Document of bibliographic reference 396864

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Size bias in the documentation of marine biodiversity
Abstract
Biodiversity exploration is incomplete, with a substantial gap between described and undiscovered species. Biases occur in these taxonomic descriptions, favoring easily observable and common species, leading to a skewed representation of ecological diversity, particularly in marine environments where deep-sea life and smaller invertebrate groups remain underexplored. Here, we examine dynamics of taxonomic bias in describing marine biodiversity, emphasizing the relationship between the size of species and the timing of their formal description. Analyzing data from over 62 000 marine animal species across nine phyla, we find a significant inverse correlation: smaller species are consistently described more recently. This pattern persists across taxa and habitats, with fluctuations observed over time, including notable inflections coinciding with historical events and technological advancements. These results underscore the implications of taxonomic bias for ecological understanding and conservation efforts, emphasizing the importance of completing inventories of marine life, particularly focusing on small-bodied, potentially threatened species.
Bibliographic citation
McClain, C.R.; Webb, T.J.; Heim, N.A.; Knope, M.L.; Monarrez, P.M.; Payne, J.L. (2024). Size bias in the documentation of marine biodiversity. Oikos (Kbh.) 2024. https://dx.doi.org/10.1111/oik.10828
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Craig McClain
author
Name
Thomas Webb
Identifier
https://orcid.org/0000-0003-3183-8116
author
Name
Noel Heim
author
Name
Matthew Knope
author
Name
Pedro Monarrez
author
Name
Jonathan Payne

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1111/oik.10828

Document metadata

date created
2024-11-20
date modified
2024-11-20