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Simulating seasonal and inter‐annual variations in energy and carbon exchanges and forest dynamics using a process‐based atmosphere–vegetation dynamics model
Author(s) -
Toda Motomu,
Takata Kumiko,
Nishimura Naoyuki,
Yamada Masahito,
Miki Naoko,
Nakai Taro,
Kodama Yuji,
Uemura Shigeru,
Watanabe Tsutomu,
Sumida Akihiro,
Hara Toshihiko
Publication year - 2011
Publication title -
ecological research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.628
H-Index - 68
eISSN - 1440-1703
pISSN - 0912-3814
DOI - 10.1007/s11284-010-0763-6
Subject(s) - environmental science , taiga , eddy covariance , evapotranspiration , deciduous , vegetation (pathology) , atmospheric sciences , biomass (ecology) , primary production , boreal , atmosphere (unit) , precipitation , forest ecology , carbon cycle , forest inventory , climatology , ecosystem , ecology , forestry , meteorology , geography , forest management , agroforestry , geology , biology , medicine , pathology
The present paper shows simulated results of seasonal and inter‐annual variations in energy and carbon exchanges and forest dynamics in a sub‐boreal deciduous forest using a fully coupled atmosphere–vegetation interaction model [multilayered integrated numerical model of surface physics‐growing plants interaction (MINoSGI)]. With careful adjustment of site‐specific eco‐physiological parameters, MINoSGI reproduced successfully stand biomass–tree density relationship based on the forest inventory data for 7 years (1999–2005) and seasonal and inter‐annual variations in energy and CO 2 fluxes measured by means of eddy covariance technique for 3 years (2003–2005) in the sub‐boreal forest, northern Japan. In addition, MINoSGI estimated annual evapotranspiration ( E vt ) at 328.6 ± 25.8 mm year −1 , net primary production (NPP) at 372.1 ± 31.5 gC m −2 year −1 and net ecosystem exchange (NEE) at −224.2 ± 32.2 gC m −2 year −1 . We found the estimate of annual NEE in our site lies among the estimates at other forest stands with the almost same climatic conditions in northern Japan, although the tree species and stand age of these forests are different from those of our site. Overall, MINoSGI was found useful to present simultaneous simulations of forest dynamics, surface energy, and carbon exchanges of a forest stand in the future from micro‐meteorological and ecophysiological points of view.