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Designed to be “wilderness” spaces with minimal human impact, the establishment of national parks contributed to dispossessing Indigenous peoples from traditional territories across North America, preventing access to dwindling populations of wildlife essential to cultural and material well-being. With the systematic near extermination of buffalo during the nineteenth century and forcible relocation of Tribes onto reservations, Tribal food systems collapsed. Tribal Nations across the Great Plains are now restoring buffalo to support food sovereignty and political resurgence, while re-asserting a presence in national parks where Indigenous hunting remains prohibited. This article focuses on the Blackfoot-led Iinnii Initiative working to restore free-roaming buffalo (Bison bison) along the Rocky Mountain Front, supported by Glacier and Waterton Lakes National Parks. Recognizing Tribal rights to hunt buffalo in these parks would enable Tribal hunters to exercise practices that challenge the idea of national parks as wilderness. We coproduce this article as Blackfoot and non-Indigenous scholars and activists, drawing on interviews with restoration practitioners, Blackfoot knowledge holders, and park and other government officials to explore distinct narratives of what it would mean to enable Tribal hunting in national parks, with implications for food sovereignty, political resurgence, and wildlife management. We argue that openness within parks agencies to Indigenous hunting suggests a potential watershed moment for reimagining the role of people in parks. Through this, we examine important links between food sovereignty, political sovereignty, biodiversity conservation, and decolonization. 

Abstract Low nitrogen use efficiency (NUE) is ubiquitous in agricultural systems, with mounting global scale consequences for both atmospheric aspects of climate and downstream ecosystems. Since NUE-related soil characteristics such as water holding capacity and organic matter are likely to vary at small scales (< 1 ha), understanding the influence of soil characteristics on NUE at the subfield scale (< 32 ha) could increase fertilizer NUE. Here, we quantify NUE in four conventionally managed dryland winter-wheat fields in Montana following multiple years of sub-field scale variation in experimental N fertilizer applications. To inform farmer decisions that incorporates NUE, we developed a generalizable model to predict subfield scale NUE by comparing six candidate models, using ecological and biogeochemical data gathered from open-source data repositories and from normal farm operations, including yield and protein monitoring data. While NUE varied across fields and years, efficiency was highest in areas of fields with low N availability from both fertilizer and estimated mineralization of soil organic N (SON). At low levels of applied N, distinct responses among fields suggest distinct capacities to supply non-fertilizer plant-available N, suggesting that mineralization supplies more available N in locations with higher total N, reducing efficiency for any applied rate. Comparing modelling approaches, a random forest regression model of NUE provided predictions with the least error relative to observed NUE. Subfield scale predictive models of NUE can help to optimize efficiency in agronomic systems, maximizing both economic net return and NUE, which provides a valuable approach for optimization of nitrogen fertilizer use.