物种丰度、瓮模型和中性。

IF 0.7 4区 生物学 Q4 BIOLOGY
Jerome Chave
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引用次数: 0

摘要

生物多样性和生物地理学的中性理论刺激了群落生态学的研究。在这里,精确的结果用于将中性模型预测应用于大型区域样本。提出了三种互补的中性模型:eens规范中性模型、细分生态群落模型和“多样性产生多样性”中性模型。对于这三种模型,给出了精确的抽样公式,并给出了一个新的R包中性。该包用于拟合亚马逊、热带非洲和东南亚热带森林树木区域清单中的物种丰度。结果表明,中性模型可以很好地拟合除少数最丰富的物种(根据大陆的不同,从6到40种)以外的所有物种的经验数据。当以参数θ作为区域多样性指数时,亚马逊地区和东南亚地区的区域多样性相似(亚马逊地区为θ = 654,东南亚地区为θ = 726),而热带非洲地区的树木区系多样性较低(θ = 219)。该模型推断出亚马逊地区有10141种树种,至少有50个个体,热带非洲有3477种树种,东南亚有9915种树种。空间细分中性模型为三个区域植物区系的空间亚结构提供了明确的证据。这些结果表明,中性模型在探索物种丰富度的区域模式和提供关于区域物种库的见解方面是非常有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Species abundance, urn models, and neutrality.

The neutral theory of biodiversity and biogeography has stimulated much research in community ecology. Here, exact results are used to apply neutral model predictions to large regional samples. Three complementary neutral models are presented: the Ewens canonical neutral model, a model of subdivided ecological communities, and a “diversity begets diversity” neutral model. For all three models, an exact sampling formula is provided, and a new R package neutr, is presented. This package is used to fit species abundances from regional inventories of tropical forest trees in the Amazon, tropical Africa and Southeast Asia. It is shown that the neutral models fit well empirical data for all but the few most abundant species (from 6 to 40 depending on the continent). When the parameter θ is taken as an index or regional diversity, the Amazonia and Southeast Asia emerge with similar regional diversities (θ = 654 for Amazonia, versus θ = 726 for Southeast Asia), with a less diverse tropical African tree flora (θ = 219). The model infers 10,141 tree species with at least 50 individuals in Amazonia, 3477 in tropical Africa and 9915 in Southeast Asia. The spatially subdivided neutral model provides clear evidence for a spatial substructure in all three regional floras. These results show how neutral models are useful to explore regional patterns of species abundance and to provide insights about regional species pools.

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来源期刊
Comptes Rendus Biologies
Comptes Rendus Biologies 生物-生物学
CiteScore
2.40
自引率
0.00%
发文量
22
审稿时长
3 months
期刊介绍: The Comptes rendus Biologies publish monthly communications dealing with all biological and medical research fields (biological modelling, development and reproduction biology, cell biology, biochemistry, neurosciences, immunology, pharmacology, ecology, etc.). Articles are preferably written in English. Articles in French with an abstract in English are accepted.
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