A process-based growth model for the grass stage pine seedlings

Authors
Citation
J. Koskela, A process-based growth model for the grass stage pine seedlings, SILVA FENN, 34(1), 2000, pp. 3-20
Citations number
41
Categorie Soggetti
Plant Sciences
Journal title
SILVA FENNICA
ISSN journal
00375330 → ACNP
Volume
34
Issue
1
Year of publication
2000
Pages
3 - 20
Database
ISI
SICI code
0037-5330(2000)34:1<3:APGMFT>2.0.ZU;2-M
Abstract
A carbon- and nitrogen-balance model, applying pipe model theory and a modi fication of functional balance as growth-guiding rules, is presented for th e grass stage pine seedlings. Three populations of Pinus merkusii Jungh. et de Vriese, originating from northern and northeastern Thailand, were grown under controlled environment for 47 weeks to obtain parameter information, to evaluate the model performance and to investigate genotypic variation i n various characteristics among the populations. Monte Carlo simulations we re used to evaluate the sensitivity of the model behaviour to varying param eter values and to calibrate the model for each population. With given sets of parameter values, the simulated biomass development fitt ed rather well the observed one during the experiment. The two most importa nt parameters determining model performance were within-shoot shading and s pecific nitrogen uptake rate of fine roots. The fit of simulated versus mea sured fine roots had a major effect on acceptable model performance in Mont e Carlo simulations. Significant variation in biomass growth, nitrogen use efficiency, height, stem diameter, total carbon concentrations of stem and fine roots, and total nitrogen concentrations of needles, transport roots a nd fine roots was found among the populations. The observed genotypic varia tion in seedling biomass and stem diameter was consistent with the geograph ical distribution of the populations while the variation in the rest of the measured characteristics was not. It seems that P. merkusii populations in Thailand are adapted to more site specific conditions rather than climatic conditions alone, and that the variation in biomass growth may result from variation in internal carbon and nitrogen dynamics among the populations.