Setting a foundation for indigenous knowledge systems-guided boreal caribou (todzı) conservation planning in the western boreal region of Canada: a systematic map protocol.
Abstract
In recent years, researchers have increasingly recognized the need to bridge Western and Indigenous knowledge systems to strengthen research in wildlife conservation. Historically, this arena has not made space for Indigenous knowledge holders to share components of their knowledge systems with agency and to support their own self-determination as equal partners. Since time immemorial, Indigenous Peoples have been developing, maintaining and refining their own knowledge systems, based on intimate knowledge and relationships with the lands, airs, and waterways. There remains enormous potential for Western scientists to engage in equitable knowledge exchange and co-production with Indigenous Peoples. This applies to species such as boreal caribou Rangifer tarandus caribou, known by the Dene name, todzı; which hold ecological value and cultural importance for both Indigenous and non-Indigenous people in the boreal region of Canada. To gain an overarching perspective of this species, we will create a systematic literature map that will examine peer-reviewed and grey literature involving spatial mapping of all species of caribou Rangifer tarandus based on Indigenous knowledge. This map will (a) characterize available data and previously engaged knowledge holders and (b) identify positive experiences that exemplify best practices for knowledge co-production. Searches will be conducted in English in selected databases. Search strings will be tested against a collection of benchmark papers of documents previously chosen to determine strings with maximum sensitivity and specificity. Results will be reviewed through the: (1) title and abstract; and (2) full text. All screening decisions will be recorded in a database, with 10% of full-text screening decisions validated. Items retained for inclusion in the systematic map will be coded using a list of coding questions. Ten percent of coding outcomes will be validated by a second reviewer.