CO2 Flux Estimation by Different Regression Methods from an Alpine Meadow on the Qinghai-Tibetan Plateau |
| |
| Authors: | JIANG Chunming YU Guirui CAO Guangmin LI Yingnian ZHANG Shichun and FANG Huajun |
| |
| Institution: | Key Laboratory of Ecosystem Network Observation and Modeling, Chinese Academy of Sciences, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, Graduate University of the Chinese Academy of Sciences, Beijing 100049,Key Laboratory of Ecosystem Network Observation and Modeling, Chinese Academy of Sciences, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101,Northwest Plateau Institute of Biology, Chinese Academy of Sciences, Xining 810008,Northwest Plateau Institute of Biology, Chinese Academy of Sciences, Xining 810008,Key Laboratory of Ecosystem Network Observation and Modeling, Chinese Academy of Sciences, Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences, Beijing 100101, Graduate University of the Chinese Academy of Sciences, Beijing 100049,Key Laboratory of Ecosystem Network Observation and Modeling, Chinese Academy of Sciences, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 |
| |
| Abstract: | CO2 efflux was estimated using different regression methods in static
chamber observation from an alpine meadow on the Qinghai-Tibetan Plateau.
The CO2 efflux showed a seasonal pattern, with the maximun flux
occurring in the middle of July. The temperature sensitivity of CO2
efflux (Q10> was 3.9, which was at the high end of the range of
global values. CO2 emissions calculated by linear and nonlinear
regression were significantly different (p<0.05). Compared with the linear
regression, CO2 emissions calculated by exponential regression and
quadratic regression were 12.7% and 11.2% larger, respectively.
However, there were no significant differences in temperature sensitivity
values estimated by the three methods. In the entire growing season, the
CO2 efflux estimated by linear regression may be underestimated by up
to 25% compared to the real CO2 efflux. Consequently, great caution
should be taken when using published flux data obtained by linear regression
of static chamber observations to estimate the regional CO2 flux in
alpine meadows on the Qinghai-Tibetan Plateau. |
| |
| Keywords: | CO2 emission static chamber technique nonlinearity underestimation Qinghai-Tibetan Plateau |
| 本文献已被 万方数据 SpringerLink 等数据库收录！ |
| 点击此处可从《大气科学进展》浏览原始摘要信息 |
| 点击此处可从《大气科学进展》下载免费的PDF全文 |
|
