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contributed to a mixture of improving and degrading regions in drylands. In some locations these regions differed substantially from those identified using the NDVI trend alone, including an increase in the area being desertified in southern Africa and northern Australia, and a decrease in southeast and western Australia and Mongolia. De Jong examined the NDVI time series for major shifts in vegetation activity and found that of drylands experienced such a shift between and . This suggests that monotonic linear trends are unsuitable for accurately capturing the changes that have occurred in the majority of the drylands. Le explicitly accounted for CO fertilisation effect and found that the extent of degraded areas in the world is larger when compared to the linear NDVI trend. While large uncertainty exists concerning trends in droughts globally Section , examining the drought data by Ziese for drylands only reveals a large inter-annual variability combined with a trend toward increasing dryland area affected by droughts since the s ure .. Thus, over the period , the annual area of drylands in drought has increased, on average, by slightly more than per year, with large inter-annual variability. Thus, the impact of an extreme weather event on markets has both a trigger component and a risk perception component Challinor . Through commodity markets, prices change across the world because almost every country depends, to a greater or lesser extent, on trade to fulfil local needs. Commodity prices can also affect local market prices by friends tv show dragon ball z characters shirt altering input prices, changing the cost of food aid, and through spill-over effects. For example, in the grain affected by extreme weather was wheat, but there was a significant price spike in rice markets . In summary, countries must determine the balance between locally produced versus imported food such that it both minimises climate risks and ensures sustainable food security. There is medium evidence that trade has positive benefits but also creates exposure to risks Section .. Effective governance of food systems and climate change requires the establishment of institutions responsible for coordinating among multiple sectors , levels and actors . Positive outcomes will be engendered by participation, learning, flexibility, and cooperation. See Supplementary Material SM. for further discussion. In , the Sustainable Development Goals and the Paris Agreement were two global major international policies adopted by all countries to guide the world to overall sustainability, within the Sustainable Development Agenda and UNFCCC processes respectively.

The Sustainable Development agenda includes goals and targets, including zero hunger, sustainable agriculture and climate action . Studying optimised beef production systems intensification technologies in a scenario of no grasslands area expansion de Oliveira Silva found marginal GHG emissions to be negligible in response to beef demand in the Brazilian Cerrado. This was because reducing productivity would lead to increased emission intensities, cancelling out the effect of reduced consumption. Healthy and sustainable diets address both health and environmental concerns Springmann b. There is high agreement that there are significant opportunities to achieve both objectives simultaneously. Contrasting results of marginal GHG emissions, that is, variations in emissions as a result of variation in one or more dietary components, are found when comparing low to high emissions in self-selected diets . Vieux found self-selected healthier diets with higher amounts of plant-based food products did not result in lower emissions, while Rose found that the lowest emission diets analysed were lower in meat but higher in oil, refined grains and added sugar. Vieux concluded that setting nutritional goals with no consideration for the environment may increase GHG emissions. In summary, consuming locally grown foods can reduce GHG emissions, if they are grown efficiently . The emissions reduction potential varies by region and season. Whether food with shorter supply chains has a lower carbon footprint depends on both the on-farm emissions intensity as well as the transport emissions. In some cases, imported food may have a lower carbon footprint because some distant agricultural regions can produce food at lower emissions intensities.

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