首页|期刊导航|干旱区地理|基于二元模型和贝叶斯混合模型的青海湖表层沉积物有机碳来源解析

基于二元模型和贝叶斯混合模型的青海湖表层沉积物有机碳来源解析OA

Sources of organic carbon in surface sediments of Lake Qinghai based on Binary model and Bayesian mixing model

中文摘要英文摘要

湖泊沉积物有机碳来源是揭示湖泊碳循环与流域环境演变规律的核心内容之一.目前,关于青海湖沉积物有机碳来源的量化研究仍较为缺乏,且不同溯源指标常得出不一致的结论.基于已发表文献的青海湖表层沉积物有机质碳氮比(C/N)和有机碳同位素值(δ13Corg)数据,应用二元模型和贝叶斯混合(MixSIAR)模型,对陆源与内源有机碳的贡献比例进行定量解析.结果表明:(1)青海湖表层沉积物有机碳以陆源输入为主,MixSIAR模型计算的陆源平均贡献率为70.2%;内源部分以刚毛藻属为主要来源(贡献率平均26.0%),沉水植物贡献较低(平均3.8%).(2)沉积物有机碳来源的组成具有明显的空间异质性,陆源贡献比例与水深呈负相关.(3)基于δ13Corg的MixSIAR模型在量化有机碳来源方面的可靠性更高,而基于C/N的二元模型易受端元取值不确定性及早期成岩作用影响.研究揭示了青海湖表层沉积物有机碳的来源组成与空间分布规律,可为高寒咸水湖泊的有机碳埋藏机制提供参考.

Determining the sources of organic carbon in lake sediments is key to unraveling carbon cycling in lakes and the evolution of watershed environments.Currently,quantitative studies on sources of organic carbon in sediments from Lake Qinghai remain relatively limited,and disparate source-tracing proxies often yield incon-sistent conclusions.Drawing on the published carbon-nitrogen ratio(C/N)of organic matter and organic carbon isotope(δ13Corg)data for surface sediments from Lake Qinghai,this study employed the Binary model and Bayes-ian mixing model to quantitatively resolve the contribution of terrestrial-derived and autochthonous organic car-bon to the surface sediments,demonstrating that(1)Organic carbon in the surface sediments of Lake Qinghai is predominantly derived from terrestrial inputs,with an average contribution rate of 70.2%,as estimated using the MixSIAR model;the autochthonous part is mainly from the genus Cladophora(with an average contribution rate of 26.0%),and the contribution of submerged plants is relatively low(with a mean value of 3.8%).(2)The com-position of organic carbon sources in the sediments displays distinct spatial heterogeneity,where the terrestrial contribution is negatively correlated with the water depth.(3)Comparison of the models indicates that the δ13Corg-based MixSIAR model exhibits higher reliability in quantifying sources of organic carbon,whereas the C/N-based Binary model is prone to uncertainties in selecting the end-member value and early diagenesis.This study revealed the source,composition,and spatial distribution patterns of organic carbon in the surface sediments of Lake Qinghai,providing a reference for evaluating the organic carbon burial mechanism in alpine saltwater lakes.

陈婉婷;马育军;姜传礼;韩陈晓语

中山大学地理科学与规划学院,广东 广州 510006中山大学地理科学与规划学院,广东 广州 510006中山大学地理科学与规划学院,广东 广州 510006中山大学地理科学与规划学院,广东 广州 510006

有机碳来源二元模型贝叶斯混合模型表层沉积物青海湖

source of organic carbonbinary modelBayesian mixing modelsurface sedimentsLake Qinghai

《干旱区地理》 2026 (9)

1803-1814,12

国家自然科学基金项目(42330205)资助

10.12118/j.issn.1000-6060.2025.697

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