My family and other animals: human demography under a comparative cross-species lens: comparative human demography

Abstract

Like all species, the demography of humans has been shaped under the framework of natural selection. Our understanding of human demography can thus be enhanced by viewing it through a comparative, cross-species, lens and exploring the position of humans among other animal species. Here we use demographic data in the form of matrix population models (MPMs) from humans and 90 other animal species to contextualize patterns of human evolutionary demography. We conduct an additional analysis using human MPM data derived from raw census data from 96 countries over a period spanning 1780 to 2014. For each MPM we calculate a suite of demographic variables that describe multi-component life history strategy and use principal component analysis (PCA) to contextualize human populations among the other vertebrates. We show that, across species, life history strategy can be described by position across two dominant axes of variation and that human life history strategy is indeed set apart from that of other animals. We argue that life history architecture -- the set of relationships among life history traits including their correlations and trade-offs -- is fundamentally different within humans than across all animal species - perhaps because of fundamental distinction in the processes driving within-species and among-species differences. We illustrate strong general temporal trends in life history strategy in humans and highlight both striking commonalities and some differences among countries. For example, there is a general for traversal across life history space that reflects increased life expectancy and life span equality but there is also among- country variation in the trajectories that remains to be explained. Our approach of distilling complex demographic strategies into principal component axes offers a useful tool for the exploration of human demography.

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ORCID for Thomas Ezard: orcid.org/0000-0001-8305-6605

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