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Plant root distributions and nitrogen uptake predicted by a hypothesis of optimal root foraging

机译:最佳根觅食假说预测的植物根系分布和氮素吸收

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摘要

CO2-enrichment experiments consistently show that rooting depth increases when trees are grown at elevated CO2 (eCO2), leading in some experiments to increased capture of available soil nitrogen (N) from deeper soil. However, the link between N uptake and root distributions remains poorly represented in forest ecosystem and global land-surface models. Here, this link is modeled and analyzed using a new optimization hypothesis (MaxNup) for root foraging in relation to the spatial variability of soil N, according to which a given total root mass is distributed vertically in order to maximize annual N uptake. MaxNup leads to analytical predictions for the optimal vertical profile of root biomass, maximum rooting depth, and N-uptake fraction (i.e., the proportion of plant-available soil N taken up annually by roots). We use these predictions to gain new insight into the behavior of the N-uptake fraction in trees growing at the Oak Ridge National Laboratory free-air CO2-enrichment experiment. We also compare MaxNup with empirical equations previously fitted to root-distribution data from all the world's plant biomes, and find that the empirical equations underestimate the capacity of root systems to take up N.
机译:富含CO2的实验始终表明,当树木在较高的CO2(eCO2)下生长时,生根深度会增加,从而导致一些实验增加了从较深土壤中捕获有效土壤氮(N)的能力。但是,在森林生态系统和全球陆地表面模型中,氮素吸收与根系分布之间的联系仍然很少得到体现。在此,使用针对土壤氮素空间变异性的根觅食的新优化假设(MaxNup)对链接进行建模和分析,根据该假设,垂直分配给定的总根质量,以使年度氮素吸收量最大化。 MaxNup导致对根生物量的最佳垂直剖面,最大生根深度和氮吸收率(即,根每年吸收的植物可用土壤氮的比例)的分析预测。我们使用这些预测来获得对在橡树岭国家实验室进行的空气中二氧化碳富集实验中生长的树木中氮吸收分数的行为的新见解。我们还将MaxNup与先前适用于世界所有植物群落的根系分布数据的经验公式进行比较,发现经验公式低估了根系吸收N的能力。

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