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年轮内 δ18O 和 δ13C 的年内变化揭示了湿润环境中同位素源和湿度之间的权衡关系。

Intra-annual tree-ring δ18O and δ13C reveal a trade-off between isotopic source and humidity in moist environments.

机构信息

National Field Science Observation and Research Station of Yulong Mountain Cryosphere and Sustainable Development, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.

Laboratory of Tree-Ring Research, University of Arizona, Tucson 85721, USA.

出版信息

Tree Physiol. 2022 Nov 8;42(11):2203-2223. doi: 10.1093/treephys/tpac076.

Abstract

Tree-ring intra-annual stable isotopes (δ13C and δ18O) are powerful tools for revealing plant ecophysiological responses to climatic extremes. We analyzed interannual and fine-scale intra-annual variability of tree-ring δ13C and δ18O in Chinese red pine (Pinus massoniana) from southeastern China to explore environmental drivers and potential trade-offs between the main physiological controls. We show that wet season relative humidity (May-October RH) drove interannual variability of δ18O and intra-annual variability of tree-ring δ18O. It also drove intra-annual variability of tree-ring δ13C, whereas interannual variability was mainly controlled by February-May temperature and September-October RH. Furthermore, intra-annual tree-ring δ18O variability was larger during wet years compared with dry years, whereas δ13C variability was lower during wet years compared with dry years. As a result of these differences in intra-annual variability amplitude, process-based models (we used the Roden model for δ18O and the Farquhar model for δ13C) captured the intra-annual δ18O pattern better in wet years compared with dry years, whereas intra-annual δ13C pattern was better simulated in dry years compared with wet years. This result suggests a potential asymmetric bias in process-based models in capturing the interplay of the different mechanistic processes (i.e., isotopic source and leaf-level enrichment) operating in dry versus wet years. We therefore propose an intra-annual conceptual model considering a dynamic trade-off between the isotopic source and leaf-level enrichment in different tree-ring parts to understand how climate and ecophysiological processes drive intra-annual tree-ring stable isotopic variability under humid climate conditions.

摘要

树木年轮内的年际稳定同位素(δ13C 和 δ18O)是揭示植物生态生理对气候极端变化响应的有力工具。我们分析了来自中国东南部马尾松的年轮δ13C 和 δ18O 的年际和细时间尺度的年内变化,以探讨环境驱动因素和主要生理控制之间的潜在权衡。结果表明,湿季相对湿度(5 月至 10 月 RH)驱动了 δ18O 的年际变化和年轮 δ18O 的年内变化。它还驱动了年轮 δ13C 的年内变化,而年际变化主要受 2 月至 5 月温度和 9 月至 10 月 RH 控制。此外,与干旱年份相比,湿润年份年轮 δ18O 的年内变化幅度较大,而 δ13C 的年内变化幅度较小。由于年内变化幅度的差异,基于过程的模型(我们使用 Roden 模型模拟 δ18O,使用 Farquhar 模型模拟 δ13C)在湿润年份比在干旱年份更好地捕捉到年轮 δ18O 的年内变化模式,而在干旱年份比在湿润年份更好地模拟了年轮 δ13C 的年内变化模式。这一结果表明,基于过程的模型在捕捉不同机制过程(即同位素源和叶片级富集)在干旱和湿润年份的相互作用方面存在潜在的不对称偏差。因此,我们提出了一个基于年内的概念模型,考虑了不同年轮部分同位素源和叶片级富集之间的动态权衡,以了解在湿润气候条件下,气候和生态生理过程如何驱动年轮稳定同位素的年内变化。

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