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太白山植物水和土壤水δD和δ18O数据集(2020年)

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国家地球系统科学数据中心2024-12-13 更新2024-12-14 收录
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通过沿海拔梯度分季节对秦岭主峰太白山进行取样调查研究,发现植物叶片水氢和氧同位素比值对源水同位素和气候因子之间存在差异性响应。(1)从生态水文角度,叶片水氢同位素比值主要记录不同海拔梯度的源水(例如,茎秆水、土壤水和降雨)同位素信号,而叶片水氢和氧同位素比值和不同海拔梯度的气候因子(例如,温度、降雨和RH)之间存在相似的相关性。另外,结合Craig-Gordon模型对叶片水氢和氧同位素比值进行预测评估,通过HYSPLIT模型对不同季节降雨同位素进行模拟,模型和观测数据的结合,有助于对叶片水氢和氧同位素机制的理解。(2)从古环境生物指标角度,植物衍生的有机生物指标(例如,叶蜡、脂肪酸、纤维素等)的氢同位素指示源水同位素信息更加可靠,而指标的氢和氧同位素耦合指示气候信息是可信的。

A systematic sampling and field investigation was conducted seasonally along the elevation gradient on Taibai Mountain, the main peak of the Qinling Mountains, revealing differential responses of hydrogen and oxygen isotope ratios in plant leaf water to source water isotopes and climatic factors. (1) From an ecohydrological perspective, the hydrogen isotope ratio of leaf water primarily records the isotopic signals of source waters (e.g., stem water, soil water, and rainfall) across different elevation gradients, whereas both hydrogen and oxygen isotope ratios of leaf water exhibit similar correlations with climatic factors (e.g., temperature, rainfall, and RH) along the elevation gradient. Additionally, combining the Craig-Gordon model for predictive assessment of leaf water hydrogen and oxygen isotope ratios, and using the HYSPLIT model to simulate rainfall isotopes across different seasons, the integration of model simulations and observational data facilitates the understanding of the mechanisms underlying the hydrogen and oxygen isotope dynamics in plant leaf water. (2) From the perspective of paleoenvironmental biological proxies, the hydrogen isotopes of plant-derived organic proxies (e.g., leaf waxes, fatty acids, cellulose, etc.) more reliably indicate source water isotopic information, while the coupled hydrogen and oxygen isotope signals of these proxies provide credible climatic information.
提供机构:
陕西省西安市雁塔区雁翔路97号
创建时间:
2024-12-13
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集包含2020年太白山地区植物水和土壤水的氢和氧同位素(δD和δ18O)数据,用于研究植物叶片水同位素对源水和气候因子的响应机制。数据质量高,测量精度分别为±0.2‰(δ18O)和±1‰(δD),适用于生态水文和古环境生物指标研究。
以上内容由遇见数据集搜集并总结生成
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