1. Invasive species management can benefit from predictive models that incorporate spatially explicit demographics and dispersal to guide resource allocation decisions.
2. We used invasive bigheaded carps (Hypophthalmichthys spp.) in the Illinois River, USA as a case study to create a spatially explicit model to evaluate the allocation of future management efforts. Specifically, we compared additional harvest (e.g. near the invasion front vs. source populations) and enhanced movement deterrents to meet the management goal of reducing abundance at the invasion front.
3. We found additional harvest in lower river pools (i.e. targeting source populations) more effectively limited population sizes upriver at the invasion front compared to allocating the same harvest levels near the invasion front. Likewise, decreasing passage (i.e. lock and dam structures) at the farthest, feasible downriver location limited invasion front population size more than placing movement deterrents farther upriver.
4. Synthesis and applications. Our work highlights the benefits of adopting a multipronged approach for invasive species management, combining suppression of source populations with disrupting movement between source and sink populations thereby producing compounding benefits for control. Our results also demonstrate the importance of considering metapopulation dynamics for invasive species control programs when achieving long-term management goals.
Citation Information
Publication Year | 2023 |
---|---|
Title | Incorporating metapopulation dynamics to inform invasive species management: Evaluating bighead and silver carp control strategies in the Illinois River |
DOI | 10.1111/1365-2664.14466 |
Authors | Jahn Kallis, Richard A. Erickson, David P. Coulter, Alison A. Coulter, Marybeth K. Brey, Matt Catalano, John M. Dettmers, James E. Garvey, Kevin Irons, Elizabeth A. Marschall, Kenneth A Rose, Mark L. Wildhaber, David C. Glover |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Journal of Applied Ecology |
Index ID | 70247386 |
Record Source | USGS Publications Warehouse |
USGS Organization | Columbia Environmental Research Center; Upper Midwest Environmental Sciences Center |
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