Reviews in Fish Biology and Fisheries

, Volume 28, Issue 4, pp 909–924 | Cite as

A morphological and geometric method for estimating the selectivity of gill nets

  • Feodor Lobyrev
  • Matthew J. HoffmanEmail author
Research Paper


We propose a new method for estimating gill net selectivity which estimates the probabilities leading to retention by analyzing both the fish morphology and the mesh geometry. This method estimates the number of fish approaching and contacting gill nets of different mesh sizes as an intermediate step towards computing the selectivity. Instead of assuming an underlying probability distribution as in indirect methods, we split the entire interaction between a fish and the gill net into several stages, each with its own probability. All the necessary parameters to compute these probabilities can be obtained from measurements of the fish, knowledge of the mesh geometry, and catch data from different mesh sizes. The framework offers three pathways for computing the total number of fish contacting the gill nets and has the capability to use both wedged and entangled fish in the analysis. As a proof of concept, the method is applied to catch data for cod (G. morhua) and Dolly Varden (S. malma) to estimate the number of fish contacting the gill nets in both cases. By estimating the number of fish contacting the gill net in addition to the selectivity, this method provides an important step towards deriving estimates of fish density in a particular fishery from gill net measurement.


Gill nets Mathematical modeling Selectivity 



The authors would like to acknowledge Gregory Markevich for organizing the expedition to Kamchatka for data collection, A. Boosh, E. Saltykova, G. Sedash for their assistance in fishing and processing the fish, professor Kriksunov E.A., Burmensky V.A. and Charles Anderson, Adjunct Assistant Professor (Minnesota Department of Natural Resources). Partial funding to make this collaboration possible was provided by Anthony Vodacek through the Paul and Francena Miller Chair in International Education at RIT.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Faculty of BiologyMoscow State UniversityMoscowRussia
  2. 2.School of Mathematical SciencesRochester Institute of TechnologyRochesterUSA
  3. 3.School of Mathematical SciencesRochesterUSA

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