Naomi Vaughan
Professor at University of East Anglia
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Naomi Vaughan is a Professor at the University of East Anglia in the United Kingdom. Her research focuses on climate strategy, particularly in relation to carbon dioxide removal, greenhouse gas emissions, and bioenergy systems. She has contributed to a range of recent articles discussing national climate strategies, the role of forests and soils in achieving net-zero targets, and the challenges of implementing marine CO2 removal for climate mitigation.
Positions (1)
Naomi Vaughan
University of East Anglia
9 months ago
[£20,780 studentship funding available.] This PhD studentship at the University of East Anglia offers a unique opportunity to investigate the exposure of forest carbon projects to wildfire risk on a global scale, with a focus on evolving threats under climate change. The project is a CASE collaboration with BeZero Carbon Limited, leveraging their extensive dataset of approximately 3,000 global carbon projects. Carbon dioxide removal (CDR) is a cornerstone of future climate scenarios and national policies aiming for net zero emissions by 2050, with forest expansion through afforestation and reforestation playing a central role. However, the permanence and effectiveness of these projects are increasingly threatened by disturbances such as wildfires, which remain an under-studied risk factor. The research will compile a comprehensive global database of ongoing and planned forest carbon project boundaries, evaluate the effects of wildfire on these projects since 2000 using the Global Fire Atlas, and assess the net benefit of carbon projects by accounting for ecosystem recovery after fire events. Projections of future fire extent will be used to predict changes in exposure at different global warming levels (1.5–4.0°C), and the findings will inform prototype estimates of buffer pool sizes required to insure against future fire risk, tailored to specific regions. Applicants should have a strong quantitative background, with a degree in a numerate, computational, or environmental discipline. Essential skills include geospatial analysis using GIS, and programming experience in R or Python is highly desirable. The studentship provides funding of £20,780 and is open to both full-time and part-time study, starting on 1 October 2026. Entry requirements include at least a UK equivalent Bachelors (Honours) 2:1 and English language proficiency (IELTS 6.5 overall, minimum 6 in each category). This project is ideal for candidates interested in climate change mitigation, forest ecology, geospatial data analysis, and quantitative research. You will work under the supervision of Professor Naomi Vaughan and collaborate with BeZero Carbon Limited, gaining exposure to cutting-edge research and practical applications in climate policy and carbon project management. To apply, visit the University of East Anglia's postgraduate research application portal and submit your CV, academic transcripts, and evidence of English language proficiency. Highlight your quantitative and geospatial skills in your application. The deadline for applications is 7 January 2025.
9 months ago
Articles (13)
Year:
2025
Achieving net zero CO2 emissions requires gigatonne-scale atmospheric CO2 removal (CDR) to balance residual emissions that are extremely difficult to eliminate. Marine CDR (mCDR) methods are seen increasingly as potentially important additions to a global portfolio of climate policy actions. The most widely considered mCDR methods are coastal blue carbon and seaweed farming that primarily depend on biological manipulations; ocean iron fertilisation, ocean alkalinity enhancement, and direct ocean capture that depend on chemical manipulations; and artificial upwelling that depends on physical manipulation of the ocean system. It is currently highly uncertain which, if any, of these approaches might be implemented at sufficient scale to make a meaningful contribution to net zero. Here, we derive a framework based on additionality, predictability, and governability to assess implementation challenges for these mCDR methods. We argue that additionality, the net increase of CO2 sequestration due to mCDR relative to the baseline state, will be harder to determine for those mCDR methods with relatively large inherent complexity, and therefore higher potential for unpredictable impacts, both climatic and non-climatic. Predictability is inherently lower for mCDR methods that depend on biology than for methods relying on chemical or physical manipulations. Furthermore, predictability is lower for methods that require manipulation of multiple components of the ocean system. The predictability of an mCDR method also affects its governability, as highly complex mCDR methods with uncertain outcomes and greater likelihood of unintended consequences will require more monitoring and regulation, both for risk management and verified carbon accounting. We argue that systematic assessment of additionality, predictability, and governability of mCDR approaches increases their chances of leading to a net climatic benefit and informs political decision-making around their potential implementation.
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2024
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2024
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2024
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2020
Collaborators (13)
Andrew Jordan
University of East Anglia
Laurie Waller
The University of Manchester
Anna Harper
Associate Professor
University of Georgia
Irene Lorenzoni
Senior Lecturer in Environmental Governance
University of East Anglia
Clair Gough
The University of Manchester
Charlie Wilson
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Jason Chilvers
University of East Anglia
Diarmaid Clery
The University of Manchester
Phillip Williamson
University of East Anglia
Johanna Forster
University of East Anglia
Astley Hastings
Professor at School of Biological Sciences
University of Aberdeen
Keywan Riahi
International Institute for Applied Systems Analysis
Alice Larkin
Professor at Faculty of Humanities Doctoral Academy, Alliance Manchester Business School
The University of Manchester
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