Kooperativer Bibliotheksverbund

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Format: 1 online resource (392 pages)

Edition: 1st ed.

ISBN: 9780521766296 , 9781139099448

Content: Featuring contributions from a range of researchers, this is the first book to fully explore the potential applications of Social Network Analysis in the context of natural resource management. This is an ideal resource for students and researchers involved in natural resource management, environmental biology, sustainability science and sociology

Note: Intro -- Cover -- Social Networks and Natural Resource Management -- Title -- Copyright -- Contents -- Contributors -- Foreword -- Part I Introduction -- 1 A social relational approach to natural resource governance -- 1.1 THE SOCIAL DIMENSION OF SUSTAINABLE DEVELOPMENT -- 1.2 A NEED FOR A SOCIAL RELATIONAL APPROACH IN STUDYING NATURAL RESOURCE GOVERNANCE -- 1.3 A SOCIAL RELATIONAL APPROACH -- 1.3.1 Body of background knowledge -- 1.3.2 Problems addressed -- 1.3.3 Aims -- 1.3.4 Methods -- 1.4 HOW DOES THE RELATIONAL PERSPECTIVE RELATE TO COMMONLY APPLIED THEORIES IN STUDIES OF RESOURCE GOVERNANCE? -- 1.4.1 Common-pool resource management -- 1.4.2 Developing knowledge of complex ecosystems -- 1.4.3 Collaborative management of boundary-spanning natural resources -- 1.4.4 A social relational approach as the common denominator -- 1.5 SOCIAL RELATIONAL APPROACHES IN NATURAL RESOURCE GOVERNANCE RESEARCH UP UNTIL NOW -- 1.5.1 The binary metaphorical approach -- 1.5.2 The descriptive approach -- 1.5.3 The structurally explicit approach -- 1.6 WHY DO WE NEED THIS BOOK? -- 1.7 WHO SHOULD READ THIS BOOK? -- 1.8 HOW IS THE BOOK ORGANIZED? -- REFERENCES -- 2 Some basic structural characteristics of networks -- 2.1 BASIC VOCABULARY -- 2.2 FUNDAMENTAL CONCEPTS IN SNA -- 2.2.1 Actor level concepts: ego networks and centrality in complete networks -- 2.2.2 Tie level -- 2.2.3 Subgroups: cohesive subgroups (modularity) -- roles and positions (blocks, equivalence, core-periphery) -- 2.3 NETWORK LEVEL -- 2.3.1 Density and centralization -- 2.4 SUMMARY AND CONCLUSIONS: MIXING LEVELS OF ANALYSIS -- REFERENCES -- 3 Combining social network approaches with social theories to improve understanding of natural resource governance -- 3.1 INTRODUCTION -- 3.2 A NEW APPROACH TO NATURAL RESOURCE GOVERNANCE , 10 The role of individual attributes in the practice of information sharing among fishers from Loreto, BCS, Mexico -- 10.1 INTRODUCTION -- 10.1.1 Social inbreeding or homophily -- 10.2 METHODS -- 10.2.1 Hypotheses -- 10.2.2 Actor attributes -- 10.2.2.1 Place of birth and years living in the community -- 10.2.2.2 Years of fishing experience and seasonal migration -- 10.2.2.3 Occupational preference -- 10.2.3 Analysis -- 10.3 RESULTS -- 10.4 DISCUSSION -- 10.4.1 Individual attributes and importance of social relations -- 10.4.2 Information sharing and collective action -- 10.4.3 Latent and manifest function of social networks -- 10.4.4 Integrating actors' attributes and emergent properties -- 10.5 CONCLUDING REMARKS -- ACKNOWLEDGMENT -- REFERENCES -- 11 Transformative collective action: a network approach to transformative change in ecosystem-based management -- 11.1 INTRODUCTION -- 11.1.1 Transformative change processes as a subfield of social-ecological studies -- 11.1.2 