTMT:34716683,
	title = {Budapest spontán edényes flórája},
	url = {https://m2.mtmt.hu/api/publication/34716683},
	author = {Rigó, Attila and Malatinszky, Ákos and Barina, Zoltán},
	booktitle = {XIV. Aktuális Flóra- és Vegetációkutatás a Kárpát-medencében nemzetközi konferencia: Összefoglalók.},
	unique-id = {34716683},
	year = {2024},
	pages = {69-69}
}

@CONFERENCE{MTMT:34716680,
	title = {A kiskunsági tölgyesek természetvédelmi helyzete},
	url = {https://m2.mtmt.hu/api/publication/34716680},
	author = {Rédei, Tamás and Árvai, Ágnes and Kabai, Melinda and Kun, András and Rigó, Attila and Szabadi, Kriszta Lilla and Csecserits, Anikó},
	booktitle = {XIV. Aktuális Flóra- és Vegetációkutatás a Kárpát-medencében nemzetközi konferencia: Összefoglalók.},
	unique-id = {34716680},
	year = {2024},
	pages = {68-68}
}