Acclimation of photosynthetic capacity in Scots pine to the annual cycle of temperature.

Acclimation of photosynthetic capacity in Scots pine to the annual cycle of temperature.
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DOI:
10.1093/treephys/24.4.369
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发表时间:
2004-04
期刊:
影响因子:
4
通讯作者:
A. Mäkelä;P. Hari;F. Berninger;H. Hänninen;E. Nikinmaa
A. Mäkelä;P. Hari;F. Berninger;H. Hänninen;E. Nikinmaa
中科院分区:
农林科学2区
文献类型:
--
作者:
A. Mäkelä;P. Hari;F. Berninger;H. Hänninen;E. Nikinmaa

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生长在寒带和温带的针叶树有一个明确的光合活动的年周期。最近的研究表明,樟子松光合能力的季节变化,主要归因于光合作用的光响应曲线。光响应曲线的大小随季节而变化,而其形状保持不变,这表明量化曲线的两个生理参数每单位内部二氧化碳浓度的量子产率和相应的光饱和率保持成比例。我们现在通过建模研究表明,量子产率(因此光饱和率)与温度的年周期通过延迟的动态响应有关。该模型进行了测试,通过比较模型结果与密集的光合作用和驱动变量的测量,从4月至10月在苏格兰松生长的北方林带线附近的三个芽。光合能力表现出相当大的驯化在生长季节。一个单一的模型描述光合能力作为一个可逆的,一阶延迟过程驱动的温度解释了光合能力在一年中的变化。该模型是简单的,但不低于以前的光合能力的年周期模型的准确性。
Coniferous trees growing in the boreal and temperate zones have a clear annual cycle of photosynthetic activity. A recent study demonstrated that the seasonal variation in photosynthetic capacity of Scots pine (Pinus sylvestris L.) could be attributed mainly to the light response curve of photosynthesis. The magnitude of the light response curve varied over the season while its shape remained constant, indicating that the two physiological parameters quantifying the curve-the quantum yield per unit internal carbon dioxide concentration and the corresponding light-saturated rate-remained proportional to each other. We now show, through modeling studies, that the quantum yield (and hence the light-saturated rate) is related to the annual cycle of temperature through a delayed dynamic response. The proposed model was tested by comparing model results with intensive measurements of photosynthesis and driving variables made from April to October in three shoots of Scots pine growing near the northern timberline. Photosynthetic capacity showed considerable acclimation during the growing season. A single model describing photosynthetic capacity as a reversible, first-order delay process driven by temperature explained most of the variation in photosynthetic capacity during the year. The proposed model is simpler but no less accurate than previous models of the annual cycle of photosynthetic capacity.