Electronic Reporting

Fish catch and harvest data are required for good assessment and resource management. Traditionally, catch data is estimated using probabilistic sampling designs, where a known-number of anglers are called or intercepted at fishing docks and interviewed about their effort and resulting catch. The ubiquity of smartphone has created a situation where a large amount of data on catch and effort are now freely available; however, these reports and data typically do not fall within traditional data collection designs. Rather, voluntary catch reporting is a type of non-probabilistic sampling that enters into an entirely new source of data. Our lab has piloted electronic angler self-reporting (eASR) using a smartphone app designed by the Louisiana Department of Wildlife and Fisheries.

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Associated Publications

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Steve Midway
Steve Midway
Assistant Professor

My research interests include fish ecology, macroecology, fisheries science, and data analysis. matter.

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