LAUSR

Abstract The assisted migration (AM) of trees is increasingly being proposed and trialed to adapt forest management to the impacts of climate change. While institutional and risk perception dimensions of AM are increasingly well-studied, a key gap that remains is to understand how current institutional practices shape the types of knowledge that are considered in AM policy development, and how this in turn makes visible different risks and benefits. In this study, we use a politics of knowledge lens applied to the case of British Columbia, Canada, where AM policy is currently in place, to examine the types of knowledge informing AM thus far, and how that knowledge shapes perceived AM risks and ways of addressing them. Based on 27 in-depth, semi-structured interviews with key government employees and forest industry professionals involved with the development and implementation of AM, we find an overall optimistic view of AM. However, the type of knowledge deemed credible to inform AM decision-making is restricted to biophysical, model-based, scientific knowledge. This primarily biophysical framing of AM arises from the objectives and worldviews of actors working in the AM space and gives rise to relatively narrow ways of understanding potential AM risks and solutions to them. While policymakers and government scientists recognize the need to engage industry, Indigenous Peoples, and the general public, these groups are seen as knowledge receivers. We argue that these beliefs about what counts as credible expertise (and who can produce it) have served to exclude other knowledge forms from being considered in decision-making, and in so doing, have limited possibilities for generating transformative change.