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Aaron P. Sundmark

Publications and source records attributed to Aaron P. Sundmark.

2 recordsLinked to original sources

Economic activity generated by angling at small South Dakota lakes

Many agencies overlook the values affiliated with relatively small fisheries throughout their jurisdictions. The economic activity associated with angling visits to seven small fisheries in South Dakota was estimated using IMPLAN software. The average economic activity associated with fishing at individual lakes in 2016 was US\$35,369/lake, which was estimated to support an average of 0.48 jobs and create \$5,572 in tax revenues. We observed that lakes with the highest proportions of ice fishing pressure also had the greatest associated economic activity, even though several of these had the lowest overall fishing pressure throughout the year. In addition to economic activity, the zone of influence for each lake was estimated and compared with the proximity to urban centers. The inclusion of economic information from small fisheries may play an important role in influencing key strategic planning efforts by management agencies and in estimating the overall economic importance of angling on broader scales.

South Dakota

Influence of lake surface area and total phosphorus on annual bluegill growth in small impoundments of central Georgia

The relationships between environmental variables and the growth rates of fishes are important and rapidly expanding topics in fisheries ecology. We used an informationtheoretic approach to evaluate the influence of lake surface area and total phosphorus on the age-specific growth rates of Lepomis macrochirus (Bluegill) in 6 small impoundments in central Georgia. We used model averaging to create composite models and determine the relative importance of the variables within each model. Results indicated that surface area was the most important factor in the models predicting growth of Bluegills aged 1–4 years; total phosphorus was also an important predictor for the same age-classes. These results suggest that managers can use water quality and lake morphometry variables to create predictive models specific to their waterbody or region to help develop lake-specific management plans that select for and optimize local-level habitat factors for enhancing Bluegill growth.

Georgia