eCite Digital Repository

Relative demographic susceptibility does not explain the extinction chronology of Sahul's megafauna

Citation

Bradshaw, CJA and Johnson, CN and Llewelyn, J and Weisbecker, V and Strona, G and Saltre, F, Relative demographic susceptibility does not explain the extinction chronology of Sahul's megafauna, Elife, 10 Article e63870. ISSN 2050-084X (2021) [Refereed Article]


Preview
PDF (Published version)
33Mb
  

Copyright Statement

Copyright 2021 Bradshaw et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use and redistribution provided that the original author and source are credited.

DOI: doi:10.7554/eLife.63870

Abstract

The causes of Sahul's megafauna extinctions remain uncertain, although several interacting factors were likely responsible. To examine the relative support for hypotheses regarding plausible ecological mechanisms underlying these extinctions, we constructed the first stochastic, age-structured models for 13 extinct megafauna species from five functional/taxonomic groups, as well as 8 extant species within these groups for comparison. Perturbing specific demographic rates individually, we tested which species were more demographically susceptible to extinction, and then compared these relative sensitivities to the fossil-derived extinction chronology. Our models show that the macropodiformes were the least demographically susceptible to extinction, followed by carnivores, monotremes, vombatiform herbivores, and large birds. Five of the eight extant species were as or more susceptible than the extinct species. There was no clear relationship between extinction susceptibility and the extinction chronology for any perturbation scenario, while body mass and generation length explained much of the variation in relative risk. Our results reveal that the actual mechanisms leading to the observed extinction chronology were unlikely related to variation in demographic susceptibility per se, but were possibly driven instead by finer-scale variation in climate change and/or human prey choice and relative hunting success.

Item Details

Item Type:Refereed Article
Keywords:population viability analysis, late quaternary megafauna, life-history, body-size, inferring extinction, confidence-intervals, late Pleistocene, risk, metabolism, Australia
Research Division:Environmental Sciences
Research Group:Environmental management
Research Field:Wildlife and habitat management
Objective Division:Animal Production and Animal Primary Products
Objective Group:Fisheries - wild caught
Objective Field:Fisheries - wild caught not elsewhere classified
UTAS Author:Bradshaw, CJA (Dr Corey Bradshaw)
UTAS Author:Johnson, CN (Professor Christopher Johnson)
ID Code:152228
Year Published:2021
Web of Science® Times Cited:2
Deposited By:Zoology
Deposited On:2022-08-15
Last Modified:2022-09-19
Downloads:1 View Download Statistics

Repository Staff Only: item control page