Full text
2,171 characters
· extracted from
oa-doi-fallback
· click to expand
This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
You must log in to post a comment.
There are no comments or no comments have been made public for this article.
This is a Preprint and has not been peer reviewed. This is version 1 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.
Many marine ectotherms have historically adapted to local climate change by evolving smaller body sizes, reducing their energy demands in warmer waters but limiting their dispersal and speciation rate. Whether endothermic marine species respond similarly remains unclear, as temperature minimally affects their size diversity, and the drivers of their dispersal and speciation are poorly understood. Here we show that globally distributed seabirds (albatrosses, petrels, shearwaters, and storm petrels), facing rapid historical climate change, responded by shifts in geographic range size rather than body mass. Additionally, where the rate of warming is high, geographic ranges contracts most, intensifying the selective forces for higher dispersal capacity, and increasing speciation rate. Our findings reveal a triple threat to extant seabirds from human-induced global warming: shrinking ranges increase their extinction risk, push them to their maximum limit of dispersal capacity, and subject them to unprecedented warming rates. These insights reveal a distinct endothermic response to ocean warming, underscoring the vulnerability of seabirds and the urgent need to integrate range dynamics into conservation strategies for marine biodiversity under accelerating global change.
https://doi.org/10.32942/X2B33W
Ecology and Evolutionary Biology, Evolution, Life Sciences
Geographic speciation, Species dispersal, Geo model
Published: 2025-06-03 11:14
Last Updated: 2025-06-03 11:14
CC-By Attribution-NonCommercial-NoDerivatives 4.0 International
Conflict of interest statement:
None
Data and Code Availability Statement:
Data and code will be made publicly available upon publication of the article in a peer-reviewed journal.
Language:
English
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.