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Natalie Hold
Natalie Hold
Post Doc in Fisheries Science, School of Ocean Sciences, Bangor University
Verified email at bangor.ac.uk
Title
Cited by
Cited by
Year
The effectiveness of using CPUE data derived from Vessel Monitoring Systems and fisheries logbooks to estimate scallop biomass
LG Murray, H Hinz, N Hold, MJ Kaiser
ICES Journal of Marine Science 70 (7), 1330-1340, 2013
492013
Video capture of crustacean fisheries data as an alternative to on-board observers
N Hold, LG Murray, JR Pantin, JA Haig, H Hinz, MJ Kaiser
ICES Journal of Marine Science 72 (6), 1811-1821, 2015
352015
Defining thresholds of sustainable impact on benthic communities in relation to fishing disturbance
GI Lambert, LG Murray, JG Hiddink, H Hinz, H Lincoln, N Hold, G Cambie, ...
Scientific Reports 7 (1), 5440, 2017
312017
Potential effects of stock enhancement with hatchery-reared seed on genetic diversity and effective population size
N Hold, LG Murray, MJ Kaiser, H Hinz, AR Beaumont, MI Taylor
Canadian journal of fisheries and aquatic sciences 70 (2), 330-338, 2013
212013
Environmental drivers of small scale spatial variation in the reproductive schedule of a commercially important bivalve mollusc
N Hold, LG Murray, H Hinz, SP Neill, S Lass, M Lo, MJ Kaiser
Marine environmental research 92, 144-153, 2013
172013
New insights on the population genetic structure of the great scallop (Pecten maximus) in the English Channel, coupling microsatellite data and demogenetic …
W Handal, C Szostek, N Hold, M Andrello, E Thiébaut, E Harney, ...
Aquatic Conservation: Marine and Freshwater Ecosystems 30 (10), 1841-1853, 2020
122020
Using biophysical modelling and population genetics for conservation and management of an exploited species, Pecten maximus L.
N Hold, P Robins, CL Szostek, G Lambert, H Lincoln, L Le Vay, E Bell, ...
Fisheries Oceanography 30 (6), 740-756, 2021
92021
An Investigation into the Spatial Scales of Genetic and Reproductive Variation in the Scallop Pecten maximus L.
N Hold
PQDT-UK & Ireland, 2012
62012
Defining thresholds of sustainable impact on benthic communities in relation to fishing disturbance. Sci. Rep. 7, 5440
GI Lambert, LG Murray, JG Hiddink, H Hinz, H Lincoln, N Hold, G Cambiè, ...
52017
Development of microsatellite markers from 454 transcriptome derived sequences for the scallop Pecten maximus
N Hold, L Dawnay, MI Taylor
Conservation Genetics Resources 5, 663-666, 2013
42013
Detection and quantification of differences in catch rates among research vessel gears and commercial vessels
AJ Delargy, N Hold, C Heney, RP Cann, K Bhandari, CN Colvin, ...
Fisheries Research 254, 106371, 2022
32022
Automated Video-Based Capture of Crustacean Fisheries Data Using Low-Power Hardware
S Gregory Dal Toé, M Neal, N Hold, C Heney, R Turner, E McCoy, ...
Sensors 23 (18), 7897, 2023
22023
Bass and ray ecology in Liverpool Bay
ABM Moore, R Bater, H Lincoln, SJ Simpson, J Brewin, T Chapman, ...
22020
Welsh waters scallop surveys and stock assessment
A Delargy, N Hold, GI Lambert, LG Murray, H Hinz, MJ Kaiser, I McCarthy, ...
Bangor University, 2019
22019
RD099: Low Impact Scallop Innovation Gear (LISIG) project
M Sciberras, M Fenton, C Szostek, A Delargy, A Johnson, H Hinz, N Hold, ...
12022
Estimating gear selectivity and population composition of common whelks Buccinum undatum from tagging experiments and comparative gear trials
CN Colvin, EC Phillips, JM Hoenig, JM Gross, N Hold
North American Journal of Fisheries Management, 2024
2024
Catch yield and selectivity of a modified scallop dredge to reduce seabed impact
M Fenton, CL Szostek, A Delargy, AF Johnson, MJ Kaiser, H Hinz, N Hold, ...
Plos one 19 (5), e0302225, 2024
2024
Detection of Crabs and Lobsters Using a Benchmark Single-Stage Detector and Novel Fisheries Dataset
M Iftikhar, M Neal, N Hold, S Gregory Dal Toé, B Tiddeman
Computers 13 (5), 119, 2024
2024
Predicting potential spawning areas of European bass, Dicentrarchus labrax, in the Irish and Celtic seas
H Lincoln, PE Robins, SB Wilmes, S Pérez-Mayol, A Moore, S Simpson, ...
Fisheries Research 270, 106884, 2024
2024
Investigating Deep Learning for Identification of Crabs and Lobsters on Fishing Boats
M Iftikhar, B Tiddeman, M Neal, N Hold, M Neal
Computer Graphics & Visual Computing, 2023
2023
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