COMPARISON OF SIMPLE AND MULTIMETRIC DIATOM-BASED INDICES FOR GREAT LAKES COASTLINE DISTURBANCE(1).
Identifieur interne : 000328 ( PubMed/Corpus ); précédent : 000327; suivant : 000329COMPARISON OF SIMPLE AND MULTIMETRIC DIATOM-BASED INDICES FOR GREAT LAKES COASTLINE DISTURBANCE(1).
Auteurs : Euan D. Reavie ; Amy R. Kireta ; John C. Kingston ; Gerald V. Sgro ; Nicholas P. Danz ; Richard P. Axler ; Thomas P. HollenhorstSource :
- Journal of phycology [ 0022-3646 ] ; 2008.
Abstract
Because diatom communities are subject to the prevailing water quality in the Great Lakes coastal environment, diatom-based indices can be used to support coastal-monitoring programs and paleoecological studies. Diatom samples were collected from Great Lakes coastal wetlands, embayments, and high-energy sites (155 sites), and assemblages were characterized to the species level. We defined 42 metrics on the basis of autecological and functional properties of species assemblages, including species diversity, motile species, planktonic species, proportion dominant taxon, taxonomic metrics (e.g., proportion Stephanodiscoid taxa), and diatom-inferred (DI) water quality (e.g., DI chloride [Cl]). Redundant metrics were eliminated, and a diatom-based multimetric index (MMDI) to infer coastline disturbance was developed. Anthropogenic stresses in adjacent coastal watersheds were characterized using geographic information system (GIS) data related to agricultural and urban land cover and atmospheric deposition. Fourteen independent diatom metrics had significant regressions with watershed stressor data; these metrics were selected for inclusion in the MMDI. The final MMDI was developed as the weighted sum of the selected metric scores with weights based on a metric's ability to reflect anthropogenic stressors in the adjacent watersheds. Despite careful development of the multimetric approach, verification using a test set of sites indicated that the MMDI was not able to predict watershed stressors better than some of the component metrics. From this investigation, it was determined that simpler, more traditional diatom-based metrics (e.g., DI Cl, proportion Cl-tolerant species, and DI total phosphorus [TP]) provide superior prediction of overall stressor influence at coastal locales.
DOI: 10.1111/j.1529-8817.2008.00523.x
PubMed: 27041437
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Reavie</name><affiliation><nlm:affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kireta, Amy R" sort="Kireta, Amy R" uniqKey="Kireta A" first="Amy R" last="Kireta">Amy R. Kireta</name><affiliation><nlm:affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Kingston, John C" sort="Kingston, John C" uniqKey="Kingston J" first="John C" last="Kingston">John C. Kingston</name><affiliation><nlm:affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Sgro, Gerald V" sort="Sgro, Gerald V" uniqKey="Sgro G" first="Gerald V" last="Sgro">Gerald V. Sgro</name><affiliation><nlm:affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Danz, Nicholas P" sort="Danz, Nicholas P" uniqKey="Danz N" first="Nicholas P" last="Danz">Nicholas P. Danz</name><affiliation><nlm:affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Axler, Richard P" sort="Axler, Richard P" uniqKey="Axler R" first="Richard P" last="Axler">Richard P. Axler</name><affiliation><nlm:affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Hollenhorst, Thomas P" sort="Hollenhorst, Thomas P" uniqKey="Hollenhorst T" first="Thomas P" last="Hollenhorst">Thomas P. Hollenhorst</name><affiliation><nlm:affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of phycology</title><idno type="ISSN">0022-3646</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Because diatom communities are subject to the prevailing water quality in the Great Lakes coastal environment, diatom-based indices can be used to support coastal-monitoring programs and paleoecological studies. Diatom samples were collected from Great Lakes coastal wetlands, embayments, and high-energy sites (155 sites), and assemblages were characterized to the species level. We defined 42 metrics on the basis of autecological and functional properties of species assemblages, including species diversity, motile species, planktonic species, proportion dominant taxon, taxonomic metrics (e.g., proportion Stephanodiscoid taxa), and diatom-inferred (DI) water quality (e.g., DI chloride [Cl]). Redundant metrics were eliminated, and a diatom-based multimetric index (MMDI) to infer coastline disturbance was developed. Anthropogenic stresses in adjacent coastal watersheds were characterized using geographic information system (GIS) data related to agricultural and urban land cover and atmospheric deposition. Fourteen independent diatom metrics had significant regressions with watershed stressor data; these metrics were selected for inclusion in the MMDI. The final MMDI was developed as the weighted sum of the selected metric scores with weights based on a metric's ability to reflect anthropogenic stressors in the adjacent watersheds. Despite careful development of the multimetric approach, verification using a test set of sites indicated that the MMDI was not able to predict watershed stressors better than some of the component metrics. From this investigation, it was determined that simpler, more traditional diatom-based metrics (e.g., DI Cl, proportion Cl-tolerant species, and DI total phosphorus [TP]) provide superior prediction of overall stressor influence at coastal locales.