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Expert opinions of demographic rates of Argentine black and white tegus in South Florida
We illustrate the utility of expert elicitation, explicit recognition of uncertainty, and the value of information for directing management and research efforts for invasive species, using tegu lizards (Salvator merianae) in southern Florida as a case study. We posited a post-birth pulse, matrix model, which was parameterized using a 3-point process to elicit estimates of tegu demographic rates from herpetology experts. We fit statistical distributions for each parameter and for each expert, then drew and pooled a large number of replicate samples from these to form a distribution for each demographic parameter. Using these distributions, we generated a large sample of matrix models to infer how the tegu population might respond to control efforts. We used the concepts of Pareto efficiency and stochastic dominance to conclude that targeting older age classes at relatively high rates appears to have the best chance of minimizing tegu abundance and control costs. Expert opinion combined with an explicit consideration of uncertainty can be valuable for conducting an initial assessment of the effort needed to control the invader. The value of information can be used to focus research in a way that not only helps increases the efficacy of control, but minimizes costs as well.
Author(s) |
Fred A. Johnson |
Publication Date | 2017 |
Beginning Date of Data | 2015-08-01 |
Ending Date of Data | 2015-12-28 |
Data Contact | |
DOI | https://doi.org/10.5066/F7ZC810J |
Citation | Johnson, F.A., 2017, Expert opinions of demographic rates of Argentine black and white tegus in South Florida: U.S. Geological Survey data release, https://doi.org/10.5066/F7ZC810J. |
Metadata Contact | |
Metadata Date | 2020-08-30 |
Related Publication | There was no related primary publication associated with this data release. |
Citations of these data | No citations of these data are known at this time. |
Access | public |
License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2024-04-30T15:20:04.473Z