Cargando…

The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters

Is fertility relevant to evolutionary analyses conducted in modern industrial societies? This question has been the subject of a highly contentious debate, beginning in the late 1980s and continuing to this day. Researchers in both evolutionary and social sciences have argued that the measurement of...

Descripción completa

Detalles Bibliográficos
Autores principales: Stulp, Gert, Sear, Rebecca, Barrett, Louise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5107203/
https://www.ncbi.nlm.nih.gov/pubmed/27670436
http://dx.doi.org/10.1007/s12110-016-9269-4
_version_ 1782467174860849152
author Stulp, Gert
Sear, Rebecca
Barrett, Louise
author_facet Stulp, Gert
Sear, Rebecca
Barrett, Louise
author_sort Stulp, Gert
collection PubMed
description Is fertility relevant to evolutionary analyses conducted in modern industrial societies? This question has been the subject of a highly contentious debate, beginning in the late 1980s and continuing to this day. Researchers in both evolutionary and social sciences have argued that the measurement of fitness-related traits (e.g., fertility) offers little insight into evolutionary processes, on the grounds that modern industrial environments differ so greatly from those of our ancestral past that our behavior can no longer be expected to be adaptive. In contrast, we argue that fertility measurements in industrial society are essential for a complete evolutionary analysis: in particular, such data can provide evidence for any putative adaptive mismatch between ancestral environments and those of the present day, and they can provide insight into the selection pressures currently operating on contemporary populations. Having made this positive case, we then go on to discuss some challenges of fertility-related analyses among industrialized populations, particularly those that involve large-scale databases. These include “researcher degrees of freedom” (i.e., the choices made about which variables to analyze and how) and the different biases that may exist in such data. Despite these concerns, large datasets from multiple populations represent an excellent opportunity to test evolutionary hypotheses in great detail, enriching the evolutionary understanding of human behavior.
format Online
Article
Text
id pubmed-5107203
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-51072032016-11-29 The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters Stulp, Gert Sear, Rebecca Barrett, Louise Hum Nat Article Is fertility relevant to evolutionary analyses conducted in modern industrial societies? This question has been the subject of a highly contentious debate, beginning in the late 1980s and continuing to this day. Researchers in both evolutionary and social sciences have argued that the measurement of fitness-related traits (e.g., fertility) offers little insight into evolutionary processes, on the grounds that modern industrial environments differ so greatly from those of our ancestral past that our behavior can no longer be expected to be adaptive. In contrast, we argue that fertility measurements in industrial society are essential for a complete evolutionary analysis: in particular, such data can provide evidence for any putative adaptive mismatch between ancestral environments and those of the present day, and they can provide insight into the selection pressures currently operating on contemporary populations. Having made this positive case, we then go on to discuss some challenges of fertility-related analyses among industrialized populations, particularly those that involve large-scale databases. These include “researcher degrees of freedom” (i.e., the choices made about which variables to analyze and how) and the different biases that may exist in such data. Despite these concerns, large datasets from multiple populations represent an excellent opportunity to test evolutionary hypotheses in great detail, enriching the evolutionary understanding of human behavior. Springer US 2016-09-26 2016 /pmc/articles/PMC5107203/ /pubmed/27670436 http://dx.doi.org/10.1007/s12110-016-9269-4 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Stulp, Gert
Sear, Rebecca
Barrett, Louise
The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters
title The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters
title_full The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters
title_fullStr The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters
title_full_unstemmed The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters
title_short The Reproductive Ecology of Industrial Societies, Part I: Why Measuring Fertility Matters
title_sort reproductive ecology of industrial societies, part i: why measuring fertility matters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5107203/
https://www.ncbi.nlm.nih.gov/pubmed/27670436
http://dx.doi.org/10.1007/s12110-016-9269-4
work_keys_str_mv AT stulpgert thereproductiveecologyofindustrialsocietiespartiwhymeasuringfertilitymatters
AT searrebecca thereproductiveecologyofindustrialsocietiespartiwhymeasuringfertilitymatters
AT barrettlouise thereproductiveecologyofindustrialsocietiespartiwhymeasuringfertilitymatters
AT stulpgert reproductiveecologyofindustrialsocietiespartiwhymeasuringfertilitymatters
AT searrebecca reproductiveecologyofindustrialsocietiespartiwhymeasuringfertilitymatters
AT barrettlouise reproductiveecologyofindustrialsocietiespartiwhymeasuringfertilitymatters