Above-ground woody carbon sequestration measured from tree rings is coherent with net ecosystem productivity at five eddy-covariance sites

Above-ground woody carbon sequestration measured from tree rings is coherent with net ecosystem productivity at five eddy-covariance sites
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DOI:
10.1111/nph.12589
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发表时间:
2014-03-01
期刊:
影响因子:
9.4
通讯作者:
Frank, David
Frank, David
中科院分区:
生物学1区
文献类型:
--
作者:
Babst, Flurin;Bouriaud, Olivier;Frank, David

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在过去,将生物计量和涡旋协方差(EC)量化结合到森林中不同储存库的碳分配的尝试一直是不一致的,并且取得了不同程度的成功。我们基于树轮宽度和木材密度的测量,结合多个异速生长模型,评估了五个长期EC林站的地上生物量变化。生物测定结果与季节净生态系统生产力(NEP)基本一致,表明1-7月的碳汇主要用于蓄积量的增加,而8-9月的碳汇则结合了细胞壁的增厚和储存。地上木本植物碳吸收的年际变化与这些地点的木材产量显著相关,变化范围在110-370g Cm(-2)yr(-1)之间,从而占总初级生产力(GPP)的10-25%,陆地生态系统呼吸(TER)的15-32%,NEP的25-80%。观测到的用于支持不同木材形成过程的碳的季节分配使我们对欧洲主要气候带森林碳分配的动态和大小的认识更加精炼。因此,例如,它可能有助于改进植被模型的参数化,并提供一个增强的框架来将树木年轮参数与EC测量联系起来。
Attempts to combine biometric and eddy-covariance (EC) quantifications of carbon allocation to different storage pools in forests have been inconsistent and variably successful in the past.We assessed above-ground biomass changes at five long-term EC forest stations based on tree-ring width and wood density measurements, together with multiple allometric models. Measurements were validated with site-specific biomass estimates and compared with the sum of monthly CO2 fluxes between 1997 and 2009.Biometric measurements and seasonal net ecosystem productivity (NEP) proved largely compatible and suggested that carbon sequestered between January and July is mainly used for volume increase, whereas that taken up between August and September supports a combination of cell wall thickening and storage. The inter-annual variability in above-ground woody carbon uptake was significantly linked with wood production at the sites, ranging between 110 and 370 g C m(-2) yr(-1), thereby accounting for 10-25% of gross primary productivity (GPP), 15-32% of terrestrial ecosystem respiration (TER) and 25-80% of NEP.The observed seasonal partitioning of carbon used to support different wood formation processes refines our knowledge on the dynamics and magnitude of carbon allocation in forests across the major European climatic zones. It may thus contribute, for example, to improved vegetation model parameterization and provides an enhanced framework to link tree-ring parameters with EC measurements.