Too big to miss: body size biases in tetrapod species descriptions and their implications for conservation

While species descriptions are rooted in biological diversity, their timing and patterns have also been influenced by historical, socioeconomic, and perceptual biases. Among these, body size has long been proposed as a factor influencing the timing of species discovery, with larger species assumed to have been described earlier due to their conspicuousness and broader distributions. Using comprehensive datasets on amphibians, birds, mammals, and reptiles, this study analyzes body size trends in vertebrate species descriptions across broad temporal, phylogenetic and geographic scales. Results show that species described earlier tended to have larger body sizes. Null models reveal that, trends in species description accounting for body size deviate from chance. Spatial analyses further show that tropical regions, particularly the Amazon, Andes and Southeast Asia, have remained central to species discovery across all periods. I also briefly discuss the challenges of defining large‐bodied species and highlight the limitations of relying solely on central tendency estimates. While the discovery of entirely unknown large species is increasingly rare, taxonomic revisions continue to reveal cryptic giants. These findings underscore the importance of recognizing historical biases in species descriptions, not only for interpreting biodiversity patterns, but also for informing conservation priorities and reconciling taxonomic and ecological perspectives.

Authors

Institutions

Publication Details

Journal
Oikos
Published
2025-11-14
DOI
https://doi.org/10.1002/oik.11904
Primary Topic
Amphibian and Reptile Biology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Too big to miss: body size biases in tetrapod species descriptions and their implications for conservation

Juan D. Vásquez‐Restrepo
Oikos
Amphibian and Reptile Biology
article

Too big to miss: body size biases in tetrapod species descriptions and their implications for conservation

Juan D. Vásquez‐Restrepo
article en

Abstract

While species descriptions are rooted in biological diversity, their timing and patterns have also been influenced by historical, socioeconomic, and perceptual biases. Among these, body size has long been proposed as a factor influencing the timing of species discovery, with larger species assumed to have been described earlier due to their conspicuousness and broader distributions. Using comprehensive datasets on amphibians, birds, mammals, and reptiles, this study analyzes body size trends in vertebrate species descriptions across broad temporal, phylogenetic and geographic scales. Results show that species described earlier tended to have larger body sizes. Null models reveal that, trends in species description accounting for body size deviate from chance. Spatial analyses further show that tropical regions, particularly the Amazon, Andes and Southeast Asia, have remained central to species discovery across all periods. I also briefly discuss the challenges of defining large‐bodied species and highlight the limitations of relying solely on central tendency estimates. While the discovery of entirely unknown large species is increasingly rare, taxonomic revisions continue to reveal cryptic giants. These findings underscore the importance of recognizing historical biases in species descriptions, not only for interpreting biodiversity patterns, but also for informing conservation priorities and reconciling taxonomic and ecological perspectives.

OikosVol. 2026(2)
Princeton University (US)
Openalex Percentile: Top 68%
Amphibian and Reptile Biology
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.