| Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology N Trifonova, A Kenny, D Maxwell, D Duplisea, J Fernandes, A Tucker Ecological Informatics 30, 142-158, 2015 | 76 | 2015 |
| Predicting ecosystem responses to changes in fisheries catch, temperature, and primary productivity with a dynamic Bayesian network model N Trifonova, D Maxwell, J Pinnegar, A Kenny, A Tucker ICES Journal of Marine Science 74 (5), 1334-1343, 2017 | 46 | 2017 |
| Hidden variables in a Dynamic Bayesian Network identify ecosystem level change L Uusitalo, MT Tomczak, B Müller-Karulis, I Putnis, N Trifonova, A Tucker Ecological Informatics 45, 9-15, 2018 | 43 | 2018 |
| Satellite data for the offshore renewable energy sector: synergies and innovation opportunities E Medina-Lopez, D McMillan, J Lazic, E Hart, S Zen, A Angeloudis, ... Remote Sensing of Environment 264, 112588, 2021 | 23 | 2021 |
| Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model N Trifonova, M Karnauskas, C Kelble PloS one 14 (1), e0209257, 2019 | 16 | 2019 |
| Bayesian network modelling provides spatial and temporal understanding of ecosystem dynamics within shallow shelf seas N Trifonova, B Scott, M De Dominicis, J Waggitt, J Wolf Ecological Indicators 129 (107997), 2021 | 12 | 2021 |
| Network approaches for formalizing conceptual models in ecosystem-based management JCP Reum, CR Kelble, CJ Harvey, RP Wildermuth, N Trifonova, ... ICES Journal of Marine Science 78 (10), 3674-3686, 2021 | 10 | 2021 |
| An ecosystem-based natural capital evaluation framework that combines environmental and socio-economic implications of offshore renewable energy developments N Trifonova, B Scott, R Griffin, S Pennock, H Jeffrey Progress in Energy 4 (3), 032005, 2022 | 8 | 2022 |
| A spatio-temporal Bayesian network approach for revealing functional ecological networks in fisheries N Trifonova, D Duplisea, A Kenny, A Tucker International Symposium on Intelligent Data Analysis, 298-308, 2014 | 8 | 2014 |
| 2017 Ecosystem status report update for the Gulf of Mexico M Karnauskas, CR Kelble, S Regan, C Quenée, R Allee, M Jepson, ... National Oceanic and Atmospheric Administration, 2017 | 5 | 2017 |
| A new strategic framework to structure Cumulative Impact Assessment (CIA) M Declerck, N Trifonova, J Black, J Hartley, BE Scott International Marine Energy Journal 5 (3), 339-347, 2022 | 4 | 2022 |
| Use of our Future Seas: Relevance of Spatial and Temporal Scale for Physical and Biological Indicators N Trifonova, B Scott, M De Dominicis, J Wolf Frontiers in Marine Science, 2021 | 4 | 2021 |
| Cumulative effects of offshore renewables: from pragmatic policies to holistic marine spatial planning tools M Declerck, N Trifonova, J Hartley, BE Scott Environmental impact assessment review 101, 107153, 2023 | 3 | 2023 |
| A paradigm for understanding whole ecosystem effects of offshore wind farms in shelf seas N Isaksson, BE Scott, GL Hunt, E Benninghaus, M Declerck, K Gormley, ... ICES Journal of Marine Science, fsad194, 2023 | 1 | 2023 |
| Ecosystem indicators: predicting population responses to combined climate and anthropogenic changes in shallow seas NI Trifonova, BE Scott Ecography, e06925, 2023 | 1 | 2023 |
| Climate Change Impacts on Fish of Relevance to the UK and Ireland CJ Fox, C Marshall, MH Stiasny, N Trifonova MCCIP Science Review, 2, 2023 | 1 | 2023 |
| Incorporating regime metrics into latent variable dynamic models to detect early-warning signals of functional changes in fisheries ecology N Trifonova, D Duplisea, A Kenny, D Maxwell, A Tucker Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014 | 1 | 2014 |
| Comparing Conceptual Model Simulations for Ecosystem-Based Management CR Kelble, N Trifonova, J Reum, R Wildermuth, C Harvey, S Lucey Ocean Sciences Meeting 2020, 2020 | | 2020 |
| Predicting Ecological Responses to Climate Variability with a Dynamic Bayesian Network Model N Trifonova PICES: North Pacific Marine Science Organization, 2018 | | 2018 |
| Detecting the Gulf of Mexico’s Response to Hurricane Katrina Via a Suite of Ecosystem Indicators M Karnauskas, C Kelble, S Regan, C Quenee, R Allee, M Jepson, ... 147th Annual Meeting of the American Fisheries Society, 2017 | | 2017 |
Allan TuckerSenior Lecturer, Brunel UniversityVerified email at brunel.ac.uk
