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Offspring Size Resolves a Population Growth Paradox in Rays and Skates

Lookup NU author(s): Dr Ellen Barrowclift-Mahon, Emeritus Professor Per Berggren, Dr Nicholas Dulvy

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2026 The Author(s). Fish and Fisheries published by John Wiley & Sons Ltd. The maximum intrinsic population growth rate, rmax, is a key determinant of sustainable fishing limits and is increasingly used in risk assessments. We previously showed how the rmax of rays and skates (subclass Batoidea) scales with adult body size, temperature (and hence depth) such that smaller-bodied species and those in warmer, shallower waters have greater rmax and, therefore, will be less sensitive to overexploitation. Paradoxically however, warm shallow-water tropical rays have lower rmax than cold deepwater temperate skates, contra to the expectation from metabolic scaling theory. To resolve this paradox, we examine how rmax is related to adult and offspring size (while accounting for temperature and depth) across 85 ray and skate species. Offspring size mediates relationships between rmax, adult body size, temperature and depth. Despite inhabiting warmer, shallower waters, tropical rays generally have larger offspring and lower rmax compared to temperate skates. Our result explains why tropical rays are less resilient to overfishing despite expectations from metabolic theory that tropical species should have faster life histories and therefore higher rmax and greater resilience than temperate species. Although the drivers of large offspring size in tropical rays remain uncertain, we use basic models of temperature- and size-dependent predation to hypothesise that this is due to greater predation risk in shallow tropical waters selecting for increased maternal investment in offspring size via evolution in viviparity and matrotrophy. Our work highlights the complex relationships among life histories and the environment and may help explain global biogeographic patterns of intrinsic sensitivity to exploitation.


Publication metadata

Author(s): Barrowclift E, Bigman JS, Digel ED, Berggren P, Dulvy NK

Publication type: Article

Publication status: Published

Journal: Fish and Fisheries

Year: 2026

Pages: Epub ahead of print

Online publication date: 12/05/2026

Acceptance date: 16/04/2026

Date deposited: 26/05/2026

ISSN (print): 1467-2960

ISSN (electronic): 1467-2979

Publisher: John Wiley and Sons Inc.

URL: https://doi.org/10.1111/faf.70091

DOI: 10.1111/faf.70091

Data Access Statement: The datasets supporting this article are available at FigShare (DOI: https://doi.org/10.6084/m9.figshare.20182109). The R code to reproduce these analyses will be available at Github (https://github.com/EBarrowclift/batoid-rmax-offspring-scaling).


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Funding

Funder referenceFunder name
Canada Excellence Research Chairs, Government of Canada. Grant Number: 1228186
National Science Foundation. Grant Number: 2109411
Natural Environment Research Council. Grant Number: 2284959
Natural Sciences and Engineering Research Council of Canada. Grant Numbers: 5013566, 462291
UK Research and Innovation Mitacs Globalink. Grant Number: NE/T014555/1

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