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固着生物的生长、死亡和资源竞争。

Growth, death, and resource competition in sessile organisms.

机构信息

Santa Fe Institute, Santa Fe, NM 87501

Santa Fe Institute, Santa Fe, NM 87501.

出版信息

Proc Natl Acad Sci U S A. 2021 Apr 13;118(15). doi: 10.1073/pnas.2020424118.

Abstract

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.

摘要

生态系统中的种群水平扩展源于个体的生长和死亡,同时受到竞争的限制。我们基于代谢生长的最小动力模型,其中个体生长和死亡率之间的紧张关系决定了种群规模分布。然后,我们单独考虑基于共享捕获区域的资源竞争。通过改变生长、死亡和竞争损耗的速率,我们将从森林到蚂蚁、白蚁和仙女环等固着生物的规则和随机空间模式联系起来。然后,我们考虑了非对称竞争情况下的瞬态时间动态,例如冠层遮荫或大殖民地的优势,其影响主要削弱了两个竞争者中较小的一个。当这种竞争将生长的慢时间尺度与快速竞争死亡耦合时,它会产生类似于在森林数据中观察到的种群冲击和人口波动。我们的最小定量理论通过代谢生长规律介导的局部竞争将固着生物的时空模式统一起来,而代谢生长则是长期进化动态的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85bc/8053998/66e0ac307a93/pnas.2020424118fig01.jpg

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