Understanding age and society using natural populations

Ageing affects almost all aspects of life and therefore is an important process across societies, human and non-human animal alike. This article introduces new research exploring the complex interplay between individual-level ageing and demography, and the consequences this interplay holds for the structure and functioning of societies across various natural populations. We discuss how this Special Issue provides a foundation for integrating perspectives from evolutionary biology, behavioural ecology and demography to provide new insights into how ageing shapes individuals' social behaviour and social associations, and how this in turn impacts social networks, social processes (such as disease or information transfer) and fitness. Through examining these topics across taxa, from invertebrates to birds and mammals, we outline how contemporary studies are using natural populations to advance our understanding of the relationship between age and society in innovative ways. We highlight key emerging research themes from this Special Issue, such as how sociality affects lifespan and health, the genetic and ecological underpinnings of social ageing and the adaptive strategies employed by different species. We conclude that this Special Issue underscores the importance of studying social ageing using diverse systems and interdisciplinary approaches for advancing evolutionary and ecological insights into both ageing and sociality more generally.This article is part of the discussion meeting issue 'Understanding age and society using natural populations '.

Authors

Institutions

Publication Details

Journal
Philosophical Transactions of the Royal Society B Biological Sciences
Published
2024-10-28
DOI
https://doi.org/10.1098/rstb.2022.0469
Citations
6
Primary Topic
Evolutionary Psychology and Human Behavior
Type
article
Field-Weighted Citation Impact
3.05

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding age and society using natural populations

Josh A. Firth, Lauren J. N. Brent, Gregory F. Albery, Sandra Bouwhuis et al.
6 citations
Philosophical Transactions of the Royal Society B Biological Sciences
Evolutionary Psychology and Human Behavior
3.05
article

Understanding age and society using natural populations

Josh A. Firth, Lauren J. N. Brent, Gregory F. Albery, Sandra Bouwhuis, Roberto Salguero‐Gómez
article en
6 citations

Abstract

Ageing affects almost all aspects of life and therefore is an important process across societies, human and non-human animal alike. This article introduces new research exploring the complex interplay between individual-level ageing and demography, and the consequences this interplay holds for the structure and functioning of societies across various natural populations. We discuss how this Special Issue provides a foundation for integrating perspectives from evolutionary biology, behavioural ecology and demography to provide new insights into how ageing shapes individuals' social behaviour and social associations, and how this in turn impacts social networks, social processes (such as disease or information transfer) and fitness. Through examining these topics across taxa, from invertebrates to birds and mammals, we outline how contemporary studies are using natural populations to advance our understanding of the relationship between age and society in innovative ways. We highlight key emerging research themes from this Special Issue, such as how sociality affects lifespan and health, the genetic and ecological underpinnings of social ageing and the adaptive strategies employed by different species. We conclude that this Special Issue underscores the importance of studying social ageing using diverse systems and interdisciplinary approaches for advancing evolutionary and ecological insights into both ageing and sociality more generally.This article is part of the discussion meeting issue 'Understanding age and society using natural populations '.

Philosophical Transactions of the Royal Society B Biological SciencesVol. 379(1916)
University of Leeds (GB), Georgetown University (US), Trinity College Dublin (IE), University of Exeter (GB), University of Oxford (GB), Institute of Avian Research (DE)
National Science Foundation, NERC Environmental Bioinformatics Centre, Wild Animal Initiative, Royal Society, Sight Research UK, National Institutes of Health, Biotechnology and Biological Sciences Research Council, Natural Environment Research Council, H2020 European Research Council
Openalex Percentile: Top 8%
Evolutionary Psychology and Human Behavior
3.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.