二氧化碳升高条件下水生固碳的化学计量理论。

IF 1.9 4区 数学 Q2 BIOLOGY Mathematical Biosciences Pub Date : 2024-08-22 DOI:10.1016/j.mbs.2024.109285
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引用次数: 0

摘要

全球气候变化预测表明,到本世纪末,大气中的二氧化碳浓度将增加两倍。然而,二氧化碳的升高如何影响水生碳固存和水生微生物群落的物种组成仍无定论。为了填补这一知识空白,我们建立了一个细菌-藻类相互作用模型,以描述二氧化碳升高对水生生态系统的影响,并严格推导出决定藻类或细菌持续存在和灭绝的阈值。我们探讨了光照强度、营养浓度、无机碳浓度和水深等非生物因素对藻类和细菌动态的影响。主要研究结果表明,大气中二氧化碳浓度升高会增加藻类生物量,从而促进碳固存。另一方面,大气中二氧化碳浓度升高会降低细菌生物量,二氧化碳浓度过高甚至会破坏细菌群落。数值模拟表明,富营养化和光照强度增强会降低水生碳固存,而大气中二氧化碳浓度升高则能缓解富营养化。此外,较高的藻类呼吸率和死亡率不利于固碳,而细菌呼吸率的提高则会促进固碳。
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Stoichiometric theory in aquatic carbon sequestration under elevated carbon dioxide

Global climate change projections indicate that the atmospheric concentration of carbon dioxide will increase twofold by the end of this century. However, how the elevated carbon dioxide affects aquatic carbon sequestration and species composition within aquatic microbial communities remains inconclusive. To address this knowledge gap, we formulate a bacteria-algae interaction model to characterize the effects of elevated carbon dioxide on aquatic ecosystems and rigorously derive the thresholds determining the persistence and extinction of algae or bacteria. We explore the impacts of abiotic factors, such as light intensity, nutrient concentration, inorganic carbon concentration and water depth, on algae and bacteria dynamics. The main findings indicate that the elevated atmospheric carbon dioxide will increase algae biomass and thus facilitate carbon sequestration. On the other hand, the elevated atmospheric carbon dioxide will reduce bacterial biomass, and excessive carbon dioxide concentrations can even destroy bacterial communities. Numerical simulations indicate that eutrophication and intensified light intensity can reduce aquatic carbon sequestration, while elevated atmospheric carbon dioxide levels can mitigate eutrophication. Furthermore, higher algae respiration and death rates are detrimental to carbon sequestration, whereas the increased bacterial respiration rates promote carbon sequestration.

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来源期刊
Mathematical Biosciences
Mathematical Biosciences 生物-生物学
CiteScore
7.50
自引率
2.30%
发文量
67
审稿时长
18 days
期刊介绍: Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.
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