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The livestock sector represents major challenges to safeguarding environmental integrity. This study comprehensively analyzes ten environmental footprints of the livestock sector from 1995 to 2022, with projections until 2030, and juxtaposes them with the planetary boundaries. We quantify greenhouse gas emissions, land use, water use, particulate matter formation, and biochemical flows associated with the livestock sector. Our findings indicate that the livestock sector alone poses a significant challenge to planetary boundaries and has the potential to threaten several of these boundaries by 2030. Scenario modeling shows that a "one-size-fits-all" strategy for all countries can be suboptimal. Conversely, a region-specific strategy that requires developed regions to align meat consumption with the Eat-Lancet diet while developing regions focus on improvement of production efficiency is optimal for reducing livestock's global environmental footprints. These findings highlight the need for targeted policy measures and regional strategies to effectively mitigate the environmental impacts of the livestock sector and ensure sustainable practices. • We comprehensively analyze up to ten environmental impacts of the livestock sector from 1995 to 2030. • The livestock sector alone is dangerously transgressing several of the planetary boundaries. • "One-size-fits-all" strategy of global diet change for all populations is suboptimal. • A region-specific strategy is optimal for reducing livestock's environmental footprints. [ABSTRACT FROM AUTHOR]

Therefore, the next few years are crucial to accelerate SDG progress and adopt a post-2030 Agenda or a follow-up of SDGs. The 2030 Agenda comprises 17 Sustainable Development Goals (SDGs) and 169 targets to be achieved by 2030, balancing the three sustainability dimensions - social, economic, and environmental. Countries are not on track to meet the 2030 Agenda for Sustainable Development [[1]] that calls for transformative changes to shift the world onto a sustainable and resilient path. [Extracted from the article]

Agriculture in India accounts for 18% of greenhouse gas (GHG) emissions and uses significant land and water. Various socioeconomic factors and food subsidies influence diets in India. Indian food systems face the challenge of sustainably nourishing the 1.3 billion population. However, existing studies focus on a few food system components, and holistic analysis is still missing. We identify Indian food systems covering six food system components: food consumption, production, processing, policy, environmental footprints, and socioeconomic factors from the latest Indian household consumer expenditure survey. We identify 10 Indian food systems using k-means cluster analysis on 15 food system indicators belonging to the six components. Based on the major source of calorie intake, we classify the ten food systems into production-based (3), subsidy-based (3), and market-based (4) food systems. Home-produced and subsidized food contribute up to 2000 kcal/consumer unit (CU)/day and 1651 kcal/CU/day, respectively, in these food systems. The calorie intake of 2158 to 3530 kcal/CU/day in the food systems reveals issues of malnutrition in India. Environmental footprints are commensurate with calorie intake in the food systems. Embodied GHG, land footprint, and water footprint estimates range from 1.30 to 2.19 kg CO2eq/CU/day, 3.89 to 6.04 m2/CU/day, and 2.02 to 3.16 m3/CU/day, respectively. Our study provides a holistic understanding of Indian food systems for targeted nutritional interventions on household malnutrition in India while also protecting planetary health. [ABSTRACT FROM AUTHOR]

Previous research has identified a predictive model of how a nation's distribution of gross domestic product (GDP) among agriculture (a), industry (i), and services (s) changes as a country develops. Here we use this national model to analyze the composition of GDP for US Metropolitan Statistical Areas (MSA) over time. To characterize the transfer of GDP shares between the sectors in the course of economic development we explore a simple system of differential equations proposed in the country-level model. Fitting the model to more than 120 MSAs we find that according to the obtained parameters MSAs can be classified into 6 groups (consecutive, high industry, re-industrializing; each of them also with reversed development direction). The consecutive transfer (a → i → s) is common but does not represent all MSAs examined. At the 95% confidence level, 40% of MSAs belong to types exhibiting an increasing share of GDP from agriculture. In California, such MSAs, which we classify as part of an agriculture renaissance, are found in the Central Valley. [ABSTRACT FROM AUTHOR]

