Research outputs
2026
Winds of change – modelling the onshore wind energy landscape of Great Britain for Net Zero targets
von Hellfeld, R., Reid, J., Eddine-Lomas, A., Robinson, H., Hubbert, E., Whittaker, C., . . . Hastings, A. (2026). Winds of change – modelling the onshore wind energy landscape of Great Britain for Net Zero targets. Sustainable Energy Technologies and Assessments, 89, 104962. doi:10.1016/j.seta.2026.104962
2025
Media Capture, Survival of the Corruptest and Journalistic Agency: The Case of Bulgaria
Slavtcheva-Petkova, V., Pogson, M., & Karadjov, C. (2025). Media Capture, Survival of the Corruptest and Journalistic Agency: The Case of Bulgaria. The International Journal of Press/Politics. doi:10.1177/19401612251319939
2024
A stochastic model for topographically influenced cell migration
Mitchinson, A. J., Pogson, M., Czanner, G., Conway, D., Wilkinson, R. R., Murphy, M. F., . . . Webb, S. D. (2024). A stochastic model for topographically influenced cell migration. Journal of Theoretical Biology, 581, 111745. doi:10.1016/j.jtbi.2024.111745
Agent-based modeling of diversity, new information and minority groups in opinion formation
Mark Pogson., & Tom Nicholls. (2024). Agent-based modeling of diversity, new information and minority groups in opinion formation. Computational Communication Research, 6(1), 1. doi:10.5117/ccr2024.1.3.pogs
2023
People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training.
Srisawat, K., Stead, C. A., Hesketh, K., Pogson, M., Strauss, J. A., Cocks, M., . . . Burniston, J. G. (2023). People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training.. Proteomics, e2300395. doi:10.1002/pmic.202300395
2021
Biomechanical loading during running: can a two mass-spring-damper model be used to evaluate ground reaction forces for high-intensity tasks?
Verheul, J., Nedergaard, N. J., Pogson, M., Lisboa, P., Gregson, W., Vanrenterghem, J., & Robinson, M. A. (2021). Biomechanical loading during running: can a two mass-spring-damper model be used to evaluate ground reaction forces for high-intensity tasks?. Sports Biomechanics, 20(5), 571-582. doi:10.1080/14763141.2019.1584238
2020
A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities
Pogson, M., Verheul, J., Robinson, M. A., Vanrenterghem, J., & Lisboa, P. (2020). A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities. Medical Engineering & Physics, 78(1), 82-89. doi:10.1016/j.medengphy.2020.02.002
PopFor: A new model for estimating poplar yields
Henner, D. N., Hastings, A., Pogson, M., McNamara, N. P., Davies, C. A., & Smith, P. (2020). PopFor: A new model for estimating poplar yields. Biomass and Bioenergy, 134, 105470. doi:10.1016/j.biombioe.2020.105470
2018
Mapping the global potential exposure of soaring birds to terrestrial wind energy expansion
Santangeli, A., Butchart, S. H. M., Pogson, M., Hastings, A., Smith, P., Girardello, M., & Moilanen, A. (2018). Mapping the global potential exposure of soaring birds to terrestrial wind energy expansion. Ornis Fennica, 95(1). doi:10.51812/of.133925
2017
Evaluation of the <scp>ECOSSE</scp> model to predict heterotrophic soil respiration by direct measurements
Dondini, M., Alberti, G., Delle Vedove, G., Ventura, M., Tonon, G., Viger, M., . . . Smith, P. (2017). Evaluation of the <scp>ECOSSE</scp> model to predict heterotrophic soil respiration by direct measurements. European Journal of Soil Science, 68(3), 384-393. doi:10.1111/ejss.12416
High‐resolution spatial modelling of greenhouse gas emissions from land‐use change to energy crops in the United Kingdom
Richards, M., Pogson, M., Dondini, M., Jones, E. O., Hastings, A., Henner, D. N., . . . Smith, P. (2017). High‐resolution spatial modelling of greenhouse gas emissions from land‐use change to energy crops in the United Kingdom. GCB Bioenergy, 9(3), 627-644. doi:10.1111/gcbb.12360
Dynamic proteome profiling of individual proteins in human skeletal muscle after a high‐fat diet and resistance exercise
