Comparison of Growth Responses to Climatic Conditions of Sugi (<i>Cryptomeria japonica</i>) and Hinoki (<i>Chamaecyparis obtusa</i>) Using a Carbon Balance-Based Growth Model

• Mitsuda Yasushi

  University of Miyazaki

• Hosoda Kazuo

  Department of Forest Management, Forestry and Forest Products Research Institute

• Iehara Toshiro

  Kansai Research Center, Forestry and Forest Products Research Institute

Abstract

This paper aimed to reveal differences in growth response to climatic condition between sugi (Cryptomeria japonica) and hinoki (Chamaecyparis obtusa) by comparing parameters of a carbon balance based growth model. Seven carbon balance-based growth model parameters related to the rate of photosynthesis, temperature and humidity controls were parameterized by a Bayesian calibration using growth data derived from permanent plots. A hierarchical Bayes model was applied to this parameterization, where the common parameter was estimated frst and the species-specific parameters were derived from the common parameter thereafter. Simulated light-response curves using estimated parameters were similar and the photosynthetic rate of sugi was higher than that of hinoki. The patterns of response to temperature represented by estimated parameters were different between sugi and hinoki; sugi responded rapidly to changes in temperature while hinoki responded relatively slowly,resulting in a higher tolerance to low temperature than sugi. Estimated parameters indicated that the photosynthetic rate controlling function for humidity could not be implemented for either species in the model. The parameterization of a carbon balance-based growth model revealed differences in the potential photosynthetic ability and response to temperature of sugi and hinoki. However, we could not represent the control effect of humidity on the photosynthetic rate.

Journal

• FORMATH

  FORMATH 16 (0), 32-42, 2017

  FORMATH Research Society

Keywords

• process-based growth model
• hierarchical Bayes model
• Bayesian calibration
• Markov Chain Monte Carlo

Details

• CRID: 1390282680726706304
• NII Article ID: 130007040576
• DOI: 10.15684/formath.16.004
• ISSN: 21885729
• Web Site: https://www.jstage.jst.go.jp/article/formath/16/0/16_16.004/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed