Investigating possible causal relations among physical, chemical and biological variables across regions in the Gulf of Maine

We examine potential causal relations between ecosystem variables in four regions of the Gulf of Maine under two major assumptions: (i) a causal cyclic variable will precede, or lead, its effect variable; e.g., a peak (through) in the causal variable will come before a peak (through) in the effect v...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Hydrobiologia 2015-02, Vol.744 (1), p.127-143
1. Verfasser: Seip, Knut L
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 143
container_issue 1
container_start_page 127
container_title Hydrobiologia
container_volume 744
creator Seip, Knut L
description We examine potential causal relations between ecosystem variables in four regions of the Gulf of Maine under two major assumptions: (i) a causal cyclic variable will precede, or lead, its effect variable; e.g., a peak (through) in the causal variable will come before a peak (through) in the effect variable. (ii) If physical variables determine regional ecosystem properties, then independent clusters of observations of physical, biological and interaction variables from the same stations will show similar patterns. We use the leading–lagging-strength method to establish leading strength and potential causality, and we use principal component analysis, to establish if regions differ in their ecological characteristics. We found that several relationships for physical and chemical variables were significant, and consistent with “common knowledge” of causal relations. In contrast, relationships that included biological variables differed among regions. In spite of these findings, we found that physical and chemical characteristics of near shore and pelagic regions of the Gulf of Maine translate into unique biological assemblages and unique physical–biological interactions.
doi_str_mv 10.1007/s10750-014-2068-1
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1647026595</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A395847202</galeid><sourcerecordid>A395847202</sourcerecordid><originalsourceid>FETCH-LOGICAL-c489t-c03803c9e920a0517bfdacd982f2131775ea6db01dfd97d0d4186fec61bf52d33</originalsourceid><addsrcrecordid>eNp9ks1u1DAUhSMEEkPhAVhhiQ1IpPg6cewsqwrKSEVIlK4tx7EzrjL2YCdVu-DduZmwaFlUXvjvO0fX97go3gI9BUrF5wxUcFpSqEtGG1nCs2IDXFQlBxDPiw2lIEsJXL4sXuV8Q1HTMrop_mzDrc2TH_Tkw0AOMWffjZYYPWc9kmRHvIghE72Py_3uPnujx0_E7Ox-WREdetL5OMbhuL3VyWt0QIVJ6IYWw9HABzLtLLmYR0eiI9-1D_Z18cLpMds3_-aT4vrrl1_n38rLHxfb87PL0tSynUpDK0kr01osWVMOonO9Nn0rmWNQgRDc6qbvKPSub0VP-xpk46xpoHOc9VV1UnxYfQ8p_p7xvWrvs7HjqIONc1bQ1IKyhrcc0ff_oTdxTgGrQ6qq24YLIZA6XalBj1b54OKUtMHRL12JwTqP52dVy2UtGGUo-PhIgMxk76YB25zV9urnYxZW9tjAZJ06JL_X6V4BVUvaak1bYdpqSVsBatiqyciGwaYHZT8hereKnI5KD8lndX3FKHD8HpJxCdVfJOG14g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1634965777</pqid></control><display><type>article</type><title>Investigating possible causal relations among physical, chemical and biological variables across regions in the Gulf of Maine</title><source>SpringerNature Journals</source><creator>Seip, Knut L</creator><creatorcontrib>Seip, Knut L</creatorcontrib><description>We examine potential causal relations between ecosystem variables in four regions of the Gulf of Maine under two major assumptions: (i) a causal cyclic variable will precede, or lead, its effect variable; e.g., a peak (through) in the causal variable will come before a peak (through) in the effect variable. (ii) If physical variables determine regional ecosystem properties, then independent clusters of observations of physical, biological and interaction variables from the same stations will show similar patterns. We use the leading–lagging-strength method to establish leading strength and potential causality, and we use principal component analysis, to establish if regions differ in their ecological characteristics. We found that several relationships for physical and chemical variables were significant, and consistent with “common knowledge” of causal relations. In contrast, relationships that included biological variables differed among regions. In spite of these findings, we found that physical and chemical characteristics of near shore and pelagic regions of the Gulf of Maine translate into unique biological assemblages and unique physical–biological interactions.