TY - JOUR AU - Terribile, Fabio AU - Acutis, Marco AU - Agrillo, Antonella AU - Anzalone, Erlisiana AU - Azam‐Ali, Sayed AU - Bancheri, Marialaura AU - Baumann, Peter AU - Birli, Barbara AU - Bonfante, Antonello AU - Botta, Marco AU - Cavaliere, Federica AU - Colandrea, Marco AU - D'Antonio, Amedeo AU - De Mascellis, Roberto AU - De Michele, Carlo AU - De Paoli, Gloria AU - Monica, Camilla Della AU - Di Leginio, Marco AU - Ferlan, Mitja AU - Ferraro, Giuliano AU - Florea, Anca AU - Hermann, Tamás AU - Hoenig, Heike AU - Jahanshiri, Ebrahim AU - Jevšenak, Jernej AU - Kárpáti, Veronika AU - Langella, Giuliano AU - Le, Quang Bao AU - Lezzi, Daniele AU - Loishandl, Harald AU - Loudin, Sarah AU - Manna, Piero AU - Marano, Gina AU - Marotta, Luigi AU - Merticariu, Vlad AU - Mileti, Florindo Antonio AU - Minieri, Luciana AU - Misev, Dimitar AU - Montanarella, Luca AU - Munafò, Michele AU - Neuwirth, Martin AU - Orefice, Nadia AU - Pácsonyi, Imre AU - Panagos, Panos AU - Perego, Alessia AU - Huu, Bang Pham AU - Pinto, Francesco AU - Prebeck, Kathrin AU - Puig, Angela AU - Pump, Judit AU - Schillaci, Calogero AU - Simončič, Primož AU - Skudnik, Mitja AU - Stankovics, Petra AU - Tóth, Gergely AU - Tramberend, Peter AU - Vingiani, Simona AU - Vuolo, Francesco AU - Zucca, Claudio AU - Basile, Angelo TI - The LANDSUPPORT geospatial decision support system ( S‐DSS ) vision: Operational tools to implement sustainability policies in land planning and management JF - LAND DEGRADATION & DEVELOPMENT J2 - LAND DEGRAD DEV VL - 1 PY - 2023 SP - 1 EP - 22 PG - 22 SN - 1085-3278 DO - 10.1002/ldr.4954 UR - https://m2.mtmt.hu/api/publication/34417635 ID - 34417635 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Szigeti, Nóra AU - Hermann, Tamás AU - Juhos, Katalin AU - Tóth, Gergely TI - Distribution pattern of major crops and their cultivation intensity indicated by soil phosphorus concentrations in Europe JF - AGRONOMY JOURNAL J2 - AGRON J VL - 115 PY - 2023 IS - 4 SP - 1678 EP - 1693 PG - 16 SN - 0002-1962 DO - 10.1002/agj2.21337 UR - https://m2.mtmt.hu/api/publication/33715311 ID - 33715311 LA - English DB - MTMT ER - TY - JOUR AU - Csikós, Nándor AU - Tóth, Brigitta AU - Hermann, Tamás AU - Laborczi, Annamária AU - Sieglerné Matus, Judit AU - Pásztor, László AU - Szatmári, Gábor AU - Takács, Katalin AU - Tóth, Gergely TI - Cropland Productivity Evaluation: A 100 m Resolution Country Assessment Combining Earth Observation and Direct Measurements JF - REMOTE SENSING J2 - REMOTE SENS-BASEL VL - 15 PY - 2023 IS - 5 SP - 1236 PG - 17 SN - 2072-4292 DO - 10.3390/rs15051236 UR - https://m2.mtmt.hu/api/publication/33660630 ID - 33660630 N1 - Centre for Agricultural Research, Institute for Soil Sciences, Hermann Otto 15., Budapest, H-1022, Hungary Institute of Advanced Studies, Chernel u. 14., Kőszeg, H-9730, Hungary Export Date: 12 June 2023 Correspondence Address: Csikós, N.; Centre for Agricultural Research, Hermann Otto 15., Hungary; email: csikos.nandor@atk.hu AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Teixeira, Fernando AU - Lemann, Tatenda AU - Ferreira, Carla AU - Glavan, Matjaž AU - Tóth, Zoltán AU - Hermann, Tamás AU - Lipiec, Jerzy AU - Frąc, Magdalena AU - Reintam, Endla AU - Xu, Minggang AU - Fan, Hongzhu AU - Ritsema, Coen TI - Evidence of non‐site‐specific agricultural management effects on the score of visual soil quality indicators JF - SOIL USE AND MANAGEMENT J2 - SOIL USE MANAGE VL - 39 PY - 2023 IS - 1 SP - 474 EP - 484 PG - 11 SN - 0266-0032 DO - 10.1111/sum.12827 UR - https://m2.mtmt.hu/api/publication/32841657 ID - 32841657 N1 - MED – Mediterranean Institute for Agriculture, Environment and Development, Institute for Advanced Studies and Research, Universidade de Évora, Évora, Portugal Centre for Development and Environment (CDE), University of Bern, Bern, Switzerland Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden Navarino Environmental Observatory, Greece Research Centre for Natural Resources, Environment and Society (CERNAS), College of Agriculture, Polytechnic Institute of Coimbra, Coimbra, Portugal Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia Institute of Agronomy, Georgikon Campus, Keszthely, Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary