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Estimates of CO2 uptake and release among European forests based on eddy covariance data

机译:根据涡度协方差数据估算欧洲森林中的二氧化碳吸收和释放

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The net ecosystem exchange (NEE) of forests represents the balance of gross primary productivity (GPP) and respiration (R). Methods to estimate these two components from eddy covariance flux measurements are usually based on a functional relationship between respiration and temperature that is calibrated for night-time (respiration) fluxes and subsequently extrapolated using daytime temperature measurements. However, respiration fluxes originate from different parts of the ecosystem, each of which experiences its own course of temperature. Moreover, if the temperature-respiration function is fitted to combined data from different stages of biological development or seasons, a spurious temperature effect may be included that will lead to overestimation of the direct effect of temperature and therefore to overestimates of daytime respiration. We used the EUROFLUX eddy covariance data set for 15 European forests and pooled data per site, month and for conditions of low and sufficient soil moisture, respectively. We found that using air temperature (measured above the canopy) rather than soil temperature (measured 5 cm below the surface) yielded the most reliable and consistent exponential (Q(10)) temperature-respiration relationship. A fundamental difference in air temperature-based Q(10) values for different sites, times of year or soil moisture conditions could not be established; all were in the range 1.6-2.5. However, base respiration (R-0, i.e. respiration rate scaled to 0degreesC) did vary significantly among sites and over the course of the year, with increased base respiration rates during the growing season. We used the overall mean Q(10) of 2.0 to estimate annual GPP and R. Testing suggested that the uncertainty in total GPP and R associated with the method of separation was generally well within 15%. For the sites investigated, we found a positive relationship between GPP and R, indicating that there is a latitudinal trend in NEE because the absolute decrease in GPP towards the pole is greater than in R.
机译:森林的净生态系统交换(NEE)表示总初级生产力(GPP)和呼吸作用(R)的平衡。从涡度协方差通量测量中估算这两个分量的方法通常基于呼吸和温度之间的函数关系,该函数关系已针对夜间(呼吸)通量进行了校准,然后使用白天的温度测量值进行了推断。但是,呼吸通量来自生态系统的不同部分,每个部分都经历自己的温度变化过程。此外,如果将温度呼吸功能拟合到来自生物发育或季节不同阶段的组合数据,则可能会包含虚假温度效应,这将导致对温度直接效应的高估,从而导致对白天呼吸的高估。我们使用了EUROFLUX涡度协方差数据集,该数据集用于15个欧洲森林,并且每个站点,每个月以及在土壤湿度较低和充足的条件下汇总使用的数据。我们发现使用空气温度(在冠层以上测量)而不是土壤温度(在表面以下5 cm处测量)产生最可靠和一致的指数(Q(10))温度-呼吸关系。无法确定基于空气温度的Q(10)值在不同地点,一年中的时间或土壤湿度条件方面的根本差异;都在1.6-2.5范围内。但是,基础呼吸(R-0,即呼吸速率定为0摄氏度)在各个站点之间以及一年中的确发生了显着变化,在生长季节中基础呼吸速率增加。我们使用2.0的总体平均Q(10)估算年度GPP和R。测试表明,与分离方法相关的总GPP和R的不确定性通常在15%以内。对于所调查的站点,我们发现GPP与R之间存在正相关关系,这表明NEE中存在纬度趋势,因为GPP朝极点的绝对减小大于R中的绝对减小。

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