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A systematic mapping protocol for understanding knowledge exchange in forest science

dc.contributor.authorWestwood, Alana Rachel
dc.contributor.authorHutchen, Jenna
dc.contributor.authorKapoor, Tyreen
dc.contributor.authorKlenk, Kimberly
dc.contributor.authorSaturno, Jacquelyn
dc.contributor.authorWang, Jonathan
dc.contributor.authorFalconer, Matthew
dc.contributor.authorNguyen, Vivian
dc.date.accessioned2023-01-27T15:23:13Z
dc.date.available2023-01-27T15:23:13Z
dc.date.issued5/8/2021
dc.descriptionJournal article and associated datasets and appendices.en_US
dc.description.abstract1. When making decisions about forest and environmental management, managers and policymakers often rely upon scientific knowledge. There is awell-documented ‘knowledge–integration gap’ where often the production of knowledge and its use are not aligned. Though there are several theoretical frameworks that conceptualize how knowledge is exchanged between producers of scientific knowledge and users of that information, there has been little attention to documenting knowledge exchange practices and their effectiveness, especially about forests. 2. In the systematic map, we will examine the peer-reviewed academic and grey literature to document and classify the knowledge exchange techniques suggested and adopted by knowledge producers and users in the forest sciences globally. Characterizing this knowledge exchange landscape will provide new information about which techniques are used and their frequency, if there is evidence of effectiveness for particular techniques, and recommendations for best practices. This map will also show whether approaches to knowledge exchange differ between sectors (e.g. academia, government). 3. We will create a systematic literature map as defined by the Collaboration for Environmental Evidence to capture case studies of, or theories about, knowledge exchange related to forest science. The search of peer-reviewed academic and grey literaturewill be conducted in English and French in two academic databases (BASE and Scopus) and one specialist database (ResearchGate). Candidate search strings will be evaluated against a test list of documents to determine strings with maximum sensitivity and specificity. Eligibility criteria will be applied to items at two screening stages: (1) title and abstract and (2) full-text. All screening decisions will be recorded in a databasewith 15% of full-text screening decisions validated. Items retained for inclusion will have data extracted according to a standardized strategy. Each reviewer conducting data extraction will have at least three of their extractions validated. 4. The systematic map will employ a narrative synthesis approach that includes descriptive statistics, tables, and figures which describe the types and frequency of knowledge exchange techniques theorized or described, a network map displaying the institutions within and between which knowledge exchange occurs, as well as summarizing any available evidence of effectiveness for particular knowledge exchange techniques.en_US
dc.identifier.citationWestwood, A., Hutchen, J., Kapoor, T., Klenk, K., Saturno, J., Wang, J., Falconer, M., Nguyen, V. 2021. A systematic mapping protocol for understanding knowledge exchange in forest science. Ecological Solutions and Evidence, 2: e12096. http://hdl.handle.net/10222/82259en_US
dc.identifier.urihttp://hdl.handle.net/10222/82259
dc.identifier.urihttps://doi.org/10.1002/2688-8319.12096
dc.publisherWiley & Sonsen_US
dc.relation.ispartofEcological Solutions & Evidenceen_US
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA systematic mapping protocol for understanding knowledge exchange in forest scienceen_US
dc.typeArticleen_US
dc.typeDataseten_US

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