Tom Wilding

Personal profile

Research expertise

My research expertise includes statistical modelling, experimental design and environmental impact assessment particularly in relation to aquaculture, oil and gas and marine renewables. I am developing innovative metagenomic approaches to monitoring and challenging existing monitoring protocols, particularly in relation to the benthic/near-benthic environment.

Academic Qualifications

Biology (BSc), Marine Resource Development and Protection (MSc) followed by a PhD Artificial Reefs and a Diploma in Statistics.

Teaching expertise

I lead the undergraduate (2nd year, core module) 'Statistics and Experimental Design' and MSc 'Marine System Monitoring Methods' modules. I lead undergrad/post-grad revision/reminder workshops on Statistical Modelling.

Education/Academic qualification

Doctor of Philosophy

Award Date: 1 Sep 2003

Master in Science

Award Date: 1 Aug 1993

Bachelor of Science

Award Date: 1 Jul 1990

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Projects

2 Finished

Improving marine growth estimates using 3D photogrammetry

Rouse, S. & Wilding, T.

30/06/18 → 23/04/19

Project: Research

PipeFish: Optimising decommissioning of oil and gas pipelines with respect to the commercial fishing sector on the UK continental shelf NE/N019369/1

Wilding, T. & Rouse, S.

1/04/16 → 31/03/17

Project: Research

Research Output

670 Citations
15 h-Index
37 Article
7 Other contribution
5 Commissioned report
1 Other report
4 More

A global assessment of the vulnerability of shellfish aquaculture to climate change and ocean acidification

Stewart‐sinclair, P. J., Last, K. S., Payne, B. L. & Wilding, T., 12 Mar 2020, In : Ecology and Evolution. 17 p.

Research output: Contribution to journal › Article

Open Access

File

1 Citation (Scopus)

7 Downloads (Pure)

Artificial reef design affects benthic secondary productivity and provision of function habitat

Rouse, S., Porter, J. S. & Wilding, T., 8 Feb 2020, In : Ecology and Evolution. 9 p.

Research output: Contribution to journal › Article

Open Access

File

3 Downloads (Pure)

Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes

Frühe, L., Cordier, T., Dully, V., Breiner, H., Lentendu, G., Pawlowski, J., Martins, C., Wilding, T. A. & Stoeck, T., 15 May 2020, In : Molecular ecology. 19 p.

Research output: Contribution to journal › Article

Open Access

File

4 Downloads (Pure)

Benthic Conservation Features and Species Associated with Subsea Pipelines: Considerations for Decommissioning

Rouse, S., Lacey, N., Hayes, P. & Wilding, T., 10 Apr 2019, In : Frontiers in Marine Science. 6, p. 200

Research output: Contribution to journal › Article

Open Access

File

2 Citations (Scopus)

43 Downloads (Pure)

Benthic effects of offshore renewables: identification of knowledge gaps and urgently needed research

Dannheim, J., Bergström, L., Birchenough, S. N. R., Brzana, R., Boon, A. R., Coolen, J. W. P., Dauvin, J., De Mesel, I., Derweduwen, J., Gill, A. B., Hutchison, Z. L., Jackson, A. C., Janas, U., Martin, G., Raoux, A., Reubens, J., Rostin, L., Vanaverbeke, J., Wilding, T. A., Wilhelmsson, D. & 2 others, Degraer, S. & Norkko, J. (ed.), 1 Mar 2019, In : ICES Journal of Marine Science.

Research output: Contribution to journal › Review article

Open Access

File