Conference Agenda
| Session | ||
1.06.3: PROMEDRICE
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| Presentations | ||
2:30pm - 2:45pm
The Promedrice Project: Objectives and Expected Outcomes 1: Department of Chemical and Agricultural Engineering and Agrifood Technology, University of Girona; 2: Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy (DiSAA), Università degli Studi di Milano; 3: Institute for Sustainable Agriculture-CSIC; 4: TEPRO Consultores Agrícolas SL; 5: Gabinete de Iniciativas Europeas SL-GIESA; 6: Black Sea Agricultural Research Institute; 7: University Ibn Tofail, Avenue de l’Université; 8: National Institute of Agronomic Research-INRA; 9: Mohammed VI Polytechnic University; 10: IPC - Instituto Politécnico de Coimbra, Escola Superior Agrária The PROMEDRICE project aims to develop and promote site‑specific agricultural practices that reduce soil and water pollution, while maintaining or improv-ing productivity and water‑use efficiency in Mediterranean rice‑based agroecosystems. Building on the findings of the MEDWATERICE project, which demonstrated the fea-sibility of innovative irrigation strategies that reduce water use without affecting yields, PROMEDRICE takes this approach further to address broader environmental chal-lenges. 2:45pm - 3:00pm
An AHP–ANP Methodological Framework to Prioritise Ecosystem Services for Comparing Rice Irrigation Strategies Università degli Studi di Milano, Italy Rice irrigation strategies affect multiple ecosystem services that are difficult to compare because they rely on different metrics and priorities. A methodological decision-support workflow is presented, integrating expert-derived weights with literature-based indicators to produce a comparable assessment of irrigation options in rice paddies. A structured catalogue of ecosystem services (provisioning, regulating, supporting and cultural) is first defined. Service importance is elicited through expert judgement using the Analytic Hierarchy Process (AHP) to derive priority weights; when interdependencies among services are relevant, the approach is extended to the Analytic Network Process (ANP) to obtain a weight vector accounting for network effects. Each ecosystem service is quantified through measurable indicators selected from the scientific literature and adapted to the local context. Indicators are harmonized and aggregated using AHP–ANP-derived weights to produce comparable ecosystem-service profiles and integrated scores for management options. The framework is being implemented across multiple case studies; to demonstrate its application, it is shown here for the Lomellina rice district (Italy), comparing water seeding with continuous flooding, dry seeding with delayed flooding and alternate wetting and drying. Overall, the proposed approach provides a transferable pathway from expert judgement and evidence-based indicators to an interpretable synthesis of ecosystem-service trade-offs for irrigation decision-making. 3:00pm - 3:15pm
Application of Geospatial Statistical Methods to Study Spatially Varying Nitrate Concentrations in a Rice-Growing District (Northern Italy) 1: Università degli Studi di Milano (UNIMI), Dipartimento di Scienze della Terra 'Ardito Desio' (DISTAD), Milan, Italy; 2: Università degli Studi di Milano (UNIMI), Dipartimento di Scienze Agrarie e Ambientali – Produzione, Territorio, Agroenergia (DiSAA), Milan, Italy Sustainable water management in Mediterranean rice systems must balance productivity and environmental protection. Traditional continuous flooding limits nitrate leaching through denitrification, but the transition toward water-saving irrigation practices (dry seeding, turn-based irrigation) may affect nitrogen dynamics and groundwater quality. This study investigates spatially varying nitrate concentrations and the drivers of nitrate distribution in the phreatic aquifer in the Lomellina district (Northern Italy), one of Europe’s most important rice-growing areas. Nitrate concentration was measured in groundwater, and a geospatial database of 102 environmental and anthropogenic variables was developed. Multivariate generalized linear regression models were implemented to quantify relationships between the selected variables and nitrate concentrations. Based