2022 Early Hearing Detection & Intervention Virtual Conference

March 13 - 15, 2022

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6/05/2017  |   2:45 PM - 3:00 PM   |  A sequential stopping-line method with continuous feedback to sampling precision: implication of fluctuation scaling in sampled fish abundance   |  301B

A sequential stopping-line method with continuous feedback to sampling precision: implication of fluctuation scaling in sampled fish abundance

The variance function of population abundance has been widely used in the sampling program of agricultural pest and fisheries. Here, we introduce a ubiquitous variance function, called Taylor's law (TL), and develop a fixed-precision sequential sampling with continuous feedback. We tested TL using freshwater fish samples from a long-term gillnet experiment conducted in the fished and unfished areas of Lake Kariba, Africa. We confirmed a spatial version of TL using cross-sectional means and variances of fish sample abundances over time, in the fished and unfished areas separately. We estimated TL parameters from sequentially collected samples to update the stopping line and to give continuous feedback to the sampling precision. Our results showed that, compared to sampling planned a priori, the sequential stopping-line method can save around 3/4 of sampling effort in time and in net implementation. The mean abundance estimates were similar between the two methods, with a slight increase in the error-to-mean ratio for the sequential method. Our method can help fisheries managers to design efficient and economical sampling programs and can support effective guidelines on fishing and conservation.

  • C15 Population Ecology
  • C02 Fish and Other Aquatic Vertebrates
  • C36 Water Resource Management

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Presenters/Authors

Meng Xu (), Pace University, mxu@pace.edu;


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Joel E. Cohen (), The Rockefeller University and Columbia University, cohen@mail.rockefeller.edu;


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Jeppe Kolding (), University of Bergen, jeppe.kolding@uib.no;


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