Abstract

A major premise of ecological neutral theory is that population size is inversely related to extinction risk. This idea is central to modern biodiversity conservation efforts, which often rely on abundance metrics to partially determine species extinction risk. However, limited empirical studies have tested whether extinction is indeed more probable for species with low abundances. Here we use the fossil record of Neogene radiolaria to test the relationship between relative abundance and longevity (time from first to last occurrence). Our dataset includes abundance histories for 189 polycystine radiolarian species from the Southern Ocean, and 101 species from the tropical Pacific. Using linear regression analyses, we show that neither maximum nor average relative abundance are significant predictors of longevity in either oceanographic region. This suggests that neutral theory fails to explain the plankton ecological-evolutionary dynamics we observe. Extrinsic factors are likely more important than neutral dynamics in controlling radiolarian extinction.

Abundance or rarity of species in the fossil record, contrary to expectation of neutral theory, does not predict their longevity in ocean ecosystems.

Details

Title
Abundance does not predict extinction risk in the fossil record of marine plankton
Author
Trubovitz, Sarah 1   VIAFID ORCID Logo  ; Renaudie, Johan 2   VIAFID ORCID Logo  ; Lazarus, David 2 ; Noble, Paula J. 3   VIAFID ORCID Logo 

 University of Nevada - Reno, Department of Geological Sciences & Engineering, Reno, USA (GRID:grid.266818.3) (ISNI:0000 0004 1936 914X); University of Southern California, Department of Biological Sciences, Los Angeles, USA (GRID:grid.42505.36) (ISNI:0000 0001 2156 6853) 
 Museum für Naturkunde, Leibniz-Institut für Evolutions-und Biodiversitätsforschung, Berlin, Germany (GRID:grid.422371.1) (ISNI:0000 0001 2293 9957) 
 University of Nevada - Reno, Department of Geological Sciences & Engineering, Reno, USA (GRID:grid.266818.3) (ISNI:0000 0004 1936 914X) 
Pages
554
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
23993642
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2817277619
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.