Climate change and vulnerability of bull trout (Salvelinus confluentus) in a fire-prone landscape

Linked atmospheric and wildfire changes will complicate future management of native coldwater fishes in fire-pronelandscapes, and new approaches to management that incorporate uncertainty are needed to address this challenge. We used aBayesian network (BN) approach to evaluate population vulnerability of bull trout (Salvelinus confluentus) in the Wenatchee Riverbasin, Washington, USA, under current and future climate and fire scenarios. The BN was based on modeled estimates ofwildfire, water temperature, and physical habitat prior to, and following, simulated fires throughout the basin. We found thatbull trout population vulnerability depended on the extent to which climate effects can be at least partially offset by managingfactors such as habitat connectivity and fire size. Moreover, our analysis showed that local management can significantly reducethe vulnerability of bull trout to climate change given appropriate management actions. Tools such as our BN that explicitlyintegrate the linked nature of climate and wildfire, and incorporate uncertainty in both input data and vulnerability estimates,will be vital in effective future management to conserve native coldwater fishes.