FORTRAN/JAVA
CASTANEA

CASTANEA is a physiological multilayer process-based model designed to predict the carbon balance of an even-aged, monospecific deciduous forest stand. The main output variables are: (1) leaf area index (LAI), standing biomass, soil carbon content and water content, which are state variables; and (2) canopy photosynthesis, maintenance respiration, growth of organs, growth respiration, soil heterotrophic respiration, transpiration and evapotranspiration, which are flux density variables

CASTANEA

CASTANEA is a physiological multilayer process-based model designed to predict the carbon balance of an even-aged, monospecific deciduous forest stand. The main output variables are: (1) leaf area index (LAI), standing biomass, soil carbon content and water content, which are state variables; and (2) canopy photosynthesis, maintenance respiration, growth of organs, growth respiration, soil heterotrophic respiration, transpiration and evapotranspiration, which are flux density variables

WHAT WE DO
  • Provide training and technical support for modelling activities to research groups at CREAF.
  • Develop and promote the use of process-based and empirical models aimed at predicting the response of terrestrial ecosystems to global change at multiple scales from the forest stand to the region.
  • Facilitate discovery of data sets or models relevant for ecosystem modelling activities.
  • Develop tools aimed at facilitating the interoperability between data sources and models, and between different models.
  • Develop and maintain interactive web applications for ecosystem data exploration and visualization.
CONTACT

Campus de Bellaterra (UAB) Edifici C

08193 Cerdanyola del Vallès

EcosystemModellingFacility@creaf.uab.cat

This action is part of the Severo Ochoa "ULandscape" funded in 2019 by the Agencia Estatal de Investigación of the Spanish Ministry of Science and Innovation to support Research Centres of Excellence.

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