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伊比利亚半岛西部盐沼沉积物有机质的组成与来源:构建溴沉积库的新型预测模型

Composition and sources of sediment organic matter in a western Iberian salt marsh: Developing a novel prediction model of the bromine sedimentary pool.

作者信息

Jiménez-Morillo Nicasio T, Moreno João, Moreno Filipa, Fatela Francisco, Leorri Eduardo, De la Rosa Jose Maria

机构信息

Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS-CSIC), Avda. Reina Mercedes 10, 41012 Sevilla, Spain.

Instituto Dom Luiz - IDL, Universidade de Lisboa, 1749-016 Lisboa, Portugal.

出版信息

Sci Total Environ. 2024 Jan 10;907:167931. doi: 10.1016/j.scitotenv.2023.167931. Epub 2023 Oct 18.

Abstract

Salt marshes are sensitive highly productive habitats crucial for carbon cycling. This study presents a comprehensive analysis of organic geochemical indicators and geochronology in the Mira salt marsh (SW Portugal) over eight centuries. The closely intertwined carbon and bromine (Br) biogeochemical cycles in these environments can influence the fluxes of volatile compounds such as ozone-depleting methyl bromide, emphasizing the importance of understanding sediment organic matter (OM) origin, budget, and composition in salt marshes. To characterize the strong Br-OM relationship, we used n-alkane signatures, bulk elemental data (total carbon, total nitrogen, C/N ratio), and stable isotopes (δN, δC) from a sediment core. Findings revealed a mixed composition of terrestrial and marine OM, posing challenges in distinguishing ex situ higher plant sources from in situ production by marsh vegetation. n-Alkanes (C to C) were found in all the sediment samples, predominantly C-C. Changes in their presence were linked to marsh succession, evolving from a vegetation-free tidal flat to a C halophyte-dominated high marsh ecosystem. Despite the area's low industrial and population impact, regulation of water flow through the dam affected the balance between continental and marine waters. This study aimed to create a cost-effective predictive model for total Br, enhancing paleoclimatic studies using sedimentary samples. The n-alkane model had limited resolution, but an alternative infrared (IR) spectroscopy-based model, requiring less time and smaller sample sizes, was developed. Combining FT-IR spectra with statistical analysis enabled the creation of a reliable total Br concentration prediction model (mean absolute error = 14.39). These findings have implications for controlling Br enrichment in marsh environments and can be applied in various coastal wetlands with different mineralogical and organic characteristics.

摘要

盐沼是对碳循环至关重要的敏感且高产的栖息地。本研究对葡萄牙西南部米拉盐沼八个多世纪以来的有机地球化学指标和地质年代学进行了全面分析。这些环境中紧密交织的碳和溴(Br)生物地球化学循环会影响挥发性化合物的通量,如消耗臭氧层的甲基溴,这凸显了了解盐沼中沉积物有机质(OM)来源、收支和组成的重要性。为了表征Br与OM之间的强关系,我们使用了来自一个沉积岩芯的正构烷烃特征、大量元素数据(总碳、总氮、C/N比)和稳定同位素(δN、δC)。研究结果揭示了陆地和海洋OM的混合组成,在区分异地高等植物来源与盐沼植被原地生产方面存在挑战。在所有沉积物样本中都发现了正构烷烃(C至C),主要是C - C。它们的存在变化与盐沼演替有关,从无植被的潮滩演变为以C盐生植物为主的高沼生态系统。尽管该地区受到的工业和人口影响较小,但通过大坝的水流调节影响了陆地和海水之间的平衡。本研究旨在创建一个具有成本效益的总Br预测模型,以增强利用沉积样本进行的古气候研究。正构烷烃模型的分辨率有限,但开发了一种基于红外(IR)光谱的替代模型,该模型所需时间更少且样本量更小。将傅里叶变换红外光谱(FT - IR)与统计分析相结合,能够创建一个可靠的总Br浓度预测模型(平均绝对误差 = 14.39)。这些发现对控制盐沼环境中的Br富集具有启示意义,并且可以应用于具有不同矿物学和有机特征的各种沿海湿地。

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