Professional summary

Chris is an environmental data analyst working in the Catchment to Coast group of the Soils and Land Use Science area at Bangor. He specialises in applied statistical and spatial analysis of soils data including large-scale monitoring datasets and digital maps of soil health related properties such as organic carbon content. He also has interests in processes germane to the soil-freshwater interface, particularly soil erosion, soil compaction and river channel change, and has experience applying spatial and process-based models to better understand these environmental issues.

Chris is currently working on the following projects: The Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP); AI4SoilHealth [WP3: Novel soil health indicators for Europe]; AgZero+ [WP1: A national digital farmland observatory]; and, The International science for Net Zero Plus programme [Project 2C: Net Zero Plus trade-offs in sub-Saharan Africa].

Selected publications

Feeney Christopher J. et al. , (2024), Benchmarking soil organic carbon (SOC) concentration provides more robust soil health assessment than the SOC/clay ratio at European scale. Science of The Total Environment, 951, http://dx.doi.org/10.1016/j.scitotenv.2024.175642

Thomas A. et al. , (2024), Topsoil porosity prediction across habitats at large scales using environmental variables. Science of The Total Environment, http://dx.doi.org/10.1016/j.scitotenv.2024.171158

Feeney Christopher J. et al. , (2023), Development of soil health benchmarks for managed and semi-natural landscapes. Science of the Total Environment, 886, https://www.sciencedirect.com/science/article/pii/S0048969723025949

Feeney Christopher J. et al. , (2023), Agricultural practices drive elevated rates of topsoil decline across Kenya, but terracing and reduced tillage can reverse this. Science of the Total Environment, 870, https://www.sciencedirect.com/science/article/pii/S0048969723005405

Robinson D.A. et al. , (2022), Analytical modelling of soil porosity and bulk density across the soil organic matter and land-use continuum. Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-11099-7

Feeney C.J. et al. , (2022), Multiple soil map comparison highlights challenges for predicting topsoil organic carbon concentration at national scale. Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-05476-5

Feeney Christopher J. et al. , (2022), Forecasting riverine erosion hazards to electricity transmission towers under increasing flow magnitudes. Climate Risk Management, 36, https://www.sciencedirect.com/science/article/pii/S2212096322000468?via%3Dihub=#!

Bentley Laura et al. , (2023), Qualitative impact assessment of land management interventions on ecosystem services (“QEIA”). Report-3 theme-6: carbon sequestration. https://randd.defra.gov.uk/ProjectDetails?ProjectId=21327

Robinson D.A. et al. , (2021), Environment and Rural Affairs Monitoring & Modelling Programme - ERAMMP Report-57: Image Resolution Testing for Soil Erosion and Damage Features.

Alison J. et al. , (2020), Environment and Rural Affairs Monitoring & Modelling Programme - ERAMMP Report-30: Analysis of National Monitoring Data in Wales for the State of Natural Resources Report 2020.

Other Publications

Feeney, C.J., Chiverrell, R.C., Smith, H.G., Hooke, J.M. and Cooper, J.R., 2020. Modelling the decadal dynamics of reach‐scale river channel evolution and floodplain turnover in CAESAR‐Lisflood. Earth Surface Processes and Landforms, 45(5), pp.1273-1291.

https://onlinelibrary.wiley.com/doi/full/10.1002/esp.4804