References of "Wellens, Joost"
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See detailAquaCrop cassava assessment
Wellens, Joost ULiege; Raes, Dirk; Fereres, Elias et al

in INTERNATIONAL ATOMIC ENERGY AGENCY, Soils Newsletter (2022), 44(2), 35-36

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See detailTable ronde: Vers des nouvelles modalités de coopération Nord-Sud?
Wellens, Joost ULiege

Speech/Talk (2021)

La transition met en avant un impératif de changement visant à rencontrer les grands enjeux écologiques et sociaux tout en assurant plus d’équité nationale et internationale, y compris ... [more ▼]

La transition met en avant un impératif de changement visant à rencontrer les grands enjeux écologiques et sociaux tout en assurant plus d’équité nationale et internationale, y compris intergénérationnelle. Les universités ont un rôle central à jouer face à ces défis environnementaux en tant qu’institutions de formation et de recherche à la pointe dans des domaines de plus en plus complexes, interdisciplinaires en lien avec les attentes des citoyens et des acteurs économiques, sociaux et politiques. Le colloque interroge la dimension internationale de ce rôle, plus particulièrement l’évolution de la coopération universitaire au développement. Il vise à débattre de l’impact de l’engagement de l’université dans un processus de transition sur les modalités de coopération des institutions partenaires au Nord et au Sud. [less ▲]

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See detailAssimilation of Sentinel-1 change detection in the AquaCrop model: case of sugarcane
Wellens, Joost ULiege; Stasolla, Mattia; Sall, Mor Talla et al

in 2021 IEEE International Geoscience and Remote Sensing Symposium (2021, July)

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See detailCereal yield forecasting in Morocco using the CARAIB dynamic vegetation model driven by HadGEM2-AO projections
Loudiyi, Iliass ULiege; Jacquemin, Ingrid ULiege; Tychon, Bernard ULiege et al

Conference (2021, April 30)

Food security, in Morocco as in many parts of the world, depends heavily on cereal production which fluctuates relying on weather conditions. In fact, Morocco has a production system for cereals which is ... [more ▼]

Food security, in Morocco as in many parts of the world, depends heavily on cereal production which fluctuates relying on weather conditions. In fact, Morocco has a production system for cereals which is dominated by rainfed. It is therefore necessary to further develop knowledge about climate change and strengthen forecasting systems for predicting the impacts of climate change. Our research, funded by a bilateral project of Wallonie-Bruxelles International, aims to study the response of cereal production to climate change, using the dynamic vegetation model CARAIB (CARbon Assimilation In the Biosphere) developed within the Unit for Modelling of Climate and Biogeochemical Cycles (UMCCB) of the University of Liège. This spatial model includes crops and natural vegetation and may react dynamically to land use changes. Originally constructed to study vegetation dynamics and carbon cycle, it includes coupled hydrological, biogeochemical, biogeographical and fire modules. These modules respectively describe the exchange of water between the atmosphere, the soil and the vegetation, the photosynthetic production and the evolution of carbon stocks and fluxes in this vegetation-soil system. For crops, a specific module describes basic management parameters (sowing, harvest, rotation) and phenological phases. The simulations are performed across all Morocco using different input data. The three main cereal crops simulated include soft wheat, durum wheat and barley, they are grown in all provinces and all agro-ecological zones. Regarding climatic inputs, we’re using two sets of data: the first one is interpolated and bias-corrected fields from the climate model HadGEM2-AO for the historical period (1990-2005), in addition to three different Representative Concentration Pathway scenarios (RCP2.6, RCP4.5 and RCP8.5) from 2005 to 2100. The second one is high resolution (30 arc sec) gridded climate data derived from WorldClim combined with interpolated anomalies from CRU (Climatic Research Unit) over the historical period 1990 to 2018. After obtaining preliminary results for the past period, and in order to improve the prediction using the field data which are the observed yields, we performed a sensitivity analysis. We used the One-at-a-time (OAT) approach by moving one input variable, keeping others at their baseline (nominal) values, then, returning the variable to its nominal value, then repeating for each of the other inputs in the same way. Sensitivity may then be measured by monitoring changes in the output, using linear regression. The inputs studied are the initial value of carbon pool, leaf C/N ratio, water stress, sowing date, GDD harvest, stomatal conductance parameters, specific leaf area, and rooting depth. [less ▲]

