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

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Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery. / Shepperson, Jennifer; Lambert, Gwladys; Murray, Lee et al.
In: Environmental Modelling and Software, Vol. 86, 01.12.2016, p. 116-130.

Research output: Contribution to journalArticlepeer-review

HarvardHarvard

Shepperson, J, Lambert, G, Murray, L, Mackinson, S, Bell, E & Kaiser, M 2016, 'Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery', Environmental Modelling and Software, vol. 86, pp. 116-130. https://doi.org/10.1016/j.envsoft.2016.09.013

APA

Shepperson, J., Lambert, G., Murray, L., Mackinson, S., Bell, E., & Kaiser, M. (2016). Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery. Environmental Modelling and Software, 86, 116-130. https://doi.org/10.1016/j.envsoft.2016.09.013

CBE

Shepperson J, Lambert G, Murray L, Mackinson S, Bell E, Kaiser M. 2016. Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery. Environmental Modelling and Software. 86:116-130. https://doi.org/10.1016/j.envsoft.2016.09.013

MLA

VancouverVancouver

Shepperson J, Lambert G, Murray L, Mackinson S, Bell E, Kaiser M. Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery. Environmental Modelling and Software. 2016 Dec 1;86:116-130. Epub 2016 Sept 29. doi: 10.1016/j.envsoft.2016.09.013

Author

Shepperson, Jennifer ; Lambert, Gwladys ; Murray, Lee et al. / Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery. In: Environmental Modelling and Software. 2016 ; Vol. 86. pp. 116-130.

RIS

TY - JOUR

T1 - Use of a choice-based survey approach to characterise fishing behaviour in a scallop fishery

AU - Shepperson, Jennifer

AU - Lambert, Gwladys

AU - Murray, Lee

AU - Mackinson, Steve

AU - Bell, Ewen

AU - Kaiser, Michel

N1 - funded jointly by the Centre for Environment, Fisheries and Aquaculture Science (Cefas) and Bangor University

PY - 2016/12/1

Y1 - 2016/12/1

N2 - 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.

AB - 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.

KW - Individual based model; Participatory modelling; Fisher knowledge; Fisher behaviour; Conjoint analysis; Fisheries

U2 - 10.1016/j.envsoft.2016.09.013

DO - 10.1016/j.envsoft.2016.09.013

M3 - Article

VL - 86

SP - 116

EP - 130

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

ER -