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CP 5 Data Infrastructure and Model support.
Leader: Rapha�l Martin (INRA)

Background and Aims

ANIMALCHANGE requires a systematic, comprehensive and integrative approach, where a multitude of experimental data, of socio-economic data, of GHG measurements, of farm data and of long-term observations along with meteorological observations is brought together with state-of-the-art process modelling approaches.

This objective will be achieved by integrating three major types of scientific data, along with meteorological data and scenarios, from:

  • long-term observations spanning several times-scales (e.g. eddy covariance data, crop yields, animal production, long-term remote sensing data on soil moisture and vegetation activity, soil data bases),
  • a network of established ecosystem and animal manipulation experiments in CP1 and CP2,
  • a network of highly documented case-study farms in CP3. Moreover, detailed geo-referenced agricultural statistics data will be used in CP1 and in CP4 for the regional modelling of livestock systems.

The first objective of this component establishes the data infrastructure of the project through a series of interconnected data bases, that will link the activities in the four research components (CP1 to CP4). Therefore, CP5 is the backbone of the project in terms of workflow. The second objective of CP5 is to facilitate the use of models, their parametrisation and their interpretation by providing a series of methods and of tools.

Component 5 is organized into 3 Tasks

Major Outcomes

  • A detailed description of the data base architecture with guidelines for use.
    • quality controlled data infrastructure for ANIMALCHANGE with full WEB access for partners and with publicly accessible metadata information
  • Bayesian methods for improving project model estimates with guidelines for use.
    • o Improved model estimates and management actions over time and space.
  • Numerical methods for project vulnerability analyses with guidelines for use.
    • Best practice guidelines for analysis of system sensitivity to climatic change (fields, farms)
    • A set of tested and consistent methods for vulnerability analyses in the project with their associated guidelines.

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