Response to Discretising and validating Keyfitz' entropy for any demographic classification

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY
Connor Bernard, Charlotte de Vries, Owen R. Jones, Roberto Salguero-Gómez
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Abstract

Abstract Image

对任何人口统计分类的克菲兹熵的谨慎化和验证的回应
近年来,人口学家将存活率的变化分为两个不同的部分:老龄化的形状和速度。老龄化速度由平均预期寿命或最长寿命等寿命指标来定义,而老龄化形状指标则试图对存活率曲线的不同形状进行分类。我们最近发表了一篇论文,指出常用的形状测量离散化方法--Keyfitz'熵,并不能正确地将存活率曲线分为负衰老曲线和正衰老曲线(de Vries et al.)de Vries 等人(2023 年)最后提出了两个悬而未决的问题,Giaimo(2024 年)已经回答了这两个问题:(1) 除了基于年龄的种群模型之外,离散时间的存活率熵指标还能推广吗?Giaimo (2024) 引入了一个新公式来实现这一目标。(2) 将 Keyfitz 的推导离散化为寿命对死亡率均匀变化的弹性,能否得出与 Keyfitz 结果离散化相同的公式?Giaimo (2024) 回答说:不是。在此,我们简要讨论 Giaimo(2024 年)所获结果的意义,以及将其新公式应用到广泛用于人口比较研究的 Rpackage Rage 中的情况。我们通过重新分析 Keyfitz熵与另一种形状测量方法的比较,展示了新方法的优势。我们发现,使用 Giaimo 的新 Keyfitz 公式后,比较结果发生了显著变化。这个例子强化了 Giaimo(2004 年)的警告之言,即要谨慎对待离散化。
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来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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