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Global analysis of social learning’s archetypes in natural resource management: understanding pathways of co-creation of knowledge

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Listed:
  • Michelle Bonatti

    (Leibniz Centre for Agricultural Landscape Research (ZALF e. V)
    Humboldt University of Berlin)

  • Marcos Lana

    (Swedish University of Agricultural Sciences)

  • Leonardo Medina

    (Leibniz Centre for Agricultural Landscape Research (ZALF e. V)
    Humboldt University of Berlin)

  • Paul Chevelev

    (University of Potsdam)

  • Carla Baldivieso

    (Leibniz Centre for Agricultural Landscape Research (ZALF e. V)
    Humboldt University of Berlin)

  • Carla Erismann

    (Leibniz Centre for Agricultural Landscape Research (ZALF e. V)
    Humboldt University of Berlin)

  • Pia Gleich

    (Technische Universität Berlin)

  • Tatiana Rodriguez

    (Helmholtz Centre for Environmental Research GmbH (UFZ))

  • Luca Eufemia

    (WWF Mediterranean Marine Initiative)

  • Teresa Silva Rosa
  • Juliano Borba

    (Florianópolis City Hall)

  • Custodio Matavel

    (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB))

  • Sandro Schlindwein

    (Federal University of Santa Catarina)

  • Ray Ison

    (The Open University)

  • Klaus Eisenack

    (Humboldt University of Berlin)

  • Jon Hellin

    (IRRI CGIAR International Rice Research Institute)

  • Grazia Pacillo

    (CIAT - CGIAR Climate Security Office)

  • Vincent Vadez

    (University of Montpellier, Bridge Consortium
    Laboratoire Mixte International, Campus ENSA)

  • Jérôme Bossuet

    (University of Montpellier, Bridge Consortium
    University of Montpellier)

  • Aleksandra Dolinska
  • Stefan Sieber

    (Leibniz Centre for Agricultural Landscape Research (ZALF e. V)
    Humboldt University of Berlin)

Abstract

Although social learning (SL) conceptualization and implementation are flourishing in sustainability sciences, and its non-rigid conceptual fluidity is regarded as an advantage, research must advance the understanding of SL phenomenon patterns based on empirical data, thus contributing to the identification of its forms and triggering mechanisms, particularly those that can address urgent Anthropocene socio-ecological problems. This study aims to discover fundamental patterns along which SL in natural resources management differs by identifying SL archetypes and establishing correlations between the SL process and overall geopolitical conditions. Using a systematic literature review comprising 137 case studies in the five continents, content analysis, and correlations were performed. Results show two main archetypes of social learning (endogenous and exogenous). Their occurrence was linked, to where social learning occurs and how venues/preconditions for social learning are placed. In the Global South, endogenous SL should be better potentialized as a catalyzer of deliberative processes for sustainable natural resources management.

Suggested Citation

  • Michelle Bonatti & Marcos Lana & Leonardo Medina & Paul Chevelev & Carla Baldivieso & Carla Erismann & Pia Gleich & Tatiana Rodriguez & Luca Eufemia & Teresa Silva Rosa & Juliano Borba & Custodio Mata, 2024. "Global analysis of social learning’s archetypes in natural resource management: understanding pathways of co-creation of knowledge," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03590-5
    DOI: 10.1057/s41599-024-03590-5
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    References listed on IDEAS

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    1. Michelle Bonatti & Juliano Borba & Katharina Löhr & Crystal Tremblay & Stefan Sieber, 2021. "Social Learning and Paulo Freire Concepts for Understanding Food Security Cases in Brazil," Agriculture, MDPI, vol. 11(9), pages 1-11, August.
    2. Patti Kristjanson & Blane Harvey & Marissa Van Epp & Philip K. Thornton, 2014. "Social learning and sustainable development," Nature Climate Change, Nature, vol. 4(1), pages 5-7, January.
    3. M. Muro & P. Jeffrey, 2008. "A critical review of the theory and application of social learning in participatory natural resource management processes," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 51(3), pages 325-344.
    4. Ison, Ray & Blackmore, Chris & Iaquinto, Benjamin L., 2013. "Towards systemic and adaptive governance: Exploring the revealing and concealing aspects of contemporary social-learning metaphors," Ecological Economics, Elsevier, vol. 87(C), pages 34-42.
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