Camera, D. M., Burniston, J. G., Pogson, M. A., Smiles, W. J., & Hawley, J. A. (2017). Dynamic proteome profiling of individual proteins in human skeletal muscle after a high‐fat diet and resistance exercise. The FASEB Journal, 31(12), 5478-5494. doi:10.1096/fj.201700531r
2016
Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate
Abdalla, M., Richards, M., Pogson, M., Smith, J. U., & Smith, P. (2016). Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate. Regional Environmental Change, 16(8), 2357-2368. doi:10.1007/s10113-016-0958-7
Synergies and trade‐offs between renewable energy expansion and biodiversity conservation – a cross‐national multifactor analysis
Santangeli, A., Di Minin, E., Toivonen, T., Pogson, M., Hastings, A., Smith, P., & Moilanen, A. (2016). Synergies and trade‐offs between renewable energy expansion and biodiversity conservation – a cross‐national multifactor analysis. GCB Bioenergy, 8(6), 1191-1200. doi:10.1111/gcbb.12337
ELUM: A spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK
Pogson, M., Richards, M., Dondini, M., Jones, E. O., Hastings, A., & Smith, P. (2016). ELUM: A spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK. Environmental Modelling & Software, 84, 458-466. doi:10.1016/j.envsoft.2016.07.011
Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making
Pogson, M. (2016). Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making. PLOS ONE, 11(10), e0165082. doi:10.1371/journal.pone.0165082
Global change synergies and trade‐offs between renewable energy and biodiversity
Santangeli, A., Toivonen, T., Pouzols, F. M., Pogson, M., Hastings, A., Smith, P., & Moilanen, A. (2016). Global change synergies and trade‐offs between renewable energy and biodiversity. GCB Bioenergy, 8(5), 941-951. doi:10.1111/gcbb.12299
Simulation of greenhouse gases following land‐use change to bioenergy crops using the <scp>ECOSSE</scp> model: a comparison between site measurements and model predictions
Dondini, M., Richards, M. I. A., Pogson, M., McCalmont, J., Drewer, J., Marshall, R., . . . Smith, P. (2016). Simulation of greenhouse gases following land‐use change to bioenergy crops using the <scp>ECOSSE</scp> model: a comparison between site measurements and model predictions. GCB Bioenergy, 8(5), 925-940. doi:10.1111/gcbb.12298
Evaluation of the <scp>ECOSSE</scp> model for simulating soil organic carbon under <i><scp>M</scp>iscanthus</i> and short rotation coppice‐willow crops in <scp>B</scp>ritain
Dondini, M., Richards, M., Pogson, M., Jones, E. O., Rowe, R. L., Keith, A. M., . . . Smith, P. (2016). Evaluation of the <scp>ECOSSE</scp> model for simulating soil organic carbon under <i><scp>M</scp>iscanthus</i> and short rotation coppice‐willow crops in <scp>B</scp>ritain. GCB Bioenergy, 8(4), 790-804. doi:10.1111/gcbb.12286
Mathematical Modeling of Greenhouse Gas Emissions from Agriculture for Different End Users
Hillier, J., Abdalla, M., Bellarby, J., Albanito, F., Datta, A., Dondini, M., . . . Smith, P. (2016). Mathematical Modeling of Greenhouse Gas Emissions from Agriculture for Different End Users. In Unknown Book (pp. 197-227). Wiley. doi:10.2134/advagricsystmodel6.2013.0038
2015
Evaluation of the <scp>ECOSSE</scp> model for simulating soil carbon under short rotation forestry energy crops in Britain
Dondini, M., Jones, E. O., Richards, M., Pogson, M., Rowe, R. L., Keith, A. M., . . . Smith, P. (2015). Evaluation of the <scp>ECOSSE</scp> model for simulating soil carbon under short rotation forestry energy crops in Britain. GCB Bioenergy, 7(3), 527-540. doi:10.1111/gcbb.12154
Effect of spatial data resolution on uncertainty
Pogson, M., & Smith, P. (2015). Effect of spatial data resolution on uncertainty. Environmental Modelling & Software, 63, 87-96. doi:10.1016/j.envsoft.2014.09.021
2014
Can biogas digesters help to reduce deforestation in Africa?
