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Combining high-resolution remotely sensed data with local and Indigenous Knowledge to model the landscape suitability of culturally modified trees: biocultural stewardship in Kitasoo/Xai’xais Territory

DeRoy Bryant C., Brown Vernon, Service Christina N., Leclerc Martin, Bone Christopher, McKechnie Iain et Darimont Chris T.. (2021). Combining high-resolution remotely sensed data with local and Indigenous Knowledge to model the landscape suitability of culturally modified trees: biocultural stewardship in Kitasoo/Xai’xais Territory. FACETS, 6, (1), p. 465-489.

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URL officielle: http://dx.doi.org/doi:10.1139/facets-2020-0047

Résumé

Environmental management and monitoring must reconcile social and cultural objectives with biodiversity stewardship to overcome political barriers to conservation. Suitability modelling offers a powerful tool for such “biocultural” approaches, but examples remain rare. Led by the Stewardship Authority of the Kitasoo/Xai’xais First Nation in coastal British Columbia, Canada, we developed a locally informed suitability model for a key biocultural indicator, culturally modified trees (CMTs). CMTs are trees bearing evidence of past cultural use that are valued as tangible markers of Indigenous heritage and protected under provincial law. Using a spatial multi-criteria evaluation framework to predict CMT suitability, we developed two cultural predictor variables informed by Kitasoo/Xai’xais cultural expertise and ethnographic data in addition to six biophysical variables derived from LiDAR and photo interpretation data. Both cultural predictor variables were highly influential in our model, revealing that proximity to known habitation sites and accessibility to harvesters (by canoe and foot) more strongly influenced suitability for CMTs compared with site-level conditions. Applying our model to commercial forestry governance, we found that high CMT suitability areas are 51% greater inside the timber harvesting land base than outside. This work highlights how locally led suitability modelling can improve the social and evidentiary dimensions of environmental management.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:2371-1671
Volume:6
Numéro:1
Pages:p. 465-489
Version évaluée par les pairs:Oui
Date:1 Janvier 2021
Nombre de pages:25
Identifiant unique:10.1139/facets-2020-0047
Sujets:Sciences naturelles et génie > Sciences naturelles > Biologie et autres sciences connexes
Département, module, service et unité de recherche:Départements et modules > Département des sciences fondamentales
Unités de recherche > Centre de recherche sur la Boréalie (CREB)
Mots-clés:archaeology, resource management, forestry, GIS, heritage, traditional ecological knowledge
Déposé le:25 oct. 2023 17:43
Dernière modification:27 oct. 2023 19:35
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