Measuring the shape of mortality across animals and plants: Alternatives to
H‐entropy
demography
life history
mortality
survivorship
Journal
Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
received:
23
01
2023
revised:
15
04
2023
accepted:
25
04
2023
medline:
19
5
2023
pubmed:
19
5
2023
entrez:
19
5
2023
Statut:
epublish
Résumé
The shape of mortality, or how mortality is spread across an organism's life course, is fundamental to a range of biological processes, with attempts to quantify it rooted in ecology, evolution, and demography. One approach to quantify the distribution of mortality over an organism's life is the use of entropy metrics whose values are interpreted within the classical framework of survivorship curves ranging from type I distributions, with mortality concentrated in late life stages, to type III survivorship curves associated with high early stage mortality. However, entropy metrics were originally developed using restricted taxonomic groups and the behavior of entropy metrics over larger scales of variation may make them unsuitable for wider-ranging contemporary comparative studies. Here, we revisit the classic survivorship framework and, using a combination of simulations and comparative analysis of demography data spanning the animal and plant kingdoms, we show that commonly used entropy metrics cannot distinguish between the most extreme survivorship curves, which in turn can mask important macroecological patterns. We show how using
Identifiants
pubmed: 37206684
doi: 10.1002/ece3.10076
pii: ECE310076
pmc: PMC10191775
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e10076Informations de copyright
© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.
Déclaration de conflit d'intérêts
The authors declare that they have no conflict of interest.
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