Quantifying forest net primary production: combining eddy flux, inventory and metabolic theory

iForest - Biogeosciences and Forestry

Goulden M¹  Sato T²  Tan Z-H³  Kosugi Y⁴  Han S-J⁵  Hao Z-Q⁵  Ma K-P⁶  Yu G-R⁷  Cao M⁸  Hughes A⁸  Zhang Y-P⁸  Deng X-B⁸  Hu Y-H⁸ 

[1] Department of Earth System Science, University of California, Irvine 92697 (USA);Department of Forest Vegetation, Forestry and Forest Products Research Institute, Tsukuba 305-8687 (Japan);Ecology Program, Department of Environmental Science, Hainan University, Haikou 570228 (China);Forest Hydrology Lab, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502 (Japan);Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016 (China);Institute of Botany, Chinese Academy of Sciences, Beijing 100093 (China);Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 (China);Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650223 (China);

关键词: Carbon Use Efficiency;    Metabolic Theory of Ecology;    Autotrophic Respiration;    Biomass;    Eddy Covariance;   

DOI  :  10.3832/ifor2159-010

来源: DOAJ

【 摘 要 】

Net primary production (NPP) is a central and fundamental carbon-related term in global change studies. We proposed a top-down method to quantifying forest NPP which overcomes the deficits of the traditional bottom-up method. The new top-down method combines eddy flux data, climate variables, tree inventory and metabolic theory. Our method was tested in six forests and provides reliable annual NPP estimations which are consistent with bottom-up results. Carbon use efficiency also supports this new method. Taking advantage of fine temporal resolution of our top-down method, we examined whether and confirmed NPP was well correlated with leaf area index at a seasonal scale, as suggested by past studies. The potential value of our new method as a standard NPP method is high because of the world-wide network on eddy tower and inventory plot, however further data of performance of the new method is needed to fully evaluate its performance under different conditions.

【 授权许可】

Unknown