Well grounded: Indigenous Peoples' knowledge, ethnobiology and sustainability

Abstract The biological knowledge and associated values and beliefs of Indigenous and other long‐resident Peoples are often overlooked and underrepresented in governance, planning and decision‐making at local, regional, national and international levels. Ethnobiology—the study of the dynamic relationships among peoples, biota and environments—is a field that places Indigenous Peoples' ecological knowledge and ways of knowing at the forefront of research interests, particularly in relation to the importance of biocultural diversity in sustaining the Earth's Ecosystems. In this paper, we examine the nature and significance of Indigenous Peoples' knowledge systems concerning environmental sustainability, as documented in collaborative ethnobiological research. We emphasize the diverse aspects of Indigenous knowledge in conservation, and the role played by ethnobiologists in respectfully highlighting this knowledge, and link these to the Intergovernmental Science‐Policy Platform on Biodiversity and Ecosystem Services Global Assessment's key levers and leverage points for enabling the transformative change required for achieving more sustainable lifeways. Drawing on diverse ways of knowing—respectfully, collaboratively, ethically and reciprocally—can help provide more detailed knowledge of local ecosystems, and guide all humans towards greater sustainability. From environmental monitoring, to building relationships with plants and the land, to ecological restoration, there are many lessons and ways in which the intersections between Indigenous knowledge and ethnobiology can inform and contribute to the future of humanity and other life on earth. Read the free Plain Language Summary for this article on the Journal blog.

Abstract licence: CC BY

1. 69.

   Connecting Diverse Knowledge Systems for Enhanced Ecosystem Governance: The Multiple Evidence Base Approach · 2014

192 more references, whose wording the paper’s licence keeps private.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.