Prestige and homophily predict network structure for social learning of medicinal plant knowledge

PLoS One. 2020 Oct 8;15(10):e0239345. doi: 10.1371/journal.pone.0239345. eCollection 2020.

Abstract

Human subsistence societies have thrived in environmental extremes while maintaining biodiversity through social learning of ecological knowledge, such as techniques to prepare food and medicine from local resources. However, there is limited understanding of which processes shape social learning patterns and configuration in ecological knowledge networks, or how these processes apply to resource management and biological conservation. In this study, we test the hypothesis that the prestige (rarity or exclusivity) of knowledge shapes social learning networks. In addition, we test whether people tend to select who to learn from based on prestige (knowledge or reputation), and homophily (e.g., people of the same age or gender). We used interviews to assess five types of medicinal plant knowledge and how 303 people share this knowledge across four villages in Solomon Islands. We developed exponential random graph models (ERGMs) to test whether hypothesized patterns of knowledge sharing based on prestige and homophily are more common in the observed network than in randomly simulated networks of the same size. We found that prestige predicts five hypothesized network configurations and all three hypothesized learning patterns, while homophily predicts one of three hypothesized network configurations and five of the seven hypothesized learning patterns. These results compare the strength of different prestige and homophily effects on social learning and show how cultural practices such as intermarriage can affect certain aspects of prestige and homophily. By advancing our understanding of how prestige and homophily affect ecological knowledge networks, we identify which social learning patterns have the largest effects on biocultural conservation of ecological knowledge.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Biodiversity
  • Humans
  • Interviews as Topic
  • Knowledge*
  • Melanesia
  • Plants, Medicinal* / growth & development
  • Social Learning*
  • Social Networking

Associated data

  • Dryad/10.5061/dryad.cfxpnvx3q

Grants and funding

MOB was funded by a National Science Foundation Graduate Research Fellowship (https://www.nsfgrfp.org), the American Philosophical Society Lewis & Clark Fund for Exploration & Field Research (https://www.amphilsoc.org/grants/lewis-and-clark-fund-exploration-and-field-research), and the Garden Club of America Anne S. Chatham Fellowship in Medicinal Botany (https://www.gcamerica.org/scholarships/details/id/8). OGG was funded by a National Science Foundation Grant #1513354 (https://www.nsf.gov/index.jsp), and a start up grant from the University of Tennessee Knoxville (https://research.utk.edu/forms/start_up_funds/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.