Applying local and global sensitivity analysis to inform bigheaded carp management
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Abstract
Natural resource managers commonly use population-level models to aid in understanding the status of target populations or the potential implications of management actions. Sensitivity analyses, specifically, local sensitivity analysis (LSA) and global sensitivity analysis (GSA), exist as tools to improve understanding of these models, the importance of specific parameters to model outcomes, and the assumptions inherent to population models. However, applied ecology and closely related fields such as fisheries and wildlife management rarely use LSA or GSA. Here, we apply LSA and GSA to the Spatially Explicit Invasive Carp Population model, a population-level model used to simulate and compare management actions on the invasive silver carp Hypophthalmichthys molitrix population in the Illinois River. The spatial structure within the model arises from the navigation “pools” that exist between navigation lock-and-dam in the river and are also the focus of fisheries management in the river. We completed LSA and GSA for two reasons: (1) to compare the importance of model input parameters on simulated model populations and (2) to demonstrate the use of LSA and GSA for population-level models. In our system, the most important sensitivity values generally were detected in Alton Pool. This pool is the farthest downstream and includes a direct connection with the Mississippi River. These results indicate that the population dynamics in Alton Pool are an important driver of the population dynamics throughout the Illinois River. Management outcomes in this system will, therefore, be strongly dependent on the dynamics of Alton Pool.
Study Area
Publication type | Article |
---|---|
Publication Subtype | Journal Article |
Title | Applying local and global sensitivity analysis to inform bigheaded carp management |
Series title | Journal of Fish and Wildlife Managment |
DOI | 10.3996/JFWM-23-032 |
Volume | 15 |
Issue | 1 |
Year Published | 2024 |
Language | English |
Publisher | Allen Press |
Contributing office(s) | Upper Midwest Environmental Sciences Center |
Description | 15 p. |
First page | 112 |
Last page | 126 |
Country | United States |
State | Illinois |
Other Geospatial | Illinois River |
Google Analytic Metrics | Metrics page |