@article{MTMT:34417635,
	title = {The LANDSUPPORT geospatial decision support system ( S‐DSS ) vision: Operational tools to implement sustainability policies in land planning and management},
	url = {https://m2.mtmt.hu/api/publication/34417635},
	author = {Terribile, Fabio and Acutis, Marco and Agrillo, Antonella and Anzalone, Erlisiana and Azam‐Ali, Sayed and Bancheri, Marialaura and Baumann, Peter and Birli, Barbara and Bonfante, Antonello and Botta, Marco and Cavaliere, Federica and Colandrea, Marco and D'Antonio, Amedeo and De Mascellis, Roberto and De Michele, Carlo and De Paoli, Gloria and Monica, Camilla Della and Di Leginio, Marco and Ferlan, Mitja and Ferraro, Giuliano and Florea, Anca and Hermann, Tamás and Hoenig, Heike and Jahanshiri, Ebrahim and Jevšenak, Jernej and Kárpáti, Veronika and Langella, Giuliano and Le, Quang Bao and Lezzi, Daniele and Loishandl, Harald and Loudin, Sarah and Manna, Piero and Marano, Gina and Marotta, Luigi and Merticariu, Vlad and Mileti, Florindo Antonio and Minieri, Luciana and Misev, Dimitar and Montanarella, Luca and Munafò, Michele and Neuwirth, Martin and Orefice, Nadia and Pácsonyi, Imre and Panagos, Panos and Perego, Alessia and Huu, Bang Pham and Pinto, Francesco and Prebeck, Kathrin and Puig, Angela and Pump, Judit and Schillaci, Calogero and Simončič, Primož and Skudnik, Mitja and Stankovics, Petra and Tóth, Gergely and Tramberend, Peter and Vingiani, Simona and Vuolo, Francesco and Zucca, Claudio and Basile, Angelo},
	doi = {10.1002/ldr.4954},
	journal-iso = {LAND DEGRAD DEV},
	journal = {LAND DEGRADATION & DEVELOPMENT},
	volume = {1},
	unique-id = {34417635},
	issn = {1085-3278},
	abstract = {Nowadays, there is contrasting evidence between the ongoing continuing and widespread environmental degradation and the many means to implement environmental sustainability actions starting from good policies (e.g. EU New Green Deal, CAP), powerful technologies (e.g. new satellites, drones, IoT sensors), large databases and large stakeholder engagement (e.g. EIP‐AGRI, living labs). Here, we argue that to tackle the above contrasting issues dealing with land degradation, it is very much required to develop and use friendly and freely available web‐based operational tools to support both the implementation of environmental and agriculture policies and enable to take positive environmental sustainability actions by all stakeholders. Our solution is the S‐DSS LANDSUPPORT platform, consisting of a free web‐based smart Geospatial CyberInfrastructure containing 15 macro‐tools (and more than 100 elementary tools), co‐designed with different types of stakeholders and their different needs, dealing with sustainability in agriculture, forestry and spatial planning. LANDSUPPORT condenses many features into one system, the main ones of which were (i) Web‐GIS facilities, connection with (ii) satellite data, (iii) Earth Critical Zone data and (iv) climate datasets including climate change and weather forecast data, (v) data cube technology enabling us to read/write when dealing with very large datasets (e.g. daily climatic data obtained in real time for any region in Europe), (vi) a large set of static and dynamic modelling engines (e.g. crop growth, water balance, rural integrity, etc.) allowing uncertainty analysis and what if modelling and (vii) HPC (both CPU and GPU) to run simulation modelling ‘on‐the‐fly’ in real time. Two case studies (a third case is reported in the Supplementary materials ), with their results and stats, covering different regions and spatial extents and using three distinct operational tools all connected to lower land degradation processes (Crop growth, Machine Learning Forest Simulator and GeOC), are featured in this paper to highlight the platform's functioning. Landsupport is used by a large community of stakeholders and will remain operational, open and free long after the project ends. This position is rooted in the evidence showing that we need to leave these tools as open as possible and engage as much as possible with a large community of users to protect soils and land.},
	year = {2023},
	eissn = {1099-145X},
	pages = {1-22},
	orcid-numbers = {Baumann, Peter/0000-0003-3860-4726; Di Leginio, Marco/0000-0003-4187-9296; Jahanshiri, Ebrahim/0000-0002-9110-1880; Manna, Piero/0000-0003-0574-0465; Mileti, Florindo Antonio/0000-0002-3899-7622; Panagos, Panos/0000-0003-1484-2738; Schillaci, Calogero/0000-0001-7689-5697; Zucca, Claudio/0000-0002-8636-0511}
}

