Integration of community structure data reveals observable effects below sediment guideline thresholds in a large estuary

Handle URI:
http://hdl.handle.net/10754/625980
Title:
Integration of community structure data reveals observable effects below sediment guideline thresholds in a large estuary
Authors:
Tremblay, Louis A. ( 0000-0002-3586-3995 ) ; Clark, Dana; Sinner, Jim; Ellis, Joanne ( 0000-0002-2625-4274 )
Abstract:
The sustainable management of estuarine and coastal ecosystems requires robust frameworks due to the presence of multiple physical and chemical stressors. In this study, we assessed whether ecological health decline, based on community structure composition changes along a pollution gradient, occurred at levels below guideline threshold values for copper, zinc and lead. Canonical analysis of principal coordinates (CAP) was used to characterise benthic communities along a metal contamination gradient. The analysis revealed changes in benthic community distribution at levels below the individual guideline values for the three metals. These results suggest that field-based measures of ecological health analysed with multivariate tools can provide additional information to single metal guideline threshold values to monitor large systems exposed to multiple stressors.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division; Red Sea Research Center (RSRC)
Citation:
Tremblay LA, Clark D, Sinner J, Ellis JI (2017) Integration of community structure data reveals observable effects below sediment guideline thresholds in a large estuary. Environ Sci: Processes Impacts 19: 1134–1141. Available: http://dx.doi.org/10.1039/c7em00073a.
Publisher:
Royal Society of Chemistry (RSC)
Journal:
Environ. Sci.: Processes Impacts
Issue Date:
7-Apr-2017
DOI:
10.1039/c7em00073a
Type:
Article
ISSN:
2050-7887; 2050-7895
Sponsors:
This research was funded by a Ministry of Business, Innovation and Employment (MBIE) grant (contract MAUX0907), led by Massey University, with co-funding from the Bay of Plenty Regional Council for data analysis and additional funding from the Cawthron Institute. We greatly appreciate the help we received from various parties while undertaking the ecological survey: the University of Waikato, the Bay of Plenty Regional Council, Manaaki Te Awanui, Waka Digital, and many volunteers. We thank Gretchen Rasch (Cawthron Institute) for editorial comments.
Additional Links:
http://pubs.rsc.org/en/Content/ArticleLanding/2017/EM/C7EM00073A#!divAbstract
Appears in Collections:
Articles; Red Sea Research Center (RSRC); Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorTremblay, Louis A.en
dc.contributor.authorClark, Danaen
dc.contributor.authorSinner, Jimen
dc.contributor.authorEllis, Joanneen
dc.date.accessioned2017-10-30T08:39:48Z-
dc.date.available2017-10-30T08:39:48Z-
dc.date.issued2017-04-07en
dc.identifier.citationTremblay LA, Clark D, Sinner J, Ellis JI (2017) Integration of community structure data reveals observable effects below sediment guideline thresholds in a large estuary. Environ Sci: Processes Impacts 19: 1134–1141. Available: http://dx.doi.org/10.1039/c7em00073a.en
dc.identifier.issn2050-7887en
dc.identifier.issn2050-7895en
dc.identifier.doi10.1039/c7em00073aen
dc.identifier.urihttp://hdl.handle.net/10754/625980-
dc.description.abstractThe sustainable management of estuarine and coastal ecosystems requires robust frameworks due to the presence of multiple physical and chemical stressors. In this study, we assessed whether ecological health decline, based on community structure composition changes along a pollution gradient, occurred at levels below guideline threshold values for copper, zinc and lead. Canonical analysis of principal coordinates (CAP) was used to characterise benthic communities along a metal contamination gradient. The analysis revealed changes in benthic community distribution at levels below the individual guideline values for the three metals. These results suggest that field-based measures of ecological health analysed with multivariate tools can provide additional information to single metal guideline threshold values to monitor large systems exposed to multiple stressors.en
dc.description.sponsorshipThis research was funded by a Ministry of Business, Innovation and Employment (MBIE) grant (contract MAUX0907), led by Massey University, with co-funding from the Bay of Plenty Regional Council for data analysis and additional funding from the Cawthron Institute. We greatly appreciate the help we received from various parties while undertaking the ecological survey: the University of Waikato, the Bay of Plenty Regional Council, Manaaki Te Awanui, Waka Digital, and many volunteers. We thank Gretchen Rasch (Cawthron Institute) for editorial comments.en
dc.publisherRoyal Society of Chemistry (RSC)en
dc.relation.urlhttp://pubs.rsc.org/en/Content/ArticleLanding/2017/EM/C7EM00073A#!divAbstracten
dc.titleIntegration of community structure data reveals observable effects below sediment guideline thresholds in a large estuaryen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.contributor.departmentRed Sea Research Center (RSRC)en
dc.identifier.journalEnviron. Sci.: Processes Impactsen
dc.contributor.institutionSchool of Biological Sciences, University of Auckland, PO Box 92019, Auckland, 1142, , New Zealanden
dc.contributor.institutionCawthron Institute, 98 Halifax Street East, Nelson, 7010, , New Zealanden
kaust.authorEllis, Joanneen
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