Putting people back in the picture: a social research agenda for a social-ecological approach to conservation planning

aut.embargoNoen_NZ
aut.thirdpc.containsNoen_NZ
aut.thirdpc.permissionNoen_NZ
aut.thirdpc.removedNoen_NZ
dc.contributor.advisorBollard Breen, Barbara
dc.contributor.advisorKrägeloh, Chris U.
dc.contributor.advisorBillington, D. Rex
dc.contributor.authorJarvis, Rebecca M.
dc.date.accessioned2016-03-24T03:27:54Z
dc.date.available2016-03-24T03:27:54Z
dc.date.copyright2015
dc.date.created2016
dc.date.issued2015
dc.date.updated2016-03-23T20:01:45Z
dc.description.abstractThe implementation of successful conservation actions is often limited by the inadequate consideration of the social systems within which conservation is embedded. As such, understanding the enabling social factors of effective implementation is a central goal of conservation. By identifying and accounting for these social factors, planners can develop a social-ecological approach to conservation that better accounts for the dynamic interactions between people and nature. Such an approach is particularly important for understanding the complex multi-actor, multi-priority systems increasingly common in conservation. Furthermore, a social-ecological approach can highlight contextual information that can better link regional planning with local action. In this thesis, I develop a social research agenda for a social-ecological approach to conservation planning. First, I ran a workshop bringing together conservation researchers and practitioners to better understand the implementation gap. The workshop highlighted how the implementation gap is still very real in conservation, and the importance of considering conservation planning from a social-ecological perspective. Second, using a seascape in New Zealand as a case study, I developed a social research agenda for a social-ecological approach to conservation planning. The social research agenda consists of three key stages to identify and involve stakeholders: (1) map knowledge exchange in the conservation network to understand the governance system; (2) crowdsource spatial values to understand actors and identify place-based conservation opportunities; and (3) integrate citizen science to include local knowledge in planning processes. This agenda demonstrates how social network analysis, crowdsourced social mapping surveys, and citizen science can strengthen conservation planning by identifying the enabling social factors for successful implementation. Finally, I describe how this social research agenda could be integrated in conservation planning to understand and account for the social systems within which conservation is embedded. While broadly applicable to conservation around the world, this agenda remains flexible for local and regional contexts. This thesis addresses a critical gap in conservation theory and practice by defining a social research agenda for planning processes. As such, this agenda will provide explicit guidance to conservation researchers, planners, and practitioners on how to undertake conservation planning from a social-ecological perspective. By identifying the enabling social conditions for feasible conservation actions, this social research agenda can increase the likelihood of achieving successful conservation outcomes.en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/9645
dc.language.isoenen_NZ
dc.publisherAuckland University of Technology
dc.rights.accessrightsOpenAccess
dc.subjectConservationen_NZ
dc.subjectConservation social scienceen_NZ
dc.subjectSocial research agendaen_NZ
dc.subjectSocial ecological systemsen_NZ
dc.subjectConservation planningen_NZ
dc.subjectFeasibilityen_NZ
dc.subjectImplementation gapen_NZ
dc.subjectConservation opportunityen_NZ
dc.subjectGovernanceen_NZ
dc.subjectPublic participationen_NZ
dc.subjectSocial network analysis (SNA)en_NZ
dc.subjectVoluntary geographic information (VGI)en_NZ
dc.subjectCitizen scienceen_NZ
dc.titlePutting people back in the picture: a social research agenda for a social-ecological approach to conservation planningen_NZ
dc.typeThesis
thesis.degree.discipline
thesis.degree.grantorAuckland University of Technology
thesis.degree.levelDoctoral Theses
thesis.degree.nameDoctor of Philosophyen_NZ
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