Agrométéorologie (Arlon)

Involvement in MACSUR

The research group is in charge of the coordination of the project MACSUR at the Belgian level. It is involved in all the tasks of MACSUR in Belgium:

CropM

WP1 – MODEL INTERCOMPARISONS IMPROVEMENT

Task C1.4. Develop and apply model evaluation methods
Task C1.5. Model inter-comparison and improvement

WP2 – DATA MANAGEMENT

Task C2.3. Field experiment protocol
Task C2.5. Empirical data analysis

WP3 – METHODS OF SCALING AND MODEL LINKING

Task C3.3. Comparison of scaling method

WP4 – SCENARIO DEVELOPMENT AND IMPACT UNCERTAINTY EVALUATION

Task C4.1. Development of a common set of methods and protocols for assessing and communicating uncertainties
Task C4.2. Development of standardized methods for sensitivity analysis of crops models
Task C4.4. Development of methods for the probabilistic assessment of climate change impacts on crop production
Task C4.5. Development of a methodology for probabilistic evaluation of adaptation options

LiveM

WP1 – BUILDING AND EXPLORING DATASETS AND CLIMATE MODELS ON CLIMATE CHANGE IN RELATION TO LIVESTOCK AND GRASSLAND

Task L1.1. Identification of datasets on climate change in relation to livestock productivity (production and fitness traits) and livestock infectious disease.
Task L1.2. National and transnational dairy cows biometeorological datasets linked to productive, reproductive and health performances data.

WP2 – MODEL INTERCOMPARISONS

Task L2.4. Grasslands model intercomparison

Research group

Unit Eau-Environnement-Développement – website

agrometeo_arlon

Within the research unit “Eau – Environnement – Développement“, the research group in agrometeorology is focusing on the relationship between agriculture and physical environment. The research interests are the need and requirements of the plants in water, radiation and temperature under various latitudes. Using soil-plant-atmosphere modelling, the research objectives are threefold:

  • to assess the impacts of agricultural practices on surface and deep water quality and quantity;
  • to integrate environmental parameters, in particular weather conditions, in decision-making tool for agriculture production along the complete agricultural season;
  • to assess and optimize the agrometeorological potential in agriculture productions.

More precisely, research topics include water management from agricultural watersheds, hydrological basins and to the national level, yield monitoring and forecasting, cereals disease monitoring, agri-environment measures management, and desertification process evaluation. The climate change issue and its impacts on crops and human well-being is currently increasing in the research group.

Contact: Bernard Tychon