利用贝叶斯多源混合模型,利用正烷烃的浓度和δ13C量化沉积有机质中沉水植物的相对贡献:长江冲积平原案例研究

IF 3.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Linghan Zeng, Xianyu Huang, Deming Yang, Guang Yang, Yiming Zhang, Xu Chen
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引用次数: 0

摘要

沉水大型底栖生物是反映浅层淡水生态系统状况的重要指标。重建沉水大型植物的长期变化仍然是古生态学的一个挑战。本文利用贝叶斯多源混合模型,结合湖泊表层沉积物中提取的正构烷烃的浓度和δ13C,估算了中国中部某浅水湖泊中不同植物与沉积有机质的相对生物量(质量)。模型估算的水下大型植物生物量的空间分布与水体透明度、水深和总氮相关。相关模式与之前建立的沉水大型底栖生物生长和水体条件的模式一致,这支持了贝叶斯方法在浅水淡水湖中的实用性。相比之下,Paq(中链长度(C23、C25)与长链长度(C29、C31)同源物的比例)低估了沉水大型底栖生物的贡献,尤其是在中等 Paq 值(0.3 < Paq < 0.4)的样本中。另一方面,模型输出结果与卫星图像估算的巨藻覆盖率之间存在一些差异,这表明需要进行地面实况调查,以进一步评估这种方法。我们的研究表明,结合正构烷烃丰度和同位素的贝叶斯混合模型可以合理估算沉积物中沉水大型底栖生物的相对生物量。这种方法为古生态学研究重建沉水大型底栖生物的长期变化提供了新的思路,对于缺乏长期湖泊学监测的浅水湖泊的恢复和保护具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying Relative Contribution of Submerged Macrophytes to Sedimentary Organic Matter Using Concentrations and δ13C of n-Alkanes With the Bayesian Multi-Source Mixing Model: A Case Study From the Yangtze Floodplain

Submerged macrophytes are important indicators of the state of shallow freshwater ecosystems. Reconstruction long-term changes in submerged macrophytes remains a challenge in paleoecology. Here, the relative biomass (mass weight) of different plants to sedimentary organic matter in a shallow lake in central China was estimated using a Bayesian multi-source mixing model with concentrations and δ13C of n-alkanes extracted from surface lake sediments. The spatial distribution of submerged macrophytes biomass estimated by the model correlates with water transparency, water depth, and total nitrogen. The correlation patterns are consistent with previously established patterns of submerged macrophyte growth and water conditions, which supports the utility of the Bayesian approach in shallow freshwater lakes. In comparison, Paq, proportion of mid-chain length (C23, C25) to long-chain length (C29, C31) homologs, underestimated the contribution of submerged macrophytes, especially in samples with moderate Paq values (0.3 < Paq < 0.4). On the other hand, some discrepancies between the model output and the satellite imagery estimated macrophyte coverage are present, which suggests that ground-truthing is needed to further evaluate this approach. Our study demonstrates that the Bayesian mixing model combining the abundance and isotopes of n-alkanes makes a reasonable estimation of the relative biomass of submerged macrophytes in the sediments. This approach provides new insights into reconstructing long-term variations in submerged macrophytes for paleoecological studies, which is valuable for the restoration and conservation of shallow freshwater lakes when long-term limnological monitoring is lacking.

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来源期刊
Journal of Geophysical Research: Biogeosciences
Journal of Geophysical Research: Biogeosciences Earth and Planetary Sciences-Paleontology
CiteScore
6.60
自引率
5.40%
发文量
242
期刊介绍: JGR-Biogeosciences focuses on biogeosciences of the Earth system in the past, present, and future and the extension of this research to planetary studies. The emerging field of biogeosciences spans the intellectual interface between biology and the geosciences and attempts to understand the functions of the Earth system across multiple spatial and temporal scales. Studies in biogeosciences may use multiple lines of evidence drawn from diverse fields to gain a holistic understanding of terrestrial, freshwater, and marine ecosystems and extreme environments. Specific topics within the scope of the section include process-based theoretical, experimental, and field studies of biogeochemistry, biogeophysics, atmosphere-, land-, and ocean-ecosystem interactions, biomineralization, life in extreme environments, astrobiology, microbial processes, geomicrobiology, and evolutionary geobiology
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