Michael A Spence
Michael A Spence
Centre for Environment, Fisheries and Aquaculture Science
Verified email at
Cited by
Cited by
Making modelling count-increasing the contribution of shelf-seas community and ecosystem models to policy development and management
K Hyder, AG Rossberg, JI Allen, MC Austen, RM Barciela, HJ Bannister, ...
Marine Policy 61, 291-302, 2015
A general framework for combining ecosystem models
MA Spence, JL Blanchard, AG Rossberg, MR Heath, JJ Heymans, ...
Fish and Fisheries 19 (6), 1031-1042, 2018
Disclosing the truth: are models better than observations?
MD Skogen, R Ji, A Akimova, U Daewel, C Hansen, SS Hjøllo, ...
Marine Ecology Progress Series 680, 7-13, 2021
Transcriptomes of plant gametophytes have a higher proportion of rapidly evolving and young genes than sporophytes
TI Gossmann, D Saleh, MW Schmid, MA Spence, KJ Schmid
Molecular biology and evolution 33 (7), 1669-1678, 2016
Parameter uncertainty of a dynamic multispecies size spectrum model
MA Spence, PG Blackwell, JL Blanchard
Canadian Journal of Fisheries and Aquatic Sciences 73 (4), 589-597, 2016
Making spatial-temporal marine ecosystem modelling better–a perspective
J Steenbeek, J Buszowski, D Chagaris, V Christensen, M Coll, EA Fulton, ...
Environmental Modelling & Software 145, 105209, 2021
A feeding guild indicator to assess environmental change impacts on marine ecosystem structure and functioning
MSA Thompson, H Pontalier, MA Spence, JK Pinnegar, SPR Greenstreet, ...
Journal of Applied Ecology 57 (9), 1769-1781, 2020
Sedimentation rates in the Baltic Sea: A machine learning approach
PJ Mitchell, MA Spence, J Aldridge, AT Kotilainen, M Diesing
Continental Shelf Research 214, 104325, 2021
LeMaRns: A Length-based Multi-species analysis by numerical simulation in R
MA Spence, HJ Bannister, JE Ball, PJ Dolder, CA Griffiths, RB Thorpe
PLoS One 15 (2), e0227767, 2020
Quantifying uncertainty and dynamical changes in multi‐species fishing mortality rates, catches and biomass by combining state‐space and size‐based multi‐species models
MA Spence, RB Thorpe, PG Blackwell, F Scott, R Southwell, JL Blanchard
Fish and Fisheries 22 (4), 667-681, 2021
Making the most of survey data: Incorporating age uncertainty when fitting growth parameters
MA Spence, AJ Turtle
Ecology and Evolution 7 (17), 7058-7068, 2017
Counter culture: causes, extent and solutions of systematic bias in the analysis of behavioural counts
JL Pick, N Khwaja, MA Spence, M Ihle, S Nakagawa
PeerJ 11, e15059, 2023
Sustainable fishing can lead to improvements in marine ecosystem status: an ensemble-model forecast of the North Sea ecosystem
MA Spence, CA Griffiths, JJ Waggitt, HJ Bannister, RB Thorpe, ...
Marine Ecology Progress Series 680, 207-221, 2021
Statistical issues in ecological simulation models
MA Spence
University of Sheffield, 2015
Fish should not be in isolation: calculating maximum sustainable yield using an ensemble model
MA Spence, K Alliji, HJ Bannister, ND Walker, A Muench
arXiv preprint arXiv:2005.02001, 2020
The application of continuous-time Markov chain models in the analysis of choice flume experiments
MA Spence, EW Muiruri, DL Maxwell, S Davis, D Sheahan
Journal of the Royal Statistical Society Series C: Applied Statistics 70 (4 …, 2021
Multi-model ensembles for ecosystem prediction
MA Spence, JL Blanchard, AG Rossberg, MR Heath, JJ Heymans, ...
arXiv preprint arXiv:1709.05189, 2017
The use of a length-structured multispecies model fitted directly to data in near-real time as a viable tool for advice
MA Spence, PJ Dolder, R Nash, RB Thorpe
Frontiers in Marine Science 8, 700534, 2021
Coupling random inputs for parameter estimation in complex models
MA Spence, PG Blackwell
Statistics and Computing 26, 1137-1146, 2016
Synthesizing empirical and modelling studies to predict past and future primary production in the North Sea
MA Spence, CP Lynam, RB Thorpe, RF Heneghan, PJ Dolder
Frontiers in Marine Science 9, 828623, 2022
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Articles 1–20