HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Environmental Science / Faculty of Environmental Earth Science >
Peer-reviewed Journal Articles, etc >

Estimating the three-dimensional structure of canopy foliage based on the light measurements in a Betula ermanii stand

Files in This Item:
moshiri2007.pdf462.79 kBPDFView/Open
Please use this identifier to cite or link to this item:

Title: Estimating the three-dimensional structure of canopy foliage based on the light measurements in a Betula ermanii stand
Authors: Kubo, Takuya Browse this author →KAKEN DB
Kobayashi, Tsuyoshi Browse this author
Kato, Kyoko Browse this author
Nishimura, Seiichi Browse this author
Uemura, Shigeru Browse this author →KAKEN DB
Ono, Kiyomi Browse this author →KAKEN DB
Sumida, Akihiro Browse this author →KAKEN DB
Hara, Toshihiko Browse this author
Keywords: canopy structure
foliage configuration
Markov Chain Monte Carlo
Issue Date: 4-Jul-2008
Publisher: Elsevier
Journal Title: Agricultural and Forest Meteorology
Volume: 148
Issue: 8-9
Start Page: 1293
End Page: 1304
Publisher DOI: 10.1016/j.agrformet.2008.03.008
Abstract: In order to more accurately evaluate the functional activity of forest stands by canopy production and evapotranspiration, we improved the methods for field measurements and statistical modeling to estimate foliage configuration (spatial distribution of leaves) while simultaneously reconstructing the three-dimensional photosynthetically active photon flux density (PPFD) distribution (PPFD pattern) in a forest canopy. By using a sensor (photodiode) array, a PPFD pattern was observed in summer 2002 under the canopy in an even-aged, pure stand of Japanese mountain birch Betula ermanii Cham. (17-year-old) in Hokkaido, northern Japan. A Markov Chain Monte Carlo (MCMC) sampling technique is developed such that a set of foliage configurations generated by the model referred to as the Gibbs foliage canopy (GFC) approximates the field-measured PPFD pattern. The posterior distribution of the foliage configurations is generated by the parallel tempering MCMC of eight independent series of foliage configurations. The GFC model generated the posterior distribution of the LAI estimates (mean 4.56) that appeared to be appropriate in comparison to other LAI estimates of the B. ermanii stand based on the indirect and nondestructive methods by LAI-2000 (LAI = 3.43) and litterfall traps (LAI = 5.56) because they could be under- and overestimated, respectively. Our evaluations of the canopy production and evapotranspiration rates suggest that the relationship between LAI and canopy functions was not very simple because it depended on the nonlinear functional forms of the leaf responses of photosynthesis and transpiration to PPFD. The current study demonstrates an application of MCMC techniques that can generate a set of possible structures of unobserved/unobservable objects based on the high resolution data set obtained by some indirect (or remote-sensing) methods.
Type: article (author version)
Appears in Collections:環境科学院・地球環境科学研究院 (Graduate School of Environmental Science / Faculty of Environmental Earth Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 久保 拓弥

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 - Hokkaido University