论文标题

预测养分有限的生物圈的生物签名

Predicting biosignatures for nutrient limited biospheres

论文作者

Nicholson, A. E., Daines, S. J., Mayne, N. J., Eager-Nash, J. K., Lenton, T. M., Kohary, K.

论文摘要

随着潜在可居住的行星气氛的特征,在未来几十年中,寻找生物签名将成为研究的主要研究领域。要了解可能表明外星人生活的大气特征,我们必须了解行星的非生物特征以及生命如何与环境相互作用。在生物地球化学领域,生命环境耦合系统的复杂模型表明,许多基于地球生命的假设,例如特定的ATP维护成本是不需要准确对生物圈建模的。我们探索了单物种微生物生物圈的简单模型,该模型将CH4作为微生物的能量提取的副产品(称为I型生物签名)。我们证明,尽管显着改变生物学参数对生物圈的总人群有很大影响,但这种变化对所得生物签名的强度只有最小的影响,而生物圈受H2的可用性限制。我们将模型扩展到包括更准确的微生物能量收集,并表明调整微生物参数可以导致制度变化,在这种情况下,生物圈受到能量可用性的限制,并且不再完全利用可用的H2,从而影响了所得生物签名的强度。我们证明,对于有限的养分生物圈,识别有限的养分,了解控制其丰度的非生物过程,并确定生物圈利用它的能力,比生物界动力学的细节更为基础。

With the characterisations of potentially habitable planetary atmospheres on the horizon, the search for biosignatures is set to become a major area of research in the coming decades. To understand the atmospheric characteristics that might indicate alien life we must understand the abiotic characteristics of a planet and how life interacts with its environment. In the field of biogeochemistry, sophisticated models of life-environment coupled systems demonstrate that many assumptions specific to Earth-based life, e.g. specific ATP maintenance costs, are unnecessary to accurately model a biosphere. We explore a simple model of a single-species microbial biosphere that produces CH4 as a byproduct of the microbes' energy extraction - known as a type I biosignature. We demonstrate that although significantly changing the biological parameters has a large impact on the biosphere's total population, such changes have only a minimal impact on the strength of the resulting biosignature, while the biosphere is limited by H2 availability. We extend the model to include more accurate microbial energy harvesting and show that adjusting microbe parameters can lead to a regime change where the biosphere becomes limited by energy availability and no longer fully exploits the available H2, impacting the strength of the resulting biosignature. We demonstrate that, for a nutrient limited biosphere, identifying the limiting nutrient, understanding the abiotic processes that control its abundance, and determining the biosphere's ability to exploit it, are more fundamental for making type I biosignature predictions than the details of the population dynamics of the biosphere.

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