Numerical Modeling of Vertical Distribution of Living and Dead Copepods Arctodiaptomus salinus in Salt Lake Shira
In deep stratified lakes, the processes of growth and mortality of zooplankton populations result in uneven vertical distributions of living and dead organisms in a water column. The carcasses in the water are removed by sinking, degradation due to microbial decomposition and detritivory, etc. In th...
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Veröffentlicht in: | Contemporary problems of ecology 2018-11, Vol.11 (6), p.543-550 |
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creator | Tolomeev, A. P. Kirillin, G. Dubovskay, O. P. Buseva, Z. F. Gladyshev, M. I. |
description | In deep stratified lakes, the processes of growth and mortality of zooplankton populations result in uneven vertical distributions of living and dead organisms in a water column. The carcasses in the water are removed by sinking, degradation due to microbial decomposition and detritivory, etc. In the case of the epilimnion maximum of zooplankton, provided that the degradation prevails over the sinking, the downward flux of carcasses exponentially decays with depth. This vertical profile of dead organisms, demonstrating the decline in meta- and hypoliminon, can be described by the numerical model presented in this paper. The model approximation of the field data makes it possible to determine non-predator mortality rate m and degradation rate
D
in relative terms (
m/v
and
D/v
,
v
—sinking velocity) or absolute values (with defined
v
). For the case of the copepod population of
Arctodiaptomus salinus
in Lake Shira, the calculated
m
and
D
(medians of 0.13 and 0.26 day
–1
, respectively) were in a good agreement with the literature data. This method also gives the advantage of using the depth-dependent sinking velocity
v
. |
doi_str_mv | 10.1134/S1995425518060112 |
format | Article |
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D
in relative terms (
m/v
and
D/v
,
v
—sinking velocity) or absolute values (with defined
v
). For the case of the copepod population of
Arctodiaptomus salinus
in Lake Shira, the calculated
m
and
D
(medians of 0.13 and 0.26 day
–1
, respectively) were in a good agreement with the literature data. This method also gives the advantage of using the depth-dependent sinking velocity
v
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D
in relative terms (
m/v
and
D/v
,
v
—sinking velocity) or absolute values (with defined
v
). For the case of the copepod population of
Arctodiaptomus salinus
in Lake Shira, the calculated
m
and
D
(medians of 0.13 and 0.26 day
–1
, respectively) were in a good agreement with the literature data. This method also gives the advantage of using the depth-dependent sinking velocity
v
.</description><subject>Arctodiaptomus</subject><subject>Biomedical and Life Sciences</subject><subject>Carcasses</subject><subject>Degradation</subject><subject>Ecology</subject><subject>Epilimnion</subject><subject>Life Sciences</subject><subject>Mathematical models</subject><subject>Microorganisms</subject><subject>Mortality</subject><subject>Plankton</subject><subject>Salt lakes</subject><subject>Velocity</subject><subject>Vertical distribution</subject><subject>Water column</subject><subject>Zooplankton</subject><issn>1995-4255</issn><issn>1995-4263</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kM1OwzAQhC0EEqXwANwscS54ndhJjlXLnxTgUOAabRynuKRxsB0k3p6EIjggTrPa_WZWGkJOgZ0DRPHFCrJMxFwISJlkAHyPTMbVLOYy2v-ZhTgkR95vGJMiE9GEvN33W-2Mwobe2Uo3pl1TW9Nn7cLXcml8cKbsg7HteMjN-4hgW9GlxooubKc7W3k6dyrYymAX7Lb31OMQNahp6QqbQHN81XT1Yhwek4MaG69PvnVKnq4uHxc3s_zh-nYxz2cqAhlmMuMsFbUoZZwmgCkvlaylriGtFGfAuZBZhMCUrrAuWcmSkiOyhKskjRST0ZSc7XI7Z9967UOxsb1rh5cFB5GlLJMSBgp2lHLWe6fronNmi-6jAFaMzRZ_mh08fOfxA9uutftN_t_0CQbxepM</recordid><startdate>20181101</startdate><enddate>20181101</enddate><creator>Tolomeev, A. 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F. ; Gladyshev, M. I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-692085f5b64871a82bc6f6ef18dc201225693a10cedafb0b07b2aa072c783c063</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Arctodiaptomus</topic><topic>Biomedical and Life Sciences</topic><topic>Carcasses</topic><topic>Degradation</topic><topic>Ecology</topic><topic>Epilimnion</topic><topic>Life Sciences</topic><topic>Mathematical models</topic><topic>Microorganisms</topic><topic>Mortality</topic><topic>Plankton</topic><topic>Salt lakes</topic><topic>Velocity</topic><topic>Vertical distribution</topic><topic>Water column</topic><topic>Zooplankton</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tolomeev, A. P.</creatorcontrib><creatorcontrib>Kirillin, G.</creatorcontrib><creatorcontrib>Dubovskay, O. P.</creatorcontrib><creatorcontrib>Buseva, Z. 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I.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Contemporary problems of ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tolomeev, A. P.</au><au>Kirillin, G.</au><au>Dubovskay, O. P.</au><au>Buseva, Z. F.</au><au>Gladyshev, M. I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical Modeling of Vertical Distribution of Living and Dead Copepods Arctodiaptomus salinus in Salt Lake Shira</atitle><jtitle>Contemporary problems of ecology</jtitle><stitle>Contemp. Probl. Ecol</stitle><date>2018-11-01</date><risdate>2018</risdate><volume>11</volume><issue>6</issue><spage>543</spage><epage>550</epage><pages>543-550</pages><issn>1995-4255</issn><eissn>1995-4263</eissn><abstract>In deep stratified lakes, the processes of growth and mortality of zooplankton populations result in uneven vertical distributions of living and dead organisms in a water column. The carcasses in the water are removed by sinking, degradation due to microbial decomposition and detritivory, etc. In the case of the epilimnion maximum of zooplankton, provided that the degradation prevails over the sinking, the downward flux of carcasses exponentially decays with depth. This vertical profile of dead organisms, demonstrating the decline in meta- and hypoliminon, can be described by the numerical model presented in this paper. The model approximation of the field data makes it possible to determine non-predator mortality rate m and degradation rate
D
in relative terms (
m/v
and
D/v
,
v
—sinking velocity) or absolute values (with defined
v
). For the case of the copepod population of
Arctodiaptomus salinus
in Lake Shira, the calculated
m
and
D
(medians of 0.13 and 0.26 day
–1
, respectively) were in a good agreement with the literature data. This method also gives the advantage of using the depth-dependent sinking velocity
v
.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1995425518060112</doi><tpages>8</tpages></addata></record> |
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subjects | Arctodiaptomus Biomedical and Life Sciences Carcasses Degradation Ecology Epilimnion Life Sciences Mathematical models Microorganisms Mortality Plankton Salt lakes Velocity Vertical distribution Water column Zooplankton |
title | Numerical Modeling of Vertical Distribution of Living and Dead Copepods Arctodiaptomus salinus in Salt Lake Shira |
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