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ANAFORE: A stand-scale process-based forest model that includes wood tissue development and labile carbon storage in trees

Author

Listed:
  • Deckmyn, G.
  • Verbeeck, H.
  • Op de Beeck, M.
  • Vansteenkiste, D.
  • Steppe, K.
  • Ceulemans, R.

Abstract

A stand-scale forest model has been developed that dynamically simulates, besides carbon (C) and water (H2O) fluxes, wood tissue development from physiological principles. The forest stand is described as consisting of trees of different size cohorts (for example, dominant, co-dominant and suppressed trees), either of the same or of different species (deciduous or coniferous). Half-hourly C and H2O fluxes are modeled at the leaf, tree and stand level. In addition to total growth and yield, the model simulates the daily evolution of tracheid or vessel biomass and radius, parenchyma and branch development. From these data early and latewood biomass, wood tissue composition and density are calculated. Simulation of the labile C stored in the living tissues allows for simulation of trans-seasonal and trans-yearly effects, and improved simulations of long-term effects of environmental stresses on growth. A sensitivity analysis was performed to indicate the main parameters influencing simulated stem growth and wood quality at the tree and stand level. Case studies were performed for a temperate pine forest to illustrate the main model functioning and, more in particular, the simulation of the wood quality. The results indicate that the ANAFORE model is a useful tool for simultaneous analyses of wood quality development and forest ecosystem functioning.

Suggested Citation

  • Deckmyn, G. & Verbeeck, H. & Op de Beeck, M. & Vansteenkiste, D. & Steppe, K. & Ceulemans, R., 2008. "ANAFORE: A stand-scale process-based forest model that includes wood tissue development and labile carbon storage in trees," Ecological Modelling, Elsevier, vol. 215(4), pages 345-368.
    • Handle: RePEc:eee:ecomod:v:215:y:2008:i:4:p:345-368
    DOI: 10.1016/j.ecolmodel.2008.04.007
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    Cited by:

    1. Deckmyn, G. & Campioli, M. & Muys, B. & Kraigher, H., 2011. "Simulating C cycles in forest soils: Including the active role of micro-organisms in the ANAFORE forest model," Ecological Modelling, Elsevier, vol. 222(12), pages 1972-1985.
    2. Pretzsch, Hans & Forrester, David I. & Rötzer, Thomas, 2015. "Representation of species mixing in forest growth models. A review and perspective," Ecological Modelling, Elsevier, vol. 313(C), pages 276-292.
    3. Lagarrigues, Guillaume & Jabot, Franck & Lafond, Valentine & Courbaud, Benoit, 2015. "Approximate Bayesian computation to recalibrate individual-based models with population data: Illustration with a forest simulation model," Ecological Modelling, Elsevier, vol. 306(C), pages 278-286.

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