Michael A Spence
Michael A Spence
Centre for Environment, Fisheries and Aquaculture Science
Verified email at cefas.co.uk
Title
Cited by
Cited by
Year
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
702015
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
352018
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
252016
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
242016
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
52020
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
52020
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
52017
Statistical issues in ecological simulation models
MA Spence
University of Sheffield, 2015
52015
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
42021
Multi-model ensembles for ecosystem prediction
MA Spence, JL Blanchard, AG Rossberg, MR Heath, JJ Heymans, ...
arXiv preprint arXiv:1709.05189, 2017
32017
Coupling random inputs for parameter estimation in complex models
MA Spence, PG Blackwell
Statistics and Computing 26 (6), 1137-1146, 2016
32016
Disclosing the truth: are models better than observations?
M Skogen, R Ji, A Akimova, U Daewel, C Hansen, S Hjøllo, ...
Marine Ecology Progress Series, 2021
22021
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
EcoEvoRxiv, 2019
22019
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
12020
Bayesian inference on individual-based models by controlling the random inputs
M Spence, P Blackwell
The contribution of young researchers to Bayesian statistics, 35-39, 2014
12014
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 …, 2021
2021
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
2021
WORKING GROUP ON MULTISPECIES ASSESSMENT METHODS (WGSAM; outputs from 2020 meeting)
V Bartolino, A Baudron, A Belgrano, X Cormon, F DeCastro, S Gaichas, ...
International Council for the Exploration of the Sea (ICES), 2021
2021
Bayesian hierarchical space-time models to improve multispecies assessment by combining observations from disparate fish surveys
CC Nnanatu, MSA Thompson, MA Spence, E Couce, J van der Kooij, ...
arXiv preprint arXiv:2012.02196, 2020
2020
Inter-benchmark Protocol for sole in the Eastern English Channel (IBPSOL7D)
L Vansteenbrugge, K Sys, R Girardin, M Spence, J Ball
2019
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Articles 1–20