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泰勒法则揭示了生物特性和环境条件对种群动态的作用。

Taylor's law on abundance unravels the role of traits and environmental conditions on population dynamics.

机构信息

Departamento de Ecologia y Gestion Ambiental, Centro Universitario Regional Este (CURE), Universidad de la República, Maldonado, Uruguay.

CICADA, Centro Interdisciplinario de Ciencia de Datos y Aprendizaje Automático, Universidad de la República, Maldonado, Uruguay.

出版信息

J Anim Ecol. 2024 Oct;93(10):1442-1444. doi: 10.1111/1365-2656.14178. Epub 2024 Sep 14.

DOI:10.1111/1365-2656.14178
PMID:39275885
Abstract

The variance-mean scaling in population abundance or Taylor's power law (TPL) has been reported hundreds of times and is related to ecological processes such as competition, dispersal or territoriality. In this sense, the TPL was extensively validated to resume population variability and to show the action of ecological mechanisms. Baumgartner and Peláez (2024) combine databases of fish dynamics along the United States, species traits, species phylogeny and climatic conditions, estimating the TPL for 180 species along 972 populations. The observed scaling suggests that the variability of the population decreases with abundance. Notably, 68% of the variation in the variance-mean scaling was explained by species traits and environmental conditions. Specifically, the life history of the species, associated with its body size, was the main explanation for the TPL, also reporting that the variability of the population increased faster with mean abundance in the headwaters than in other river sections. Equally important, the diversity of the community in which the species were inserted did not affect the scaling. These results provide overwhelming evidence on the nature of TPL on large geographic scales and how they are affected by species biology and environmental conditions. A contribution that should motivate further empirical and theoretical analysis of the TPL and its determinants.

摘要

种群丰度的方差-均值缩放或泰勒幂律(TPL)已被报道数百次,与竞争、扩散或领域性等生态过程有关。从这个意义上说,TPL 被广泛验证用于恢复种群变异性并展示生态机制的作用。Baumgartner 和 Peláez(2024 年)结合了美国鱼类动态数据库、物种特征、物种系统发育和气候条件,对 972 个种群中的 180 个物种进行了 TPL 估计。观察到的缩放表明,种群的变异性随着丰度的增加而降低。值得注意的是,方差-均值缩放的 68%的变化可以用物种特征和环境条件来解释。具体来说,物种的生活史与其体型相关,是 TPL 的主要解释因素,还报告称,与其他河段相比,物种在源头处的平均丰度增加时,种群的变异性增加得更快。同样重要的是,物种所处的群落多样性并不影响缩放。这些结果提供了大量证据,证明了 TPL 在大地理尺度上的性质,以及它如何受到物种生物学和环境条件的影响。这一贡献应该激励对 TPL 及其决定因素进行进一步的实证和理论分析。

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