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See detailA framework for IWRM in the Water-Energy-Food Nexus for the Senegal River Delta
Sall, Mor Talla; Diop, Penda; Wellens, Joost ULiege et al

in Diop, Salif; Scheren, Peter; Niang, Awa (Eds.) Climate Change and Water Resources in Africa (2021)

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See detailImpacts of Irrigation Water on the Hydrodynamics and Saline Behavior of the Shallow Alluvial Aquifer in the Senegal River Delta
Gning, Abdoul Aziz; Orban, Philippe ULiege; Malou, Raymond et al

in Water (Switzerland) (2021), 13

The Senegal River Delta located in north-western Senegal is a strategic region for the development of irrigated rice cultivation for achieving rice self-sufficiency. The presence of a shallow salty water ... [more ▼]

The Senegal River Delta located in north-western Senegal is a strategic region for the development of irrigated rice cultivation for achieving rice self-sufficiency. The presence of a shallow salty water table is often considered as a brake to the development of irrigation, by causing salinization of the soil, although the mechanisms of operation are not well known. An experimental study was carried out in a rice paddy located in the village of Ndiaye, 35 km north from Saint Louis, to characterize the water and solute flux processes below the irrigated plots. The objective was to better understand the irrigation-driven dynamics of soil salinization processes. An experimental monitoring network was installed for monitoring the transit of water at the plot level, in the unsaturated zone and in the aquifer. The results show that the supply of water by irrigation contributes to significantly recharging the water table, as shown by the rise in piezometric level, with a concomitant dilution of the water salinity in the soil zone and in the shallow groundwater. However, when irrigation is stopped, the groundwater level and salinity return within a month to their initial level and salinity status because of the evaporative recovery, which strongly governs these processes. Thus, water flow and solute transfers operate in the delta following a recharge–discharge and dilution–concentration cycle controlled by the water balance, and we do not expect to observe in the short- to middle-term any significant reduction in soil salinization processes by drainage. [less ▲]

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See detailGIRE & Nexus Eau-Energie-Alimentation: définition, opportunités, contraintes & perspectives
Wellens, Joost ULiege

Conference given outside the academic context (2021)

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See detailCalibration and validation of the AquaCrop water productivity model for cassava (Manihot esculenta Crantz)
Wellens, Joost ULiege; Raes, Dirk; Fereres, Elias et al

in Agricultural Water Management (2021), 263(107491),

FAO’s water-driven crop growth simulation model, AquaCrop, was calibrated and validated for cassava (Manihot esculenta Crantz). Existing datasets, used in similar published works, were shared covering ... [more ▼]

FAO’s water-driven crop growth simulation model, AquaCrop, was calibrated and validated for cassava (Manihot esculenta Crantz). Existing datasets, used in similar published works, were shared covering several years and regions (Colombia, Nigeria and Togo). Different varieties were tested for the case of Colombia and a single variety (TME-419) for Nigeria and Togo. Overall calibrated biomass simulations resulted in an R² of 0.96 and a RMSE of 1.99 tonne DM/ha. As for dry tuber yield estimates, it was not possible to find a single harvest index for the ensembled varieties given their varying characteristics and limited data per variety. However, for the TME-419 variety (Nigeria and Togo) calibrated root tuber simulations yielded and R² of 0.94 and a RMSE of 2.37 tonne DM/ha. A single crop-file was developed for different cassava varieties and agro-ecological regions, which can be applied with confidence to further study cassava related food security, water productivity, improved agronomic practices, etc. [less ▲]

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See detailTesting an open app-based water management information sysem and its uptake among stakeholders in the Upper-Comoé river basin (Burkina Faso)
Pale, Sie; Wellens, Joost ULiege; Traoré, Farid et al

in Water International (2021), 46 (3)

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See detailRisque naturel
Ozer, Pierre ULiege; Bruckmann, Laurent ULiege; Wellens, Joost ULiege

in Hypergeo (2020)

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See detailTips for CC determination: field level and satellite derived
Wellens, Joost ULiege; Mohamed Sallah, Abdoul-Hamid ULiege

Scientific conference (2020, October)

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See detailDefinition & facts of WASH
Wellens, Joost ULiege

Conference given outside the academic context (2020)