Abstract Annual greenhouse gas emissions have increased more than threefold between 1950 and 2014, posing a major threat to the integrity of the entire earth system and subsequently to humankind. Consequently, roadmaps towards low-carbon pathways are urgently needed. Our study contributes to a more detailed understanding of the dynamics of country based emission patterns and uses them to discuss prospective low-carbon pathways for countries. As availability of databases on sectoral emissions substantially increased, we employ machine learning techniques to classify emission features and pathways. By doing so, 18 representative emission patterns are derived. Overall emissions from seven sectors and for 167 countries covering the time span from 1950 to 2014 have been used in the analyses. The following significant trends can be observed: a) increasing per capita emissions due to growing fossil fuel use in many parts of the world, b) a decline in per capita emissions in some countries, and c) a shift in the emission shares, i.e., a reduction of agricultural and land use contributions in certain regions. Using the emission patterns, their dynamics, and best performing countries as role models, we show the possibility for gaining a decent human development without significantly increasing per capita emissions. Graphical Abstract Highlights • Self-organizing map is applied to identify emission patterns between 1950 and 2014. • The 18 patterns best describe the sectoral emissions of countries for this period. • The patterns differ in total emissions and composition, displaying regional trends. • We observe a shift in the emission share from agricultural and land to fossil energy. • We show possibilities to gain a high human development index with low emissions. [ABSTRACT FROM AUTHOR]

Avoiding food loss and waste may counteract the increasing food demand and reduce greenhouse gas (GHG) emissions from the agricultural sector. This is crucial because of limited options available to increase food production. In the year 2010, food availability was 20% higher than was required on a global scale. Thus, a more sustainable food production and adjusted consumption would have positive environmental effects. This study provides a systematic approach to estimate consumer level food waste on a country scale and globally, based on food availability and requirements. The food requirement estimation considers demographic development, body weights, and physical activity levels. Surplus between food availability and requirements of a given country is considered as food waste. The global food requirement changed from 2,300 kcal/cap/day to 2,400 kcal/cap/day during the last 50 years, while food surplus grew from 310 kcal/cap/day to 510 kcal/cap/day. Similarly, GHG emissions related to the food surplus increased from 130 Mt CO2eq/yr to 530 Mt CO2eq/yr, an increase of more than 300%. Moreover, the global food surplus may increase up to 850 kcal/cap/day, while the total food requirement will increase only by 2%-20% by 2050. Consequently, GHG emissions associated with the food waste may also increase tremendously to 1.9-2.5 Gt CO2eq/yr. [ABSTRACT FROM AUTHOR]

Global food production needs to be increased by 60–110% between 2005 and 2050 to meet growing food and feed demand. Intensification and/or expansion of agriculture are the two main options available to meet the growing crop demands. Land conversion to expand cultivated land increases GHG emissions and impacts biodiversity and ecosystem services. Closing yield gaps to attain potential yields may be a viable option to increase the global crop production. Traditional methods of agricultural intensification often have negative externalities. Therefore, there is a need to explore location-specific methods of sustainable agricultural intensification. We identified regions where the achievement of potential crop calorie production on currently cultivated land will meet the present and future food demand based on scenario analyses considering population growth and changes in dietary habits. By closing yield gaps in the current irrigated and rain-fed cultivated land, about 24% and 80% more crop calories can respectively be produced compared to 2000. Most countries will reach food self-sufficiency or improve their current food self-sufficiency levels if potential crop production levels are achieved. As a novel approach, we defined specific input and agricultural management strategies required to achieve the potential production by overcoming biophysical and socioeconomic constraints causing yield gaps. The management strategies include: fertilizers, pesticides, advanced soil management, land improvement, management strategies coping with weather induced yield variability, and improving market accessibility. Finally, we estimated the required fertilizers (N, P2O5, and K2O) to attain the potential yields. Globally, N-fertilizer application needs to increase by 45–73%, P2O5-fertilizer by 22–46%, and K2O-fertilizer by 2–3 times compared to the year 2010 to attain potential crop production. The sustainability of such agricultural intensification largely depends on the way management strategies for closing yield gaps are chosen and implemented. [ABSTRACT FROM AUTHOR]

This study explores the potential for regions to shift to a local food supply using food self-sufficiency (FSS) as an indicator. We considered a region food self-sufficient when its total calorie production is enough to meet its demand. For future scenarios, we considered population growth, dietary changes, improved feed conversion efficiency, climate change, and crop yield increments. Starting at the 5' resolution, we investigated FSS from the lowest administrative levels to continents. Globally, about 1.9 billion people are self-sufficient within their 5' grid, while about 1 billion people from Asia and Africa require cross-continental agricultural trade in 2000. By closing yield gaps, these regions can achieve FSS, which also reduces international trade and increases a self-sufficient population in a 5' grid to 2.9 billion. The number of people depending on international trade will vary between 1.5 and 6 billion by 2050. Climate change may increase the need for international agricultural trade by 4% to 16%. [ABSTRACT FROM AUTHOR]

