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Modeling durophagous predation and mortality rates from the fossil record of gastropods
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Palaeobiology.ORCID iD: 0000-0001-9007-4369
Univ Leeds, Sch Math, Dept Stat, Leeds LS2 9JT, W Yorkshire, England;Alan Turing Inst, London NW1 2DB, England.
2019 (English)In: Paleobiology, ISSN 0094-8373, E-ISSN 1938-5331, Vol. 45, no 2, p. 246-264Article in journal (Refereed) Published
Abstract [en]

Gastropods often show signs of unsuccessful attacks by durophagous predators in the form of healed scars in their shells. As such, fossil gastropods can be taken as providing a record of predation through geological time. However, interpreting the number of such scars has proved to be problematic-Would a low number of scars mean a low rate of attack or a high rate of success, for example? Here we develop a model of population dynamics among individuals exposed to predation, including both lethal and nonlethal attacks. Using this model, we calculate the equilibrium distributions of ages and healed scars in the population and among fossilized specimens, based on the assumption that predation is independent of age or scar number. Based on these results, we formally show that the rates of attack and success cannot be disambiguated without further information about population structure. Nevertheless, by making the assumptions that the non-durophagous predatory death rate is both constant and low, we show that it is possible to use relatively small assemblages of gastropods to produce accurate estimates of both attack and success rates, if the overall death rate can be estimated. We consider likely violations of the assumptions in our model and what sort of information would be required to solve this problem in these more general cases. However, it is not easy to extract the relevant information from the fossil record: a variety of important biases are likely to intervene to obscure the data that gastropod assemblages may yield. Nonetheless, the model provides a theoretical framework for interpreting summary data, including for comparison between different assemblages.

Place, publisher, year, edition, pages
Cambridge University Press, 2019. Vol. 45, no 2, p. 246-264
National Category
Evolutionary Biology
Identifiers
URN: urn:nbn:se:uu:diva-387555DOI: 10.1017/pab.2019.2ISI: 000466564100003OAI: oai:DiVA.org:uu-387555DiVA, id: diva2:1330489
Funder
Swedish Research Council, 621-2011-4703Available from: 2019-06-25 Created: 2019-06-25 Last updated: 2019-06-25Bibliographically approved

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Budd, Graham E.

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