@article{MTMT:33715311,
	title = {Distribution pattern of major crops and their cultivation intensity indicated by soil phosphorus concentrations in Europe},
	url = {https://m2.mtmt.hu/api/publication/33715311},
	author = {Szigeti, Nóra and Hermann, Tamás and Juhos, Katalin and Tóth, Gergely},
	doi = {10.1002/agj2.21337},
	journal-iso = {AGRON J},
	journal = {AGRONOMY JOURNAL},
	volume = {115},
	unique-id = {33715311},
	issn = {0002-1962},
	year = {2023},
	eissn = {1435-0645},
	pages = {1678-1693},
	orcid-numbers = {Szigeti, Nóra/0000-0003-2483-6761}
}

@article{MTMT:33660630,
	title = {Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements},
	url = {https://m2.mtmt.hu/api/publication/33660630},
	author = {Csikós, Nándor and Tóth, Brigitta and Hermann, Tamás and Laborczi, Annamária and Sieglerné Matus, Judit and Pásztor, László and Szatmári, Gábor and Takács, Katalin and Tóth, Gergely},
	doi = {10.3390/rs15051236},
	journal-iso = {REMOTE SENS-BASEL},
	journal = {REMOTE SENSING},
	volume = {15},
	unique-id = {33660630},
	abstract = {A methodology is presented for the quantitative assessment of soil biomass productivity at 100 m spatial resolution on a national scale. The traditional land evaluation approach—where crop yield is the dependent variable—was followed using measured yield and net primary productivity data derived from satellite images, together with digital soil and climate maps. In addition to characterizing of soil biomass productivity based on measured data, the weight of soil properties on productivity was also quantified to provide measured soil health and soil quality indicators as an information base for designing sustainable land management practices. To produce these results, we used only the Random Forest method for our calculations. The study considers high-input agriculture, which is predominant in the country. Biomass productivity indices for the main crops (wheat, maize and sunflowers) and general productivity indices were calculated for the whole agricultural area of Hungary. Results can be implemented in cadastral systems, in applied in agricultural and rural development programs. The assessment can be repeated for monitoring purposes to support general monitoring objectives as well as for reporting in relation to the United Nations Sustainable Development Goals. However, on the basis of the results, we also propose a method for periodically updating the assessment, which can also be used for monitoring biomass productivity in the context of climate change, land degradation and the development of cultivation technology.},
	year = {2023},
	eissn = {2072-4292},
	pages = {1236-1253},
	orcid-numbers = {Csikós, Nándor/0000-0002-7395-7298; Tóth, Brigitta/0000-0003-1485-8908; Laborczi, Annamária/0000-0003-4095-7838; Pásztor, László/0000-0002-1605-4412; Szatmári, Gábor/0000-0003-3201-598X; Takács, Katalin/0000-0002-3021-3707}
}

@article{MTMT:32841657,
	title = {Evidence of non‐site‐specific agricultural management effects on the score of visual soil quality indicators},
	url = {https://m2.mtmt.hu/api/publication/32841657},
	author = {Teixeira, Fernando and Lemann, Tatenda and Ferreira, Carla and Glavan, Matjaž and Tóth, Zoltán and Hermann, Tamás and Lipiec, Jerzy and Frąc, Magdalena and Reintam, Endla and Xu, Minggang and Fan, Hongzhu and Ritsema, Coen},
	doi = {10.1111/sum.12827},
	journal-iso = {SOIL USE MANAGE},
	journal = {SOIL USE AND MANAGEMENT},
	volume = {39},
	unique-id = {32841657},
	issn = {0266-0032},
	year = {2023},
	eissn = {1475-2743},
	pages = {474-484},
	orcid-numbers = {Teixeira, Fernando/0000-0003-1920-3871; Tóth, Zoltán/0000-0003-4369-9774; Xu, Minggang/0000-0002-7308-0633}
}

