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, 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).

Saved in:
Bibliographic Details
Main Authors: Aquino, Tomás, Roche, Kevin R., Aubeneau, Antoine F., Packman, Aaron Ian, Bolster, Diogo T.
Format: artículo biblioteca
Language:English
Published: Springer Nature 2017-12-01
Subjects:Bioturbation, Sediments, Overlying water,
Online Access:http://hdl.handle.net/10261/174375
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-idaea-es-10261-174375
record_format koha
spelling dig-idaea-es-10261-1743752021-12-27T16:11:27Z A Process-Based Model for Bioturbation-Induced Mixing Aquino, Tomás Roche, Kevin R. Aubeneau, Antoine F. Packman, Aaron Ian Bolster, Diogo T. Bioturbation Sediments Overlying water 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). 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 reviewed 2019-01-21T07:30:51Z 2019-01-21T07:30:51Z 2017-12-01 artículo http://purl.org/coar/resource_type/c_6501 Scientific Reports 7 (1): 14287 (2017) http://hdl.handle.net/10261/174375 10.1038/s41598-017-14705-1 29079758 en Publisher's version https://doi.org/10.1038/s41598-017-14705-1 Sí open Springer Nature
institution IDAEA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-idaea-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IDAEA España
language English
topic Bioturbation
Sediments
Overlying water
Bioturbation
Sediments
Overlying water
spellingShingle Bioturbation
Sediments
Overlying water
Bioturbation
Sediments
Overlying water
Aquino, Tomás
Roche, Kevin R.
Aubeneau, Antoine F.
Packman, Aaron Ian
Bolster, Diogo T.
A Process-Based Model for Bioturbation-Induced Mixing
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).
format artículo
topic_facet Bioturbation
Sediments
Overlying water
author Aquino, Tomás
Roche, Kevin R.
Aubeneau, Antoine F.
Packman, Aaron Ian
Bolster, Diogo T.
author_facet Aquino, Tomás
Roche, Kevin R.
Aubeneau, Antoine F.
Packman, Aaron Ian
Bolster, Diogo T.
author_sort Aquino, Tomás
title A Process-Based Model for Bioturbation-Induced Mixing
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 process-based model for bioturbation-induced mixing
publisher Springer Nature
publishDate 2017-12-01
url http://hdl.handle.net/10261/174375
work_keys_str_mv AT aquinotomas aprocessbasedmodelforbioturbationinducedmixing
AT rochekevinr aprocessbasedmodelforbioturbationinducedmixing
AT aubeneauantoinef aprocessbasedmodelforbioturbationinducedmixing
AT packmanaaronian aprocessbasedmodelforbioturbationinducedmixing
AT bolsterdiogot aprocessbasedmodelforbioturbationinducedmixing
AT aquinotomas processbasedmodelforbioturbationinducedmixing
AT rochekevinr processbasedmodelforbioturbationinducedmixing
AT aubeneauantoinef processbasedmodelforbioturbationinducedmixing
AT packmanaaronian processbasedmodelforbioturbationinducedmixing
AT bolsterdiogot processbasedmodelforbioturbationinducedmixing
_version_ 1777669310510006272