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See detailFace au réchauffement climatique, l'agriculture doit se réinventer
Degré, Aurore ULiege; Bodson, Bernard ULiege; Jijakli, Haissam ULiege et al

Article for general public (2020)

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See detailShort history & definition of Water-Energy-Food Nexus
Wellens, Joost ULiege

Conference given outside the academic context (2020)

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See detailSimulating and analysing climate change impacts on crop yields in Morocco using the CARAIB dynamic vegetation model driven by Med- CORDEX projections
Loudiyi, Iliass ULiege; Jacquemin, Ingrid ULiege; Tychon, Bernard ULiege et al

Conference (2020, May 08)

Morocco, by its geographical position and its climate, is strongly affected by climate change and presents an ever-increasing vulnerability. In fact, the country's economy, being very dependent on ... [more ▼]

Morocco, by its geographical position and its climate, is strongly affected by climate change and presents an ever-increasing vulnerability. In fact, the country's economy, being very dependent on agriculture, would be greatly affected. It is therefore necessary to further develop knowledge about climate change and strengthen forcasting systems for predicting the impacts of climate change. The agriculture in Morocco is largely dominated by rainfed crops and therefore dependent on pluviometry. According to the Global Yield Gap Atlas, about 43% of arable land is devoted to cereals, 7% to plantation crops (olives, almonds, citrus, grapes, dates), 3% to pulses, 2% to forage, 2% to vegetables, 2% to industrial crops (sugar beets, sugar cane, cotton) and oilseeds, and 42% is fallow. In this project we are going to focus on cereals, olives, potatoes and sugar beets. Regarding the climate, Morocco is characterized by a wide variety of topographies ranging from mountains to plains, oasis and Saharan dunes. For this reason, the country experiences diverse climatic conditions with large spatial and intra- and inter-annual variability of precipitation. Morocco faces irregular rain patterns, cold spells and heat waves increasingly resulting in droughts, which significantly affects agriculture. Our research, funded by a bilateral project of Wallonie-Bruxelles International, aims to study the response of Moroccan agriculture to climate change, using the dynamic vegetation model CARAIB (CARbon Assimilation In the Biosphere) developed within the Unit for Modelling of Climate and Biogeochemical Cycles (UMCCB) of the University of Liège. This spatial model includes crops and natural vegetation and may react dynamically to land use changes. Originally constructed to study vegetation dynamics and carbon cycle, it includes coupled hydrological, biogeochemical, biogeographical and fire modules. These modules respectively describe the exchange of water between the atmosphere, the soil and the vegetation, the photosynthetic production and the evolution of carbon stocks and fluxes in this vegetation-soil system. The biogeographical module describes, for natural vegetation, the establishment, growth, competition, mortality, and regeneration of plant species, as well as the occurrence and propagation of fires. For crops, a specific module describes basic management (sowing, harvest, rotation) and phenological phases. Model simulations are performed across north-west Morocco, where the crops activities are important, by using different input data. The timeline of simulations is divided in two periods: past (from 1901 to 2018[LF1] ) and future (from 2019 to 2100). For the past period, we are using high resolution (30 arc sec) gridded climate data derived from WorldClim (climatology) and interpolated anomalies from Climate Research Unit CRU (trend and variability). For the future period, we use interpolated and bias-corrected fields from a regional climate model (ALADIN-Climate) from the Med-CORDEX initiative run at a spatial resolution of 12 km and for three different Representative Concentration Pathway scenarios (RCP2.6, RCP4.5 and RCP8.5). [less ▲]

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See detailProcessing chain for parcel and regional crop monitoring (PROCCY): Open Data, Sentinel-2, AquaCrop and sugar cane
Wellens, Joost ULiege; Sall, Mor Talla; Ville, Anouk

in iCROPM 2020: Crop Modelling for the Future - Book of Abstracts (2020, February)

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See detailL'eau: un objectif durable, un savoir-faire wallon
Plumat, Stéphan; Derouane, Johan; Wellens, Joost ULiege et al

Article for general public (2020)

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See detailIntegrated Water Resources Management: past, present and future
Wellens, Joost ULiege; Derouane, Johan; Pale, Sié ULiege et al

in Geo-Eco-Trop (2019)

Detailed reference viewed: 75 (11 ULiège)