@misc{MTMT:33365879,
	title = {Landscape changes in the Szigetköz area (Hungary) and their effects on carbon cycle},
	url = {https://m2.mtmt.hu/api/publication/33365879},
	author = {Balázs, Pál and Hermann, Tamás and Stankovics, Petra and Zugfil-Maletics, Virág and Bidló, András and Tóth, Gergely},
	unique-id = {33365879},
	year = {2022},
	orcid-numbers = {Balázs, Pál/0000-0001-8251-5718}
}

@article{MTMT:33295574,
	title = {Land Suitability Analysis as a Tool for Evaluating Soil-Improving Cropping Systems},
	url = {https://m2.mtmt.hu/api/publication/33295574},
	author = {Bilas, George and Karapetsas, Nikolaos and Gobin, Anne and Mesdanitis, Konstantinos and Tóth, Gergely and Hermann, Tamás and Wang, Yaosheng and Luo, Liangguo and Koutsos, Thomas M. and Moshou, Dimitrios and Alexandridis, Thomas K.},
	doi = {10.3390/land11122200},
	journal-iso = {LAND-BASEL},
	journal = {LAND (BASEL)},
	volume = {11},
	unique-id = {33295574},
	abstract = {Agricultural land use planning is based on the capacity of the soil to support different types of crops and is a prerequisite for better use of cultivated land. Land Suitability Analysis (LSA) is used to measure the level of suitability of growing a specific crop in the area and can also be used to evaluate future scenarios as a means for sustainable agriculture. LSA was employed to calculate current land suitability, as well as four scenarios of Soil-Improving Cropping Systems (SICS): (a) Conservation Tillage (CT), (b) Cover Crop (CC), (c) Crop Residue Management (CRM), and (d) Manure Application (MA). The scenarios of SICS were derived by increasing soil organic matter and cation exchange capacity values depending on the SICS hypothetically applied for a period of 100 years in the future. LSA was evaluated for maize in three sites: (a) Flanders (BE), (b) Somogy (HU), and (c) Hengshui (CH). LSA was performed using the Agricultural Land Use Evaluation System (ALUES) considering soil and climatic and topographic parameters. Weighing factors of input parameters were assigned using the Analytical Hierarchy Process (AHP). The results show that in Flanders, the highly suitable (S2) class covered 3.3% of the total area, and the best scenario for improving current LS was CRM, in which S2 expanded to 9.1%. In Somogy, the S2 class covered 18.3% of the total area, and the best scenarios for improving current land suitability were CT and CC, in both of which the S2 class expanded to 70.5% of the total area. In Hengshui, the S2 class covered 64.7% of the total area, and all SICS scenarios performed extremely well, converting almost all moderately suitable (S3) areas to S2. The main limiting factor that was recognized from a limiting factor analysis in all cases was the climatic conditions. This work proves that LSA can evaluate scenarios of management practices and recognize limiting factors. The proposed methodology is a novel approach that can provide land suitability maps to efficiently evaluate SICS scenarios by projecting soil characteristics and LSA in the future, thus facilitating management decisions of regional policy makers.},
	year = {2022},
	eissn = {2073-445X},
	pages = {2200},
	orcid-numbers = {Karapetsas, Nikolaos/0000-0003-0734-9275; Gobin, Anne/0000-0002-3742-7062; Koutsos, Thomas M./0000-0003-4035-7971; Moshou, Dimitrios/0000-0001-7270-5307; Alexandridis, Thomas K./0000-0003-1893-6301}
}

