B43H-0641
Ecophysiological parameters for a coupled photosynthesis and stomatal conductance model derived from eddy covariance measurements in Asia

Thursday, 17 December 2015
Poster Hall (Moscone South)
Masahito Ueyama1, Kazuhito Ichii2, Hideki Kobayashi2, Maricar C. R. Alberto3, Marion Syndonia Bret-Harte4, Colin Edgar4, Eugenie Susanne Euskirchen4, Takashi Hirano5, Ryuichi Hirata6, Reiko Ide6, Yoshiko Kosugi7, Takashi Machimura8, Yasuko Mizoguchi9, Takeshi Ohta10, Nobuko Saigusa11, Taku M Saitoh12, Kentaro Takagi5, Satoru Takanashi13 and Yiping Zhang14, (1)Osaka Prefecture University, Sakai, Japan, (2)JAMSTEC Japan Agency for Marine-Earth Science and Technology, Kanagawa, Japan, (3)International Rice Research Institute, Laguna, Philippines, (4)University of Alaska Fairbanks, Fairbanks, AK, United States, (5)Hokkaido University, Sapporo, Japan, (6)NIES, Japan, Tsukuba, Japan, (7)Kyoto University, Kyoto, Japan, (8)Osaka University, Osaka, Japan, (9)Forestry and Forest Products Research Institute, Sapporo, Japan, (10)Nagoya University, Graduate School of Bioagricultural Sciences, Nagoya, Japan, (11)Nat Inst Environmental Studies, Ibaraki, Japan, (12)Gifu University, Gifu, Japan, (13)Forestry and Forest Products Research Institute, Tsukuba, Japan, (14)Key Lab of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, ChinaKey Lab of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, China
Abstract:
 For better understanding carbon and water vapor fluxes in Asia, ecophysiological parameters of a coupled photosynthesis and stomatal conductance big-leaf model (Farquhar et al., 1980; Ball and Berry, 1987) were inversely estimated using micrometeorological data at 48 sites in Asia. The data covered various ecosystems of arctic tundra, boreal, temperate, and tropical forests, grasslands, and croplands. We applied a global optimization method; shuffled complex evolution (SCE-UA) method (Duan et al., 1993). First stomatal conductance parameters (m and b in the Ball-Berry model) were optimized for evapotranspiration, and then photosynthetic parameters (maximum carboxylation rate at 25oC; Vcmax25) were optimized for gross primarily productivity (GPP). The canopy-scale parameters were then downscaled into the leaf-scale using a two-leaf radiative transfer models and leaf area index (LAI) by MODIS. In the presentation, we will show the spatial variability of the ecophysiological parameters in terms of environmental gradients, and ecosystem types. Implications and limitations of the synthesis will be discussed.

References

Ball and Berry, 1987: Progress in Photosynthesis Research, pp 221-224.

Duan et al., 1993: J. Optimization Theory and Applications, 76, 501-521.

Farquhar et al., 1980: Planta, 149, 78-90.

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