Integrating acoustic telemetry and demographic modeling to inform cisco (Coregonus artedi) restoration in Keuka Lake, New York

Stocking is an important conservation tool to restore fish populations.
Yet, assessing restoration success is often limited by a lack of
field-based demographic information at low abundance, particularly for
juvenile fish. Using outcomes from a cisco (Coregonus artedi)
reintroduction to Keuka Lake, New York, USA, we demonstrate a data-driven
approach to assess fish stocking performance and evaluate the likelihood
of achieving conservation goals. This project includes data and code for a
multistage time-to-event survival model and population viability analysis
with a Leslie matrix life-stage model to evaluate re-establishing a cisco
population in Keuka Lake.