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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Aboveground sink strength in forests controls the allocation of carbon below ground and its [CO2] - induced enhancement
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Aboveground sink strength in forests controls the allocation of carbon below ground and its [CO2] - induced enhancement

机译：森林中的地上沉强度控制着地下碳的分配及其[CO2]诱导的增强作用

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摘要

The partitioning among carbon (C) pools of the extra C captured under elevated atmospheric CO2 concentration [CO2] determines the enhancement in C sequestration, yet no clear partitioning rules exist. Here, we used first principles and published data from four free-air CO2 enrichment (FACE) experiments on forest tree species to conceptualize the total allocation of C to below ground (TBCA) under current [CO2] and to predict the likely effect of elevated [CO2]. We show that at a FACE site where leaf area index (L) of Pinus taeda L. was altered through nitrogen fertilization, ice-storm damage, and droughts, changes in L, reflecting the aboveground sink for net primary productivity, were accompanied by opposite changes in TBCA. A similar pattern emerged when data were combined from the four FACE experiments, using leaf area duration (L-D) to account for differences in growing-season length. Moreover, elevated [CO2]-induced enhancement of TBCA in the combined data decreased from approximate to 50% (700 gCm(-2) y(-1)) at the lowest LD to approximate to 30% (200 g C m(-2) y(-1)) at the highest L-D. The consistency of the trend in TIBCA with L and its response to [CO2] across the sites provides a norm for predictions of ecosystem C cycling, and is particularly useful for models that use L to estimate components of the terrestrial C balance.
机译：在升高的大气CO2浓度[CO2]下捕获的多余C的碳（C）库之间的分配决定了C螯合的增强，但尚无明确的分配规则。在这里，我们使用第一原理并发布了来自四个森林树木物种的自由空气CO2浓缩（FACE）实验的数据，以概念化将当前[CO2]下C对地下的总分配量（TBCA）进行概念化，并预测升高的可能性[CO2]。我们显示在一个FACE站点上，通过氮肥，冰暴破坏和干旱改变了针叶松的叶面积指数（L），L的变化反映了净初级生产力的地上汇，并伴有相反的变化。 TBCA的变化。当使用四个叶面积持续时间（L-D）来解释生长季节长度的差异时，将四个FACE实验的数据合并在一起时，出现了类似的模式。此外，在最低的LD处，由[CO2]引起的TBCA升高的增强数据在合并数据中从大约50％（700 gCm（-2）y（-1））降低到大约30％（200 g Cm（-） 2）在最高LD处的y（-1））。 TIBCA趋势与L的一致性及其在站点之间对[CO2]的响应为预测生态系统C循环提供了一个规范，对于使用L估计陆地C平衡成分的模型尤其有用。

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