We must reduce greenhouse gas emissions from the global food system, if we want to have any impact on climate change.
Published on 12 June 2023
Action to protect the planet against the impact of climate change will fall short unless we reduce greenhouse gas (GHG) emissions from the global food system, which now makes up a third of man-made GHG emissions, a new study reveals.
The largest emission increase within food supply chains is triggered by beef and dairy consumption in rapidly developing countries, such as China and India, whilst emissions per head in developed countries with a high percentage of animal-based food declined.
The United Nations projects that an additional 70 percent of the current food demand will be needed to feed the world’s estimated population of 9.1 billion by 2050.
Publishing their findings in Nature Food, an international group of scientists led by the Universities of Groningen and Birmingham, say that the growth of the global population and rising demand for emission-intensive food are likely to boost emissions further.
SDG 13: Climate Action
“A global shift in diets, including reducing excessive intake of red meat and improving shares of plant-based protein – will not only reduce emissions but avoid health risks such as obesity and cardiovascular disease,” stated corresponding author, Prof. Klaus Hubacek from the University of Groningen.
Corresponding author, Dr Yuli Shan, from the University of Birmingham, commented: “The agrifood system drives global land use and agricultural activities – contributing to around one-third of global anthropogenic greenhouse gas. Population growth, expansion of food production, and an increase in animal-based diets are likely to further increase emissions and squeeze the global carbon budget.
“A global shift in diets, including reducing excessive intake of red meat and improving shares of plant-based protein – will not only reduce emissions but avoid health risks such as obesity and cardiovascular disease,” stated another corresponding author, Prof. Klaus Hubacek from the University of Groningen.
The first author, Yanxian Li, a PhD student at the University of Groningen added that “Mitigating emissions at every stage of food supply chains from production to consumption is critical if we are to limit global warming. However, widespread and lasting diet shifts are very difficult to achieve quickly, so incentives that encourage consumers to reduce red meat or buy products with higher environmental dividends could help to reduce food emissions.”
SDG 2: Zero Hunger
Researchers analysed data linking emissions to consumers between 2000 and 2019, revealing that in 2019, food consumption in the five highest emitting countries, China (2.0 Gt CO2-eq), India (1.3 Gt), Indonesia (1.1 Gt), Brazil (1.0 Gt) and the USA (1.0 Gt), was responsible for more than 40% of global food supply chain emission.
Annual global GHG emissions associated with food increased by 14% (2 Gt CO2-eq) over the 20-year period. The substantial increase in consuming animal-based products contributed to some 95% of the global emissions rise, accounting for almost half of total food emissions. Beef and dairy contributed 32% and 46% of the increase in global animal-based emissions.
Consumption of grains and oil crops is responsible for 43% (3.4 Gt CO2-eq in 2019) and 23% (1.9 Gt CO2-eq) of global plant-based emissions respectively, whilst rice contributes to over half of the global grain-related emissions (1.7 Gt CO2-eq), with Indonesia (20%), China (18%), and India (10%) being the top three contributors.
Soybean (0.6 Gt CO2-eq) and palm oil (0.9 Gt CO2-eq) have the largest shares in global emissions from oil crops with 30% and 46%, respectively. Indonesia, the world’s leading consumer of palm oil, has the largest emissions from palm oil (35% of the global total in 2019), followed by Southeast Asia (13%), Western Europe (10%), and China (9%).
Emission Patterns and Trends
- Countries with high per capita food emission levels and dominant livestock emissions (mainly from red meat) (North America, Australia, Latin America & Caribbean)
- Developed countries which heavily rely on imports and outsource substantial amounts of food-related emissions (Japan and Europe)
- Rapidly developing countries with substantial emission increase driven by rapid population growth or improved living standards (China, South Asia, Near East & North Africa)
- Countries with emission-intensive production, mainly with extensive land-use change activities (Brazil, Indonesia, and South and Central African regions)
The researchers also note that a series of trade policies are accelerating emissions through increasing food imports from countries/regions with emission-intensive production – for example, the EU’s Green Deal encourages less intensive agriculture in Europe and increasing imports of agricultural products from countries such as Brazil, USA, Indonesia, and Malaysia.
