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...
Gespeichert in:
Veröffentlicht in: | Hydrobiologia 2015-02, Vol.744 (1), p.127-143 |
---|---|
1. Verfasser: | |
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 & 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 & 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 & 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 & 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 & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & 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 |