CO2 Flux Estimation by Different Regression Methods from an Alpine Meadow on the Qinghai-Tibetan Plateau
  • 【摘要】

    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 maxim... 展开>>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. 收起<<

  • 【作者】

    姜春明  于贵瑞  曹广民  李英年  张世春  方华军 

  • 【作者单位】

    Key Laboratory of Ecosystem/Key Laboratory of Ecosystem/Northwest Plateau Institute of Biology

  • 【刊期】

    大气科学进展(英文版) ISTIC SCI 2010年6期

  • 【关键词】

    CO2通量  青藏高原  回归方法  高山草甸  温度敏感性  估算  高寒草甸  二氧化碳  CO2 emission  static chamber technique  nonlinearity  underestimation  Qinghai-Tibetan Plateau