Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58892
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dc.contributor.authorRobson, Barbara Jen
dc.contributor.authorLester, Rebecca Een
dc.contributor.authorBaldwin, Darren Sen
dc.contributor.authorBond, Nicholas Ren
dc.contributor.authorDrouart, Romainen
dc.contributor.authorRolls, Robert Jen
dc.contributor.authorRyder, Darren Sen
dc.contributor.authorThompson, Ross Men
dc.date.accessioned2024-05-02T06:15:36Z-
dc.date.available2024-05-02T06:15:36Z-
dc.date.issued2017-11-01-
dc.identifier.citationWater Research, v.124, p. 108-128en
dc.identifier.issn1879-2448en
dc.identifier.issn0043-1354en
dc.identifier.urihttps://hdl.handle.net/1959.11/58892-
dc.description.abstract<p>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.</p>en
dc.languageenen
dc.publisherElsevier Ltden
dc.relation.ispartofWater Researchen
dc.titleModelling food-web mediated effects of hydrological variability and environmental flowsen
dc.typeJournal Articleen
dc.identifier.doi10.1016/j.watres.2017.07.031en
local.contributor.firstnameBarbara Jen
local.contributor.firstnameRebecca Een
local.contributor.firstnameDarren Sen
local.contributor.firstnameNicholas Ren
local.contributor.firstnameRomainen
local.contributor.firstnameRobert Jen
local.contributor.firstnameDarren Sen
local.contributor.firstnameRoss Men
local.relation.isfundedbyARCen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailrrolls2@une.edu.auen
local.profile.emaildryder2@une.edu.auen
local.output.categoryC1en
local.grant.numberFT110100957en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage108en
local.format.endpage128en
local.peerreviewedYesen
local.identifier.volume124en
local.contributor.lastnameRobsonen
local.contributor.lastnameLesteren
local.contributor.lastnameBaldwinen
local.contributor.lastnameBonden
local.contributor.lastnameDrouarten
local.contributor.lastnameRollsen
local.contributor.lastnameRyderen
local.contributor.lastnameThompsonen
dc.identifier.staffune-id:rrolls2en
dc.identifier.staffune-id:dryder2en
local.profile.orcid0000-0002-0402-411Xen
local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/58892en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleModelling food-web mediated effects of hydrological variability and environmental flowsen
local.relation.fundingsourcenoteThis study was funded by the Australian Department of Environment and Energy's Commonwealth Environmental Water Office (Project number M/BUS/465) through the Murray-Darling Basin Environmental Water Knowledge and Research project, administered by the Murray-Darling Freshwater Research Centre.Additional support for the preparation of this manuscript came from CSIRO, Deakin University, La Trobe University, University of Canberra, and University of New England.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.grantdescriptionARC/FT110100957en
local.search.authorRobson, Barbara Jen
local.search.authorLester, Rebecca Een
local.search.authorBaldwin, Darren Sen
local.search.authorBond, Nicholas Ren
local.search.authorDrouart, Romainen
local.search.authorRolls, Robert Jen
local.search.authorRyder, Darren Sen
local.search.authorThompson, Ross Men
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/9b1c58db-6f35-48d9-9a3a-06d60bdc8af6en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2017en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/9b1c58db-6f35-48d9-9a3a-06d60bdc8af6en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/9b1c58db-6f35-48d9-9a3a-06d60bdc8af6en
local.subject.for20203103 Ecologyen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-05-02en
Appears in Collections:Journal Article
School of Environmental and Rural Science
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