Institute of Advanced Studies, Kőszeg, Hungary Institute of Agrophysics, Polish Academy of Sciences, Lublin, Poland Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences (IARRP, CAAS), Beijing, China Soil and Fertilizer Institute of the Sichuan Academy of Agricultural Sciences (SFI), Chengdu, China Department of Environmental Sciences, Soil Physics and Land Management, Wageningen University, Wageningen, Netherlands Cited By :1 Export Date: 28 March 2023 CODEN: SUMAE Correspondence Address: Teixeira, F.; MED – Mediterranean Institute for Agriculture, Pólo da Mitra, Ap. 94, Portugal; email: fteixeir@uevora.pt LA - English DB - MTMT ER - TY - GEN AU - Balázs, Pál AU - Hermann, Tamás AU - Stankovics, Petra AU - Zugfil-Maletics, Virág AU - Bidló, András AU - Tóth, Gergely TI - Landscape changes in the Szigetköz area (Hungary) and their effects on carbon cycle CY - 21-25 November 2022 PY - 2022 UR - https://m2.mtmt.hu/api/publication/33365879 ID - 33365879 LA - English DB - MTMT ER - TY - JOUR AU - Bilas, George AU - Karapetsas, Nikolaos AU - Gobin, Anne AU - Mesdanitis, Konstantinos AU - Tóth, Gergely AU - Hermann, Tamás AU - Wang, Yaosheng AU - Luo, Liangguo AU - Koutsos, Thomas M. AU - Moshou, Dimitrios AU - Alexandridis, Thomas K. TI - Land Suitability Analysis as a Tool for Evaluating Soil-Improving Cropping Systems JF - LAND (BASEL) J2 - LAND-BASEL VL - 11 PY - 2022 IS - 12 SP - 2200 SN - 2073-445X DO - 10.3390/land11122200 UR - https://m2.mtmt.hu/api/publication/33295574 ID - 33295574 AB - 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. LA - English DB - MTMT ER - TY - GEN AU - Schillaci, C. AU - Panagos, P. AU - Maréchal, A. AU - Montanarella, L. AU - Birli, B. AU - Munafò, M. AU - Di Leginio, M. AU - Pump, Judit AU - Stankovics, Petra AU - Zugfil-Maletics, V. AU - Hermann, Tamás AU - Tóth, Gergely TI - LANDSUPPORT Decision Support Systems: performance at EU, country, regional and local scale PY - 2022 PG - 56 SN - 9789276556015 DO - 10.2760/186211 UR - https://m2.mtmt.hu/api/publication/33206007 ID - 33206007 AB - 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 LA - English DB - MTMT ER - TY - CONF AU - Eke, István AU - Hermann, Tamás AU - Makó, András AU - Tóth, Tamás AU - Tóth, Zoltán TI - Többrétegű geofizikai mérések és szemcseeloszlás vizsgálatok adatainak összefüggés elemzése egy Dél-Dunántúli mintaterületen T2 - Talajtani Vándorgyűlés : absztraktfüzet PY - 2022 SP - 19 EP - 20 PG - 1 UR - https://m2.mtmt.hu/api/publication/33083119 ID - 33083119 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Bancheri, Marialaura AU - Fusco, Francesco AU - Torre, Daniele Dalla AU - Terribile, Fabio AU - Manna, Piero AU - Langella, Giuliano AU - De Vita, Pantaleone AU - Allocca, Vincenzo AU - Loishandl-Weisz, Harald AU - Hermann, Tamás AU - De Michele, Carlo AU - Coppola, Antonio AU - Mileti, Florindo Antonio AU - Basile, Angelo TI - The pesticide fate tool for groundwater vulnerability assessment within the geospatial decision support system LandSupport JF - SCIENCE OF THE TOTAL ENVIRONMENT J2 - SCI TOTAL ENVIRON VL - 807 PY - 2022 IS - 1 PG - 14 SN - 0048-9697 DO - 10.1016/j.scitotenv.2021.150793 UR - https://m2.mtmt.hu/api/publication/32368502 ID - 32368502 LA - English DB - MTMT ER - TY - CHAP AU - Barão, Lúcia AU - Alaoui, Abdallah AU - Ferreira, Carla AU - Basch, Gottlieb AU - Schwilch, Gudrun AU - Geissen, Violette AU - Sukkel, Wijnand AU - Lemesle, Julie AU - Garcia-Orenes, Fuensanta AU - Morugán-Coronado, Alicia AU - Mataix-Solera, Jorge AU - Kosmas, Costas AU - Glavan, Matjaž AU - Pintar, Marina AU - Tóth, Brigitta AU - Hermann, Tamás AU - Vizitiu, Olga P. AU - Lipiec, Jerzy AU - Reintam, Endla AU - Xu, Minggang AU - Di, Jiaying AU - Fan, Hongzhu AU - Wang, Fei ED - Eulenstein, Frank ED - Dronin, Nikolai M. ED - Sychev, Viktor G. ED - Mueller, Lothar TI - Promising Agricultural Management Practices and Soil Threats in Europe and China T2 - Exploring and Optimizing Agricultural Landscapes PB - Springer Netherlands SN - 9783030674472 PY - 2021 SP - 195 EP - 213 PG - 19 DO - 10.1007/978-3-030-67448-9_7 UR - https://m2.mtmt.hu/api/publication/32077269 ID - 32077269 LA - English DB - MTMT ER -