Society faces major challenges from viral diseases. The recent Zika and Ebola outbreaks are only two examples of the devastating impact of viral illnesses on human health, and viral pathogens infecting agriculturally important livestock and plants simultaneously reduce food production and inflict great annual financial losses worldwide. Viruses, however, also have positive impacts on health and ecology. They balance and stabilise our gut microbiome, preventing serious illnesses such as certain autoimmune diseases, and influence our climate owing to their roles in carbon cycling in the oceans. It is therefore paramount to better understand virus structure and function across the entire virosphere in order to control, and even take advantage of, viruses in medicine and biotechnology. I have demonstrated previously that mathematical approaches developed in tandem with experimentalists are drivers of discovery of functionally crucial structural viral features, revealing their novel functional roles in viral life cycles, and enabling their exploitation in therapy and biotechnology. Previously developed mathematical approaches were geared towards a specific major sub-group of the virosphere. In this research programme, I will both broaden and deepen the development of novel mathematical techniques. Working in close collaboration with leading experimental groups, at a larger scale, I will identify functionally important geometric viral features in a number of major groups of viruses. This will include: geometric strand assortment in multipartite viruses, such as the major agricultural pathogen Bluetongue virus; the assembly of retroviruses like HIV, with applications to the construction of virus-like particles from viral components as vectors for gene editing and therapy; and the structure and evolution of viruses important for the gut microbiome and marine ecology. By linking structural features with their functions, I will address open problems regarding drivers of evolution in one of the simplest yet most important groups of biological entities. This approach will unmask evolutionarily conserved functional features that can be used as novel targets in anti-viral therapy, for the development of novel safer vaccines or repurposed in bionanotechnology.

Targeted management of the UK's fire prone landscapes will be crucial in enabling the country to achieve its commitments both to reach net zero by 2050 and to halt species decline by 2030. Many of our fire prone landscapes represent nationally significant carbon (C) stores. They also provide key habitats for unique species including many on the UK BAP Priority Species listing and are of strategic conservation value. But these typically shrub and grass dominated ecosystems are threatened both by the changing UK wildfire regime and some management tools aimed to mitigate this risk. Critical trade-offs therefore exist between the impact of episodic severe wildfire events and ongoing long term management practises, as well as between the positive and negative impacts of management tools on different prioritised ecosystem services; notably between C storage, habitat management and biodiversity provision. These trade-offs and the associated best management practises will vary between landscapes that have different management history, vegetation composition, legacy soil C stores and natural environmental conditions. Thus selection of the appropriate land management from the diverse toolkit available needs to be very carefully considered; the right tool to address the right priorities at the right location. The evidence base to make this complex choice, however, is currently weak. This undermines the ability of decision makers locally and nationally to assess the consequences of different wildfire management tools. IDEAL UK FIRE will address this urgent need, by determining the environmental costs and benefits of widely applied fuel management tools (burning, cutting, rewetting and managed succession) on habitat quality, biodiversity and the carbon balance in fire prone UK landscapes. We will directly contrast those medium-/long-term responses against the initial impact of the fuel management interventions and potential wildfires of varying severity. Through i) observations and collation of extensive historical monitoring, ii) experimental burns and wider management intervention and iii) the adaptation and application of the JULES land surface model, FlamMap fire analysis system and the Rangeshifter eco-evolutionary modelling platform, the project will: - Quantify carbon consumption and charcoal production across a range of (wild)fire and management intensities in different landscapes and under different land management strategies. - Determine the medium-term trajectories of biodiversity and carbon balance post intervention through a national chronosequence of management tools. - Develop next generation models to simulate the national long-term consequences of land management strategies to the UK ecosystem carbon balance, carbon climate feedbacks, habitat quality and biodiversity. We embed all this knowledge into a newly developed accredited training module for the land management sector. The module supports land managers to understand the consequences of different management tools, supporting them to make informed decisions in their landscapes to best meet both national and local management goals. The training programme will provide a generalisable frame-work to evaluate land management practices and a knowledge platform to inform government policy on the costs and benefits of wildfire management tools.

Summary of research for a general audience One of the most exciting frontiers of science is the study of phenomena that take place on the timescale of attoseconds (as, 10^-18 s). To imagine such an incredibly short period of time, consider that light travels from here to the moon in one second, but only travels 0.0003mm in one femtosecond (fs, 10^-15 s). To put it in context, that is about 1/300th the width of a human hair in 10^-15 s (or 1000 as). Attoseconds are the timescales on which atomic processes/transitions occur - for example, an electron circles the hydrogen atom in ~24 as (the so called 'atomic unit of time'). To investigate, and in future control, the dynamics of such ultrafast processes measurement tools of unprecedented quality and precision are required - pulses of light with attosecond duration. This is much shorter than a single cycle of any visible light wave (violet~1.3fs, red~2.5fs), requiring instead extreme-ultraviolet (XUV)/ X-ray radiation to be controlled with clinical accuracy to achieve ultrashort durations. However, the pay-off for this effort is substantial; researchers can investigate the microcosm with a degree of spatial clarity and on shorter time scales than previously possible, thus allowing them to see events that are ordinarily 'blurred' using conventional XUV/X-ray sources such as synchrotrons. Attosecond pulses must be synthesized using wavelengths shorter than those in the visible region of the spectrum and therein lies a significant problem - wavelengths shorter than the visible spectrum i.e. ultraviolet and X-rays, are strongly absorbed in most materials. It is therefore impossible to build an attosecond laser using conventional laser building techniques. Instead next generation methods are required. Two principle media are currently being studied at laser laboratories around the world - intense laser-gas interactions and relativistic laser plasmas formed using solid density targets - for the production of attosecond pulses. In the proposed research we focus on the second medium - relativistic laser plasma. The underlying mechanism under investigation for the generation of intense attosecond pulses is the production of relativistic electron nanobunches during high power optical laser interactions with ultrathin carbon foils. This novel concept is based on our recent work showing that dense bunches of electrons with sub 10nm scale (nm = nanometer = 10^-9m) can be formed and rapidly accelerated on the front surface by the relativistically intense driving laser field and subsequently emerge from the rear surface of ultrathin carbon foils. Two resulting mechanisms will be studied in detail in this research - Coherent Synchrotron Emission (CSE) and Relativistic Electron Mirrors (REM). Only recently demonstrated, CSE and REM offer a novel window onto the relativistic laser plasma interaction and our work will not only reveal the microscopic dynamics of these mechanisms but also show a direct path to the generation of bright attosecond pulses.

