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陆地生物圈模型低估了北极地区的光合能力和 CO2 同化作用。

Terrestrial biosphere models underestimate photosynthetic capacity and CO assimilation in the Arctic.

机构信息

Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY, 11973-5000, USA.

Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6301, USA.

出版信息

New Phytol. 2017 Dec;216(4):1090-1103. doi: 10.1111/nph.14740. Epub 2017 Sep 6.

Abstract

Terrestrial biosphere models (TBMs) are highly sensitive to model representation of photosynthesis, in particular the parameters maximum carboxylation rate and maximum electron transport rate at 25°C (V and J , respectively). Many TBMs do not include representation of Arctic plants, and those that do rely on understanding and parameterization from temperate species. We measured photosynthetic CO response curves and leaf nitrogen (N) content in species representing the dominant vascular plant functional types found on the coastal tundra near Barrow, Alaska. The activation energies associated with the temperature response functions of V and J were 17% lower than commonly used values. When scaled to 25°C, V and J were two- to five-fold higher than the values used to parameterize current TBMs. This high photosynthetic capacity was attributable to a high leaf N content and the high fraction of N invested in Rubisco. Leaf-level modeling demonstrated that current parameterization of TBMs resulted in a two-fold underestimation of the capacity for leaf-level CO assimilation in Arctic vegetation. This study highlights the poor representation of Arctic photosynthesis in TBMs, and provides the critical data necessary to improve our ability to project the response of the Arctic to global environmental change.

摘要

陆地生物圈模型(TBMs)对光合作用的模型表示非常敏感,特别是在 25°C 时的最大羧化速率和最大电子传递速率参数(V 和 J)。许多 TBM 不包括对北极植物的表示,而那些依赖于对温带物种的理解和参数化。我们测量了在阿拉斯加巴罗附近沿海冻原上发现的主要维管植物功能类型的物种的光合作用 CO 响应曲线和叶片氮(N)含量。V 和 J 的温度响应函数相关的激活能比常用值低 17%。当缩放到 25°C 时,V 和 J 是当前 TBM 参数化中使用的值的两到五倍。这种高光合作用能力归因于高叶片 N 含量和高 Rubisco 投入的 N 分数。叶片水平建模表明,当前 TBM 参数化导致对北极植被叶片水平 CO 同化能力的低估了两倍。本研究强调了 TBMs 中北极光合作用的表示不佳,并提供了必要的关键数据,以提高我们预测北极对全球环境变化的响应的能力。

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