Microbial populations hardly ever grow logistically and never sublinearly.

IF 2.4 3区 物理与天体物理 Q1 Mathematics
José Camacho-Mateu, Aniello Lampo, Mario Castro, José A Cuesta
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引用次数: 0

Abstract

We investigate the growth dynamics of microbial populations, challenging the conventional logistic model. By analyzing empirical data from various biomes, we demonstrate that microbial growth is better described by a generalized logistic model, the θ-logistic model. This accounts for different growth mechanisms and environmental fluctuations, leading to a generalized gamma distribution of abundance fluctuations. Our findings reveal that microbial growth is never sublinear, so they cannot endorse-at least in the microbial world-the recent proposal of this mechanism as a stability enhancer of highly diverse communities. These results have significant implications for understanding macroecological patterns and the stability of microbial ecosystems.

微生物种群几乎从不按逻辑增长,也从不按次线性增长。
我们研究微生物种群的生长动态,挑战传统的逻辑模型。通过分析来自各种生物群系的经验数据,我们证明微生物生长可以用广义逻辑模型θ-logistic模型来更好地描述。这解释了不同的生长机制和环境波动,导致丰度波动的广义伽玛分布。我们的研究结果表明,微生物的生长从来都不是亚线性的,因此它们不能支持——至少在微生物界——最近提出的这种机制作为高度多样化群落的稳定性增强剂的建议。这些结果对理解宏观生态模式和微生物生态系统的稳定性具有重要意义。
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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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