This proposal aims to improve estimates of Antarctica's contribution to sea level. Sea level is currently rising at approximately 3mm/yr. If we are to understand why it is rising and how future sea-level rise will continue - perhaps accelerate - and lead to a wide range of societal impacts then we need to understand the different contributions to sea level. Some of the largest contributions come from the great ice sheets in Antarctica and Greenland but the amount of ice being lost from Antarctica is particularly difficult to establish. There are three main ways to measure the amount of ice being lost or gained from Antarctica - its 'mass balance'. These are (i) satellite altimetry (measuring very precisely how the ice sheet surface is going up or down through time); (ii) the input-output method (calculating the difference between estimates of how much snow falls on Antarctica, and how much ice breaks off at the coast or is lost by melting); (iii) satellite gravimetry (measuring minute changes in Earth's gravitational field caused by loss or gain of ice in Antarctica through time). Ideally, these three techniques would provide similar answers but they currently do not. All the techniques have problems or drawbacks and all are the subject of ongoing research. In this proposal we focus on the satellite gravimetry method. Mass balance from gravimetry is particularly tricky to calculate because the changes to the gravitational field are not only affected by ice loss/gain but also by mass moving around beneath the Earth's crust. At the end of the last ice age, a large thickness of ice in Antarctica melted and the rocks deep within the Earth are still responding to this change 1000s of years later. The consequence of this response - which scientists call glacial-isostatic adjustment or 'GIA' - is that the satellite measurements have to be corrected by a very large amount that accounts for movements of the rocky material and thus to provide the 'real' figure for ice mass loss/gain. It is getting this correction right that has been so problematic because it requires us to know the history of the ice sheet (including past snow accumulation) for over 10,000 years and also to know the structure of the Earth underneath Antarctica. Recent projects including a previous one by our group that was funded by NERC have made substantial improvements in determining this correction but our recently published work has shown very clearly that we still lack data to pin down the GIA correction tightly enough in parts of East Antarctica. In other words there is still an unacceptable level of uncertainty in East Antarctica, which leads directly to uncertainty in sea-level contribution. In this proposal we have identified a region called Coats Land, in East Antarctica, which accounts for the greatest remaining uncertainty in the GIA correction but where we have managed to identify suitable sites where we can obtain the necessary ice history information, new seismic measurements of crustal structure, and GPS measurements of crustal uplift (a key part of testing GIA models). By visiting these sites and undertaking some world-leading modelling using our field data and a synthesis of existing snow accumulation data we will provide a new and much improved GIA correction for Antarctica. Whilst our data collection focus will be on Coats Land our subsequent modelling effort will encompass all of Antarctica. The data will be used to develop an improved model of GIA in Antarctica in order to correct the GRACE dataset. We conservatively estimate that with the measurements and modelling that we propose to carry out then we can at least halve the total uncertainty in satellite gravimetry measurements of Antarctic mass balance, and probably do substantially better than this. This proposal raises the prospect of getting an improved estimate of the Antarctic contribution to present-day global sea level rise.

This project has two fundamental scientific aims: (1) to determine whether, and in what form, microbial life exists in Antarctic subglacial lakes, and (2) to determine the history of the West Antarctic Ice Sheet. To meet these aims, we will undertake the direct measurement and sampling of water and sediment within Subglacial Lake Ellsworth in West Antarctica. For over a decade, scientists have regarded subglacial lakes to be extreme yet viable habitats for microbial life. Additionally, sedimentary palaeoenvironment records are thought to exist on the floors of subglacial lakes, which would provide critical insights into the glacial history of Antarctica. Of the >150 known subglacial lakes, Lake Ellsworth stands out as an ideal candidate for exploration. Through a NERC-AFI award, glaciologists have shown the lake, beneath 3 km of ice, to be 10 km long, 2-3 km wide and 160 m deep, confirming it as an ideal deep-water lake for exploration. The deployment of heavy equipment has been shown to be possible at this location, based on several deep-field reconnaissance studies. This project will build, test and deploy all the equipment necessary to complete the experiment in a clean and environmentally responsible manner. Samples will be analysed and split at laboratories in the field and at Rothera Station, and then distributed to laboratories across the UK. This project, which has been in a planning stage for four years, will be a benchmark exercise in the exploration of Antarctica, will make profound scientific discoveries regarding life in extreme environments and West Antarctic Ice Sheet history, and will be of genuine interest to the public and media.