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首页> 外文期刊>Forests >Eddy Covariance vs. Biometric Based Estimates of Net Primary Productivity of Pedunculate Oak ( Quercus robur L.) Forest in Croatia during Ten Years
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Eddy Covariance vs. Biometric Based Estimates of Net Primary Productivity of Pedunculate Oak ( Quercus robur L.) Forest in Croatia during Ten Years

机译：十年来克罗地亚带齿橡木（Quercus robur L.）森林净初级生产力的涡度协方差与基于生物特征的估计

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We analysed 10 years (2008–2017) of continuous eddy covariance (EC) CO 2 flux measurements of net ecosystem exchange ( NEE ) in a young pedunculate oak forest in Croatia. Measured NEE was gap-filled and partitioned into gross primary productivity ( GPP ) and ecosystem reparation ( R ECO ) using the online tool by Max Planck Institute for Biogeochemistry in Jena, Germany. Annual NEE , GPP, and R ECO were correlated with main environmental drivers. Net primary productivity was estimated from EC ( NPP EC ), as a sum of ? NEE and R h obtained using a constant R h :R ECO ratio, and from independent periodic biometric measurements ( NPP BM ). For comparing the NPP at the seasonal level, we propose a simple model that aimed at accounting for late-summer and autumn carbon storage in the non-structural carbohydrate pool. Over the study period, Jastrebarsko forest acted as a carbon sink, with an average (±std. dev.) annual NEE of ?319 (±94) gC m ?2 year ?1 , GPP of 1594 (±109) gC m ?2 year ?1 , and R ECO of 1275 (±94) gC m ?2 year ?1 . Annual NEE showed high inter-annual variability and poor correlation with annual average global radiation, air temperature, and total precipitation, but significant ( R 2 = 0.501, p = 0.02) correlation with the change in soil water content between May and September. Comparison of annual NPP EC and NPP BM showed a good overall agreement ( R 2 = 0.463, p = 0.03), although in all years NPP BM was lower than NPP EC , with averages of 680 (±88) gC m ?2 year ?1 and 819 (±89) gC m ?2 year ?1 , respectively. Lower values of NPP BM indicate that fine roots and grasses contributions to NPP , which were not measured in the study period, could have an important contribution to the overall ecosystem NPP . At a seasonal level, two NPP estimates showed differences in their dynamic, but the application of the proposed model greatly improved the agreement in the second part of the growing season. Further research is needed on the respiration partitioning and mechanisms of carbon allocation.
机译：我们分析了克罗地亚年轻有花梗橡木森林中连续十年的涡流协方差（EC）CO 2通量净生态系统交换（NEE）的测量。使用德国耶拿市马克斯·普朗克生物地球化学研究所的在线工具，将测得的NEE填补了空白，并分为总初级生产力（GPP）和生态系统修复（R ECO）。年度NEE，GPP和R ECO与主要的环境驱动因素相关。净初级生产力由欧共体（NPP EC）估算，为？ NEE和R h使用恒定的R h：R ECO比值获得，并且来自独立的周期性生物特征测量（NPP BM）。为了比较季节性水平的NPP，我们提出了一个简单模型，该模型旨在说明非结构性碳水化合物库中的夏末和秋季碳储量。在研究期间，Jastrebarsko森林是一个碳汇，平均年NEE为（319）（±94）gC m？2年？1，GPP为1594（±109）gC m？ 2年？1，R ECO为1275（±94）gC·m 2年？1。年度NEE表现出较高的年际变化性，并且与年度平均全球辐射，气温和总降水量之间的相关性较弱，但与5月至9月之间土壤含水量的变化具有显着的相关性（R 2 = 0.501，p = 0.02）。年度NPP EC和NPP BM的比较显示出良好的总体一致性（R 2 = 0.463，p = 0.03），尽管在所有年份中NPP BM均低于NPP EC，平均值为680（±88）gC·m 2年？ 1和819（±89）gC m？2年？1。较低的NPP BM值表明，在研究期内未测量的细根和草对NPP的贡献可能对整个生态系统NPP产生重要贡献。在季节水平上，两个NPP估计值显示出它们的动态差异，但是所建议模型的应用极大地改善了生长期第二部分的一致性。需要进一步研究呼吸分配和碳分配机制。

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