SDGs, Targets, and Indicators
1. Which SDGs are addressed or connected to the issues highlighted in the article?
- SDG 2: Zero Hunger
- SDG 3: Good Health and Well-being
- SDG 13: Climate Action
- SDG 15: Life on Land
The article discusses the need to reduce greenhouse gas emissions from the global food system, which is connected to SDG 13 (Climate Action) as it aims to address climate change. Additionally, the article mentions the importance of shifting diets to reduce health risks such as obesity and cardiovascular disease, which relates to SDG 3 (Good Health and Well-being). The issue of food consumption and its impact on emissions also connects to SDG 2 (Zero Hunger) as it highlights the need to meet the growing food demand sustainably. Finally, the article mentions the impact of food production on land use, which is relevant to SDG 15 (Life on Land).
2. What specific targets under those SDGs can be identified based on the article’s content?
- SDG 2.4: By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding, and other disasters, and that progressively improve land and soil quality.
- SDG 3.4: By 2030, reduce by one-third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being.
- SDG 13.2: Integrate climate change measures into national policies, strategies, and planning.
- SDG 15.2: By 2020, promote the implementation of sustainable management of all types of forests, halt deforestation, restore degraded forests, and substantially increase afforestation and reforestation globally.
Based on the article’s content, the targets identified are as follows:
– SDG 2.4: The article emphasizes the need for sustainable food production systems and resilient agricultural practices to reduce greenhouse gas emissions from the global food system.
– SDG 3.4: The article highlights the health risks associated with excessive red meat consumption and the need to shift diets to reduce obesity and cardiovascular disease.
– SDG 13.2: The article calls for the integration of climate change measures into national policies and strategies to address greenhouse gas emissions from the food system.
– SDG 15.2: The article mentions the impact of food production on land use and emphasizes the importance of sustainable management of forests to mitigate emissions.
3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?
- Indicator for SDG 2.4: Proportion of agricultural area under productive and sustainable agriculture.
- Indicator for SDG 3.4: Prevalence of obesity among adults.
- Indicator for SDG 13.2: Existence of national policies or strategies that integrate climate change measures.
- Indicator for SDG 15.2: Forest area as a proportion of total land area.
The article does not explicitly mention indicators, but based on the identified targets, the following indicators can be used to measure progress:
– Indicator for SDG 2.4: Monitoring the proportion of agricultural area that adopts sustainable practices and increases productivity while maintaining ecosystem integrity.
– Indicator for SDG 3.4: Tracking the prevalence of obesity among adults to assess the effectiveness of dietary shifts and reduction in health risks.
– Indicator for SDG 13.2: Assessing the existence and implementation of national policies or strategies that integrate climate change measures in the food system.
– Indicator for SDG 15.2: Monitoring the forest area as a proportion of total land area to evaluate progress in sustainable forest management and conservation.
4. Table: SDGs, Targets, and Indicators
SDGs | Targets | Indicators |
---|---|---|
SDG 2: Zero Hunger | 2.4: By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding, and other disasters, and that progressively improve land and soil quality. | Proportion of agricultural area under productive and sustainable agriculture. |
SDG 3: Good Health and Well-being | 3.4: By 2030, reduce by one-third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being. | Prevalence of obesity among adults. |
SDG 13: Climate Action | 13.2: Integrate climate change measures into national policies, strategies, and planning. | Existence of national policies or strategies that integrate climate change measures. |
SDG 15: Life on Land | 15.2: By 2020, promote the implementation of sustainable management of all types of forests, halt deforestation, restore degraded forests, and substantially increase afforestation and reforestation globally. | Forest area as a proportion of total land area. |
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Source: birmingham.ac.uk
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