Marialaura Bancheri, Angelo Basile, Fabio Terribile, Giuliano Langella, Marco Botta, Daniele Lezzi, Federica Cavaliere, Marco Colandrea, Luigi Marotta, Roberto De Mascellis, Piero Manna, Antonietta Agrillo, Florindo Antonio Mileti, Marco Acutis, Alessia Perego
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To fill this gap, in the H2020 LandSupport project, the web-based <i>best practice tool</i> was developed to identify, on-the-fly, optimized agronomic solutions to help achieve land-degradation neutrality. The tool's core is the ARMOSA process-based model, which dynamically simulates the continuum soil–plant–atmosphere, combining several cropping systems, crops, nitrogen fertilization rates, tillage solutions, and crop residue management for specific regions of interest. It provides a synthetic “Best Practice index” to identify the optimized local solutions, which combines the production, nitrate leaching, and SOC_change, according to the end-user dynamic requests. The tool was implemented for three case studies: Marchfeld Region in Austria, Zala County in Hungary, and Campania Region in Italy, which are representative of a variety of different pedoclimatic conditions. In the present work, we report three possible cases of use in supporting best practices aiming toward soil and water conservation: (i) crop production optimization; (ii) impact of management practices (i.e., cover crops) over soil carbon; (iii) lowering the impact of nitrate leaching.</p>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ldr.5114","citationCount":"0","resultStr":"{\"title\":\"A web-based operational tool for the identification of best practices in European agricultural systems\",\"authors\":\"Marialaura Bancheri, Angelo Basile, Fabio Terribile, Giuliano Langella, Marco Botta, Daniele Lezzi, Federica Cavaliere, Marco Colandrea, Luigi Marotta, Roberto De Mascellis, Piero Manna, Antonietta Agrillo, Florindo Antonio Mileti, Marco Acutis, Alessia Perego\",\"doi\":\"10.1002/ldr.5114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Under the same perspective of the Sustainable Development Goal (SDG) 15.3 aiming to restore degraded land and soil, one of the current priorities of the new Common Agriculture Policy (CAP) is to overcome the serious environmental problems raised by intensive agriculture. 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A web-based operational tool for the identification of best practices in European agricultural systems
Under the same perspective of the Sustainable Development Goal (SDG) 15.3 aiming to restore degraded land and soil, one of the current priorities of the new Common Agriculture Policy (CAP) is to overcome the serious environmental problems raised by intensive agriculture. Despite the steps forward guaranteed by new technologies and innovations (e.g., IoT, precision agriculture), the availability of real operational tools, which could help the member states fulfil the high requirements and expectations of the new CAP and SDGs, is still lacking. To fill this gap, in the H2020 LandSupport project, the web-based best practice tool was developed to identify, on-the-fly, optimized agronomic solutions to help achieve land-degradation neutrality. The tool's core is the ARMOSA process-based model, which dynamically simulates the continuum soil–plant–atmosphere, combining several cropping systems, crops, nitrogen fertilization rates, tillage solutions, and crop residue management for specific regions of interest. It provides a synthetic “Best Practice index” to identify the optimized local solutions, which combines the production, nitrate leaching, and SOC_change, according to the end-user dynamic requests. The tool was implemented for three case studies: Marchfeld Region in Austria, Zala County in Hungary, and Campania Region in Italy, which are representative of a variety of different pedoclimatic conditions. In the present work, we report three possible cases of use in supporting best practices aiming toward soil and water conservation: (i) crop production optimization; (ii) impact of management practices (i.e., cover crops) over soil carbon; (iii) lowering the impact of nitrate leaching.
期刊介绍:
Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on:
- what land degradation is;
- what causes land degradation;
- the impacts of land degradation
- the scale of land degradation;
- the history, current status or future trends of land degradation;
- avoidance, mitigation and control of land degradation;
- remedial actions to rehabilitate or restore degraded land;
- sustainable land management.