Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9199
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dc.contributor.authorDrielsma, Michaelen
dc.contributor.authorPrior, Julianen
dc.contributor.authorKumar, Laliten
dc.contributor.authorFerrier, Simonen
dc.date.accessioned2012-01-16T09:31:00Z-
dc.date.created2010en
dc.date.issued2011-
dc.identifier.urihttps://hdl.handle.net/1959.11/9199-
dc.description.abstractBiodiversity loss can be considered a wicked problem because of its complex interactions across a broad range of problem areas and in particular, to social systems. Problems of this sort cannot be solved in the normal sense, especially through linear, top-down, expert-led approaches. Rather, problems of this sort require collaborative approaches in which self-organising partnerships, comprised of community, government and science, are developed and empowered. Collaborative planning can lead to improved environmental outcomes, but to ensure this, they must be underpinned by credible, place-specific modelling methodologies, that catalyse innovation and learning, and lead to improved decision-making. This thesis is a synthesis of theory and modelling brought together within a case-study. It is divided into three parts: Part I introduces the research and develops a perspective on regional-scale collaborative biodiversity assessment. Part II comprises four published journal articles, describing novel biodiversity modelling components that extend the ability of biodiversity assessment to consider habitat heterogeneity, habitat dynamics and spatial processes. These components represent a complementary set of tools that can be configured into high-level decision-support tools for various forms of biodiversity assessment. In Part III the theory and modelling components are synthesised through the development of a decision-support system, which has been used in NSW, Australia, to undertake scenario evaluation in relation to a collaborative planning initiative, known as the Southern Mallee Guidelines. The scheme involved a combination of broadscale clearing of native vegetation and the establishment of private reserves. The decision-support system made it possible to demonstrate retrospectively, that a qualified 'maintain-or-improve' biodiversity outcome was achieved. The thesis concludes with a discussion on how the native vegetation planning system in New South Wales could be modified to accommodate collaborative initiatives.en
dc.languageenen
dc.titleRegional-scale Collaborative Biodiversity Modelling in a Complex Worlden
dc.typeThesis Doctoralen
dc.subject.keywordsConservation and Biodiversityen
dc.subject.keywordsNatural Resource Managementen
dc.subject.keywordsLandscape Ecologyen
local.contributor.firstnameMichaelen
local.contributor.firstnameJulianen
local.contributor.firstnameLaliten
local.contributor.firstnameSimonen
local.subject.for2008050104 Landscape Ecologyen
local.subject.for2008050209 Natural Resource Managementen
local.subject.for2008050202 Conservation and Biodiversityen
local.subject.seo2008960899 Flora, Fauna and Biodiversity of Environments not elsewhere classifieden
local.subject.seo2008961299 Rehabilitation of Degraded Environments not elsewhere classifieden
local.subject.seo2008961399 Remnant Vegetation and Protected Conservation Areas not elsewhere classifieden
dcterms.RightsStatementCopyright 2010 - Michael Drielsmaen
dc.date.conferred2011en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.schoolOffice of Faculty of Science, Ag, Business and Lawen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailmdriels2@une.edu.auen
local.profile.emailjprior2@une.edu.auen
local.profile.emaillkumar@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20101012-091141en
local.contributor.lastnameDrielsmaen
local.contributor.lastnamePrioren
local.contributor.lastnameKumaren
local.contributor.lastnameFerrieren
dc.identifier.staffune-id:mdriels2en
dc.identifier.staffune-id:jprior2en
dc.identifier.staffune-id:lkumaren
local.profile.orcid0000-0002-9205-756Xen
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:9390en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleRegional-scale Collaborative Biodiversity Modelling in a Complex Worlden
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.thesis.borndigitalyesen
local.search.authorDrielsma, Michaelen
local.search.supervisorPrior, Julianen
local.search.supervisorKumar, Laliten
local.search.supervisorFerrier, Simonen
local.uneassociationYesen
local.year.conferred2011en
Appears in Collections:Thesis Doctoral
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