Given the economic, social and environmental value of the marine environment it makes sense to manage it in a way that ensures long term sustainability of both ecosystems and human uses. We can only do this if we understand the impact that human activities and management practises have on marine systems, including people. Spatial management measures such as fishery closures, marine protected areas and marine plans have emerged as a core component of the UK's marine management portfolio. In essence, spatial management aims to incorporate the diversity of human uses, consider the compatibility of different activities, and balance use with the impacts of these activities on biodiversity and people. Yet despite the extensive use of spatial management, substantial gaps in understanding exist regarding how to monitor the impacts of spatial management measures and evaluate their effectiveness across environmental, social and economic outcomes. Our research aims to systematically bring together the available evidence on existing and emerging environmental, social and economic techniques for monitoring the effects of spatial management measures and evaluating their effectiveness. In particular we will focus on examples from countries with a coastline and in a similar socio-economic and political context to the UK. By clearly and transparently describing this evidence, we will be able to explore understanding surrounding methods for how to monitor and evaluate spatial management measures, and inform the development of guidelines and future monitoring and evaluation practises across the UK. Our findings, in the form of a database, will be published alongside an article in the open-access journal Environmental Evidence, providing a highly accessible, freely available summary of the evidence. We will also produce a one-page policy summary, to disseminate our results to decision-makers, and a set of guidelines for use to facilitate application of our database. By making these outputs publicly available and easy to use we will give our work a lasting legacy beyond the life of the project. For example, researchers will be able to easily update and build on our database as desired or design research to fill evidence gaps, and decision-makers will be able to easily locate evidence of relevance to inform their monitoring and management activities. We will involve key stakeholders through our Stakeholder Group in the design of our project and discuss our results with them to ensure they are used to help inform spatial management in the UK. The evidence base collated within this project is anticipated to benefit a wide range of sectors and users of the marine environment, as well as nature conservation and academic research. These benefits will extend beyond the UK to international policy audiences facing similar challenges in determining the impact of their spatial management activities. Our extended review team demonstrates the interdisciplinarity nature of this project being composed of researchers specialising in marine and fisheries management from environmental, social, economic and policy perspectives based across academic and charitable institutions. Our existing Stakeholder Group attests to the value of this project with support from: the Department of Environment, Food and Rural Affairs (Defra), the Marine Management Organisation (MMO), Marine Scotland Science (MSS), Department of Agriculture, Environment and Rural Affairs (DAERA), Joint Nature Conservation Committee (JNCC), the Inshore Fisheries and Conservation Authorities (IFCAs), and the Centre for Environment, Fisheries and Aquaculture Science (Cefas). We will seek to extend our Stakeholder Group to incorporate all of the UK Statutory Nature Conservation Bodies during the project programme. Keywords: evaluation methods; fishery closure; marine spatial management; marine protected area; marine spatial plan; monitoring methods; systematic map

It is important for the Government to be able to predict the future energy needs of UK industries, homes and transport to ensure sufficient supply. At the same time, the UK needs to plan to reduce energy use in order to meet climate change reduction targets. At the moment the UK Government uses an Energy Demand Model which makes future energy predictions based on estimates of economic growth, the price of fuel and the number of households there will be in the future. This technique for predicting future energy needs is deficient, because it fails to take account of the fact that household demand for goods and services is the major driver of the economic performance of industry, and that the way households spend today is likely to be very different in the future. My fellowship takes a 'whole systems' approach to understanding the UK's demand for energy. The link between household spends and industrial energy use can be determined by quantifying the total energy required in the supply chain of producing a product. It is also possible to capture the energy that is embedded in goods exported abroad and goods imported to the UK from other countries with very different energy efficiency standards in their factories. I will develop a new indicator of energy demand: 'the UK's Energy Footprint' which shows the full amount of energy associated with products bought by UK consumers between 2005 and 2015. I have met with the Department for Business, Energy and Industrial Strategy (BEIS) to ensure that this new indicator will be reported alongside the Carbon Footprint. Instead of simply looking at the changing goods and services bought by an average household, this fellowship will consider the differing expenditure profile of up to 60 different household types between 2005 and 2015. For this, I will use geodemographic expenditure profiles developed by CallCredit, a credit reference company. The main user of geodemographic data is the business sector understanding their consumers, so it is important that the data is current and constantly kept up-to-date. Producers of this type of data do not keep previous years' profiles as a readily available product. This means that their data has never been used to understand the changing geodemographic profile in the UK or elsewhere. I have made an agreement with CallCredit to exclusively acquire a decade's worth of expenditure data from their archive. This means that it will be possible for the first time to determine whether the energy needs of the UK have altered due to households buying different types of products or whether the change is due to the mix of households in the UK changing. I will use mathematical analyses to calculate the drivers of the change in UK energy demand. The research will be able to determine what effect the recession had on the energy demand of different households. I will then focus on using predictions of the changing household types and predictions on how lifestyles may change in the future to estimate what the UK's demand for energy will be in 2030. There is uncertainty as to how the UK's infrastructure might have to change in order to cope with an aging population or the trend for homeworking. This fellowship will address this by determining the energy requirements of these futures by forming scenarios which calculate the UK's energy needs when there are greater proportions of these types of household present in the UK's demography. Outputs from this research will also be used to verify the BEIS's future energy demand scenarios and provide new inputs to their Energy Demand Model. This work therefore has great importance in ensuring the UK can meet the energy needs of its businesses and people, and become more sustainable, now and in the future.