</description><identifier>ISSN: 0018-8158</identifier><identifier>EISSN: 1573-5117</identifier><identifier>DOI: 10.1007/s10750-014-2068-1</identifier><language>eng</language><publisher>Cham: Springer-Verlag</publisher><subject>Algae ; Analysis ; Biomedical and Life Sciences ; Ecology ; Ecosystems ; Estuaries ; Freshwater &amp; Marine Ecology ; Habitats ; Investigations ; Life Sciences ; Primary Research Paper ; principal component analysis ; Principal components analysis ; Zoology</subject><ispartof>Hydrobiologia, 2015-02, Vol.744 (1), p.127-143</ispartof><rights>Springer International Publishing Switzerland 2014</rights><rights>COPYRIGHT 2015 Springer</rights><rights>Springer International Publishing Switzerland 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-c03803c9e920a0517bfdacd982f2131775ea6db01dfd97d0d4186fec61bf52d33</citedby><cites>FETCH-LOGICAL-c489t-c03803c9e920a0517bfdacd982f2131775ea6db01dfd97d0d4186fec61bf52d33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10750-014-2068-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10750-014-2068-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Seip, Knut L</creatorcontrib><title>Investigating possible causal relations among physical, chemical and biological variables across regions in the Gulf of Maine</title><title>Hydrobiologia</title><addtitle>Hydrobiologia</addtitle><description>We examine potential causal relations between ecosystem variables in four regions of the Gulf of Maine under two major assumptions: (i) a causal cyclic variable will precede, or lead, its effect variable; e.g., a peak (through) in the causal variable will come before a peak (through) in the effect variable. (ii) If physical variables determine regional ecosystem properties, then independent clusters of observations of physical, biological and interaction variables from the same stations will show similar patterns. We use the leading–lagging-strength method to establish leading strength and potential causality, and we use principal component analysis, to establish if regions differ in their ecological characteristics. We found that several relationships for physical and chemical variables were significant, and consistent with “common knowledge” of causal relations. In contrast, relationships that included biological variables differed among regions. In spite of these findings, we found that physical and chemical characteristics of near shore and pelagic regions of the Gulf of Maine translate into unique biological assemblages and unique physical–biological interactions.</description><subject>Algae</subject><subject>Analysis</subject><subject>Biomedical and Life Sciences</subject><subject>Ecology</subject><subject>Ecosystems</subject><subject>Estuaries</subject><subject>Freshwater &amp; Marine Ecology</subject><subject>Habitats</subject><subject>Investigations</subject><subject>Life Sciences</subject><subject>Primary Research Paper</subject><subject>principal component analysis</subject><subject>Principal components analysis</subject><subject>Zoology</subject><issn>0018-8158</issn><issn>1573-5117</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</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>eNp9ks1u1DAUhSMEEkPhAVhhiQ1IpPg6cewsqwrKSEVIlK4tx7EzrjL2YCdVu-DduZmwaFlUXvjvO0fX97go3gI9BUrF5wxUcFpSqEtGG1nCs2IDXFQlBxDPiw2lIEsJXL4sXuV8Q1HTMrop_mzDrc2TH_Tkw0AOMWffjZYYPWc9kmRHvIghE72Py_3uPnujx0_E7Ox-WREdetL5OMbhuL3VyWt0QIVJ6IYWw9HABzLtLLmYR0eiI9-1D_Z18cLpMds3_-aT4vrrl1_n38rLHxfb87PL0tSynUpDK0kr01osWVMOonO9Nn0rmWNQgRDc6qbvKPSub0VP-xpk46xpoHOc9VV1UnxYfQ8p_p7xvWrvs7HjqIONc1bQ1IKyhrcc0ff_oTdxTgGrQ6qq24YLIZA6XalBj1b54OKUtMHRL12JwTqP52dVy2UtGGUo-PhIgMxk76YB25zV9urnYxZW9tjAZJ06JL_X6V4BVUvaak1bYdpqSVsBatiqyciGwaYHZT8hereKnI5KD8lndX3FKHD8HpJxCdVfJOG14g</recordid><startdate>20150201</startdate><enddate>20150201</enddate><creator>Seip, Knut L</creator><general>Springer-Verlag</general><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QH</scope><scope>7SN</scope><scope>7SS</scope><scope>7U7</scope><scope>7UA</scope><scope>88A</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H95</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>LK8</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7TN</scope></search><sort><creationdate>20150201</creationdate><title>Investigating