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

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.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-09-08
DOI
https://doi.org/10.1057/s41599-024-03590-5
Citations
4
Primary Topic
Sustainability and Climate Change Governance
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Aleksandra Dolinska, Carla Baldivieso, Leonardo Medina, Tatiana Rodríguez et al.
4 citations
Humanities and Social Sciences Communications
Sustainability and Climate Change Governance
1.13
article

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

Aleksandra Dolinska, Carla Baldivieso, Leonardo Medina, Tatiana Rodríguez, Michelle Bonatti, Jon Hellin, Sandro Luis Schlindwein, Jérôme Bossuet, Marcos Lana, Klaus Eisenack, Luca Eufemia, Ray Ison, Custódio Matavel, Vincent Vadez, Juliano Borba, Stefan Sieber, Grazia Pacillo, Teresa da Silva Rosa, Pia Gleich, Paul Chevelev, Carla Errismann
article en
4 citations

Abstract

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.

Humanities and Social Sciences CommunicationsVol. 11(1)
Helmholtz Centre for Environmental Research (DE), Hasso Plattner Institute (DE), International Rice Research Institute (PH), University of Potsdam (DE), Université de Montpellier (FR), The Open University (GB), Swedish University of Agricultural Sciences (SE), Humboldt-Universität zu Berlin (DE), Universidade Federal de Santa Catarina (BR), Centre d'Etude Regional pour l'Amelioration de l'Adaptation a la Secheresse (SN), WWF Italia (IT), Leibniz Centre for Agricultural Landscape Research (DE), Diversité, adaptation et développement des plantes (FR), Institute for Sustainable Development (ET), Universidade Vila Velha (BR), Leibniz Institute for Agricultural Engineering and Bioeconomy (DE), Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (BR), Institut de Recherche pour le Développement (FR), Technische Universität Berlin (DE)
Openalex Percentile: Top 23%
Sustainability and Climate Change Governance
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.