Literature DB >> 29738621

Using social-network research to improve outcomes in natural resource management.

Julie E Groce1, Megan A Farrelly2, Bradley S Jorgensen3, Carly N Cook1.   

Abstract

The conservation and management of natural resources operates in social-ecological systems in which resource users are embedded in social and environmental contexts that influence their management decisions. Characterizing social networks of resource users can be used to inform understanding of social influences on decision making, and social network analysis (SNA) has emerged as a useful technique to explore these relationships. We synthesized how SNA has been used in 85 studies of natural resource management. We considered how social networks and social processes (e.g., interactions between individuals) influence each other and in turn influence social outcomes (e.g., decisions or actions) that affect environmental outcomes (e.g., improved condition). Descriptive methods were used in 58% of the studies to characterize social processes, and 42% of the studies compared multiple networks or multiple points in time to assess social or environmental outcomes. In 4 studies, authors assessed network interventions intended to affect social processes or environmental outcomes. The heterogeneity in case studies, methods, and analyses preclude general lessons. Thus, to structure and further learning about the role of social networks in achieving environmental outcomes, we created a typology that deconstructs social processes, social outcomes, and environmental outcomes into themes and options of social and ecological measures within each. We suggest shifts in research foci toward intervention studies to aid in understanding causality and inform the design of conservation initiatives. There is a need to develop clearer justification and guidance around the proliferation of network measures. The use of SNA in natural resource management is expanding rapidly; thus, now is the time for the conservation community to build a more rigorous evidence base to demonstrate the extent to which social networks can play a role in achieving desired social and environmental outcomes.
© 2018 Society for Conservation Biology.

Keywords:  análisis de redes sociales; biodiversity conservation; conservación de la biodiversidad; environmental outcome; intervención; intervention; medidas de sistema; network metrics; proceso social; resultado ambiental; resultado social; social network analysis; social outcome; social process; teoría del cambio; theory of change; 变革理论; 干预; 环境结果; 生物多样性保护; 社会结果; 社会网络分析; 社会过程; 网络指标

Mesh:

Year:  2018        PMID: 29738621     DOI: 10.1111/cobi.13127

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  4 in total

1.  Improving network approaches to the study of complex social-ecological interdependencies.

Authors:  Ö Bodin; S M Alexander; J Baggio; M L Barnes; R Berardo; G S Cumming; L Dee; A P Fischer; M Fischer; M Mancilla-Garcia; A Guerrero; J Hileman; K Ingold; P Matous; T H Morrison; D Nohrstedt; J Pittman; G Robins; J Sayles
Journal:  Nat Sustain       Date:  2019-07-01

2.  Multiple social network influences can generate unexpected environmental outcomes.

Authors:  J Yletyinen; G L W Perry; P Stahlmann-Brown; R Pech; J M Tylianakis
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

3.  Integrating models of human behaviour between the individual and population levels to inform conservation interventions.

Authors:  Andrew D M Dobson; Emiel de Lange; Aidan Keane; Harriet Ibbett; E J Milner-Gulland
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-29       Impact factor: 6.237

4.  Social-ecological network analysis for sustainability sciences: a systematic review and innovative research agenda for the future.

Authors:  J S Sayles; M Mancilla Garcia; M Hamilton; S M Alexander; J A Baggio; A P Fischer; K Ingold; G R Meredith; J Pittman
Journal:  Environ Res Lett       Date:  2019-08-23       Impact factor: 6.793

  4 in total

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