Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery

Jennifer Shepperson, Lee G. Murray, Steven Mackinson, Ewen Bell, Michel J. Kaiser

Research output: Contribution to journalArticle

1 Citation (Scopus)
19 Downloads (Pure)

Abstract

The predictability of fisher behaviour is an area of considerable uncertainty in fisheries management models. Fisher-derived data could underpin a better understanding, and more realistic predictions of fishing behaviour. Face to face interviews and a choice-based survey were conducted with scallop fishers to collect foraging parameters that could inform a model of fishing behaviour, and to better understand patch choice behaviour. Importantly, we validated survey data against vessel monitoring system and logbook data where possible, demonstrating a good level of accuracy. Environmental parameters central to patch choice were determined (e.g. wave height, distance to port), and three strategies of patch choice behaviour were identified, termed quantity maximiser, quality maximiser, and efficient fisher. Individuals’ VMS and logbook data further confirmed and explained these behavioural patterns. This approach provided reliable, highly relevant data for the parameterisation of a fisheries behavioural model, which could lead to more robust and realistic predictive fisheries models.

Original languageEnglish
Pages (from-to)116-130
Number of pages15
JournalEnvironmental Modelling and Software
Volume86
Early online date29 Sep 2016
DOIs
Publication statusPublished - Dec 2016

Keywords

  • Conjoint analysis
  • Fisher behaviour
  • Fisher knowledge
  • Fisheries
  • Individual based model
  • Participatory modelling

ASJC Scopus subject areas

  • Software
  • Environmental Engineering
  • Ecological Modelling

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