Using decision analysis to collaboratively respond to invasive species threats: A case study of Lake Erie grass carp ( Ctenopharyngodon idella )

Decisions about invasive species control and eradication can be difficult because of uncertainty in population demographics, movement ecology, and effectiveness of potential response actions. These decisions often include multiple stakeholders and management entities with potentially different objectives, management priorities, and jurisdictional authority. We provide a case study of using multi-party, collaborative decision analysis to aid decision makers in determining objectives and control actions for invasive grass carp (Ctenopharyngodon idella) in Lake Erie. Creating this process required binational (Canada-United States) and multi-state/provincial collaboration to craft a shared problem statement, establish objectives related to ecological, economic, and social concerns, determine potential response actions, and evaluate consequences and tradeoffs of these actions. We used participatory modeling and expert elicitation to evaluate the effectiveness of control scenarios that varied in action type (i.e., removal efforts and spawning barriers) and the temporal and spatial application of these actions. Using a matrix population model parameterized for western Lake Erie grass carp, we found that removal efforts concentrated in areas of high catchability, when paired with a spawning barrier on the Sandusky River, Ohio, USA, could effectively control grass carp in Lake Erie, if all assumptions are met. We determined a set of key uncertainties regarding gear catchability and current population size that have led to the transition to an adaptive management process. In addition, our work formed the basis for grass carp management plans for the states of Michigan and Ohio and has provided a means for collaboration among agencies for effective application of control efforts. (C) 2020 The US Geological Survey. Published by Elsevier B.V. on behalf of International Association for Great Lakes Research. All rights reserved.

Automated summary

The study utilized multi-party collaborative decision analysis to aid decision makers in determining objectives and control actions for grass carp. By evaluating different control scenarios and uncertainties, they found that a combination of spawning barriers and removal efforts could effectively control grass carp, leading to the transition to an adaptive management process. This work also provided a basis for grass carp management plans and collaboration among agencies for effective control efforts.