Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-p2v8j Total loading time: 0 Render date: 2024-04-30T19:18:17.402Z Has data issue: false hasContentIssue false

5 - Social network analysis for stakeholder selection and the links to social learning and adaptive co-management

from Part II - Case studies

Published online by Cambridge University Press:  05 June 2012

Örjan Bodin
Affiliation:
Stockholms Universitet
Christina Prell
Affiliation:
University of Maryland, College Park
Get access

Summary

Introduction

There is now widespread recognition in the academic and wider community that those who are affected by, or who have the power to affect environmental decision-making processes, have a right to be consulted (e.g. the EU’s Aarhus Convention enshrines this right in law). There is also growing evidence that their involvement may enhance the quality of decisions made (Prell et al., 2008). However, these benefits depend upon appropriate representation of stakeholders, and this poses significant challenges. In many cases, the population of stakeholders is unknown, and thus, locating a representative sample is difficult. In addition, different stakeholders are likely to have different views about what are the relevant issues, and who are the most relevant parties to invite to the table. In this chapter, we put forward social network analysis as a complementary tool to help unravel who is a relevant stakeholder. In doing so, we argue that including a network analysis of stakeholders demonstrates another dimension to the idea of “diversity” in considering “wide representation” of stakeholders. In addition to trying to capture a diversity of perspectives from diverse stakeholder categories, we argue for considerations of diversity based on social networks, i.e. diverse positions within a wider network structure, and demonstrate how social network analysis can be used for uncovering such positions.

Type
Chapter
Information
Social Networks and Natural Resource Management
Uncovering the Social Fabric of Environmental Governance
, pp. 95 - 118
Publisher: Cambridge University Press
Print publication year: 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

