One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins

Monitoring methods based on Indigenous knowledge have the potential to contribute to our understanding of large watersheds. Research in large, complex, and dynamic ecosystems suggests a participatory approach to monitoring—that builds on the diverse knowledges, practices, and beliefs of local people...

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Published in:Sustainability
Main Authors: Brenda Parlee, Henry Huntington, Fikret Berkes, Trevor Lantz, Leon Andrew, Joseph Tsannie, Cleo Reece, Corinne Porter, Vera Nicholson, Sharon Peter, Deb Simmons, Herman Michell, Melody Lepine, Bruce Maclean, Kevin Ahkimnachie, Lauren J. King, Art Napoleon, Joella Hogan, Jen Lam, Kristin Hynes, J.D. Storr, Sarah Lord, Mike Low, Jeanette Lockhart, Diane Giroux, Mike Tollis, Lana Lowe, Elaine Maloney, Tracy Howlett
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/su13137400
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spelling ftmdpi:oai:mdpi.com:/2071-1050/13/13/7400/ 2023-08-20T04:07:54+02:00 One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins Brenda Parlee Henry Huntington Fikret Berkes Trevor Lantz Leon Andrew Joseph Tsannie Cleo Reece Corinne Porter Vera Nicholson Sharon Peter Deb Simmons Herman Michell Melody Lepine Bruce Maclean Kevin Ahkimnachie Lauren J. King Art Napoleon Joella Hogan Jen Lam Kristin Hynes J.D. Storr Sarah Lord Mike Low Jeanette Lockhart Diane Giroux Mike Tollis Lana Lowe Elaine Maloney Tracy Howlett agris 2021-07-01 application/pdf https://doi.org/10.3390/su13137400 EN eng Multidisciplinary Digital Publishing Institute Environmental Sustainability and Applications https://dx.doi.org/10.3390/su13137400 https://creativecommons.org/licenses/by/4.0/ Sustainability; Volume 13; Issue 13; Pages: 7400 environmental change indicators Indigenous knowledge community-based monitoring watersheds Mackenzie River Basin Canada Text 2021 ftmdpi https://doi.org/10.3390/su13137400 2023-08-01T02:06:08Z Monitoring methods based on Indigenous knowledge have the potential to contribute to our understanding of large watersheds. Research in large, complex, and dynamic ecosystems suggests a participatory approach to monitoring—that builds on the diverse knowledges, practices, and beliefs of local people—can yield more meaningful outcomes than a “one-size-fits-all” approach. Here we share the results of 12 community-based, participatory monitoring projects led by Indigenous governments and organizations in the Mackenzie River Basin (2015–2018). Specifically, we present and compare the indicators and monitoring methods developed by each of these community-based cases to demonstrate the specificity of place, culture, and context. A scalar analysis of these results suggests that the combination of core (common) indicators used across the basin, coupled with others that are meaningful at local level, create a methodological bricolage—a mix of tools, methods, and rules-in-use that are fit together. Our findings, along with those of sister projects in two other major watersheds (Amazon, Mekong), confront assumptions that Indigenous-led community-based monitoring efforts are too local to offer insights about large-scale systems. In summary, a networked approach to community-based monitoring that can simultaneously engage with local- and watershed-level questions of social and ecological change can address gaps in knowledge. Such an approach can create both practices and outcomes that are useful to local peoples as well as to those engaged in basin-wide governance. Text Mackenzie river MDPI Open Access Publishing Mackenzie River Canada Sustainability 13 13 7400
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic environmental change
indicators
Indigenous knowledge
community-based monitoring
watersheds
Mackenzie River Basin
Canada
spellingShingle environmental change
indicators
Indigenous knowledge
community-based monitoring
watersheds
Mackenzie River Basin
Canada
Brenda Parlee
Henry Huntington
Fikret Berkes
Trevor Lantz
Leon Andrew
Joseph Tsannie
Cleo Reece
Corinne Porter
Vera Nicholson
Sharon Peter
Deb Simmons
Herman Michell
Melody Lepine
Bruce Maclean
Kevin Ahkimnachie
Lauren J. King
Art Napoleon
Joella Hogan
Jen Lam
Kristin Hynes
J.D. Storr
Sarah Lord
Mike Low
Jeanette Lockhart
Diane Giroux
Mike Tollis
Lana Lowe
Elaine Maloney
Tracy Howlett
One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins
topic_facet environmental change
indicators
Indigenous knowledge
community-based monitoring
watersheds
Mackenzie River Basin
Canada
description Monitoring methods based on Indigenous knowledge have the potential to contribute to our understanding of large watersheds. Research in large, complex, and dynamic ecosystems suggests a participatory approach to monitoring—that builds on the diverse knowledges, practices, and beliefs of local people—can yield more meaningful outcomes than a “one-size-fits-all” approach. Here we share the results of 12 community-based, participatory monitoring projects led by Indigenous governments and organizations in the Mackenzie River Basin (2015–2018). Specifically, we present and compare the indicators and monitoring methods developed by each of these community-based cases to demonstrate the specificity of place, culture, and context. A scalar analysis of these results suggests that the combination of core (common) indicators used across the basin, coupled with others that are meaningful at local level, create a methodological bricolage—a mix of tools, methods, and rules-in-use that are fit together. Our findings, along with those of sister projects in two other major watersheds (Amazon, Mekong), confront assumptions that Indigenous-led community-based monitoring efforts are too local to offer insights about large-scale systems. In summary, a networked approach to community-based monitoring that can simultaneously engage with local- and watershed-level questions of social and ecological change can address gaps in knowledge. Such an approach can create both practices and outcomes that are useful to local peoples as well as to those engaged in basin-wide governance.
format Text
author Brenda Parlee
Henry Huntington
Fikret Berkes
Trevor Lantz
Leon Andrew
Joseph Tsannie
Cleo Reece
Corinne Porter
Vera Nicholson
Sharon Peter
Deb Simmons
Herman Michell
Melody Lepine
Bruce Maclean
Kevin Ahkimnachie
Lauren J. King
Art Napoleon
Joella Hogan
Jen Lam
Kristin Hynes
J.D. Storr
Sarah Lord
Mike Low
Jeanette Lockhart
Diane Giroux
Mike Tollis
Lana Lowe
Elaine Maloney
Tracy Howlett
author_facet Brenda Parlee
Henry Huntington
Fikret Berkes
Trevor Lantz
Leon Andrew
Joseph Tsannie
Cleo Reece
Corinne Porter
Vera Nicholson
Sharon Peter
Deb Simmons
Herman Michell
Melody Lepine
Bruce Maclean
Kevin Ahkimnachie
Lauren J. King
Art Napoleon
Joella Hogan
Jen Lam
Kristin Hynes
J.D. Storr
Sarah Lord
Mike Low
Jeanette Lockhart
Diane Giroux
Mike Tollis
Lana Lowe
Elaine Maloney
Tracy Howlett
author_sort Brenda Parlee
title One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins
title_short One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins
title_full One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins
title_fullStr One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins
title_full_unstemmed One-Size Does Not Fit All—A Networked Approach to Community-Based Monitoring in Large River Basins
title_sort one-size does not fit all—a networked approach to community-based monitoring in large river basins
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/su13137400
op_coverage agris
geographic Mackenzie River
Canada
geographic_facet Mackenzie River
Canada
genre Mackenzie river
genre_facet Mackenzie river
op_source Sustainability; Volume 13; Issue 13; Pages: 7400
op_relation Environmental Sustainability and Applications
https://dx.doi.org/10.3390/su13137400
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/su13137400
container_title Sustainability
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