Changing food consumption patterns and associated greenhouse gas (GHG) emissions have been a matter of scientific debate for decades. The agricultural sector is one of the major GHG emitters and thus holds a large potential for climate change mitigation through optimal management and dietary changes. We assess this potential, project emissions, and investigate dietary patterns and their changes globally on a per country basis between 1961 and 2007. Sixteen representative and spatially differentiated patterns with a per capita calorie intake ranging from 1,870 to 3,400 kcal/day were derived. Detailed analyses show that low calorie diets are decreasing worldwide, while in parallel diet composition is changing as well: a discernable shift towards more balanced diets in developing countries can be observed and steps towards more meat rich diets as a typical characteristics in developed countries. Low calorie diets which are mainly observable in developing countries show a similar emission burden than moderate and high calorie diets. This can be explained by a less efficient calorie production per unit of GHG emissions in developing countries. Very high calorie diets are common in the developed world and exhibit high total per capita emissions of 3.7–6.1 kg CO2eq./day due to high carbon intensity and high intake of animal products. In case of an unbridled demographic growth and changing dietary patterns the projected emissions from agriculture will approach 20 Gt CO2eq./yr by 2050. [ABSTRACT FROM AUTHOR]

India is facing a double burden of malnourishment with co-existences of under- and over-nourishment. Various socioeconomic factors play an essential role in determining dietary choices. Agriculture is one of the major emitters of greenhouse gases (GHGs) in India, contributing 18% of total emissions. It also consumes freshwater and uses land significantly. We identify eleven Indian diets by applying k-means cluster analysis on latest data from the Indian household consumer expenditure survey. The diets vary in calorie intake [2289–3218 kcal/Consumer Unit (CU)/day] and dietary composition. Estimated embodied GHG emissions in the diets range from 1.36 to 3.62 kg CO 2 eq. /CU/day, land footprint from 4 to 5.45 m 2/CU/day, whereas water footprint varies from 2.13 to 2.97 m 3/CU/day. Indian diets deviate from a healthy reference diet either with too much or too little consumption of certain food groups. Overall, cereals, sugar, and dairy products intake are higher. In contrast, the consumption of fruits and vegetables, pulses, and nuts is lower than recommended. Our study contributes to deriving required polices for the sustainable transformation of food systems in India to eliminate malnourishment and to reduce the environmental implications of the food systems. Unlabelled Image • We identify 11 Indian diets and socioeconomic factors associated with these diets. • Diets vary from EAT-Lancet healthy reference diet for calorie intake and composition. • Fruits & vegetables, pulses & nuts consumption is low in Indian diets. • Rice and dairy products based diets have higher greenhouse gas emissions. • Reducing rice and dairy products intake may make Indian diets environment friendly. [ABSTRACT FROM AUTHOR]

Most South Asian countries have challenges in ensuring water, energy, and food (WEF) security, which are often interacting positively or negatively. To address these challenges, the nexus approach provides a framework to identify the interactions of the WEF sectors as an integrated system. However, most nexus studies only qualitatively discuss the interactions between these sectors. This study conducts a systematic analysis of the WEF security nexus in South Asia by using open data sources at the country scale. We analyze interactions between the WEF sectors statistically, defining positive and negative correlations between the WEF security indicators as synergies and trade-offs, respectively. By creating networks of the synergies and trade-offs, we further identify most positively and negatively influencing indicators in the WEF security nexus. We observe a larger share of trade-offs than synergies within the water and energy sectors and a larger share of synergies than trade-offs among the WEF sectors for South Asia. However, these observations vary across the South Asian countries. Our analysis highlights that strategies on promoting sustainable energy and discouraging fossil fuel use could have overall positive effects on the WEF security nexus in the countries. This study provides evidence for considering the WEF security nexus as an integrated system rather than just a combination of three different sectors or securities. Unlabelled Image • We quantitatively address the challenge in operating the WEF security nexus concept. • South Asia has more trade-offs than synergies within the water and energy sectors. • Among the WEF sectors, the share of synergies is larger than trade-offs. • Sustainable and clean energy have overall positive effects on the WEF security nexus. • The WEF security nexus is an integrated system, not just a combination of the sectors. [ABSTRACT FROM AUTHOR]