possible causal relations among physical, chemical and biological variables across regions in the Gulf of Maine</title><author>Seip, Knut L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-c03803c9e920a0517bfdacd982f2131775ea6db01dfd97d0d4186fec61bf52d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Algae</topic><topic>Analysis</topic><topic>Biomedical and Life Sciences</topic><topic>Ecology</topic><topic>Ecosystems</topic><topic>Estuaries</topic><topic>Freshwater &amp; Marine Ecology</topic><topic>Habitats</topic><topic>Investigations</topic><topic>Life Sciences</topic><topic>Primary Research Paper</topic><topic>principal component analysis</topic><topic>Principal components analysis</topic><topic>Zoology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seip, Knut L</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Biology Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental 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>Genetics Abstracts</collection><collection>Oceanic Abstracts</collection><jtitle>Hydrobiologia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seip, Knut L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating possible causal relations among physical, chemical and biological variables across regions in the Gulf of Maine</atitle><jtitle>Hydrobiologia</jtitle><stitle>Hydrobiologia</stitle><date>2015-02-01</date><risdate>2015</risdate><volume>744</volume><issue>1</issue><spage>127</spage><epage>143</epage><pages>127-143</pages><issn>0018-8158</issn><eissn>1573-5117</eissn><abstract>We examine potential causal relations between ecosystem variables in four regions of the Gulf of Maine under two major assumptions: (i) a causal cyclic variable will precede, or lead, its effect variable; e.g., a peak (through) in the causal variable will come before a peak (through) in the effect variable. (ii) If physical variables determine regional ecosystem properties, then independent clusters of observations of physical, biological and interaction variables from the same stations will show similar patterns. We use the leading–lagging-strength method to establish leading strength and potential causality, and we use principal component analysis, to establish if regions differ in their ecological characteristics. We found that several relationships for physical and chemical variables were significant, and consistent with “common knowledge” of causal relations. In contrast, relationships that included biological variables differed among regions. In spite of these findings, we found that physical and chemical characteristics of near shore and pelagic regions of the Gulf of Maine translate into unique biological assemblages and unique physical–biological interactions.</abstract><cop>Cham</cop><pub>Springer-Verlag</pub><doi>10.1007/s10750-014-2068-1</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0018-8158
ispartof Hydrobiologia, 2015-02, Vol.744 (1), p.127-143
issn 0018-8158
1573-5117
language eng
recordid cdi_proquest_miscellaneous_1647026595
source SpringerNature Journals
subjects Algae
Analysis
Biomedical and Life Sciences
Ecology
Ecosystems
Estuaries
Freshwater & Marine Ecology
Habitats
Investigations
Life Sciences
Primary Research Paper
principal component analysis
Principal components analysis
Zoology
title Investigating possible causal relations among physical, chemical and biological variables across regions in the Gulf of Maine
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T02%3A44%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Investigating%20possible%20causal%20relations%20among%20physical,%20chemical%20and%20biological%20variables%20across%20regions%20in%20the%20Gulf%20of%20Maine&rft.jtitle=Hydrobiologia&rft.au=Seip,%20Knut%20L&rft.date=2015-02-01&rft.volume=744&rft.issue=1&rft.spage=127&rft.epage=143&rft.pages=127-143&rft.issn=0018-8158&rft.eissn=1573-5117&rft_id=info:doi/10.1007/s10750-014-2068-1&rft_dat=%3Cgale_proqu%3EA395847202%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1634965777&rft_id=info:pmid/&rft_galeid=A395847202&rfr_iscdi=true