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Understanding, Quantifying, And Reducing Bias In Fisheries-Independent Visual Surveys, James Kilfoil
Understanding, Quantifying, And Reducing Bias In Fisheries-Independent Visual Surveys, James Kilfoil
FIU Electronic Theses and Dissertations
Understanding spatiotemporal changes in populations is vital for conservation managers to assess current recovery efforts, determine future conservation priorities, and forms the basis to explore complex ecological questions. In fisheries, these data have traditionally been collected using fisheries-independent surveys that rely on extractive sampling practices (e.g., longlines, gillnets, trawls). However, with the growing availability of low-cost, high-definition cameras, researchers are increasingly using visual surveys as a non-invasive alternative. Camera surveys have a number of advantages including their archivable data, and offer insights into species habitat use and behavior. However, the use of cameras has a number of inherent biases. Understanding, …