The Open UniversitySkip to content
 

Bridging indigenous and scientific knowledge

Mistry, Jayalaxshmi and Berardi, Andrea (2016). Bridging indigenous and scientific knowledge. Science, 352(6291) pp. 1274–1275.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (200kB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1126/science.aaf1160
Google Scholar: Look up in Google Scholar

Abstract

Indigenous land use practices have a fundamental role to play in controlling deforestation and reducing carbon dioxide emissions. Satellite imagery suggests that indigenous lands contribute substantially to maintaining carbon stocks and enhancing biodiversity relative to adjoining territory. Many of these sustainable land use practices are born, developed, and successfully implemented by the community without major influence from external stakeholders. A prerequisite for such community-owned solutions is indigenous knowledge, which is local and context-specific, transmitted orally or through imitation and demonstration, adaptive to changing environments, collectivized through a shared social memory, and situated within numerous interlinked facets of people's lives. Such local ecological knowledge is increasingly important given the growing global challenges of ecosystem degradation and climate change.

Item Type: Journal Item
ISSN: 1095-9203
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: International Development & Inclusive Innovation
Related URLs:
Item ID: 55342
Depositing User: Andrea Berardi
Date Deposited: 07 Jun 2018 14:51
Last Modified: 09 May 2019 14:22
URI: http://oro.open.ac.uk/id/eprint/55342
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU