细菌生理学和溶解有机碳生物降解的贝叶斯反转在水化数据上
Shuaitao Wang1, Nicolas Flipo2, Josette Garnier3
1Sorbonne Université, CNRS, EPHE, UMR METIS, Paris 75005, France; BRGM, Geological Survey of France, Orléans 45100, France.
The Science of the total environment
|November 1, 2024
概括
这项研究使用贝叶斯式方法推断异构型细菌生理学和溶解有机碳 (DOC) 的生物降解性. 结果显示,在自然水域中,DOC的生物降解性更高,这突出了生物地球化学建模方面的挑战.
科学领域:
- 环境科学 环境科学
- 微生物学 微生物学
- 生物地质化学生物地质化学
背景情况:
- 溶解有机碳 (DOC) 对水生生态系统和全球碳循环至关重要.
- 生物降解DOC的微生物矿化会释放温室气体.
- 异质型细菌生理学的不确定性阻碍了准确的生物地球化学建模.
研究的目的:
- 通过贝叶斯反转方法推断异构细菌的生理性质和DOC生物降解性.
- 评估处理和自然水中的DOC生物降解性和细菌生理参数.
主要方法:
- 来自塞纳河流域的处理和天然水样本的化.
- 在化期间测量DOC和异质细菌生物量.
- 多个蒙特卡洛马尔科夫链和HSB模型应用于化数据的应用.
主要成果:
- 自然水表现出比处理水更高的可生物降解的DOC分量.
- 在5天内观察到快速生物降解的DOC分量的显著变化.
- 异质型细菌的死亡率 (kd20) 在0.013h-1时稳定.
- 细菌的最大生长率 (μmax20) 和最佳生长产量 (Y) 被估计为.
结论:
- 贝叶斯逆转方法显示了对生物地质化学模型进行参数化的潜力.
- 在DOC生物降解性的变化凸显了HSB模型参数化的挑战.
- 估计的细菌生理参数与先前的发现一致,验证了该方法.
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