@techreport{MTMT:33206007,
	title = {LANDSUPPORT Decision Support Systems: performance at EU, country, regional and local scale},
	url = {https://m2.mtmt.hu/api/publication/33206007},
	isbn = {9789276556015},
	author = {Schillaci, C. and Panagos, P. and Maréchal, A. and Montanarella, L. and Birli, B. and Munafò, M. and Di Leginio, M. and Pump, Judit and Stankovics, Petra and Zugfil-Maletics, V. and Hermann, Tamás and Tóth, Gergely},
	doi = {10.2760/186211},
	unique-id = {33206007},
	abstract = {This report presents the analysis carried out to testthe LANDSUPPORT DSS’s ability to support EU policies when applied at the EU scale. Key EU policies of interest include the 7th Environmental Action Porgamme; COM 2006/231 Soil Strategy, Dir 2000/60/EC Water Directive; Dir 2007/2/EC INSPIRE Directive. and the land-related targets of the 2030 Sustainable Development Goals (SDGs) in particular, SDGs 2 “Zero Hunger”, 3 “ggod healh and well-being”, 13 “Climate action”, 15, with a special emphasis to the key SDG 15.3.1, “achieving a land degradation-neutral world” (LDN) and climate change (CC) mitigation goals.
		
		To achieve this objective, three main actions were undertaken:
		1. Evaluation of the Landsupport DSS’s ability to support selected EU policies and SDGs.
		2. Semi-structured interviews with senior EU officials and expertsof the European Commission, to test the usability of the selected tool at different scales
		3. Test the LANDSUPPORT platform, through an assessment of the European scale tools output, an analysis and conformity check of the data delivered by the tools and a critical review of results},
	year = {2022}
}

@CONFERENCE{MTMT:33083119,
	title = {Többrétegű geofizikai mérések és szemcseeloszlás vizsgálatok adatainak összefüggés elemzése egy Dél-Dunántúli mintaterületen},
	url = {https://m2.mtmt.hu/api/publication/33083119},
	author = {Eke, István and Hermann, Tamás and Makó, András and Tóth, Tamás and Tóth, Zoltán},
	booktitle = {Talajtani Vándorgyűlés : absztraktfüzet},
	unique-id = {33083119},
	year = {2022},
	pages = {19-20},
	orcid-numbers = {Makó, András/0000-0002-6169-6393}
}

@article{MTMT:32368502,
	title = {The pesticide fate tool for groundwater vulnerability assessment within the geospatial decision support system LandSupport},
	url = {https://m2.mtmt.hu/api/publication/32368502},
	author = {Bancheri, Marialaura and Fusco, Francesco and Torre, Daniele Dalla and Terribile, Fabio and Manna, Piero and Langella, Giuliano and De Vita, Pantaleone and Allocca, Vincenzo and Loishandl-Weisz, Harald and Hermann, Tamás and De Michele, Carlo and Coppola, Antonio and Mileti, Florindo Antonio and Basile, Angelo},
	doi = {10.1016/j.scitotenv.2021.150793},
	journal-iso = {SCI TOTAL ENVIRON},
	journal = {SCIENCE OF THE TOTAL ENVIRONMENT},
	volume = {807},
	unique-id = {32368502},
	issn = {0048-9697},
	year = {2022},
	eissn = {1879-1026}
}

@{MTMT:32077269,
	title = {Promising Agricultural Management Practices and Soil Threats in Europe and China},
	url = {https://m2.mtmt.hu/api/publication/32077269},
	author = {Barão, Lúcia and Alaoui, Abdallah and Ferreira, Carla and Basch, Gottlieb and Schwilch, Gudrun and Geissen, Violette and Sukkel, Wijnand and Lemesle, Julie and Garcia-Orenes, Fuensanta and Morugán-Coronado, Alicia and Mataix-Solera, Jorge and Kosmas, Costas and Glavan, Matjaž and Pintar, Marina and Tóth, Brigitta and Hermann, Tamás and Vizitiu, Olga P. and Lipiec, Jerzy and Reintam, Endla and Xu, Minggang and Di, Jiaying and Fan, Hongzhu and Wang, Fei},
	booktitle = {Exploring and Optimizing Agricultural Landscapes},
	doi = {10.1007/978-3-030-67448-9_7},
	unique-id = {32077269},
	year = {2021},
	pages = {195-213},
	orcid-numbers = {Tóth, Brigitta/0000-0003-1485-8908}
}