Time shift between net and gross CO2 uptake and growth derived from tree rings in pine and spruce

Time shift between net and gross CO2 uptake and growth derived from tree rings in pine and spruce
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松树和云杉的年轮产生的净二氧化碳吸收量和总二氧化碳吸收量与生长之间的时间变化

DOI:
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发表时间:
2019
期刊:
Trees
影响因子:
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通讯作者:
A. Lindroth
A. Lindroth
中科院分区:
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文献类型:
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作者:
F. Lagergren;A. Jönsson;Hans Linderson;A. Lindroth

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关键信息碳吸收的6-9个月的时间向后移动给出了最高的相关性之间的年生物量增量和碳吸收在这个古老的甚至aged forest.AbstractPlants的碳吸收和分配到不同的生物量compartment是一个重要的过程,木材生产和气候缓解。测量生态系统与大气之间的净生态系统二氧化碳交换,可以深入了解光合作用、呼吸作用和碳随时间积累的过程,而木本生物量的增加可以通过基于茎直径测量的异速生长函数来评估。分配给径向茎生长的碳的比例随时间而变化,并且可以预期碳吸收和生长之间的滞后。非结构性碳水化合物和自养和异养呼吸的动态是理解这种滞后效应的关键机制。在这项研究中,9年的碳通量记录和树木年轮数据从诺伦达,瑞典被用来调查之间的关系净和总的碳吸收和碳分配给增长。将通量数据汇总为每月总和。当完整的12个月期间的累积碳交换连续向后移动的时间,最高的相关性被发现与6-9个月的转变,表明前一个生长季节的很大一部分是重要的解释下一年的生物量增量。
Key messageA 6–9 month backward time shift of the carbon uptake gave the highest correlation between annual biomass increment and carbon uptake in this old even aged forest.AbstractPlants’ carbon uptake and allocation to different biomass compartments is an important process for both wood production and climate mitigation. Measurements of the net ecosystem carbon dioxide exchange between ecosystems and the atmosphere provide insights into the processes of photosynthesis, respiration and accumulation of carbon over time, and the increase in woody biomass can be assessed by allometric functions based on stem diameter measurements. The fraction of carbon allocated to radial stem growth varies over time, and a lag between carbon uptake and growth can be expected. The dynamics of non-structural carbohydrates and autotrophic and heterotrophic respiration are key mechanisms for understanding this lag effect. In this study, a 9-year record of carbon flux and tree-ring data from Norunda, Sweden was used to investigate the relationship between net and gross carbon uptake and carbon allocated to growth. The flux data were aggregated to monthly sums. When full 12-month periods of accumulated carbon exchange were successively shifted backwards in time, the highest correlation was found with a 6–9 month shift, showing that a large part of the previous growing season was important for explaining the biomass increment of the following year.