AONB Office 2009 Nidderdale Area of Outstanding Natural Beauty Management Plan 2009–2014Pateley BridgeAONB Office1Google Scholar
Armitage, D.Marschke, M.Plummer, R. 2008 Adaptive co-management and the paradox of learningGlobal Environmental Change 18 86CrossRefGoogle Scholar
Averis, A. M.Averis, A. B. G.Birks, H. J. B. 2004 An Illustrated Guide to British Upland VegetationPeterboroughJoint Nature Conservation CommitteeGoogle Scholar
Bandura, A. 1977 Social Learning TheoryEnglewood Cliffs, NJPrentice HallGoogle Scholar
Bodin, Ö.Crona, B. I. 2009 The role of social networks in natural resource governance: what relational patterns make a difference?Global Environmental Change 19 366CrossRefGoogle Scholar
Cole, M.Engestrom, Y. 1993 A cultural historical approach to distributed cognitionSalomon, G.Distributed Cognitions: Psychological and Educational ConsiderationsNew York, NYCambridge University Press1Google Scholar
Coleman, J. S. 1990 Foundations of Social TheoryCambridge, MABelknap Press of Harvard University PressGoogle Scholar
Cook, K. S.Emerson, R. M.Gilmore, M. R.Yamagishi, T. 1983 The distribution of power in exchange networks: theory and experimental resultsAmerican Journal of Sociology 89 275CrossRefGoogle Scholar
CRC 2010 High ground, high potential: a future for England’s upland communities, Summary ReportRural CommunitiesCheltenhamCommission for Rural Communities1Google Scholar
Cundill, G. 2010 Monitoring social learning processes in adaptive co-management: three case studies from South AfricaEcology and Society 15 28CrossRefGoogle Scholar
Davidson-Hunt, I. 2006 Adaptive learning networks: developing resource management knowledge through social learning forumsHuman Ecology 34 593CrossRefGoogle Scholar
Dougill, A. J.Fraser, E. D. G.Hubacek, K. 2006 Learning from doing participatory rural research: lessons from the Peak District National ParkJournal of Agricultural Economics 57 259CrossRefGoogle Scholar
Dryzek, J. 1997 The Politics of EarthOxfordOxford University PressGoogle Scholar
Erickson, B. 1988 The relational basis of attitudesWellman, B.Berkowitz, S. D.Social Structures: A Network ApproachCambridgeCambridge University Press99Google Scholar
Fazey, I.Fazey, J. A.Fazey, D. M. A. 2005 Learning more effectively from experienceEcology and Society 10 4http://www.ecologyandsociety.org/vol10/iss2/art4/CrossRefGoogle Scholar
Fazey, J. A.Marton, F. 2002 Understanding the space of experiential variationActive Learning in Higher Education 3 234CrossRefGoogle Scholar
Folke, C.Hahn, T.Olsson, P.Norberg, J. 2005 Adaptive governance of social–ecological systemsAnnual Review of Environment and Resources 30 441CrossRefGoogle Scholar
Friedkin, N. E. 1998 A Structural Theory of Social InfluenceCambridgeCambridge University PressCrossRefGoogle Scholar
Holden, J. 2005 Controls of soil pipe frequency in upland blanket peatJournal of Geophysical Research 110CrossRefGoogle Scholar
Holden, J. 2005 Piping and woody plants in peatlands; cause or effect?Water Resources Research 41CrossRefGoogle Scholar
Hubacek, K.Beharry, N.Bonn, A. 2009 Ecosystem services in dynamic and contested landscapes: the case of UK uplandsWinter, M.Lobley, M.What is Land For? The Food, Fuel and Climate Change DebateLondonEarthscan167Google Scholar
Hubacek, K.Reed, M. 2009 Lessons learned from participatory planning and management in the Peak District National Park, EnglandAllan, C.Stankey, G.Adaptive Environmental Management: A Practical GuideNew York, NYSpringer189CrossRefGoogle Scholar
Hunter, S. M.Vizelberg, I. A.Berenson, G. S. 1991 Identifying mechanisms of adoption of tobacco and alcohol use among youth: the Bogalusa heart studySocial Networks 13 91CrossRefGoogle Scholar
Katz, E.Lazarsfeld, P. F. 2006 Personal Influence: The Part Played by People in the Flow of Mass CommunicationsNew Brunswick, NJTransaction PublishersGoogle Scholar
Kolb, D. A. 1984 Experiential Learning: Experience as the Source of Learning and DevelopmentPrinceton, NJPrentice-HallGoogle Scholar
Krackhardt, D. 1998 Simmelian ties: super, strong and stickyKramer, R.Neale, M.Power and Influence in OrganizationsThousand Oaks, CASage21CrossRefGoogle Scholar
Lave, J.Wenger, E. 1991 Situated Learning: Legitimate Peripheral ParticipationCambridgeCambridge University PressCrossRefGoogle Scholar
Lee, K. N. 1993 Compass and Gyroscope: Integrating Science and Politics for the EnvironmentWashington, DCIsland PressGoogle Scholar
Leeuwis, C.Pyburn, R. 2002 Wheelbarrows Full of Frogs: Social Learning in Rural Resource ManagementAssen, the NetherlandsKoninklijke van GorcumGoogle Scholar
Maiolo, J. R.Johnson, J. C.Griffith, D. 1992 Application of social science theory to fisheries management: three examplesSociety and Natural Resources 5 391CrossRefGoogle Scholar
Mercken, L.Snijders, T. A. B.Steglich, C.Vriesa, H. D. 2009 Dynamics of adolescent friendship networks and smoking behavior: social network analyses in six European countriesSocial Science and Medicine 69 1506CrossRefGoogle ScholarPubMed
Millennium Ecosystem Assessment 2005 Ecosystems and Human Well-being: SynthesisWashington, DCIsland PressGoogle Scholar
Newig, J.Günther, D.Pahl-Wostl, C. 2009
Pahl-Wostl, C.Craps, M.Dewulf, E.Tabara, D.Taillieu, T. 2007 Social learning and water resources managementEcology and Society 12 5CrossRefGoogle Scholar
Pea, R. 1993 Practices of distributed intelligence and designs for educationSalomon, G.Distributed Cognitions: Psychological and Educational ConsiderationsCambridgeCambridge University Press47Google Scholar
Peak District National Park 2004 State of the Park Report (update)BakewellPeak District National Park AuthorityGoogle Scholar
Prell, C. 2011 Social Network Analysis: History, Theory, and MethodologyLondonSageGoogle Scholar
Prell, C.Hubacek, K.Quinn, C.Reed, M. 2008 ‘Who’s in the network?’ When stakeholders influence data analysisSystemic Practice and Action Research 21 443CrossRefGoogle Scholar
Prell, C.Hubacek, K.Reed, M. 2009 Stakeholder analysis and social network analysis in natural resource managementSociety and Natural Resources 22 501CrossRefGoogle Scholar
Prell, C.Hubacek, K.Reed, M. 2007 If you have a hammer everything looks like a nail: ‘traditional’ versus participatory model buildingInterdisciplinary Science Review 32 263CrossRefGoogle Scholar
Prell, C.Hubacek, K.Reed, M.Racin, L.
Reed, M.Bonn, A.Slee, W. 2010 The future of the uplandsLand Use Policy 26S S204Google Scholar
Reed, M.Evely, A.Cundill, G.
Reed, M. S.Hubacek, K.Prell, C. 2005
Rist, S.Chidambaranathan, M.Escobar, C.Wiesmann, U.Zimmermann, A. 2007 Moving from sustainable management to sustainable governance of natural resources: the role of social learning process in rural India, Bolivia and MaliJournal of Rural Studies 23 23CrossRefGoogle Scholar
Schusler, T. M.Decker, D. J. 2003 Social learning for collaborative natural resource managementSociety and Natural Resources 15 309CrossRefGoogle Scholar
Schwenk, G.Reimer, T. 2008 Simple heuristics in complex networks: models of social influenceJournal of Artificial Societies and Social Simulation 11 4Google Scholar
Valente, T. W. 1995 Network Models of the Diffusion of InnovationsCresskill, NJHampton PressGoogle ScholarPubMed
Valente, T. W.Davis, R. 1999 Accelerating the diffusion of innovations using opinion leadersAnnals of the American Academy of Political and Social Science 566 55CrossRefGoogle Scholar
Wellman, B. 1988 Structural analysis: from method and metaphor to theory and substanceWellman, B.Berkowitz, S. D.Social Structures: A Network ApproachCambridgeCambridge University Press19Google Scholar
Wenger, E. 1998 Communities of Practice: Learning, Meaning, and IdentityNew York, NYCambridge University PressCrossRefGoogle Scholar
Winter, S.Prozesky, H.Esler, K. 2007 A case study of landholder attitudes and behaviour toward the conservation of Renosterveld, a critically endangered vegetation type in Cape Floral Kingdom, South AfricaEnvironmental Management 40 46CrossRefGoogle ScholarPubMed
Worrall, F.Reed, M.Warburton, J.Burt, T. 2003 Carbon budget for a British upland peat catchmentScience of the Total Environment 312 133CrossRefGoogle ScholarPubMed
Yamaguchi, K. 2000 Power in mixed exchange networks: a rational choice modelSocial Networks 22 93CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×