A Process-Based Model for Bioturbation-Induced Mixing

Bioturbation refers to the transport processes carried out by living organisms and their physical effects on soils and sediments. It is widely recognized as an important mixing mechanism, particularly at the sediment-water interface in many natural systems. In order to quantify its impact on mixing,...

Full description

Bibliographic Details
Authors: Aquino, Tomás, Roche, Kevin R., Aubeneau, Antoine F., Packman, Aaron I., Bolster, Diogo T.
Format: article
Status:Published version
Publication Date:2017
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/174375
Online Access:http://hdl.handle.net/10261/174375
Access Level:Open access
Keyword:Bioturbation
Sediments
Overlying water
id ES_95805fd9c19fe5bc90c01682880b1bde
oai_identifier_str oai:digital.csic.es:10261/174375
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Process-Based Model for Bioturbation-Induced MixingAquino, TomásRoche, Kevin R.Aubeneau, Antoine F.Packman, Aaron I.Bolster, Diogo T.BioturbationSedimentsOverlying waterBioturbation refers to the transport processes carried out by living organisms and their physical effects on soils and sediments. It is widely recognized as an important mixing mechanism, particularly at the sediment-water interface in many natural systems. In order to quantify its impact on mixing, we propose a process-based model based on simple assumptions about organism burrowing behavior. Specifically, we consider burrowing events to be stochastic but memoryless, leading to exponential inter-burrow waiting times and depths. We then explore the impact of two different transport mechanisms on the vertical concentration distributions predicted by the model for a conservative (inert) tracer. We compare the results of our model to experimental data from a recent laboratory study of bioturbation by the freshwater oligochaete worm Lumbriculus variegatus, and find good quantitative agreement. © 2017 The Author(s).T.A. gratefully acknowledges support by the Portuguese Foundation for Science and Technology (FCT) under Grant SFRH/BD/89488/2012. K.R.R. was supported by a NSF Graduate Research Fellowship. D.B. gratefully acknowledges support from NSF grant numbers EAR-1351625, EAR-1417264, and EAR-1446236. The authors would also like to thank Dr. Filip Meysman and Dr. Bernard Boudreau for valuable comments and suggestions.Peer reviewedSpringer NatureConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/174375reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1038/s41598-017-14705-1Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1743752026-05-22T06:33:51Z
dc.title.none.fl_str_mv A Process-Based Model for Bioturbation-Induced Mixing
title A Process-Based Model for Bioturbation-Induced Mixing
spellingShingle A Process-Based Model for Bioturbation-Induced Mixing
Aquino, Tomás
Bioturbation
Sediments
Overlying water
title_short A Process-Based Model for Bioturbation-Induced Mixing
title_full A Process-Based Model for Bioturbation-Induced Mixing
title_fullStr A Process-Based Model for Bioturbation-Induced Mixing
title_full_unstemmed A Process-Based Model for Bioturbation-Induced Mixing
title_sort A Process-Based Model for Bioturbation-Induced Mixing
dc.creator.none.fl_str_mv Aquino, Tomás
Roche, Kevin R.
Aubeneau, Antoine F.
Packman, Aaron I.
Bolster, Diogo T.
author Aquino, Tomás
author_facet Aquino, Tomás
Roche, Kevin R.
Aubeneau, Antoine F.
Packman, Aaron I.
Bolster, Diogo T.
author_role author
author2 Roche, Kevin R.
Aubeneau, Antoine F.
Packman, Aaron I.
Bolster, Diogo T.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Bioturbation
Sediments
Overlying water
topic Bioturbation
Sediments
Overlying water
description Bioturbation refers to the transport processes carried out by living organisms and their physical effects on soils and sediments. It is widely recognized as an important mixing mechanism, particularly at the sediment-water interface in many natural systems. In order to quantify its impact on mixing, we propose a process-based model based on simple assumptions about organism burrowing behavior. Specifically, we consider burrowing events to be stochastic but memoryless, leading to exponential inter-burrow waiting times and depths. We then explore the impact of two different transport mechanisms on the vertical concentration distributions predicted by the model for a conservative (inert) tracer. We compare the results of our model to experimental data from a recent laboratory study of bioturbation by the freshwater oligochaete worm Lumbriculus variegatus, and find good quantitative agreement. © 2017 The Author(s).
publishDate 2017
dc.date.none.fl_str_mv 2017
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/174375
url http://hdl.handle.net/10261/174375
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1038/s41598-017-14705-1
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869413827556147200
score 15.81155

Similar Items