Effect of Late Cretaceous marine incursions on lacustrine organic carbon burial in East Asia: Perspectives from machine learning and geochemistry

IF 2.7 2区 地球科学 Q2 GEOGRAPHY, PHYSICAL
Baiqiang Tang , Qingtao Meng , Fei Hu , Nan Jiang , Liang Yang , Jilin Xing , Zhaojun Liu , Yunbai Zhang
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Abstract

The relationship between lacustrine organic carbon burial and marine incursion has been investigated extensively, yet the mechanisms by which marine incursions control organic carbon burial remain unclear. The Songliao Basin, one of the largest continental basins in East Asia during the Cretaceous, provides an ideal natural laboratory to address this issue. This study focuses on the first member of the Qingshankou Formation (K2qn1) of the Late Cretaceous in the Songliao Basin, northeast China. Trace-element ratios, molecular biomarkers, and strontium isotopes demonstrate episodic marine incursions and indicate that the Southeastern Uplift was more strongly influenced by marine incursion than the Central Depression. As marine incursions intensified, the contribution of algae increased, primary productivity rose, anoxic conditions intensified, and salinity in the water column increased. Collectively, these processes markedly enhanced organic carbon burial. Spatial distributions of Sr/Ba, pristane/phytane (Pr/Ph), and total organic carbon (TOC) corroborate these lacustrine responses to marine incursions. A model was developed using XGBoost to quantify organic carbon burial using sedimentary environment indicators as input, specifically paleoclimate (Sr/Cu), paleosalinity (Sr/Ba), paleoredox (Corg/P), and paleoproductivity (Cu/Al); TOC served as the target variable. Results demonstrated that the XGBoost model captured the nonlinear relationship between depositional environments and organic carbon burial associated with marine incursion. Shapley Additive exPlanations (SHAP) identified paleoproductivity as the principal control on burial, followed by redox conditions. This study demonstrates the utility of machine learning in elemental geochemistry and provides a quantitative characterization of how marine–terrestrial interactions influence organic carbon burial in lacustrine depositional environments.
晚白垩世海相入侵对东亚湖泊有机碳埋藏的影响:机器学习和地球化学视角
湖泊有机碳埋藏与海洋入侵之间的关系已被广泛研究,但海洋入侵控制有机碳埋藏的机制尚不清楚。松辽盆地是白垩纪东亚最大的陆相盆地之一,为研究这一问题提供了理想的天然实验室。本文以松辽盆地晚白垩世青山口组一段(K2qn1)为研究对象。微量元素比值、分子生物标志物和锶同位素表明,东南隆升受海侵的影响比中央坳陷更强烈。随着海洋入侵的加剧,藻类的贡献增加,初级生产力上升,缺氧条件加剧,水柱盐度增加。总的来说,这些过程显著增强了有机碳埋藏。Sr/Ba、原生石/植烷(Pr/Ph)和总有机碳(TOC)的空间分布证实了这些湖泊对海洋入侵的响应。以古气候(Sr/Cu)、古盐度(Sr/Ba)、古氧化还原(Corg/P)和古生产力(Cu/Al)为输入,利用XGBoost建立了定量有机碳埋藏模型;TOC作为目标变量。结果表明,XGBoost模型捕捉到了与海侵相关的沉积环境与有机碳埋藏之间的非线性关系。Shapley加性解释(SHAP)认为古生产力是控制埋藏的主要因素,其次是氧化还原条件。本研究展示了机器学习在元素地球化学中的效用,并提供了海洋-陆地相互作用如何影响湖泊沉积环境中有机碳埋藏的定量表征。
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来源期刊
CiteScore
5.90
自引率
10.00%
发文量
398
审稿时长
3.8 months
期刊介绍: Palaeogeography, Palaeoclimatology, Palaeoecology is an international medium for the publication of high quality and multidisciplinary, original studies and comprehensive reviews in the field of palaeo-environmental geology. The journal aims at bringing together data with global implications from research in the many different disciplines involved in palaeo-environmental investigations. By cutting across the boundaries of established sciences, it provides an interdisciplinary forum where issues of general interest can be discussed.
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