on the results, we identified groundwater table depth, groundwater flow velocity, vertical hydraulic conductivity, soil type, and soil protective capacity as key determinants. The study was carried out in the context of the projects: i) "Applicazione di metodi di statistica spaziale per la valutazione della vulnerabilità e disponibilità della risorsa idrica sotterranea in diversi contesti idrogeologici", funded by the Piano di Sostegno alla Ricerca (PSR Linea 4) by the University of Milan, and ii) “PROMEDRICE project (https://promedrice.org/; PRIMA-Section2-2022)” funded, for the Italian partners, by MUR (Italian Ministry of University and Research). 3:15pm - 3:30pm
Assessing The Potential Of Different Rice Irrigation Strategies In A Rice‑dominated Area In Northern Italy By Combining QGIS‑SWAP‑Paddy And MODFLOW‑6 1: Università degli Studi di Milano (UNIMI), Department of Agricultural and Environmental Sciences – Production, Landscape, Agroenergy (DiSAA), Milan, Italy; 2: Università degli Studi di Milano (UNIMI), Department of Earth Sciences 'Ardito Desio', Mi-lan, Italy; 3: Ente Nazionale Risi (ENR), Centro Ricerche sul Riso, Castello D’Agogna, Italy Corresponding author (e-mail): giulio.gilardi@unimi.it In rice-growing areas, irrigation efficiency is linked to groundwater levels, which regulate percolation in fields and canals, as well as discharge flows from springs and in watercourses. In Agricultural Managed Aquifer Recharge (Ag-MAR), fields are intentionally flooded and water is allowed to circulate in channel networks to recharge aquifers. Quantifying ag-MAR benefits remain challenging due to the complex surface-subsurface water dynamics involved, requiring advanced numerical modelling. This study presents a modelling framework for the Lomellina region in northern Italy (125.000 ha, 60.000 ha cropped with rice), where traditional wet seeding and continuous flooding has recently been replaced by dry seeding and delayed flooding or turned-based irrigation. This has led to lower groundwater levels and increased irrigation demand during the central months of the irrigation season. The framework combines QGIS-SWAP-Paddy, a new modelling tool that estimates irrigation demand and percolation rates in agricultural areas (agricultural fields and channel networks), with MODFLOW-6, which models groundwater flow. This integrated approach enables the evaluation of the impact of different rice irrigation strategies, including Alternate Wetting and Drying (AWD), and Ag-MAR interventions. The study is part of PROMEDRICE (https://promedrice.org/; PRIMA‑Section2–2022), funded for the Italian partners by the Italian Ministry of University and Research (MUR). 3:30pm - 3:45pm
Effects of Water-Saving Irrigation Practices on Soil Salinity in the Baix Ter Rice District 1: University of Girona, Spain; 2: Agrifood Research and Technology Centre of Aragon, Spain Soil salinity in Mediterranean rice fields is traditionally managed via wet seeding, continuous flooding and runoff to leach salts. However, recurrent water scarcity has forced the adoption of water-saving practices, such as the combination of dry seeding, early irrigation cut-off, and elimination of runoff (DENR). While efficient, implementing DENR in areas like Baix Ter (Spain) can exacerbate salinity in salt-affected soils and reduce yields. The Baix Ter rice district was monitored under the PROMEDRICE project (2024–2025) during a water-scarcity period. DENR was applied in the whole district, although some salt-affected fields remained fallow in 2024. The district was divided into six hydrologic units based on soil maps and topography. Water usage was monitored in one comercial field per unit. Soil electrical conductivity (EC) was measured biannually at 13 sites, while sensors tracked apparent EC in three units. Results showed high spatial variability (EC from <2 to 16 dS m-1), demonstrating that water-saving impacts on salinity dynamics are highly site-specific. Higher yields in 2025 compared to 2024 suggest that salinity and water stress limited productivity during severe water scarcity. These results underline the necessity of site-adapted salinity management when implementing water-saving irrigation in Mediterranean rice systems under increasing climate pressure. | ||