Modelling food-web mediated effects of hydrological variability and environmental flows.
Identifieur interne : 000095 ( PubMed/Corpus ); précédent : 000094; suivant : 000096Modelling food-web mediated effects of hydrological variability and environmental flows.
Auteurs : Barbara J. Robson ; Rebecca E. Lester ; Darren S. Baldwin ; Nicholas R. Bond ; Romain Drouart ; Robert J. Rolls ; Darren S. Ryder ; Ross M. ThompsonSource :
- Water research [ 1879-2448 ] ; 2017.
English descriptors
- KwdEn :
- MESH :
Abstract
Environmental flows are designed to enhance aquatic ecosystems through a variety of mechanisms; however, to date most attention has been paid to the effects on habitat quality and life-history triggers, especially for fish and vegetation. The effects of environmental flows on food webs have so far received little attention, despite food-web thinking being fundamental to understanding of river ecosystems. Understanding environmental flows in a food-web context can help scientists and policy-makers better understand and manage outcomes of flow alteration and restoration. In this paper, we consider mechanisms by which flow variability can influence and alter food webs, and place these within a conceptual and numerical modelling framework. We also review the strengths and weaknesses of various approaches to modelling the effects of hydrological management on food webs. Although classic bioenergetic models such as Ecopath with Ecosim capture many of the key features required, other approaches, such as biogeochemical ecosystem modelling, end-to-end modelling, population dynamic models, individual-based models, graph theory models, and stock assessment models are also relevant. In many cases, a combination of approaches will be useful. We identify current challenges and new directions in modelling food-web responses to hydrological variability and environmental flow management. These include better integration of food-web and hydraulic models, taking physiologically-based approaches to food quality effects, and better representation of variations in space and time that may create ecosystem control points.
DOI: 10.1016/j.watres.2017.07.031
PubMed: 28750285
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Baldwin</name><affiliation><nlm:affiliation>CSIRO Land and Water, GPO Box 1700, Canberra, ACT, 2601, Australia; The Murray-Darling Freshwater Research Centre, La Trobe University, PO Box 821, Wodonga, Vic, 3689, Australia; Charles Sturt University, Thurgoona, NSW, 2640, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Bond, Nicholas R" sort="Bond, Nicholas R" uniqKey="Bond N" first="Nicholas R" last="Bond">Nicholas R. 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Ryder</name><affiliation><nlm:affiliation>School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Thompson, Ross M" sort="Thompson, Ross M" uniqKey="Thompson R" first="Ross M" last="Thompson">Ross M. Thompson</name><affiliation><nlm:affiliation>Institute for Applied Ecology, University of Canberra, Canberra, ACT, 2601, Australia.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2017">2017</date><idno type="RBID">pubmed:28750285</idno><idno type="pmid">28750285</idno><idno type="doi">10.1016/j.watres.2017.07.031</idno><idno type="wicri:Area/PubMed/Corpus">000095</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000095</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Modelling food-web mediated effects of hydrological variability and environmental flows.</title><author><name sortKey="Robson, Barbara J" sort="Robson, Barbara J" uniqKey="Robson B" first="Barbara J" last="Robson">Barbara J. Robson</name><affiliation><nlm:affiliation>CSIRO Land and Water, GPO Box 1700, Canberra, ACT, 2601, Australia. Electronic address: barbara.robson@csiro.au.</nlm:affiliation></affiliation></author><author><name sortKey="Lester, Rebecca E" sort="Lester, Rebecca E" uniqKey="Lester R" first="Rebecca E" last="Lester">Rebecca E. Lester</name><affiliation><nlm:affiliation>Centre for Regional and Rural Futures, Deakin University, Locked Bag 20000, Geelong, Vic, 3220, Australia. Electronic address: rebecca.lester@deakin.edu.au.</nlm:affiliation></affiliation></author><author><name sortKey="Baldwin, Darren S" sort="Baldwin, Darren S" uniqKey="Baldwin D" first="Darren S" last="Baldwin">Darren S. Baldwin</name><affiliation><nlm:affiliation>CSIRO Land and Water, GPO Box 1700, Canberra, ACT, 2601, Australia; The Murray-Darling Freshwater Research Centre, La Trobe University, PO Box 821, Wodonga, Vic, 3689, Australia; Charles Sturt University, Thurgoona, NSW, 2640, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Bond, Nicholas R" sort="Bond, Nicholas R" uniqKey="Bond N" first="Nicholas R" last="Bond">Nicholas R. Bond</name><affiliation><nlm:affiliation>The Murray-Darling Freshwater Research Centre, La Trobe University, PO Box 821, Wodonga, Vic, 3689, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Drouart, Romain" sort="Drouart, Romain" uniqKey="Drouart R" first="Romain" last="Drouart">Romain Drouart</name><affiliation><nlm:affiliation>CSIRO Land and Water, GPO Box 1700, Canberra, ACT, 2601, Australia; Ecole des Mines d'Alès, 6 Avenue de Clavières, 30319, Alès Cedex, France.</nlm:affiliation></affiliation></author><author><name sortKey="Rolls, Robert J" sort="Rolls, Robert J" uniqKey="Rolls R" first="Robert J" last="Rolls">Robert J. Rolls</name><affiliation><nlm:affiliation>Institute for Applied Ecology, University of Canberra, Canberra, ACT, 2601, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Ryder, Darren S" sort="Ryder, Darren S" uniqKey="Ryder D" first="Darren S" last="Ryder">Darren S. Ryder</name><affiliation><nlm:affiliation>School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Thompson, Ross M" sort="Thompson, Ross M" uniqKey="Thompson R" first="Ross M" last="Thompson">Ross M. Thompson</name><affiliation><nlm:affiliation>Institute for Applied Ecology, University of Canberra, Canberra, ACT, 2601, Australia.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Water research</title><idno type="eISSN">1879-2448</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Ecosystem</term><term>Food Chain</term><term>Humans</term><term>Hydrology</term><term>Rivers</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Ecosystem</term><term>Food Chain</term><term>Humans</term><term>Hydrology</term><term>Rivers</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Environmental flows are designed to enhance aquatic ecosystems through a variety of mechanisms; however, to date most attention has been paid to the effects on habitat quality and life-history triggers, especially for fish and vegetation. The effects of environmental flows on food webs have so far received little attention, despite food-web thinking being fundamental to understanding of river ecosystems. Understanding environmental flows in a food-web context can help scientists and policy-makers better understand and manage outcomes of flow alteration and restoration. In this paper, we consider mechanisms by which flow variability can influence and alter food webs, and place these within a conceptual and numerical modelling framework. We also review the strengths and weaknesses of various approaches to modelling the effects of hydrological management on food webs. Although classic bioenergetic models such as Ecopath with Ecosim capture many of the key features required, other approaches, such as biogeochemical ecosystem modelling, end-to-end modelling, population dynamic models, individual-based models, graph theory models, and stock assessment models are also relevant. In many cases, a combination of approaches will be useful. We identify current challenges and new directions in modelling food-web responses to hydrological variability and environmental flow management. These include better integration of food-web and hydraulic models, taking physiologically-based approaches to food quality effects, and better representation of variations in space and time that may create ecosystem control points.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28750285</PMID><DateCreated><Year>2017</Year><Month>07</Month><Day>27</Day></DateCreated><DateCompleted><Year>2017</Year><Month>10</Month><Day>19</Day></DateCompleted><DateRevised><Year>2017</Year><Month>10</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-2448</ISSN><JournalIssue CitedMedium="Internet"><Volume>124</Volume><PubDate><Year>2017</Year><Month>Nov</Month><Day>01</Day></PubDate></JournalIssue><Title>Water research</Title><ISOAbbreviation>Water Res.</ISOAbbreviation></Journal><ArticleTitle>Modelling food-web mediated effects of hydrological variability and environmental flows.