均匀是否存在?

IF 7.9 1区 环境科学与生态学 Q1 ECOLOGY
Ecology Letters Pub Date : 2025-07-23 DOI:10.1111/ele.70181
John Alroy
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引用次数: 0

摘要

多样性是物种丰富度和数量分布的所谓“均匀性”的结合,这是生态学的一个基本概念。研究人员经常计算独立的均匀度指数。他们还研究了与Shannon的H和Simpson的D相关的Hill数,因为这些指标在不同程度上平衡了丰富性和“均匀性”。但是均匀性在操作上是一个有问题的抽象概念,而不是一个真实存在的东西。经验数据中的均匀度指数和希尔数对优势种丰度过于敏感,群落内可复制性差,相似群落间差异大,对纬度生物多样性趋势的指示作用较弱。它们与可能构成计数分布的关键模型参数的关系不一致,即使这些模型参数没有变化,它们在模拟中也会发生很大变化。生态学家将受益于确定哪些真实分布适合哪些理论模型,并使用估计参数来了解群落结构和聚集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Does Evenness Even Exist?

Does Evenness Even Exist?

The idea that diversity is a combination of species richness and the so-called “evenness” of count distributions is a bedrock concept in ecology. Researchers often compute stand-alone evenness indices. They also examine Hill numbers related to Shannon's H and Simpson's D because these metrics balance richness and “evenness” to various degrees. But evenness is an operationally problematic abstraction, not a thing out in the world. Evenness indices and Hill numbers in empirical data are overly sensitive to the abundance of dominant species, poorly replicable within communities, highly variable among similar communities, and a weak indicator of latitudinal biodiversity trends. They are inconsistently related to the parameters of key models that might underlie count distributions, and they vary highly in simulation even when these model parameters do not vary. Ecologists would benefit by instead determining which real distributions fit which theoretical models and using estimated parameters to understand community structure and assembly.

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来源期刊
Ecology Letters
Ecology Letters 环境科学-生态学
CiteScore
17.60
自引率
3.40%
发文量
201
审稿时长
1.8 months
期刊介绍: Ecology Letters serves as a platform for the rapid publication of innovative research in ecology. It considers manuscripts across all taxa, biomes, and geographic regions, prioritizing papers that investigate clearly stated hypotheses. The journal publishes concise papers of high originality and general interest, contributing to new developments in ecology. Purely descriptive papers and those that only confirm or extend previous results are discouraged.
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