Professional summary

Research Interests

I am interested in species' population dynamics and spatial distributions, what drives them and methods that can be used to predict them. At present I mostly use statistical models and machine learning to try and draw inferences about species' geographic distributions from unstructured occurrence data. In the past I have developed and applied mechanistic individual-based models to try and predict how fish stocks will respond to various environmental and management scenarios.

 

Publications:

2022

Watson, J. W., Boyd, R., Dutta, R., Vasdekis, G., Walker, N. D., Roy, S., Everitt, R., Hyder, K., & Sibly, R. M. (2022). Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass ✰. Ecological Modelling, 466, 109878. https://doi.org/10.1016/j.ecolmodel.2022.109878

2021

Boyd, R. J., Powney, G., Carvell, C., & Pescott, O. L. (2021). occAssess: An R package for assessing potential biases in species occurrence data. Ecology and Evolution, September. https://doi.org/10.1002/ece3.8299

Boyd, R. J., Isaac, N. J. B., Cooke, R., Mancini, F., August, T., Powney, G. D., Logie, M. W., & Roy, D. B. (2021). Practical considerations for implementing species distribution Essential Biodiversity Variables. Biodiversity Information Science and Standards. https://doi.org/10.3897/biss.5.75156

2020

Boyd, R., Walker, N., Hyder, K., Thorpe, R., Roy, S., & Sibly, R. (2020). SEASIM-NEAM: a Spatially-Explicit Agent-based SIMulator of NorthEast Atlantic Mackerel population dynamics. MethodsX, 7(2014), 100892. http://doi.org/10.1016/j.mex.2020.100892

Boyd R, Thorpe R, Hyder K, Roy S, Walker N and Sibly R (2020) Potential Consequences of Climate and Management Scenarios for the Northeast Atlantic Mackerel Fishery. Front. Mar. Sci. 7:639. doi: 10.3389/fmars.2020.00639

Boyd, R., R. M. Sibly, K. Hyder, R. B. Thorpe, N. D. Walker, and S. Roy. 2020. Simulating the summer feeding distribution of Northeast Atlantic mackerel with a mechanistic individual-based model. Progress in Oceanography 183:102299.

Mintram, K. S., Maynard, S. K., Brown, A. R., Boyd, R., Johnston, A. S. A., Sibly, R. M., … Tyler, C. R. (2020). Applying a mechanistic model to predict interacting effects of chemical exposure and food availability on fish populations. Aquatic Toxicology, 224(November 2019), 105483. http://doi.org/10.1016/j.aquatox.2020.105483

Walker, A. N., Boyd, R., Watson, J., Radford, Z., Readdy, L., Sibly, R., … Hyder, K. (2020). A spatially explicit individual-based model to support management of commercial and recreational fisheries for European sea bass Dicentrarchus labrax. Ecological Modelling, 44(0), 524450. http://doi.org/10.1016/j.ecolmodel.2020.109179

Watson, J. W., Hyder, K., Boyd, R., Thorpe, R., Simon, M., Keno, W., … Sibly, R. M. (2020). Assessing the sublethal impacts of anthropogenic stressors on fish : An energy-budget approach. Fish and Fisheries, (June), 1–12. http://doi.org/10.1111/faf.12487

2019

Johnston, A. S. A., Boyd, R. J., Watson, J. W., Paul, A., Evans, L. C., Gardner, E. L., … El, G. (2019). Predicting population responses to environmental change from individual- level mechanisms : towards a standardized mechanistic approach. Proceedings. Biological Sciences / The Royal Society.

2018

Boyd, R., S. Roy, R. Sibly, R. Thorpe, and K. Hyder. 2018. A general approach to incorporating spatial and temporal variation in individual-based models of fish populations with application to Atlantic mackerel. Ecological Modelling 382:9–17.

 

Qualifications

Bsc (hons), MSc, PhD