Repository logo
 

Spatial Optimisation for River Restoration Planning in Nova Scotia, Canada

dc.contributor.authorOldford, Greig
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Environmental Studiesen_US
dc.contributor.departmentSchool of Resource & Environmental Studiesen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerJesse O'Hanleyen_US
dc.contributor.graduate-coordinatorKaren Beazleyen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDan Kehleren_US
dc.contributor.thesis-readerEldon Gunnen_US
dc.contributor.thesis-supervisorPeter Duinkeren_US
dc.date.accessioned2013-09-04T18:16:23Z
dc.date.available2013-09-04T18:16:23Z
dc.date.defence2013-08-23
dc.date.issued2013-09-04
dc.descriptionMaster's Thesisen_US
dc.description.abstractRiver restoration is believed to have the greatest chance of success when action is considered in the broader context of the riverscape. However, methods are lacking to fully integrate systemic connectivity into decision-making. Optimisation, a method of prioritisation, is capable of accounting for longitudinal connectivity, spatial interdependence, and cumulative effects of anthropogenic barriers such as dams and culverts. In addition, optimisation can help ensure that limited restoration funds are efficiently allocated. Despite these advantages, it remains under-employed. I present optimisation models for maximising connectivity within a river network (i.e., undirected connectivity) and connectivity between the network and its outflow (i.e., directed connectivity) and demonstrate their application on three river networks in Nova Scotia, Canada. Non-additive cumulative effects of barriers and key budget thresholds that yielded better returns on investment were observed. The methods and models address current challenges in implementation of the optimisation approach to systematic river restoration planning.en_US
dc.identifier.urihttp://hdl.handle.net/10222/36309
dc.language.isoenen_US
dc.subjectriver restorationen_US
dc.subjectoptimisationen_US
dc.subjectcumulative effectsen_US
dc.subjectfish passageen_US
dc.subjectgeographic information systemsen_US
dc.subjectriver barriersen_US
dc.titleSpatial Optimisation for River Restoration Planning in Nova Scotia, Canadaen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Oldford-Greig-MES-SRES-August-2013.pdf
Size:
8.93 MB
Format:
Adobe Portable Document Format
Description:
Greig Oldford MES Master's Thesis

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.42 KB
Format:
Item-specific license agreed upon to submission
Description: