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Abstract: In a world constantly shaped by climate change, the search for decarbonising pathways will deliver many innovative technological solutions as well as trigger changes in the way people behave. This however will take time and will require negotiations and new business models. There is increasing evidence that arresting climate change at 2°C is unlikely to be attained in a world where carbon is essential for development. Achieving agreement and commitments between developed and developing countries have proven difficult but is there something that those most responsible for the current levels of CO2e emissions in the atmosphere can do? The paper examines food consumption and argues that there is a lot of potential for decarbonisation if people reduce their meat consumption. The highest levels of meat consumption are observed in the developed world and the livestock sector has been shown to be the largest single contributor for greenhouse gas emissions globally. Estimates indicate that a low-meat diet can reduce the cost of abating climate change. The paper presents an argument as to how flexitarianism – reduced meat consumption to the recommended healthy levels, can help in arresting climate change. Flexitarianism offers an easy way to achieve fast decarbonisation and has the added benefits of contributing towards improving not only the biophysical health of the planet but also that of its human habitants. [Copyright &y& Elsevier]

Society's dependence on weather systems has broadened to include electricity generation from wind turbines. Climate change is altering energy flows in the atmosphere, which will affect the economic potential of wind power. Changes to wind resources and their upstream impacts on the energy industry have received limited academic attention, despite their risks earning interest from investors. We propose a framework for assessing the impact of climate change on the cost of wind energy, going from the change in hourly wind speed distributions from radiative forcing through to energy output and levelised cost of electricity (LCOE) from wind farms. The paper outlines the proof of concept for this framework, exploring the limitations of global climate models for assessing wind resources, and a novel Weibull transfer function to characterise the climate signal. The framework is demonstrated by considering the UK's wind resources to 2100. Results are mixed: capacity factors increase in some regions and decrease in others, while the year-to-year variation generally increases. This highlights important financial and risk impacts which can be adopted into policy to enhance energy system resilience to the impacts of climate change. We call for greater emphasis to be placed on modelling wind resources in climate science. [ABSTRACT FROM AUTHOR]