Skip to main content
Drivers of taxonomic bias in ecology and evolution: insights from ethologists and behavioural ecologists

Drivers of taxonomic bias in ecology and evolution: insights from ethologists and behavioural ecologists

This is a Preprint and has not been peer reviewed. This is version 4 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Pietro Pollo, Michael M. Kasumovic

Abstract

Taxonomic bias, i.e. the disproportionate attention given to some taxa relative to their diversity, continues to hinder innovation and the pursuit of generality in ecology and evolution. Yet, the factors shaping ecologists’ and evolutionary biologists’ choices of study organisms mostly remains a mystery. We propose a framework explaining researchers’ taxonomic choices along three major axes, supported by evidence from a preregistered survey of 868 researchers’ experiences. First, rational considerations, such as logistical ease and societal relevance, were associated with the choice of research organisms within major animal groups but rarely across them. Second, contextual factors, like the prominence of certain organisms within peer networks or early-career exposure to specific taxa, were also associated with researchers’ decisions about which organisms to study. Third, emotional factors, including taxonomic affinities, closely mirrored taxonomic patterns in the literature, indicating that they are a major driver of organism choice at broad taxonomic scales. Based on these findings, we suggest actions to mitigate taxonomic bias, including promoting (i) outreach initiatives featuring neglected taxa, (ii) taxonomically equitable education, and (iii) taxonomically diverse research experiences.

DOI

https://doi.org/10.32942/X2CQ1N

Subjects

Ecology and Evolutionary Biology

Keywords

charismatic species, knowledge imbalance, model organisms, research bias, taxonomic chauvinism

Dates

Published: 2026-02-23 15:04

Last Updated: 2026-09-15 08:31

Older Versions

License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare no conflicts of interest.

Data and Code Availability Statement:
All data and code used in this study are available at https://zenodo.org/records/18719247.

Language:
English

Metrics

Views: 573

Downloads: 301