Suppr超能文献

夏栎光合作用和叶片特性的季节性变化趋势。

Seasonal trends in photosynthesis and leaf traits in scarlet oak.

机构信息

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

Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK.

出版信息

Tree Physiol. 2021 Aug 11;41(8):1413-1424. doi: 10.1093/treephys/tpab015.

Abstract

Understanding seasonal variation in photosynthesis is important for understanding and modeling plant productivity. Here, we used shotgun sampling to examine physiological, structural and spectral leaf traits of upper canopy, sun-exposed leaves in Quercus coccinea Münchh (scarlet oak) across the growing season in order to understand seasonal trends, explore the mechanisms underpinning physiological change and investigate the impact of extrapolating measurements from a single date to the whole season. We tested the hypothesis that photosynthetic rates and capacities would peak at the summer solstice, i.e., at the time of peak photoperiod. Contrary to expectations, our results reveal a late-season peak in both photosynthetic capacity and rate before the expected sharp decrease at the start of senescence. This late-season maximum occurred after the higher summer temperatures and vapor pressure deficit and was correlated with the recovery of leaf water content and increased stomatal conductance. We modeled photosynthesis at the top of the canopy and found that the simulated results closely tracked the maximum carboxylation capacity of Rubisco. For both photosynthetic capacity and modeled top-of-canopy photosynthesis, the maximum value was therefore not observed at the summer solstice. Rather, in each case, the measurements at and around the solstice were close to the overall seasonal mean, with values later in the season leading to deviations from the mean by up to 41 and 52%, respectively. Overall, we found that the expected Gaussian pattern of photosynthesis was not observed. We conclude that an understanding of species- and environment-specific changes in photosynthesis across the season is essential for correct estimation of seasonal photosynthetic capacity.

摘要

了解光合作用的季节性变化对于理解和模拟植物生产力非常重要。在这里,我们使用鸟枪法采样,研究了整个生长季节中 Quercus coccinea Münchh(猩红栎)上层树冠、暴露在阳光下的叶片的生理、结构和光谱叶片特性,以了解季节性趋势,探索支撑生理变化的机制,并研究从单一日期推断整个季节的测量值的影响。我们检验了光合作用速率和容量将在夏至达到峰值的假设,即光周期的峰值时间。与预期相反,我们的结果显示,在衰老开始时预期的急剧下降之前,光合作用容量和速率都出现了晚季峰值。这个晚季最大值出现在较高的夏季温度和蒸气压亏缺之后,与叶片含水量的恢复和气孔导度的增加有关。我们对树冠顶部的光合作用进行了建模,发现模拟结果与 Rubisco 的最大羧化能力密切相关。对于光合作用容量和模拟的树冠顶部光合作用,最大值都没有出现在夏至。相反,在每种情况下,夏至时和夏至附近的测量值接近整个季节的平均值,而季节后期的值导致与平均值的偏差分别高达 41%和 52%。总的来说,我们发现没有观察到预期的光合作用高斯模式。我们得出的结论是,了解整个季节中物种和环境特异性的光合作用变化对于正确估计季节性光合作用容量至关重要。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验