posted on 2025-04-28, 15:17authored byMarlène Gamelon, Juliano Morimoto, Hannah J White
<p dir="ltr">Species across the tree of life differ in many aspects. Comparative analyses and meta-analyses in both animal and plant kingdoms have brought significant insights on interspecific variation (e.g. Raffard et al., <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14244#jane14244-bib-0028" target="_blank">2019</a>; Siefert et al., <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14244#jane14244-bib-0032" target="_blank">2015</a>). As ecologists, we often work on the assumption that interspecific variation is greater than intraspecific variation, despite the central role intraspecific variation plays in evolutionary theory (Darwin, <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14244#jane14244-bib-0011" target="_blank">1859</a>). Yet, intraspecific variation may improve species' ability to respond and adapt to new environmental conditions, which is pivotal in the current context of global changes where both the mean and the variance of environmental conditions are changing. Therefore, it is surprising that the use of single average values per species has persisted across ecological research, from using mean values of ecological traits in community ecology (e.g. McGill et al., <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14244#jane14244-bib-0026" target="_blank">2006</a>), to mean values of vital rates in population projection models (e.g. Caswell, <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14244#jane14244-bib-0008" target="_blank">2006</a>; Vindenes et al., <a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14244#jane14244-bib-0038" target="_blank">2021</a>). Doing so ignores the genetic and phenotypic variation present within species, from individuals through to populations, often over-simplifying the complexity that exists in nature. In this special feature, Rosa et al. (<a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2656.14244#jane14244-bib-0046" target="_blank">2025</a>) nicely exemplifies how ignoring intraspecific variation in vital rates can bias predictions of population growth rates from demographic models. The authors show that mixing vital rates (e.g. survival, recruitment) from different yellow-bellied toad (<i>Bombina variegata</i>) populations, inhabiting contrasting ecological contexts, in hybrid ‘Frankenstein’ matrices, would rely on the assumption that all populations have similar vital rates, independently on their habitats or encountered weather conditions. This strong and somewhat unrealistic biological assumption can lead hybrid matrices to produce biased predictions of population growth rates with potentially deleterious implications for conservation or management.</p>