Evidence for widespread thermal acclimation of canopy photosynthesis

IF 15.8 1区 生物学 Q1 PLANT SCIENCES Nature Plants Pub Date : 2024-11-08 DOI:10.1038/s41477-024-01846-1
Jiangong Liu, Youngryel Ryu, Xiangzhong Luo, Benjamin Dechant, Benjamin D. Stocker, Trevor F. Keenan, Pierre Gentine, Xing Li, Bolun Li, Sandy P. Harrison, Iain Colin Prentice
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Abstract

Plants acclimate to temperature by adjusting their photosynthetic capacity over weeks to months. However, most evidence for photosynthetic acclimation derives from leaf-scale experiments. Here we address the scarcity of evidence for canopy-scale photosynthetic acclimation by examining the correlation between maximum photosynthetic rates (Amax,2,000) and growth temperature ( $$\overline{{T}_{\rm{air}}}$$ ) across a range of concurrent temperatures and canopy foliage quantity, using data from >200 eddy covariance sites. We detect widespread thermal acclimation of canopy-scale photosynthesis, demonstrated by enhanced Amax,2,000 under higher $$\overline{{T}_{\rm{air}}}$$ , across flux sites with adequate water availability. A 14-day period is identified as the most relevant timescale for acclimation across all sites, with a range of 12–25 days for different plant functional types. The mean apparent thermal acclimation rate across all ecosystems is 0.41 (−0.38–1.04 for 5th–95th percentile range) µmol m−2 s−1 °C−1, with croplands showing the largest acclimation rates and grasslands the lowest. Incorporating an optimality-based prediction of leaf photosynthetic capacities into a biochemical photosynthesis model is shown to improve the representation of thermal acclimation. Our results underscore the critical need for enhanced understanding and modelling of canopy-scale photosynthetic capacity to accurately predict plant responses to warmer growing seasons. Analysis of the FLUXNET2015 dataset provides observational evidence for widespread thermal acclimation of canopy-scale photosynthesis and its timescales across diverse biomes, improving its representation in land surface models.

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树冠光合作用普遍热适应的证据
植物通过在数周至数月内调整光合作用能力来适应温度。然而,光合适应的大多数证据都来自叶片尺度的实验。在这里,我们利用来自>200个涡度协方差站点的数据,研究了在一系列同期温度和冠层叶片数量下最大光合速率(Amax,2,000)与生长温度(\(overline{T}_{\rm{air}}}\)之间的相关性,从而解决冠层光合适应性证据稀缺的问题。我们发现,在水分充足的通量站点中,树冠尺度光合作用普遍存在热适应现象,表现为在高\(overline{{T}_{\rm{air}}\)条件下Amax,2,000增大。在所有通量地点,14 天的适应期被认为是最相关的时间尺度,不同植物功能类型的适应期范围为 12-25 天。所有生态系统的平均表观热适应率为 0.41(第 5-95 百分位数范围为-0.38-1.04) µmol m-2 s-1 °C-1,其中耕地的适应率最高,草地最低。将基于优化的叶片光合能力预测纳入生化光合作用模型可改善热适应性的表现。我们的研究结果表明,要准确预测植物对较暖生长季节的反应,亟需加强对冠层光合能力的了解和建模。
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来源期刊
Nature Plants
Nature Plants PLANT SCIENCES-
CiteScore
25.30
自引率
2.20%
发文量
196
期刊介绍: Nature Plants is an online-only, monthly journal publishing the best research on plants — from their evolution, development, metabolism and environmental interactions to their societal significance.
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