</ArticleTitle><Pagination><MedlinePgn>108-128</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0043-1354(17)30604-8</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.watres.2017.07.031</ELocationID><Abstract><AbstractText>Environmental flows are designed to enhance aquatic ecosystems through a variety of mechanisms; however, to date most attention has been paid to the effects on habitat quality and life-history triggers, especially for fish and vegetation. The effects of environmental flows on food webs have so far received little attention, despite food-web thinking being fundamental to understanding of river ecosystems. Understanding environmental flows in a food-web context can help scientists and policy-makers better understand and manage outcomes of flow alteration and restoration. In this paper, we consider mechanisms by which flow variability can influence and alter food webs, and place these within a conceptual and numerical modelling framework. We also review the strengths and weaknesses of various approaches to modelling the effects of hydrological management on food webs. Although classic bioenergetic models such as Ecopath with Ecosim capture many of the key features required, other approaches, such as biogeochemical ecosystem modelling, end-to-end modelling, population dynamic models, individual-based models, graph theory models, and stock assessment models are also relevant. In many cases, a combination of approaches will be useful. We identify current challenges and new directions in modelling food-web responses to hydrological variability and environmental flow management. These include better integration of food-web and hydraulic models, taking physiologically-based approaches to food quality effects, and better representation of variations in space and time that may create ecosystem control points.</AbstractText><CopyrightInformation>Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Robson</LastName><ForeName>Barbara J</ForeName><Initials>BJ</Initials><AffiliationInfo><Affiliation>CSIRO Land and Water, GPO Box 1700, Canberra, ACT, 2601, Australia. Electronic address: barbara.robson@csiro.au.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lester</LastName><ForeName>Rebecca E</ForeName><Initials>RE</Initials><AffiliationInfo><Affiliation>Centre for Regional and Rural Futures, Deakin University, Locked Bag 20000, Geelong, Vic, 3220, Australia. Electronic address: rebecca.lester@deakin.edu.au.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Baldwin</LastName><ForeName>Darren S</ForeName><Initials>DS</Initials><AffiliationInfo><Affiliation>CSIRO Land and Water, GPO Box 1700, Canberra, ACT, 2601, Australia; The Murray-Darling Freshwater Research Centre, La Trobe University, PO Box 821, Wodonga, Vic, 3689, Australia; Charles Sturt University, Thurgoona, NSW, 2640, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bond</LastName><ForeName>Nicholas R</ForeName><Initials>NR</Initials><AffiliationInfo><Affiliation>The Murray-Darling Freshwater Research Centre, La Trobe University, PO Box 821, Wodonga, Vic, 3689, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Drouart</LastName><ForeName>Romain</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>CSIRO Land and Water, GPO Box 1700, Canberra, ACT, 2601, Australia; Ecole des Mines d'Alès, 6 Avenue de Clavières, 30319, Alès Cedex, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rolls</LastName><ForeName>Robert J</ForeName><Initials>RJ</Initials><AffiliationInfo><Affiliation>Institute for Applied Ecology, University of Canberra, Canberra, ACT, 2601, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ryder</LastName><ForeName>Darren S</ForeName><Initials>DS</Initials><AffiliationInfo><Affiliation>School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Thompson</LastName><ForeName>Ross M</ForeName><Initials>RM</Initials><AffiliationInfo><Affiliation>Institute for Applied Ecology, University of Canberra, Canberra, ACT, 2601, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>07</Month><Day>17</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Water Res</MedlineTA><NlmUniqueID>0105072</NlmUniqueID><ISSNLinking>0043-1354</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="Y">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020387" MajorTopicYN="Y">Food Chain</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D062070" MajorTopicYN="N">Hydrology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Adaptive river management</Keyword><Keyword MajorTopicYN="N">Ecohydrology</Keyword><Keyword MajorTopicYN="N">Ecosystems</Keyword><Keyword MajorTopicYN="N">Food webs</Keyword><Keyword MajorTopicYN="N">Prediction</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>02</Month><Day>01</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2017</Year><Month>07</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>07</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>7</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>10</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>7</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28750285</ArticleId><ArticleId IdType="pii">S0043-1354(17)30604-8</ArticleId><ArticleId IdType="doi">10.1016/j.watres.2017.07.031</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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