Temporal Patterns and Environmental Correlates of Macroinvertebrate Communities in Temporary Streams
Identifieur interne : 000613 ( Ncbi/Merge ); précédent : 000612; suivant : 000614Temporal Patterns and Environmental Correlates of Macroinvertebrate Communities in Temporary Streams
Auteurs : Paul K. Botwe [Australie] ; Leon A. Barmuta [Australie] ; Regina Magierowski [Australie] ; Paul Mcevoy [Australie] ; Peter Goonan [Australie] ; Scott Carver [Australie]Source :
- PLoS ONE [ 1932-6203 ] ; 2015.
Abstract
Temporary streams are characterised by short periods of seasonal or annual stream flow after which streams contract into waterholes or pools of varying hydrological connectivity and permanence. Although these streams are widespread globally, temporal variability of their ecology is understudied, and understanding the processes that structure community composition in these systems is vital for predicting and managing the consequences of anthropogenic impacts. We used multivariate and univariate approaches to investigate temporal variability in macroinvertebrate compositional data from 13 years of sampling across multiple sites from autumn and spring, in South Australia, the driest state in the driest inhabited continent in the world. We examined the potential of land-use, geographic and environmental variables to predict the temporal variability in macroinvertebrate assemblages, and also identified indicator taxa, that is, those highly correlated with the most significantly associated physical variables. Temporal trajectories of macroinvertebrate communities varied within site in both seasons and across years. A combination of land-use, geographic and environmental variables accounted for 24% of the variation in community structure in autumn and 27% in spring. In autumn, community composition among sites were more closely clustered together relative to spring suggesting that communities were more similar in autumn than in spring. In both seasons, community structure was most strongly correlated with conductivity and latitude, and community structure was more associated with cover by agriculture than urban land-use. Maintaining temporary streams will require improved catchment management aimed at sustaining seasonal flows and critical refuge habitats, while also limiting the damaging effects from increased agriculture and urban developments.
Url:
DOI: 10.1371/journal.pone.0142370
PubMed: 26556711
PubMed Central: 4640519
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<front><div type="abstract" xml:lang="en"><p>Temporary streams are characterised by short periods of seasonal or annual stream flow after which streams contract into waterholes or pools of varying hydrological connectivity and permanence. Although these streams are widespread globally, temporal variability of their ecology is understudied, and understanding the processes that structure community composition in these systems is vital for predicting and managing the consequences of anthropogenic impacts. We used multivariate and univariate approaches to investigate temporal variability in macroinvertebrate compositional data from 13 years of sampling across multiple sites from autumn and spring, in South Australia, the driest state in the driest inhabited continent in the world. We examined the potential of land-use, geographic and environmental variables to predict the temporal variability in macroinvertebrate assemblages, and also identified indicator taxa, that is, those highly correlated with the most significantly associated physical variables. Temporal trajectories of macroinvertebrate communities varied within site in both seasons and across years. A combination of land-use, geographic and environmental variables accounted for 24% of the variation in community structure in autumn and 27% in spring. In autumn, community composition among sites were more closely clustered together relative to spring suggesting that communities were more similar in autumn than in spring. In both seasons, community structure was most strongly correlated with conductivity and latitude, and community structure was more associated with cover by agriculture than urban land-use. Maintaining temporary streams will require improved catchment management aimed at sustaining seasonal flows and critical refuge habitats, while also limiting the damaging effects from increased agriculture and urban developments.</p>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group><journal-title>PLoS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher><publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">26556711</article-id>
<article-id pub-id-type="pmc">4640519</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0142370</article-id>
<article-id pub-id-type="publisher-id">PONE-D-15-22223</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Temporal Patterns and Environmental Correlates of Macroinvertebrate Communities in Temporary Streams</article-title>
<alt-title alt-title-type="running-head">Temporal Patterns in Stream Macroinvertebrate Communities</alt-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Botwe</surname>
<given-names>Paul K.</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup>
</xref>
<xref rid="cor001" ref-type="corresp">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Barmuta</surname>
<given-names>Leon A.</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Magierowski</surname>
<given-names>Regina</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>McEvoy</surname>
<given-names>Paul</given-names>
</name>
<xref ref-type="aff" rid="aff003"><sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Goonan</surname>
<given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff004"><sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Carver</surname>
