Publications
Selected publications
- The biological carbon pump in CMIP6 models: 21st century trends and uncertainties (Journal article - 2022)
- Sensitivity of atmospheric CO<sub>2</sub> to regional variability in particulate organic matter remineralization depths (Journal article - 2019)
- Linking Marine Plankton Ecosystems and Climate: A New Modeling Approach to the Warm Early Eocene Climate (Journal article - 2018)
- Modeling radiocarbon constraints on the dilution of dissolved organic carbon in the deep ocean (Journal article - 2017)
- Assessment of the spatial variability in particulate organic matter and mineral sinking fluxes in the ocean interior: Implications for the ballast hypothesis (Journal article - 2012)
- Temperature-dependent remineralization and carbon cycling in the warm Eocene oceans (Journal article - 2014)
- EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model (Journal article - 2018)
- Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System (Journal article - 2019)
- Cyanobacteria and biogeochemical cycles through Earth history (Journal article - 2022)
2024
Past foraminiferal acclimatization capacity is limited during future warming
Ying, R., Monteiro, F. M., Wilson, J. D., Ödalen, M., & Schmidt, D. N. (n.d.). Past foraminiferal acclimatization capacity is limited during future warming. Nature. doi:10.1038/s41586-024-08029-0
When to add a new process to a model – and when not: A marine biogeochemical perspective
Martin, A. P., Dominguez, A. B., Baker, C. A., Baumas, C. M. J., Bisson, K. M., Cavan, E., . . . Yool, A. (2024). When to add a new process to a model – and when not: A marine biogeochemical perspective. Ecological Modelling, 498, 110870. doi:10.1016/j.ecolmodel.2024.110870
A machine learning-based dissolved organic carbon climatology
A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1
Naidoo-Bagwell, A. A., Monteiro, F. M., Hendry, K. R., Burgan, S., Wilson, J. D., Ward, B. A., . . . Conley, D. J. (n.d.). A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1. Geoscientific Model Development, 17(4), 1729-1748. doi:10.5194/gmd-17-1729-2024
Seasonality in Carbon Flux Attenuation Explains Spatial Variability in Transfer Efficiency
de Melo Viríssimo, F., Martin, A. P., Henson, S. A., & Wilson, J. D. (2024). Seasonality in Carbon Flux Attenuation Explains Spatial Variability in Transfer Efficiency. Geophysical Research Letters, 51(4). doi:10.1029/2023gl107050
2023
Neurodiversity: An Important Axis of Diversity in Ocean Sciences
Wilson, J., Sibert, E., Grigoratou, M., Jones, C., Rubin, L., & Smillie, Z. (2023). Neurodiversity: An Important Axis of Diversity in Ocean Sciences. Oceanography, 36(4). doi:10.5670/oceanog.2024.103
Planktic foraminiferal resilience to environmental change associated with the PETM
Barrett, R., Adebowale, M., Birch, H., Wilson, J. D., & Schmidt, D. N. (n.d.). Planktic foraminiferal resilience to environmental change associated with the PETM. Paleoceanography and Paleoclimatology. doi:10.1029/2022pa004534
What the geological past can tell us about the future of the ocean's twilight zone
Crichton, K. A., Wilson, J. D., Ridgwell, A., Boscolo-Galazzo, F., John, E. H., Wade, B. S., & Pearson, P. N. (2023). What the geological past can tell us about the future of the ocean's twilight zone. NATURE COMMUNICATIONS, 14(1). doi:10.1038/s41467-023-37781-6
A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1
Supplementary material to "A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1"
Naidoo-Bagwell, A. A., Monteiro, F. M., Hendry, K. R., Burgan, S., Wilson, J. D., Ward, B. A., . . . Conley, D. J. (2023). Supplementary material to "A diatom extension to the cGEnIE Earth system model – EcoGEnIE 1.1". doi:10.5194/egusphere-2022-1254-supplement
ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into atrait-based global planktic foraminiferal model
Ying, R., Monteiro, F. M., Wilson, J. D., & Schmidt, D. N. (2023). ForamEcoGEnIE 2.0: incorporating symbiosis and spine traits into atrait-based global planktic foraminiferal model. GEOSCIENTIFIC MODEL DEVELOPMENT, 16(3), 813-832. doi:10.5194/gmd-16-813-2023
2022
ForamEcoGENIE 2.0: Incorporating symbiosis and spine traits into a trait-based global planktic foraminifera model
The biological carbon pump in CMIP6 models: 21st century trends and uncertainties
Wilson, J. D., Andrews, O., Katavouta, A., Virissimo, F. D. M., Death, R. M., Adloff, M., . . . Ying, R. (2022). The biological carbon pump in CMIP6 models: 21st century trends and uncertainties. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 119(29). doi:10.1073/pnas.2204369119
The Bristol CMIP6 Data Hackathon
Mitchell, D. M., Stone, E. J., Andrews, O. D., Bamber, J. L., Bingham, R. J., Browse, J., . . . Tunnicliffe, R. (2022). The Bristol CMIP6 Data Hackathon. Weather, 77(6), 218-221. doi:10.1002/wea.4161
Cyanobacteria and biogeochemical cycles through Earth history
Sanchez-Baracaldo, P., Bianchini, G., Wilson, J. D., & Knoll, A. H. (2022). Cyanobacteria and biogeochemical cycles through Earth history. TRENDS IN MICROBIOLOGY, 30(2), 143-157. doi:10.1016/j.tim.2021.05.008
