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Growth, death, and resource competition in sessile organisms [Applied Mathematics]
Proceedings of the National Academy of Sciences of the United States of America ( IF 11.1 ) Pub Date : 2021-04-13 , DOI: 10.1073/pnas.2020424118
Edward D Lee 1 , Christopher P Kempes 2 , Geoffrey B West 2
Affiliation  

Population-level scaling in ecological systems arises from individual growth and death with competitive constraints. We build on a minimal dynamical model of metabolic growth where the tension between individual growth and mortality determines population size distribution. We then separately include resource competition based on shared capture area. By varying rates of growth, death, and competitive attrition, we connect regular and random spatial patterns across sessile organisms from forests to ants, termites, and fairy circles. Then, we consider transient temporal dynamics in the context of asymmetric competition, such as canopy shading or large colony dominance, whose effects primarily weaken the smaller of two competitors. When such competition couples slow timescales of growth to fast competitive death, it generates population shocks and demographic oscillations similar to those observed in forest data. Our minimal quantitative theory unifies spatiotemporal patterns across sessile organisms through local competition mediated by the laws of metabolic growth, which in turn, are the result of long-term evolutionary dynamics.



中文翻译:

固着生物的生长、死亡和资源竞争 [应用数学]

生态系统中的人口水平缩放源于具有竞争约束的个体增长和死亡。我们建立在代谢增长的最小动态模型上,其中个体增长和死亡率之间的紧张关系决定了人口规模分布。然后我们分别包括基于共享捕获区域的资源竞争。通过不同的增长率、死亡率和竞争性损耗,我们将固定生物的规则和随机空间模式连接起来,从森林到蚂蚁、白蚁和仙女圈。然后,我们在不对称竞争的背景下考虑瞬态时间动态,例如树冠遮蔽或大群体优势,其影响主要削弱两个竞争对手中较小的一个。当这种竞争将增长的时间尺度放慢到竞争的快速死亡时,它产生类似于森林数据中观察到的人口冲击和人口波动。我们的最小定量理论通过代谢生长规律介导的局部竞争统一了固着生物的时空模式,而代谢生长规律又是长期进化动力学的结果。

更新日期:2021-04-09
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