<given-names>Scott</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label>
<addr-line>School of Biological Sciences, University of Tasmania, Hobart, Tasmania, Australia</addr-line>
</aff>
<aff id="aff002"><label>2</label>
<addr-line>Department of Ecology, Environment and Evolution, La Trobe University, Melbourne, Victoria, Australia</addr-line>
</aff>
<aff id="aff003"><label>3</label>
<addr-line>Department of Environment, Water and Natural Resources, Adelaide, South Australia, Australia</addr-line>
</aff>
<aff id="aff004"><label>4</label>
<addr-line>South Australia Environment Protection Authority, Adelaide, South Australia, Australia</addr-line>
</aff>
<contrib-group><contrib contrib-type="editor"><name><surname>Larsen</surname>
<given-names>Peter E.</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>Argonne National Lab, UNITED STATES</addr-line>
</aff>
<author-notes><fn fn-type="conflict" id="coi001"><p><bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con" id="contrib001"><p>Conceived and designed the experiments: PKB SC LAB RM. Performed the experiments: PG PM. Analyzed the data: PKB RM LAB SC. Contributed reagents/materials/analysis tools: PG PM. Wrote the paper: PKB SC LAB RM PG PM.</p>
</fn>
<corresp id="cor001">* E-mail: <email>Paul.Botwe@utas.edu.au</email>
</corresp>
</author-notes>
<pub-date pub-type="epub"><day>10</day>
<month>11</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection"><year>2015</year>
</pub-date>
<volume>10</volume>
<issue>11</issue>
<elocation-id>e0142370</elocation-id>
<history><date date-type="received"><day>21</day>
<month>5</month>
<year>2015</year>
</date>
<date date-type="accepted"><day>21</day>
<month>10</month>
<year>2015</year>
</date>
</history>
<permissions><copyright-year>2015</copyright-year>
<copyright-holder>Botwe et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0142370.pdf"></self-uri>
<abstract><p>Temporary streams are characterised by short periods of seasonal or annual stream flow after which streams contract into waterholes or pools of varying hydrological connectivity and permanence. Although these streams are widespread globally, temporal variability of their ecology is understudied, and understanding the processes that structure community composition in these systems is vital for predicting and managing the consequences of anthropogenic impacts. We used multivariate and univariate approaches to investigate temporal variability in macroinvertebrate compositional data from 13 years of sampling across multiple sites from autumn and spring, in South Australia, the driest state in the driest inhabited continent in the world. We examined the potential of land-use, geographic and environmental variables to predict the temporal variability in macroinvertebrate assemblages, and also identified indicator taxa, that is, those highly correlated with the most significantly associated physical variables. Temporal trajectories of macroinvertebrate communities varied within site in both seasons and across years. A combination of land-use, geographic and environmental variables accounted for 24% of the variation in community structure in autumn and 27% in spring. In autumn, community composition among sites were more closely clustered together relative to spring suggesting that communities were more similar in autumn than in spring. In both seasons, community structure was most strongly correlated with conductivity and latitude, and community structure was more associated with cover by agriculture than urban land-use. Maintaining temporary streams will require improved catchment management aimed at sustaining seasonal flows and critical refuge habitats, while also limiting the damaging effects from increased agriculture and urban developments.</p>
</abstract>
<funding-group><funding-statement>Holsworth Wildlife Research Endowment (<ext-link ext-link-type="uri" xlink:href="http://www.eqt.com.au/not-for-profit-organisations/confirmed-2015-programs/holsworth-grants.aspx">http://www.eqt.com.au/not-for-profit-organisations/confirmed-2015-programs/holsworth-grants.aspx</ext-link>
) funded this research. PKB received this funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts><fig-count count="4"></fig-count>
<table-count count="6"></table-count>
<page-count count="19"></page-count>
</counts>
<custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name>
<meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes><title>Data Availability</title>
<p>All relevant data are within the paper and its Supporting Information files.</p>
</notes>
</front>
</pmc>
<affiliations><list><country><li>Australie</li>
</country>
</list>
<tree><country name="Australie"><noRegion><name sortKey="Botwe, Paul K" sort="Botwe, Paul K" uniqKey="Botwe P" first="Paul K." last="Botwe">Paul K. Botwe</name>
</noRegion>
<name sortKey="Barmuta, Leon A" sort="Barmuta, Leon A" uniqKey="Barmuta L" first="Leon A." last="Barmuta">Leon A. Barmuta</name>
<name sortKey="Carver, Scott" sort="Carver, Scott" uniqKey="Carver S" first="Scott" last="Carver">Scott Carver</name>
<name sortKey="Goonan, Peter" sort="Goonan, Peter" uniqKey="Goonan P" first="Peter" last="Goonan">Peter Goonan</name>
<name sortKey="Magierowski, Regina" sort="Magierowski, Regina" uniqKey="Magierowski R" first="Regina" last="Magierowski">Regina Magierowski</name>
<name sortKey="Magierowski, Regina" sort="Magierowski, Regina" uniqKey="Magierowski R" first="Regina" last="Magierowski">Regina Magierowski</name>
<name sortKey="Mcevoy, Paul" sort="Mcevoy, Paul" uniqKey="Mcevoy P" first="Paul" last="Mcevoy">Paul Mcevoy</name>
</country>
</tree>
</affiliations>
</record>
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