Advanced Research Fellow
- About
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- Email Address
- neda.trifonova@abdn.ac.uk
- Office Address
School of Biological Sciences
Zoology Building, Rm 416
Tillydrone Avenue
Aberdeen
AB24 2TZ
- School/Department
- School of Biological Sciences
Biography
Neda's research interests include ecosystem modelling; the application of machine learning techniques, such as Bayesian networks, to investigate environmental aspects of offshore renewable energy and climate change. Neda also has interest in natural capital approaches, cumulative and environmental assessments, and evaluation tools for the delivery of environmental net gain and socio-economic benefits.
Qualifications
- PhD Computer Science2016 - Brunel University
Latest Publications
Ecosystem indicators: Predicting population responses to combined climate and anthropogenic changes in shallow seas
Ecography, vol. 2024, no. 3, e06925Contributions to Journals: ArticlesA paradigm for understanding whole ecosystem effects of offshore wind farms in shelf seas
ICES Journal of Marine Science, pp. 1-12Contributions to Journals: ArticlesClimate Change Impacts on Fish of Relevance to the UK and Ireland
MCCIP Science Review 2023. 17 pagesBooks and Reports: Commissioned Reports- [ONLINE] DOI: https://doi.org/10.14465/2023.reu10.fsh
Cumulative effects of offshore renewables: From pragmatic policies to holistic marine spatial planning tools
Environmental impact assessment review, vol. 101, 107153Contributions to Journals: ArticlesA new strategic framework to structure Cumulative Impact Assessment (CIA)
International Marine Energy Journal, vol. 5, no. 3, pp. 339-347Contributions to Journals: Articles
Prizes and Awards
- Scottish Universities Life Sciences Alliance (SULSA) Early Career Reseacher (ECR) Prize for the Ecosystems Theme
- British Ecological Society/NatureScot Policy Fellowship 2021-2022
- Research
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Research Areas
Biological and Environmental Sciences
Computing Science
Current Research
ECOWind/ Physics-to-Ecosystem Level Assessment of Impacts of Offshore Windfarms (PELAgIO) (2022-25, NERC/The Crown Estate). PELAgIO will support the development of evidence-based policy and marine management through interdisciplinary research that explores the consequences of offshore wind development on marine ecosystems. By observing and modelling over a large range of physical and biological scales, using a combination of autonomous platforms and ocean robots, research vessels and satellite observations, PELAgIO will build an ecosystem-level understanding of projected changes.
The Marine Energy, Biodiversity and Food Nexus (EcoNex) (2022-24, UKERC). This project will work with renewable industry and policy bodies to enable evidence-based, informed actions to improve decision making when balancing environmental, social, and economic impacts and ensuring marine net gain, as part of national policy assessments.
Supergen Offshore Rnewable Energy (ORE) Hub (2019-2022 EPSRC). The aim of the project is to bring together and stimulate synergistic adventurous research that supports and accelerates the development of offshore wind, wave and tidal technologies for society’s benefit. Neda will be using machine learning techniques such as Bayesian networks to investigate the effect of offshore renewable energy and climate change on the North Sea marine system. She also will be looking at developing evaluation tools to enable the exploration of trade-offs in a range of currencies for net gain, such that objective judgements can be made as to how to best maximise the environmental and social co-benefits, while delivering net zero.
Past Research
- National Oceanic and Atmospheric Administration’s Integrated Ecosystem Assessment Programme for the Gulf of Mexico (2017-2019). Development of quantitative and qualitative Bayesian network models for the better understanding of population dynamics within different ecosystems.
- PhD in Computer Science from Brunel University, 2016. Development of dynamic Bayesian networks to investigate fish population dynamics throughout space and time within the North Sea and understand their interactions with fisheries and climate. The PhD was conducted in collaboration with the Centre for Environment Fisheries Aquaculture Science (UK) and the Maurice Lamontagne Institute, part of a network of Fisheries and Oceans (DFO), Canada in Mont-Joli, Quebec.
Supervision
- Morgane Declerck, PhD Candidate (2019-2023). Project title: “Sustainable Marine Ecosystems and Offshore Energy: A Bayesian modelling approach”. DEFRA BEIS Hartley Anderson Ltd (Co-I)
- Ella-Sophia Benninghaus, PhD Candidate (2020-2023). Project title: “Climate Change and Predator-prey Populations”. SUPER-DTP (Co-I)
Funding and Grants
- Scottish Alliance for Geoscience, Environment and Society (SAGES) Postdoctoral and Early Career Researcher Exchange (PECRE) Award (PI)
- Scottish Universities Life Sciences Alliance (SULSA) Early Career Researcher (ECR) Prize Winner 2020 Ecosystems Theme (PI)
- Publications
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Ecosystem indicators: Predicting population responses to combined climate and anthropogenic changes in shallow seas
Ecography, vol. 2024, no. 3, e06925Contributions to Journals: ArticlesA paradigm for understanding whole ecosystem effects of offshore wind farms in shelf seas
ICES Journal of Marine Science, pp. 1-12Contributions to Journals: ArticlesClimate Change Impacts on Fish of Relevance to the UK and Ireland
MCCIP Science Review 2023. 17 pagesBooks and Reports: Commissioned Reports- [ONLINE] DOI: https://doi.org/10.14465/2023.reu10.fsh
Cumulative effects of offshore renewables: From pragmatic policies to holistic marine spatial planning tools
Environmental impact assessment review, vol. 101, 107153Contributions to Journals: ArticlesA new strategic framework to structure Cumulative Impact Assessment (CIA)
International Marine Energy Journal, vol. 5, no. 3, pp. 339-347Contributions to Journals: ArticlesAn ecosystem-based natural capital evaluation framework that combines environmental and socio-economic implications of offshore renewable energy developments
Progress in Energy, vol. 4, no. 3, 032005Contributions to Journals: ArticlesUse of our Future Seas: Relevance of Spatial and Temporal Scale for Physical and Biological Indicators
Frontiers in Marine Science, vol. 8, 769680Contributions to Journals: ArticlesNetwork approaches for formalizing conceptual models in ecosystem-based management
ICES Journal of Marine Science, vol. 78, no. 10, pp. 3674-3686Contributions to Journals: ArticlesSatellite data for the offshore renewable energy sector: synergies and innovation opportunities
Remote Sensing of Environment, vol. 264, 112588Contributions to Journals: ArticlesBayesian Network Modelling provides Spatial and Temporal Understanding of Ecosystem Dynamics within Shallow Shelf Seas
Ecological Indicators, vol. 129, 107997Contributions to Journals: Articles