Exploring the impact of climate change on the global distribution of non-spinose planktonic foraminifera using a trait-based ecosystem model
Grigoratou, M., Monteiro, F. M., Wilson, J. D., Ridgwell, A., & Schmidt, D. N. (2022). Exploring the impact of climate change on the global distribution of non-spinose planktonic foraminifera using a trait-based ecosystem model. GLOBAL CHANGE BIOLOGY, 28(3), 1063-1076. doi:10.1111/gcb.15964
2021
Calibration of temperature-dependent ocean microbial processes in the cGENIE.muffin (v0.9.13) Earth system model Katherine
Crichton, K. A., Wilson, J. D., Ridgwell, A., & Pearson, P. N. (2021). Calibration of temperature-dependent ocean microbial processes in the cGENIE.muffin (v0.9.13) Earth system model Katherine. GEOSCIENTIFIC MODEL DEVELOPMENT, 14(1), 125-149. doi:10.5194/gmd-14-125-2021
2020
Algal plankton turn to hunting to survive and recover from end-Cretaceous impact darkness
Gibbs, S. J., Bown, P. R., Ward, B. A., Alvarez, S. A., Kim, H., Archontikis, O. A., . . . Ridgwell, A. (2020). Algal plankton turn to hunting to survive and recover from end-Cretaceous impact darkness. SCIENCE ADVANCES, 6(44). doi:10.1126/sciadv.abc9123
Calibration of key temperature-dependent ocean microbial processes in the cGENIE.muffin Earth system model
2019
Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System
Ward, B. A., Collins, S., Dutkiewicz, S., Gibbs, S., Bown, P., Ridgwell, A., . . . Oschlies, A. (2019). Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 11(11), 3343-3361. doi:10.1029/2018MS001452
Sensitivity of atmospheric CO<sub>2</sub> to regional variability in particulate organic matter remineralization depths
Wilson, J. D., Barker, S., Edwards, N. R., Holden, P. B., & Ridgwell, A. (2019). Sensitivity of atmospheric CO<sub>2</sub> to regional variability in particulate organic matter remineralization depths. BIOGEOSCIENCES, 16(14), 2923-2936. doi:10.5194/bg-16-2923-2019
A trait-based modelling approach to planktonic foraminifera ecology
Grigoratou, M., Monteiro, F. M., Schmidt, D. N., Wilson, J. D., Ward, B. A., & Ridgwell, A. (2019). A trait-based modelling approach to planktonic foraminifera ecology. BIOGEOSCIENCES, 16(7), 1469-1492. doi:10.5194/bg-16-1469-2019
2018
Sensitivity of atmospheric CO&lt;sub&gt;2&lt;/sub&gt; to regional variability in particulate organic matter remineralization depths
Linking Marine Plankton Ecosystems and Climate: A New Modeling Approach to the Warm Early Eocene Climate
Wilson, J. D., Monteiro, F. M., Schmidt, D. N., Ward, B. A., & Ridgwell, A. (2018). Linking Marine Plankton Ecosystems and Climate: A New Modeling Approach to the Warm Early Eocene Climate. PALEOCEANOGRAPHY AND PALEOCLIMATOLOGY, 33(12), 1439-1452. doi:10.1029/2018PA003374
A trait-based modelling approach to planktonic foraminifera ecology
EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model
Ward, B. A., Wilson, J. D., Death, R. M., Monteiro, F. M., Yool, A., & Ridgwell, A. (2018). EcoGEnIE 1.0: plankton ecology in the cGEnIE Earth system model. GEOSCIENTIFIC MODEL DEVELOPMENT, 11(10), 4241-4267. doi:10.5194/gmd-11-4241-2018
2017
EcoGEnIE 0.1: Plankton Ecology in the cGENIE Earth system model
Understanding the causes and consequences of past marine carbon cycling variability through models
Huelse, D., Arndt, S., Wilson, J. D., Munhoven, G., & Ridgwell, A. (2017). Understanding the causes and consequences of past marine carbon cycling variability through models. EARTH-SCIENCE REVIEWS, 171, 349-382. doi:10.1016/j.earscirev.2017.06.004
Modeling radiocarbon constraints on the dilution of dissolved organic carbon in the deep ocean
Wilson, J. D., & Arndt, S. (2017). Modeling radiocarbon constraints on the dilution of dissolved organic carbon in the deep ocean. GLOBAL BIOGEOCHEMICAL CYCLES, 31(5), 775-786. doi:10.1002/2016GB005520
2015
Can organic matter flux profiles be diagnosed using remineralisation rates derived from observed tracers and modelled ocean transport rates?
Wilson, J. D., Ridgwell, A., & Barker, S. (2015). Can organic matter flux profiles be diagnosed using remineralisation rates derived from observed tracers and modelled ocean transport rates?. BIOGEOSCIENCES, 12(18), 5547-5562. doi:10.5194/bg-12-5547-2015
Can organic matter flux profiles be diagnosed using remineralisation rates derived from observed tracers and modelled ocean transport rates?
2014
Temperature-dependent remineralization and carbon cycling in the warm Eocene oceans
John, E. H., Wilson, J. D., Pearson, P. N., & Ridgwell, A. (2014). Temperature-dependent remineralization and carbon cycling in the warm Eocene oceans. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 413, 158-166. doi:10.1016/j.palaeo.2014.05.019
2012
Assessment of the spatial variability in particulate organic matter and mineral sinking fluxes in the ocean interior: Implications for the ballast hypothesis
Wilson, J. D., Barker, S., & Ridgwell, A. (2012). Assessment of the spatial variability in particulate organic matter and mineral sinking fluxes in the ocean interior: Implications for the ballast hypothesis. GLOBAL BIOGEOCHEMICAL CYCLES, 26. doi:10.1029/2012GB004398