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">27041437</PMID><DateCreated><Year>2016</Year><Month>04</Month><Day>04</Day></DateCreated><DateCompleted><Year>2016</Year><Month>04</Month><Day>05</Day></DateCompleted><DateRevised><Year>2016</Year><Month>04</Month><Day>04</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0022-3646</ISSN><JournalIssue CitedMedium="Print"><Volume>44</Volume><Issue>3</Issue><PubDate><Year>2008</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Journal of phycology</Title><ISOAbbreviation>J. Phycol.</ISOAbbreviation></Journal><ArticleTitle>COMPARISON OF SIMPLE AND MULTIMETRIC DIATOM-BASED INDICES FOR GREAT LAKES COASTLINE DISTURBANCE(1).</ArticleTitle><Pagination><MedlinePgn>787-802</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/j.1529-8817.2008.00523.x</ELocationID><Abstract><AbstractText>Because diatom communities are subject to the prevailing water quality in the Great Lakes coastal environment, diatom-based indices can be used to support coastal-monitoring programs and paleoecological studies. Diatom samples were collected from Great Lakes coastal wetlands, embayments, and high-energy sites (155 sites), and assemblages were characterized to the species level. We defined 42 metrics on the basis of autecological and functional properties of species assemblages, including species diversity, motile species, planktonic species, proportion dominant taxon, taxonomic metrics (e.g., proportion Stephanodiscoid taxa), and diatom-inferred (DI) water quality (e.g., DI chloride [Cl]). Redundant metrics were eliminated, and a diatom-based multimetric index (MMDI) to infer coastline disturbance was developed. Anthropogenic stresses in adjacent coastal watersheds were characterized using geographic information system (GIS) data related to agricultural and urban land cover and atmospheric deposition. Fourteen independent diatom metrics had significant regressions with watershed stressor data; these metrics were selected for inclusion in the MMDI. The final MMDI was developed as the weighted sum of the selected metric scores with weights based on a metric's ability to reflect anthropogenic stressors in the adjacent watersheds. Despite careful development of the multimetric approach, verification using a test set of sites indicated that the MMDI was not able to predict watershed stressors better than some of the component metrics. From this investigation, it was determined that simpler, more traditional diatom-based metrics (e.g., DI Cl, proportion Cl-tolerant species, and DI total phosphorus [TP]) provide superior prediction of overall stressor influence at coastal locales.</AbstractText><CopyrightInformation>© 2008 Phycological Society of America.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Reavie</LastName><ForeName>Euan D</ForeName><Initials>ED</Initials><AffiliationInfo><Affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kireta</LastName><ForeName>Amy R</ForeName><Initials>AR</Initials><AffiliationInfo><Affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kingston</LastName><ForeName>John C</ForeName><Initials>JC</Initials><AffiliationInfo><Affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sgro</LastName><ForeName>Gerald V</ForeName><Initials>GV</Initials><AffiliationInfo><Affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Danz</LastName><ForeName>Nicholas P</ForeName><Initials>NP</Initials><AffiliationInfo><Affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Axler</LastName><ForeName>Richard P</ForeName><Initials>RP</Initials><AffiliationInfo><Affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hollenhorst</LastName><ForeName>Thomas P</ForeName><Initials>TP</Initials><AffiliationInfo><Affiliation>Center for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 1900 East Camp Street, Ely, Minnesota 55731, USABiology Department, John Carroll University, 20700 North Park Blvd., University Heights, Ohio 44118, USACenter for Water and the Environment, Natural Resources Research Institute, University of Minnesota Duluth, 5013 Miller Trunk Highway, Duluth, Minnesota 55811, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Phycol</MedlineTA><NlmUniqueID>9882935</NlmUniqueID><ISSNLinking>0022-3646</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Great Lakes</Keyword><Keyword MajorTopicYN="N">coastlines</Keyword><Keyword MajorTopicYN="N">diatoms</Keyword><Keyword MajorTopicYN="N">eutrophication</Keyword><Keyword MajorTopicYN="N">indices</Keyword><Keyword MajorTopicYN="N">metrics</Keyword><Keyword MajorTopicYN="N">multimetric</Keyword><Keyword MajorTopicYN="N">stressors</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>4</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2008</Year><Month>6</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2008</Year><Month>6</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27041437</ArticleId><ArticleId 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