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Life span bias explains live–dead discordance in abundance of two common bivalves

Published online by Cambridge University Press:  04 December 2018

Kelly E. Cronin
Affiliation:
Department of Geology, 201 Field Street, University of Georgia, Athens, Georgia 30602, U.S.A. E-mail: [email protected]
Gregory P. Dietl
Affiliation:
Paleontological Research Institution, 1259 Trumansburg Road, Ithaca, New York 14850, U.S.A.; and Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, New York 14853, U.S.A. E-mail: [email protected]
Patricia H. Kelley
Affiliation:
Department of Earth and Ocean Sciences, 601 South College Road, University of North Carolina Wilmington, Wilmington, North Carolina 28403-5944, U.S.A. E-mail: [email protected]
Stewart M. Edie
Affiliation:
Department of the Geophysical Sciences, 5734 South Ellis Avenue, University of Chicago, Chicago, Illinois 60637, U.S.A. E-mail: [email protected]

Abstract

Life span bias potentially alters species abundance in death assemblages through the overrepresentation of short-lived organisms compared with their long-lived counterparts. Although previous work found that life span bias did not contribute significantly to live–dead discordance in bivalve assemblages, life span bias better explained discordance in two groups: longer-lived bivalve species and species with known life spans. More studies using local, rather than global, species-wide life spans and mortality rates would help to determine the prevalence of life span bias, especially for long-lived species with known life spans. Here, we conducted a field study at two sites in North Carolina to assess potential life span bias between Mercenaria mercenaria and Chione elevata, two long-lived bivalve species that can be aged directly. We compared the ability of directly measured local life spans with that of regional and global life spans to predict live–dead discordance between these two species. The shorter-lived species (C. elevata) was overrepresented in the death assemblage compared with its live abundance, and local life span data largely predicted the amount of live–dead discordance; local life spans predicted 43% to 88% of discordance. Furthermore, the global maximum life span for M. mercenaria resulted in substantial overpredictions of discordance (1.4 to 1.6 times the observed live–dead discordance). The results of this study suggest that life span bias should be considered as a factor affecting proportional abundances of species in death assemblages and that using life span estimates appropriate to the study locality improves predictions of discordance based on life span compared with using global life span estimates.

Type
Articles
Copyright
© 2018 The Paleontological Society. All rights reserved 

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References

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