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).
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Springer Nature
2017-12-01
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Subjects: | Bioturbation, Sediments, Overlying water, |
Online Access: | http://hdl.handle.net/10261/174375 |
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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 |
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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 |
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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 |
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