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Dr Jenny Shepperson

Senior Lecturer; Senior Fisheries Researcher

j.shepperson@bangor.ac.uk

0000-0001-6002-4926

Dr Jenny Shepperson

View Dr Jenny Shepperson’s profile on the Bangor Research Portal

Additional Contact Information

Room: 324 Westbury Mount     Phone: 01248 382476

E-mail: j.shepperson@bangor.ac.uk

Web:  Google Scholar  ResearchGate

I graduated in Ecology from Cardiff University in 2011, and completed a Masters in Geographic Information Systems from the University of Ulster in 2013. I studied for a PhD at Bangor University between 2013 and 2017, and have since been working as a PostDoctoral Fisheries Research Officer at Bangor University. My research is focussed on fisheries management, in particular, developing models to predict both the environmental impacts of fishing and the behavioural response of fishers to management.

My current research involves translating the most up-to-date research on the benthic impacts of trawling into a quantiative tool to assess fisheries against the Marine Stewardship Council's eco-certification Fishery Standards. I am particularly interested in the trade-offs between model complexity and accessibility (i.e. data requirements), as well as the incentives (both positive and negative) that such a tool can create for fisheries.

For my PhD I developed an individual based model to predict the behavioural response of fishermen to management (e.g. spatial displacement followin area closures). I am interested in understanding more about how fishermen make decisions, and how we can better model these decisions to reduce unexpected or unintended consequences of management

Research Areas

Marine Conservation and Resource Management

Marine Ecology

Qualifications

  • PhD: Developing a Spatially Dynamic Model to Predict Displacement of Fishing Effort
    2017
  • MSc: Geographic Information Systems
    University of Ulster, 2013
  • BSc: Ecology
    Cardiff University, 2011

Teaching and Supervision

I have taught on several undergraduate and postgraduate modules, mainly on the topic of data analysis in R statistical software.

Publications

2024

  • PublishedReorganisation following disturbance: multi trait-based methods in R
    Richardson, L., Magneville, C., Grange, L., Shepperson, J., Skov, M., Hoey, A. & Heenan, A., Jun 2024
    Research output: Other contribution › peer-review

2023

  • PublishedThe effect of habitat and fishing-effort data resolution on the outcome of seabed status assessment in bottom trawl fisheries
    Hiddink, J. G., Evans, L., Gilmour, F., Lourenco, G., McLennan, S., Quinn, E. & Shepperson, J., 1 Mar 2023, In: Fisheries Research. 259, 106578.
    Research output: Contribution to journal › Article › peer-review

2019

  • PublishedNear disappearance of the Angelshark Squatina squatina over half a century of observations
    Hiddink, J. G., Shepperson, J., Bater, R., Goonesekera, D. & Dulvy, N. K., Sept 2019, In: Conservation Science and Practice. 1, 9, e97.
    Research output: Contribution to journal › Article › peer-review

2018

  • PublishedA comparison of VMS and AIS data: the effect of data coverage and vessel position recording frequency on estimates of fishing footprints
    Shepperson, J., Hintzen, N. T., Szostek, C., Bell, E., Murray, L. & Kaiser, M., 1 May 2018, In: ICES Journal of Marine Science. 75, 3, p. 988-998
    Research output: Contribution to journal › Article › peer-review

2016

  • PublishedUse of a choice-based survey approach to characterise fishing behaviour in a scallop fishery
    Shepperson, J., Lambert, G., Murray, L., Mackinson, S., Bell, E. & Kaiser, M., 1 Dec 2016, In: Environmental Modelling and Software. 86, p. 116-130
    Research output: Contribution to journal › Article › peer-review

2014

  • PublishedMethodological considerations when using local knowledge to infer spatial patterns of resource exploitation
    Shepperson, J. L., Murray, L. G., Cook, S., Whiteley, H. & Kaiser, M. J., 30 Oct 2014, In: Biological Conservation. 180, p. 214-223
    Research output: Contribution to journal › Article › peer-review

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