Cargando…
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,...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660215/ https://www.ncbi.nlm.nih.gov/pubmed/29079758 http://dx.doi.org/10.1038/s41598-017-14705-1 |
_version_ | 1783274256720723968 |
---|---|
author | Aquino, Tomás Roche, Kevin R. Aubeneau, Antoine Packman, Aaron I. Bolster, Diogo |
author_facet | Aquino, Tomás Roche, Kevin R. Aubeneau, Antoine Packman, Aaron I. Bolster, Diogo |
author_sort | Aquino, Tomás |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-5660215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56602152017-11-01 A Process-Based Model for Bioturbation-Induced Mixing Aquino, Tomás Roche, Kevin R. Aubeneau, Antoine Packman, Aaron I. Bolster, Diogo Sci Rep Article 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. Nature Publishing Group UK 2017-10-27 /pmc/articles/PMC5660215/ /pubmed/29079758 http://dx.doi.org/10.1038/s41598-017-14705-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Aquino, Tomás Roche, Kevin R. Aubeneau, Antoine Packman, Aaron I. Bolster, Diogo A Process-Based Model for Bioturbation-Induced Mixing |
title | 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_short | A Process-Based Model for Bioturbation-Induced Mixing |
title_sort | process-based model for bioturbation-induced mixing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660215/ https://www.ncbi.nlm.nih.gov/pubmed/29079758 http://dx.doi.org/10.1038/s41598-017-14705-1 |
work_keys_str_mv | AT aquinotomas aprocessbasedmodelforbioturbationinducedmixing AT rochekevinr aprocessbasedmodelforbioturbationinducedmixing AT aubeneauantoine aprocessbasedmodelforbioturbationinducedmixing AT packmanaaroni aprocessbasedmodelforbioturbationinducedmixing AT bolsterdiogo aprocessbasedmodelforbioturbationinducedmixing AT aquinotomas processbasedmodelforbioturbationinducedmixing AT rochekevinr processbasedmodelforbioturbationinducedmixing AT aubeneauantoine processbasedmodelforbioturbationinducedmixing AT packmanaaroni processbasedmodelforbioturbationinducedmixing AT bolsterdiogo processbasedmodelforbioturbationinducedmixing |