CO2 Flux Estimation by Different Regression Methods from an Alpine Meadow on the Qinghai-Tibetan Plateau |
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| Authors: | JIANG Chunming YU Guirui CAO Guangmin LI Yingnian ZHANG Shichun FANG Huajun |
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| Affiliation: | Key Laboratory of Ecosystem,Network Observation and Modeling,Chinese Academy of Sciences,h~stitute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101。Graduate University of the Chinese Academy of Scien;Key Laboratory of Ecosystem,Network Observation and Modeling,Chinese Academy of Sciences,h~stitute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101。Graduate University of the Chinese Academy of Scien |
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| Abstract: | CO2 efflux was estimated using different regression methods in staticchamber observation from an alpine meadow on the Qinghai-Tibetan Plateau.The CO2 efflux showed a seasonal pattern, with the maximun fluxoccurring in the middle of July. The temperature sensitivity of CO2efflux (Q10> was 3.9, which was at the high end of the range ofglobal values. CO2 emissions calculated by linear and nonlinearregression were significantly different (p<0.05). Compared with the linearregression, CO2 emissions calculated by exponential regression andquadratic regression were 12.7% and 11.2% larger, respectively.However, there were no significant differences in temperature sensitivityvalues estimated by the three methods. In the entire growing season, theCO2 efflux estimated by linear regression may be underestimated by upto 25% compared to the real CO2 efflux. Consequently, great cautionshould be taken when using published flux data obtained by linear regressionof static chamber observations to estimate the regional CO2 flux inalpine meadows on the Qinghai-Tibetan Plateau. |
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| Keywords: | CO2 emission static chamber technique nonlinearity underestimation Qinghai-Tibetan Plateau |
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