A partner-driven decision support model to inform the reintroduction of bull trout
Assessments of species reintroductions involve a series of complex decisions that include human perspectives and ecological contexts. Here, we present a reintroduction assessment involving bull trout (Salvelinus confluentus) using a structured decision-making process. We approached this assessment by engaging partners representing public utilities, government agencies, and Tribes with shared interests in a potential reintroduction. These individuals identified objectives, decision alternatives, and ecological scenarios that were incorporated into a co-produced simulation-based model of potential reintroduction outcomes. The model included mathematical representations of habitat availability, life history expression, and assumptions regarding constraints on potential bull trout populations. Within each recipient stream, partners chose to explore a wide range of decision alternatives and simulated scenarios affecting reintroduction success. Results suggested that 1) reintroductions using eggs or adults were most optimal, 2) adding more individuals resulted in diminishing returns, 3) access to migratory habitat could improve success, and 4) the diversity of opportunities for life history expression led to improved reintroduction opportunities. In addition, modeled scenarios indicated some recipient streams consistently produced lower abundance of reintroduced bull trout. This work contributes a novel example to a growing portfolio of reintroduction assessments that may inform future conservation for bull trout and many other species facing similar challenges.
Citation Information
Publication Year | 2025 |
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Title | A partner-driven decision support model to inform the reintroduction of bull trout |
DOI | 10.1371/journal.pone.0323427 |
Authors | Joseph R. Benjamin, Judith Neibauer, Hugh Anthony, Jose Vazquez, Ashley Rawhouser, Jason B. Dunham |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | PLoS ONE |
Index ID | 70266550 |
Record Source | USGS Publications Warehouse |
USGS Organization | Forest and Rangeland Ecosystem Science Center |