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 | 99 | 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 | 65 | 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 | 49 | 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 | 39 | 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 | 34 | 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 | 30 | 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 | 26 | 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 | 22 | 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 | 11 | 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 | 11 | 2020 |
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 | 10 | 2017 |
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 | 8 | 2021 |
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 | 7 | 2020 |
Statistical issues in ecological simulation models MA Spence University of Sheffield, 2015 | 7 | 2015 |
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 | 6 | 2023 |
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 | 5 | 2021 |
Multi-model ensembles for ecosystem prediction MA Spence, JL Blanchard, AG Rossberg, MR Heath, JJ Heymans, ... arXiv preprint arXiv:1709.05189, 2017 | 5 | 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 | 4 | 2021 |
Coupling random inputs for parameter estimation in complex models MA Spence, PG Blackwell Statistics and Computing 26, 1137-1146, 2016 | 4 | 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 | 3 | 2022 |