Design and use of a database of model parameters from elevated [CO2] experiments

Belinda E. Medlyn, Paul G. Jarvis

Research output: Contribution to journalArticlepeer-review

40 Citations (Scopus)


This paper describes a new approach for linking experiments and models: a searchable database of model parameter values obtained directly from experiments. The experiments were carried out as part of a major European project studying the long-term effects of elevated [CO2] on European forest species. To ensure that the information obtained from these experiments was fully utilised in the modelling component of the project, a database was used to store and synthesise experimental data. Key features of the database include: (1) Data is stored as model parameters rather than raw experimental data, which aids transfer of information from experiments to models. (2) Extensive meta-data is stored, which is crucial for correct interpretation of parameter values. (3) The database has a relational structure, which facilitates data retrieval. In this paper, we document the structure of the database. The structure is flexible and generic and could easily be adapted to suit other fields of research. We illustrate the use of the database with examples from the project.

Original languageEnglish
Pages (from-to)69-83
Number of pages15
JournalEcological Modelling
Issue number1
Publication statusPublished - 1 Dec 1999
Externally publishedYes


  • Atmospheric carbon dioxide
  • Database
  • Forests
  • Model parameters


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