Collective action processes: lessons from social movement studies -- 11.2 THE CASE STUDY, METHODS, DATA, AND RESULTS -- 11.2.1 Step 1: Using blockmodeling to reveal underlying network structure -- 11.2.2 Step 2: Identifying types of collective action processes -- 11.3 DISCUSSION -- 11.3.1 Network-level mechanisms and the interlinking of collective action processes -- 11.3.2 Explaining single events and bursts of activity -- 11.3.3 A social network approach to transformative change -- 11.4 CONCLUSION -- APPENDIX A11.1 -- Blockmodeling using structural equivalence -- REFERENCES -- 12 Social networks, joint image building, and adaptability: the case of local fishery management -- 12.1 THE CHALLENGES OF NATURAL RESOURCE GOVERNANCE -- 12.2 THE EMPIRICAL CASE OF LOCAL FISHERY MANAGEMENT -- 12.3 SOCIAL NETWORKS AND ADAPTIVE GOVERNANCE -- 12.3.1 The foundation of a network approach , 12.3.2 The importance of closure and bridging , 3.3 COLLABORATIVE PROCESSES AND RESOURCE GOVERNANCE - EXPLORING THE LINK THROUGH SOCIAL NETWORK ANALYSIS -- 3.3.1 Stakeholders and resource mobilization -- 3.3.2 Agency and entrepreneurship in natural resource governance -- 3.3.3 Social influence and social capital - oiling the machinery of natural resource governance -- 3.4 LEARNING - TOWARDS MORE ADAPTIVE RESOURCE GOVERNANCE -- 3.5 CONCLUDING REMARKS -- REFERENCES -- Part II Case studies -- 4 Barriers and opportunities in transforming to sustainable governance: the role of key individuals -- 4.1 INTRODUCTION -- 4.2 THE CASE SETTING -- 4.3 METHODS -- 4.3.1 Which social network is most relevant? -- 4.3.2 Personal characteristics of relevance -- 4.3.3 Identifying the key individuals -- 4.3.4 A note on the direction of causality -- 4.4 IDENTIFYING POTENTIAL AGENTS OF CHANGE -- 4.5 INDIVIDUAL CHARACTERISTICS AND POTENTIAL AGENCY FOR CHANGE -- REFERENCES -- 5 Social network analysis for stakeholder selection and the links to social learning and adaptive co-management -- 5.1 INTRODUCTION -- 5.2 UNCERTAINTIES AND LEARNING: OUR PROJECT AIMS -- 5.3 STUDY SITE: THE PEAK DISTRICT NATIONAL PARK -- 5.3.1 The first phase: scoping study -- 5.3.1.1 Establishing study region boundaries -- 5.3.1.2 Identifying ecosystem services and associated stakeholders -- 5.3.1.3 Categorization based on ecosystem services or land uses -- 5.3.1.4 Issue selection, geographic boundary, and ecological scale -- 5.3.1.5 Social network analysis and larger ecological context -- 5.3.1.6 Presenting initial findings to stakeholders: building bridges with stakeholders -- 5.3.2 Second phase: more funds, stakeholder involvement, and new social network analysis -- 5.3.2.1 Social network analysis for social learning interventions and diffusion -- 5.4 CONNECTING TO THE WIDER LITERATURE -- 5.5 CONCLUSIONS -- REFERENCES , 6 Who and how: engaging well-connected fishers in social networks to improve fisheries management and conservation -- 6.1 INTRODUCTION -- 6.1.1 Centrality in social networks -- 6.1.2 Forecasting centrality using individual attributes -- 6.1.3 Network centrality and scale -- 6.1.4 Engaging actors in conservation and natural resource governance -- 6.2 METHODS -- 6.2.1 Study area -- 6.2.2 Fieldwork and analysis -- 6.3 RESULTS -- 6.3.1 Degree and power-based centrality -- 6.3.2 Factors forecasting centrality -- 6.4 DISCUSSION -- 6.4.1 Degree and