1. A transport model for tree ring width
- Author
-
Francʹois Houllier, Christine Deleuze, The Finnish Society of Forest Science, Suomen metsätieteellinen seura, and Finlands Forstvetenskapliga Samfund
- Subjects
0106 biological sciences ,lehvästö ,hiili ,Münch’s theory ,stem taper ,Geometry ,kasvu ,010603 evolutionary biology ,01 natural sciences ,juuristo ,allocation ,partitioning ,Dendrochronology ,kasviosat ,lcsh:Forestry ,aineenvaihdunta ,kasvumallit ,Ecology ,Ecological Modeling ,carbon ,functional balance ,kasvifysiologia ,reaction-diffusion ,Forestry ,vuosilusto ,mallit ,15. Life on land ,process-model ,runkomuoto ,Environmental science ,lcsh:SD1-669.5 ,wood distribution ,optimization ,010606 plant biology & botany - Abstract
Process-based tree growth models are recognized to be flexible tools which are valuable for investigating tree growth in relation to changing environment or silvicultural treatments. In the context of forestry, we address two key modelling problems: allocation of growth which determines total wood production, and distribution of wood along the stem which determines stem form and wood quality. Growth allocation and distribution are the outcome of carbon translocation, which may be described by the Münch theory. We propose a simpler gradient process to describe the carbon distribution in the phloem of conifers. This model is a re-formulation of a carbon diffusion-like process proposed by Thornley in 1972. By taking into account the continuity of the cambium along the stem, we obtain a one dimensional reaction-diffusion model which describes both growth allocation between foliage, stem and roots, and growth distribution along the stem. Distribution of wood along the stem is then regarded as an allocation process at a smaller scale. A preliminary sensitivity analysis is presented. The model predicts a strong relationship between morphology and foliage:root allocation. It also suggests how empirical data, such as stem analysis, could be used to calibrate and validate allocation rules in process-based growth models.
- Published
- 1997