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Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check

Olga Dubovskaya, Kam Tang Orcid Logo, Michail Gladyshev, Georgiy Kirillin, Zhanna Buseva, Peter Kasprzak, Aleksandr Tolomeev, Hans-Peter Grossart

PLoS ONE, Volume: 10, Issue: 7, Start page: e0131431

Swansea University Author: Kam Tang Orcid Logo

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DOI (Published version): 10.1371/journal.pone.0131431

Published in: PLoS ONE
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa22153
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first_indexed 2015-06-25T02:06:57Z
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2019-05-29T16:14:01.9742256</datestamp><bib-version>v2</bib-version><id>22153</id><entry>2015-06-24</entry><title>Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check</title><swanseaauthors><author><sid>69af43a3b9da24aef65c5d3a44956fe3</sid><ORCID>0000-0001-9427-9564</ORCID><firstname>Kam</firstname><surname>Tang</surname><name>Kam Tang</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-06-24</date><deptcode>SBI</deptcode><abstract></abstract><type>Journal Article</type><journal>PLoS ONE</journal><volume>10</volume><journalNumber>7</journalNumber><paginationStart>e0131431</paginationStart><publisher/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-12-31</publishedDate><doi>10.1371/journal.pone.0131431</doi><url/><notes>Non-predation mortality is often ignored in zooplankton population dynamics models despite frequent observations of non-predation mass mortality of zooplankton, mainly due to methodological difficulty in measuring in situ non-predation mortality rate. In this study we described a sediment trap method in combination with a carcass flux model to estimate in situ non-predation zooplankton mortality. This approach yielded a non-predation mortality rate that was consistent with physiological death rate, and was also consistent with concurrent zooplankton abundance data. The results will improve our understanding of zooplankton population dynamics and related ecological processes.</notes><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2019-05-29T16:14:01.9742256</lastEdited><Created>2015-06-24T15:51:21.7614388</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Olga</firstname><surname>Dubovskaya</surname><order>1</order></author><author><firstname>Kam</firstname><surname>Tang</surname><orcid>0000-0001-9427-9564</orcid><order>2</order></author><author><firstname>Michail</firstname><surname>Gladyshev</surname><order>3</order></author><author><firstname>Georgiy</firstname><surname>Kirillin</surname><order>4</order></author><author><firstname>Zhanna</firstname><surname>Buseva</surname><order>5</order></author><author><firstname>Peter</firstname><surname>Kasprzak</surname><order>6</order></author><author><firstname>Aleksandr</firstname><surname>Tolomeev</surname><order>7</order></author><author><firstname>Hans-Peter</firstname><surname>Grossart</surname><order>8</order></author></authors><documents><document><filename>0022153-07072015121952.pdf</filename><originalFilename>PlosOne10.pdf</originalFilename><uploaded>2015-07-07T12:19:52.5570000</uploaded><type>Output</type><contentLength>983924</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2015-07-07T00:00:00.0000000</embargoDate><documentNotes>Distributed under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)</documentNotes><copyrightCorrect>true</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2019-05-29T16:14:01.9742256 v2 22153 2015-06-24 Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check 69af43a3b9da24aef65c5d3a44956fe3 0000-0001-9427-9564 Kam Tang Kam Tang true false 2015-06-24 SBI Journal Article PLoS ONE 10 7 e0131431 31 12 2015 2015-12-31 10.1371/journal.pone.0131431 Non-predation mortality is often ignored in zooplankton population dynamics models despite frequent observations of non-predation mass mortality of zooplankton, mainly due to methodological difficulty in measuring in situ non-predation mortality rate. In this study we described a sediment trap method in combination with a carcass flux model to estimate in situ non-predation zooplankton mortality. This approach yielded a non-predation mortality rate that was consistent with physiological death rate, and was also consistent with concurrent zooplankton abundance data. The results will improve our understanding of zooplankton population dynamics and related ecological processes. COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2019-05-29T16:14:01.9742256 2015-06-24T15:51:21.7614388 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Olga Dubovskaya 1 Kam Tang 0000-0001-9427-9564 2 Michail Gladyshev 3 Georgiy Kirillin 4 Zhanna Buseva 5 Peter Kasprzak 6 Aleksandr Tolomeev 7 Hans-Peter Grossart 8 0022153-07072015121952.pdf PlosOne10.pdf 2015-07-07T12:19:52.5570000 Output 983924 application/pdf Version of Record true 2015-07-07T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true
title Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check
spellingShingle Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check
Kam Tang
title_short Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check
title_full Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check
title_fullStr Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check
title_full_unstemmed Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check
title_sort Estimating in situ zooplankton non-predation mortality in an oligo-mesotrophic lake from sediment trap data: caveats and reality check
author_id_str_mv 69af43a3b9da24aef65c5d3a44956fe3
author_id_fullname_str_mv 69af43a3b9da24aef65c5d3a44956fe3_***_Kam Tang
author Kam Tang
author2 Olga Dubovskaya
Kam Tang
Michail Gladyshev
Georgiy Kirillin
Zhanna Buseva
Peter Kasprzak
Aleksandr Tolomeev
Hans-Peter Grossart
format Journal article
container_title PLoS ONE
container_volume 10
container_issue 7
container_start_page e0131431
publishDate 2015
institution Swansea University
doi_str_mv 10.1371/journal.pone.0131431
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 1
active_str 0
published_date 2015-12-31T03:26:22Z
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score 11.037603

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