Projects per year
Personal profile
Research Expertise
I am a benthic ecologist, and my current research focus is on developing photogrammetry and artificial intelligence methodologies to accurately measure and predict marine growth on offshore man-made structures.
Prior to working at SAMS I was based at Rothera research station with the British Antarctic Survey, researching seasonality and growth in shallow Antarctic benthos.
My PhD looked at bioerosion and carbonate budgets on Indonesian reefs and specifically how this was affected by reef degradation.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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SDG 14 Life Below Water
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Collaborations from the last five years
Projects
- 1 Finished
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Machine-assisted image analysis facilitates conservation of iconic elasmobranchs
Halpin, J., Marlow, J., Benjamins, S., Dodd, J., Gontarek, S. & Wilding, T. A., 11 May 2026, (E-pub ahead of print) In: Ecological Solutions and Evidence. 7, 2, p. n/a - n/a 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Preliminary evidence of intra-offshore wind farm variation in epibiotic assemblages from automated ROV image analysis
Marlow, J., Halpin, J. E. & Wilding, T. A., 1 Aug 2026, In: Marine Environmental Research. 220, 108180.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Understanding the role of offshore energy structures in ecosystem service delivery: Applying global findings to the North Sea
Squire, M., Madgett, A., Burdon, D., Scott, B., Marlow, J. & Gormley, K., 10 Feb 2026, (E-pub ahead of print) In: Ecosystem Services. 78, 14 p., 101811.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)1 Downloads (Pure) -
The Potential of Low-Tech Tools and Artificial Intelligence for Monitoring Blue Carbon in Greenland’s Deep Sea
Bax, N., Halpin, J., Long, S., Yesson, C., Marlow, J. & Zwerschke, N., 1 Jan 2025, In: Oceanography. 38, 1, p. 89-91 3 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile483 Downloads (Pure) -
3D photogrammetry and deep-learning deliver accurate estimates of epibenthic biomass
Marlow, J., Halpin, J. E. & Wilding, T. A., 26 Mar 2024, In: Methods in Ecology and Evolution.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Citations (Scopus)219 Downloads (Pure) -
Detection and characterisation of derelict creel fleets to evaluate marine megafauna entanglement risk in Scottish waters: CreelMap Final Project Report Scottish Marine Environmental Enhancement Fund (SMEEF) projects 502257 / 502492
Benjamins, S., Fox, C., Marlow, J., Halpin, J., Rybanska , P. & Howe, J., 9 Oct 2024, 32 p.Research output: Book/Report › Other report
Open AccessFile258 Downloads (Pure) -
Developing expert scientific consensus on the environmental and societal effects of marine artificial structures prior to decommissioning
Knights, A. M., Lemasson, A. J., Firth, L. B., Bond, T., Claisse, J., Coolen, J. W. P., Copping, A., Dannheim, J., De dominicis, M., Degraer, S., Elliott, M., Fernandes, P. G., Fowler, A. M., Frost, M., Henry, L.-A., Hicks, N., Hyder, K., Jagerroos, S., Jones, D. O. B. & Love, M. & 19 others, , 1 Feb 2024, In: Journal of Environmental Management. 352, 16 p., 119897.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Citations (Scopus)96 Downloads (Pure)
Datasets
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3D Photogrammetry and deep-learning deliver accurate estimates of epibenthic biomass
Marlow, J. (Creator), Halpin, J. (Creator) & Wilding, T. (Creator), 6 Mar 2024
DOI: 10.5061/dryad.1rn8pk11z, https://pureadmin.uhi.ac.uk/admin/files/50149348/Methods_Ecol_Evol_-_2024_-_Marlow_-_3D_photogrammetry_and_deep_learning_deliver_accurate_estimates_of_epibenthic_biomass.pdf
Dataset