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Integral projection model results of the planktonic foraminifer Trilobatus sacculifer

Integral projection model results of the planktonic foraminifer Trilobatus sacculifer
Integral projection model results of the planktonic foraminifer Trilobatus sacculifer
R is required to open the Supplementary Code,Developmental plasticity, where traits change state in response to environmental cues, is well-studied in modern populations. It is also suspected to play a role in macroevolutionary dynamics, but due to a lack of long-term records the frequency of plasticity-led evolution in deep time remains unknown. Populations are dynamic entities, yet their representation in the fossil record is a static snapshot of often isolated individuals. Here, we apply for the first time contemporary integral projection models (IPMs) to fossil data to link individual development with expected population variation. IPMs describe the effects of individual growth in discrete steps on long-term population dynamics. We parameterize the models using modern and fossil data of the planktonic foraminifer Trilobatus sacculifer. Foraminifera grow by adding chambers in discrete stages and die at reproduction, making them excellent case studies for IPMs. Our results predict that somatic growth rates have almost twice as much influence on population dynamics than survival and more than eight times more influence than reproduction, suggesting that selection would primarily target somatic growth as the major determinant of fitness. As numerous palaeobiological systems record growth rate increments in single genetic individuals, and imaging technologies are increasingly available, our results open up the possibility of evidence-based inference of developmental plasticity spanning macroevolutionary dynamics. Given the centrality of ecology in palaeobiological thinking, our model is one approach to help bridge eco-evolutionary scales while directing attention towards the most relevant life-history traits to measure.
DRYAD
Brombacher, Anieke
2a4bbb84-4743-4a36-973b-4ad2bf743154
Schmidt, Daniela
86a34245-7197-4ad2-984c-40374fe00b60
Ezard, Thomas
a143a893-07d0-4673-a2dd-cea2cd7e1374
Brombacher, Anieke
2a4bbb84-4743-4a36-973b-4ad2bf743154
Schmidt, Daniela
86a34245-7197-4ad2-984c-40374fe00b60
Ezard, Thomas
a143a893-07d0-4673-a2dd-cea2cd7e1374

(2022) Integral projection model results of the planktonic foraminifer Trilobatus sacculifer. DRYAD doi:10.5061/dryad.t1g1jwt53 [Dataset]

Record type: Dataset

Abstract

R is required to open the Supplementary Code,Developmental plasticity, where traits change state in response to environmental cues, is well-studied in modern populations. It is also suspected to play a role in macroevolutionary dynamics, but due to a lack of long-term records the frequency of plasticity-led evolution in deep time remains unknown. Populations are dynamic entities, yet their representation in the fossil record is a static snapshot of often isolated individuals. Here, we apply for the first time contemporary integral projection models (IPMs) to fossil data to link individual development with expected population variation. IPMs describe the effects of individual growth in discrete steps on long-term population dynamics. We parameterize the models using modern and fossil data of the planktonic foraminifer Trilobatus sacculifer. Foraminifera grow by adding chambers in discrete stages and die at reproduction, making them excellent case studies for IPMs. Our results predict that somatic growth rates have almost twice as much influence on population dynamics than survival and more than eight times more influence than reproduction, suggesting that selection would primarily target somatic growth as the major determinant of fitness. As numerous palaeobiological systems record growth rate increments in single genetic individuals, and imaging technologies are increasingly available, our results open up the possibility of evidence-based inference of developmental plasticity spanning macroevolutionary dynamics. Given the centrality of ecology in palaeobiological thinking, our model is one approach to help bridge eco-evolutionary scales while directing attention towards the most relevant life-history traits to measure.

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More information

Published date: 2022

Identifiers

Local EPrints ID: 471845
URI: http://eprints.soton.ac.uk/id/eprint/471845
PURE UUID: 81a68815-d8df-4ad4-b9cb-0bdd5deba77c
ORCID for Anieke Brombacher: ORCID iD orcid.org/0000-0003-2310-047X
ORCID for Thomas Ezard: ORCID iD orcid.org/0000-0001-8305-6605

Catalogue record

Date deposited: 21 Nov 2022 17:56
Last modified: 13 Jan 2023 02:52

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Contributors

Contributor: Anieke Brombacher ORCID iD
Contributor: Daniela Schmidt
Contributor: Thomas Ezard ORCID iD

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