Author: Peter Martin
A decision making toolkit is being developed to assist with the planning of aquatic wildlife sampling in inland water bodies such as lakes and rivers. The specific focus is on the choice of sampling method. Which method to employ is a challenging and multifaceted question, which involves tradeoffs between the characteristics of different methods, such as differing costs or sampling outcomes. Specific project requirements such as scope and location of sampling will also have effects on the aforementioned characteristics. These complex relationships, especially when combined with newer and unfamiliar sampling technology, make the development of a simple to use and consistent methodology for decision making desirable. To this end, a linear multiple-criteria decision-analysis (MCDA) model is developed. This model seeks to convert simple user input, both preferences and project requirements as well as site and sample characteristics into consistent choice-rankings. Two major metrics are considered, the efficacy of a sampling method, and the cost of a given method. The cost is estimated based on the scope of a project and any associated fixed costs. These values used in this approximation are the result of a statistical analysis of costs associated with waterbody sampling in Ontario. Efficacy is determined based on the characteristics of a site and suitability of sampling methods. The values used in the model are the result of a literature review, and will be supplemented through expert input. A functional prototype of the MCDA model is presented. This model seeks to prioritize useability, while providing consistent and informative results. A worked example is demonstrated, which serves to highlight when and how the model may be used, as well as how to interpret its output.
