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首页> 外文期刊>Global change biology >A method for deriving net primary productivity and component respiratory fluxes from tower-based eddy covariance data: a case study using a 17-year data record from a Douglas-fir chronosequence
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A method for deriving net primary productivity and component respiratory fluxes from tower-based eddy covariance data: a case study using a 17-year data record from a Douglas-fir chronosequence

机译:从基于塔的涡流协方差数据推导净初级生产力和组分呼吸通量的方法:使用道格拉斯冷杉时间序列的17年数据记录的案例研究

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摘要

Conventional gap-filling procedures for eddy covariance (EC) data are limited to calculating ecosystem respiration (R-E) and gross ecosystem productivity (P-G) as well as missing values of net ecosystem productivity (F-NEP). We develop additional postprocessing steps that estimate net primary productivity (P-N), autotrophic (R-a), and heterotrophic respiration (R-h). This is based on conservation of mass of carbon (C), Monte Carlo (MC) simulation, and three ratios: C use efficiency (CUE, P-N to P-G), R-a to R-E, and F-NEP to R-E. This procedure, along with the estimation of F-NEP, R-E, and P-G, was applied to a Douglas-fir dominated chronosequence on Vancouver Island, British Columbia, Canada. The EC data set consists of 17 site years from three sites: initiation (HDF00), pole/sapling (HDF88), and near mature (DF49), with stand ages from 1 to 56 years. Analysis focuses on annual C flux totals and C balance ratios as a function of stand age, assuming a rotation age of 56 years. All six C balance terms generally increased with stand age. Average annual P-N by stand was 213, 750, and 1261 g C m(-2) yr(-1) for HDF00, HDF88, and DF49, respectively. The canopy compensation point, the year when the chronosequence switched from a source to a sink of C, occurred at stand age ca. 20 years. HDF00 and HDF88 were strong and moderate sources (F-NEP=-581 and -138 g C m(-2) yr(-1)), respectively, while DF49 was a moderate sink (F-NEP=294 g C m(-2) yr(-1)) for C. Differences between sites were greater than interannual variation (IAV) within sites and highlighted the importance of age-related effects in C cycling. The validity of the approach is discussed using a sensitivity analysis, a comparison with growth and yield estimates from the same chronosequence, and an intercomparison with other chronosequences.
机译:传统的填补涡度协方差(EC)数据的程序仅限于计算生态系统呼吸(R-E)和生态系统总生产率(P-G)以及净生态系统生产率(F-NEP)的缺失值。我们开发了其他后处理步骤,以估算净初级生产力(P-N),自养(R-a)和异养呼吸(R-h)。这是基于碳质量守恒(C),蒙特卡洛(MC)模拟和三个比率:碳使用效率(CUE,P-N对P-G),R-a对R-E和F-NEP对R-E。该程序连同F-NEP,R-E和P-G的估计一起应用于加拿大不列颠哥伦比亚省温哥华岛的道格拉斯冷杉为主的年代序列。 EC数据集由以下三个站点组成的17个站点年组成:起始(HDF00),极/树苗(HDF88)和接近成熟(DF49),林分年龄为1至56年。假设轮换年龄为56岁,分析重点是年度碳通量总量和碳平衡比与林分年龄的关系。通常,所有六个C平衡项都随着机架寿命而增加。分别由HDF00,HDF88和DF49测得的年平均P-N分别为213、750和1261 g C m(-2)yr(-1)。冠层补偿点是时间序列从C的源转换为C的源的年份,发生在林分年龄ca。 20年。 HDF00和HDF88分别是强和中等来源(F-NEP = -581和-138 g C m(-2)yr(-1)),而DF49是中等来源(F-NEP = 294 g C m( C. -2)yr(-1))。站点之间的差异大于站点内的年际变化(IAV),并突出了与年龄相关的影响在C循环中的重要性。通过敏感性分析,与来自同一时间序列的生长和产量估计值的比较以及与其他时间序列的比较,讨论了该方法的有效性。

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