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Bioturbation and Porosity Gradients
Ubiquitous porosity gradients have a potentially important effect on the mixing of particle-bound tracers, such and210Pb. Mass-depth coordinates cannot be used to deal with these effects if values of the traditional mixing coefficient, DB, are required. This paper compares and evaluates three differ...
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Published in: | Limnology and oceanography 1998-01, Vol.43 (1), p.1-9 |
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container_title | Limnology and oceanography |
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creator | Mulsow, Sandor Boudreau, Bernard P. Smith, John N. |
description | Ubiquitous porosity gradients have a potentially important effect on the mixing of particle-bound tracers, such and210Pb. Mass-depth coordinates cannot be used to deal with these effects if values of the traditional mixing coefficient, DB, are required. This paper compares and evaluates three different means of dealing directly with porosity gradients while modeling bioturbation, i.e. mean constant porosity, interphase mixing (porosity mixed), and intraphase mixing (porosity not mixed). We apply these models to 11 different210Pbprofiles collected at various depths and times on the eastern Canadian Margin. A statistical analysis of the resulting best fits shows that these models produce equivalent mixing coefficient values for 55% of the profiles. For the remaining 45% of the profiles, the interphase mixing model predicts the existence of well-mixed near-surface zones on the time scale of210Pbdecay, a phenomenon not predicted by the other models. Unfortunately, our tracer dataset by itself cannot be used to establish which mixing mode is actually operative at each station. |
doi_str_mv | 10.4319/lo.1998.43.1.0001 |
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Mass-depth coordinates cannot be used to deal with these effects if values of the traditional mixing coefficient, DB, are required. This paper compares and evaluates three different means of dealing directly with porosity gradients while modeling bioturbation, i.e. mean constant porosity, interphase mixing (porosity mixed), and intraphase mixing (porosity not mixed). We apply these models to 11 different210Pbprofiles collected at various depths and times on the eastern Canadian Margin. A statistical analysis of the resulting best fits shows that these models produce equivalent mixing coefficient values for 55% of the profiles. For the remaining 45% of the profiles, the interphase mixing model predicts the existence of well-mixed near-surface zones on the time scale of210Pbdecay, a phenomenon not predicted by the other models. Unfortunately, our tracer dataset by itself cannot be used to establish which mixing mode is actually operative at each station.</description><identifier>ISSN: 0024-3590</identifier><identifier>EISSN: 1939-5590</identifier><identifier>DOI: 10.4319/lo.1998.43.1.0001</identifier><identifier>CODEN: LIOCAH</identifier><language>eng</language><publisher>Waco, TX: American Society of Limnology and Oceanography</publisher><subject>Animal, plant and microbial ecology ; Biological and medical sciences ; Bioturbation ; Coefficients ; Fundamental and applied biological sciences. Psychology ; General aspects. 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Mass-depth coordinates cannot be used to deal with these effects if values of the traditional mixing coefficient, DB, are required. This paper compares and evaluates three different means of dealing directly with porosity gradients while modeling bioturbation, i.e. mean constant porosity, interphase mixing (porosity mixed), and intraphase mixing (porosity not mixed). We apply these models to 11 different210Pbprofiles collected at various depths and times on the eastern Canadian Margin. A statistical analysis of the resulting best fits shows that these models produce equivalent mixing coefficient values for 55% of the profiles. For the remaining 45% of the profiles, the interphase mixing model predicts the existence of well-mixed near-surface zones on the time scale of210Pbdecay, a phenomenon not predicted by the other models. 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Techniques</subject><subject>Interphase</subject><subject>Material concentration</subject><subject>Mathematical constants</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Modeling</subject><subject>Porosity</subject><subject>Sediments</subject><subject>Summer</subject><subject>Winter</subject><issn>0024-3590</issn><issn>1939-5590</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNpFzk1Lw0AQBuBFFIzVHyB4CCjeEnf2I9k5atEqFPSg5zD5gi1ptu5uDv33prTgaeZlHl6GsVvguZKAT4PLAdHMIYeccw5nLAGUmGmN_JwlnAuVyXm_ZFchbGaBWuuE3b9YFydfU7RuTGls0y_nXbBxn648tbYbY7hmFz0Nobs5zQX7eXv9Xr5n68_Vx_J5nREYjBlqIUigwhoUgq5NUWqUhUQArVvSZY19AaLujQLRC9EpULIpSdSqAKV7uWCPx96dd79TF2K1taHphoHGzk2hgmJ-GQuc4cMJUmho6D2NjQ3Vztst-X0lJMeyPLC7I9uE6Pz_2UiDUso_LtlW9A</recordid><startdate>19980101</startdate><enddate>19980101</enddate><creator>Mulsow, Sandor</creator><creator>Boudreau, Bernard P.</creator><creator>Smith, John N.</creator><general>American Society of Limnology and Oceanography</general><scope>IQODW</scope><scope>7TN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>H96</scope><scope>L.G</scope></search><sort><creationdate>19980101</creationdate><title>Bioturbation and Porosity Gradients</title><author>Mulsow, Sandor ; Boudreau, Bernard P. ; Smith, John N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a189t-9522a2949b14915b8675936391155da57b9f612bf8412f22e4143c7a2b46145f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Bioturbation</topic><topic>Coefficients</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Interphase</topic><topic>Material concentration</topic><topic>Mathematical constants</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Modeling</topic><topic>Porosity</topic><topic>Sediments</topic><topic>Summer</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mulsow, Sandor</creatorcontrib><creatorcontrib>Boudreau, Bernard P.</creatorcontrib><creatorcontrib>Smith, John N.</creatorcontrib><collection>Pascal-Francis</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Limnology and oceanography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mulsow, Sandor</au><au>Boudreau, Bernard P.</au><au>Smith, John N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bioturbation and Porosity Gradients</atitle><jtitle>Limnology and oceanography</jtitle><date>1998-01-01</date><risdate>1998</risdate><volume>43</volume><issue>1</issue><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>0024-3590</issn><eissn>1939-5590</eissn><coden>LIOCAH</coden><abstract>Ubiquitous porosity gradients have a potentially important effect on the mixing of particle-bound tracers, such and210Pb. Mass-depth coordinates cannot be used to deal with these effects if values of the traditional mixing coefficient, DB, are required. This paper compares and evaluates three different means of dealing directly with porosity gradients while modeling bioturbation, i.e. mean constant porosity, interphase mixing (porosity mixed), and intraphase mixing (porosity not mixed). We apply these models to 11 different210Pbprofiles collected at various depths and times on the eastern Canadian Margin. A statistical analysis of the resulting best fits shows that these models produce equivalent mixing coefficient values for 55% of the profiles. For the remaining 45% of the profiles, the interphase mixing model predicts the existence of well-mixed near-surface zones on the time scale of210Pbdecay, a phenomenon not predicted by the other models. 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subjects | Animal, plant and microbial ecology Biological and medical sciences Bioturbation Coefficients Fundamental and applied biological sciences. Psychology General aspects. Techniques Interphase Material concentration Mathematical constants Methods and techniques (sampling, tagging, trapping, modelling...) Modeling Porosity Sediments Summer Winter |
title | Bioturbation and Porosity Gradients |
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