power-based centrality -- 6.4.2 Participatory policies for conservation and natural resource governance -- 6.4.3 New institutionalism in conservation and natural resource management -- 6.4.4 The social relational view -- 6.4.5 Social and emotional engaging strategy -- 6.5 CONCLUDING REMARKS -- ACKNOWLEDGMENT -- REFERENCES -- 7 The effects of social network ties on the public's satisfaction with forest management in British Columbia, Canada -- 7.1 INTRODUCTION -- 7.1.1 Objectives/contents of this chapter -- 7.2 LITERATURE/BACKGROUND -- 7.2.1 Social networks and social capital -- 7.2.2 Social movement and social networks -- 7.2.3 Social networks and natural resources -- 7.2.4 Research questions -- 7.2.5 Why is understanding satisfaction with forest management important in British Columbia? -- 7.2.6 Environmentalist campaigns over forestry -- 7.2.7 Hypotheses and theoretical rationale -- 7.2.8 Diffusion of information -- 7.2.9 Social comparison and social influence -- 7.3 METHODS -- 7.3.1 Sample design -- 7.3.2 Survey design -- 7.3.3 Measures -- 7.3.3.1 Satisfaction with forest management (dependent variable) -- 7.3.3.2 Social network ties (independent variables) -- 7.4 RESULTS -- 7.4.1 Using weak ties to ENGO members to predict satisfaction with forest management , 7.4.2 Using ties to close friend ENGO members to predict satisfaction with forest management -- 7.4.3 Full model comparing weak ties to strong ties with ENGO members to predict satisfaction with forest management -- 7.5 DISCUSSION -- REFERENCES -- 8 Social network models for natural resource use and extraction -- 8.1 INTRODUCTION: ORIENTATION TO NETWORK ANALYSIS FOR NATURAL RESOURCE USAGE -- 8.1.1 Example: the Maine lobster fishery -- 8.1.2 Research questions related to social networks and natural resource usage -- 8.1.3 Limitations and pitfalls of social network analysis -- 8.2 THE FUNDAMENTAL MODELS FOR SOCIAL NETWORK ANALYSIS: INFLUENCE AND SELECTION -- 8.2.1 Influences on a fisherman's natural resource usage -- 8.2.2 The selection of interaction partners -- 8.3 APPLICATION OF THE MODELS TO CHAPTER 4 -- 8.4 DISCUSSION -- 8.4.1 New trends in social network analysis -- 8.4.1.1 Agent-based models via computer simulation -- 8.4.2 Implications for managers -- 8.5 CONCLUSION -- 8.6 TECHNICAL APPENDIX -- 8.6.1 Estimation of social network models -- REFERENCES -- 9 Friends or neighbors? Subgroup heterogeneity and the importance of bonding and bridging ties in natural resource governance -- 9.1 INTRODUCTION -- 9.2 THE CASE STUDY SETTING -- 9.3 METHODS -- 9.3.1 Defining the study population -- 9.3.2 Defining and measuring appropriate networks -- 9.3.3 Assessing local ecological knowledge -- 9.3.4 Network analysis -- 9.4 LOCAL ECOLOGICAL KNOWLEDGE - DIFFERENCES AND SIMILARITIES AMONG GROUPS -- 9.5 NETWORK STRUCTURE AND THE COMPOSITION AND CONNECTIVITY AMONG SUBGROUPS -- 9.6 SUBGROUPS AND LOCAL ECOLOGICAL KNOWLEDGE DISTRIBUTION -- 9.7 SUBGROUPS AND COLLECTIVE ACTION -- 9.7.1 Bonding and bridging ties -- 9.7.2 Who is occupying key positions? -- 9.8 CONCLUDING REMARKS -- REFERENCES

Additional Edition: Print version Bodin, Örjan Social Networks and Natural Resource Management Cambridge : Cambridge University Press,c2011 ISBN 9780521766296

Language: English

Keywords: Electronic books

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