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Measuring fish with smartphones: a citizen science approach to monitoring Queensland’s recreational fisheries
EP23651
Poster Title: Measuring fish with smartphones: a citizen science approach to monitoring Queensland’s recreational fisheries
Submitted on 16 Nov 2015
Author(s): Daniella Teixeira1, Paul Calcino2, James Webley1
Affiliations: 1Fisheries Queensland, 2The University of Queensland
This poster was presented at Maximising the Capacity of Citizen Science for Science and Society: A Fenner Conference on the Environment
Poster Views: 671
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Poster Information
Abstract: Fisheries management decisions depend critically on scientifically tenable data. Fish length frequency is one metric important in stock assessment models because it informs estimates of a stock’s fishing mortality. However in the case of Queensland’s recreational fisheries, these data are lacking for many species. Under current sampling regimes, fish length data are collected by fisheries technicians (e.g. at boat ramps), which by necessity restricts data collection to the most popular species and regions. Consequently, informed management decisions are limited for some stocks. Citizen science presents a promising tool to address this issue, but its utility has been hindered by concerns about the accuracy of length measurements taken by recreational fishers. In response, we have developed a prototype smartphone application through which fishers submit scaled photographs of their catch, negating their need to take measurements. By adhering to a simple three-step process, fishers photograph each harvested fish alongside a purpose-made scale bar. Fish lengths are digitally measured from the photographs by fisheries scientists, and are subsequently adjusted by a correction factor according to the fish’s body size and shape. Initial testing has shown that this method provides measurements with a mean error rate of 1 – 2%, which is not significantly different from measurements taken by fisheries technicians (ANOVA p > 0.05). Because stock models require time-series data, participant retention will be pivotal to the application’s success once publically available. If this is achieved, this application has the potential to greatly improve the oversight and management of Queensland’s recreational fisheries. Summary: Fisheries management decisions depend critically on scientifically tenable data.Report abuse »
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