Subedi, M., Matthews, R. B., Pogson, M., Abegaz, A., Balana, B. B., Oyesiku-Blakemore, J., & Smith, J. (2014). Can biogas digesters help to reduce deforestation in Africa?. Biomass and Bioenergy, 70, 87-98. doi:10.1016/j.biombioe.2014.02.029
Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model
Abdalla, M., Hastings, A., Bell, M. J., Smith, J. U., Richards, M., Nilsson, M. B., . . . Smith, P. (2014). Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model. Water, Air, & Soil Pollution, 225(11). doi:10.1007/s11270-014-2182-8
2013
How does bioenergy compare with other land-based renewable energy sources globally?
Pogson, M., Hastings, A., & Smith, P. (2013). How does bioenergy compare with other land-based renewable energy sources globally?. GCB Bioenergy, 5(5), 513-524. doi:10.1111/gcbb.12013
2012
Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought
Pogson, M., Hastings, A., & Smith, P. (2012). Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought. Environmental Modelling & Software, 29(1), 37-43. doi:10.1016/j.envsoft.2011.10.008
Systems approaches in global change and biogeochemistry research
Smith, P., Albanito, F., Bell, M., Bellarby, J., Blagodatskiy, S., Datta, A., . . . Smith, J. (2012). Systems approaches in global change and biogeochemistry research. Philosophical Transactions of the Royal Society B: Biological Sciences, 367(1586), 311-321. doi:10.1098/rstb.2011.0173
Economic and greenhouse gas costs of <i>Miscanthus</i> supply chains in the <scp>United Kingdom</scp>
Wang, S., Wang, S., Hastings, A., Pogson, M., & Smith, P. (2012). Economic and greenhouse gas costs of <i>Miscanthus</i> supply chains in the <scp>United Kingdom</scp>. GCB Bioenergy, 4(3), 358-363. doi:10.1111/j.1757-1707.2011.01125.x
Modelling complex biological systems using an agent-based approach
Holcombe, M., Adra, S., Bicak, M., Chin, S., Coakley, S., Graham, A. I., . . . Worth, D. (2012). Modelling complex biological systems using an agent-based approach. Integr. Biol., 4(1), 53-64. doi:10.1039/c1ib00042j
2011
Modelling Miscanthus yields with low resolution input data
Pogson, M. (2011). Modelling Miscanthus yields with low resolution input data. Ecological Modelling, 222(23-24), 3849-3853. doi:10.1016/j.ecolmodel.2011.10.008
2010
Volumetric diffusers: Pseudorandom cylinder arrays on a periodic lattice
Hughes, R. J., Angus, J. A. S., Cox, T. J., Umnova, O., Gehring, G. A., Pogson, M., & Whittaker, D. M. (2010). Volumetric diffusers: Pseudorandom cylinder arrays on a periodic lattice. The Journal of the Acoustical Society of America, 128(5), 2847-2856. doi:10.1121/1.3493455
Diffusive benefits of cylinders in front of a Schroeder diffuser
Pogson, M. A., Whittaker, D. M., Gehring, G. A., Cox, T. J., Hughes, R. J., & Angus, J. A. S. (2010). Diffusive benefits of cylinders in front of a Schroeder diffuser. The Journal of the Acoustical Society of America, 128(3), 1149-1154. doi:10.1121/1.3463817
Multiple Scattering Between Cylinders and a Schroeder Diffuser
Pogson, M. A., Whittaker, D. M., Gehring, G. A., Hughes, R. J., Angus, J. A. S., & Cox, T. J. (2010). Multiple Scattering Between Cylinders and a Schroeder Diffuser. Acta Acustica united with Acustica, 96(2), 292-299. doi:10.3813/aaa.918278
2008
Introducing Spatial Information into Predictive NF-κB Modelling – An Agent-Based Approach
Pogson, M., Holcombe, M., Smallwood, R., & Qwarnstrom, E. (2008). Introducing Spatial Information into Predictive NF-κB Modelling – An Agent-Based Approach. PLoS ONE, 3(6), e2367. doi:10.1371/journal.pone.0002367
2006
Formal agent-based modelling of intracellular chemical interactions
Pogson, M., Smallwood, R., Qwarnstrom, E., & Holcombe, M. (2006). Formal agent-based modelling of intracellular chemical interactions. Biosystems, 85(1), 37-45. doi:10.1016/j.biosystems.2006.02.004