Based on the systematic classification framework of SDGs ("Essential Needs", "Governance", "Objectives"), this study quantifies the spatial and temporal variation of SDG interactions in China. Spatially the trade-offs among different SDG categories are mainly distributed in the eastern regions, while temporally the synergies among different SDG categories show a decreasing trend over the last decade. [Display omitted] Understanding the interactions (synergies and trade-offs) among the Sustainable Development Goals (SDGs) is crucial for enhancing policy coherence between different sectors. However, spatial differences in the SDG interactions and their temporal variations at the sub-national scale are still critical gaps that need to be urgently filled. Here, we assess the spatial and temporal variation of the SDG interactions in China based on the systematic classification framework of SDGs. The framework groups the seventeen SDGs into three categories, namely "Essential Needs", "Objectives", and "Governance". Spatially, we found that the SDGs in "Essential Needs" & "Objectives" and "Essential Needs" & "Governance" generally show trade-offs in the eastern provinces of China. Synergies among all three SDG categories are observed in some central and western China provinces, which implies that these regions conform to sustainable development patterns. In addition, temporally, the synergies of the three SDG categories have shown a weakening trend in the last decade, mainly due to the regional differences in the progress of SDG7 (Affordable and Clean Energy). Overall, our results identify the necessity for provinces to enhance the synergies between SDG12 (Responsible Production and Consumption) and other SDGs to tackle the trade-offs between the "Essential Needs" and "Objectives". Meanwhile, promoting the progress of SDG7 will also contribute to balanced development across provinces. [ABSTRACT FROM AUTHOR]

Sustainability initiatives, such as Repair Cafes, are sites of niche innovations with the potential to contribute to an urban sustainability transition. Using the multi-level perspective as a framework, we explore the visions of change of 12 Repair Cafes in Berlin to understand how the members believe the movement can effect change. We explore the dynamics and demographics of the different user groups within the Repair Cafes to understand who has a voice within them. We found that Repair Cafes have two main visions of change which ask for mass participation. However, we also found that latent discrimination by 'expert' technician volunteers discourages the involvement of women and lower social classes. This knowledge that Repair Cafes are inconsistent in their purported visions of change and their practices has repercussions for their role in urban sustainability transitions. Highlights: • Repair Cafes envision a transition where as many people as possible participate in repair activities. • The roles and hierarchy within the Repair Cafes lead to power differentials. • The roles within Repair Cafes lead to women and lower classes being discouraged from participation. • Repair Cafes are inconsistent between their visions of change and their practices. • Current Repair Café practices hurt their ability to contribute to a transition. [ABSTRACT FROM AUTHOR]

Renewable energies, such as solar and wind energy, play a critical role in achieving rapid decarbonization to limit global warming by replacing fossil energy. However, lack of knowledge on renewable energy potentials in developing countries is a barrier in making adequate policies to promote these energies. Thus, we have carried out a spatial and economic analysis of solar and wind energy potential at the provincial level for the first time in Nepal. Our analysis is built upon the spatial energy modeling based on technical, geographical, and economic suitability criteria, utilizing open-source geographical information system platforms. A significant amount of renewable energy could be harnessed in Nepal, i.e., up to about 47,628 MW and 1,686 MW from solar and wind energy, respectively. Similarly, Nepal has a co-location potential of about 890 and 267 MW of solar and wind energy. Karnali and Gandaki provinces have the highest solar and wind energy potential due to a large share of suitable locations with good resource quality. We estimate the 10th percentile of Levelized cost of electricity generation of 91 USD/MWh for solar and 46 USD/MWh for wind. Our findings are helpful for the formulation of resource-specific policies of Nepal at a sub-national level. • We estimate Nepal's solar and wind energy potentials at the province level. • We categorize Nepal's solar and wind energy development in four phases. • Nepal can harness up to 47,628 MW of solar and 1,686 MW of wind energy. • The Annapurna Conservation Area has more than 60% of Nepal's wind energy potential. • Energy policies need to go beyond small-scale systems to utilize these potentials. [ABSTRACT FROM AUTHOR]

The article focuses on the need to strengthen the implementation of the United Nations' 17 Sustainable Development Goals (SDGs) as they have not led to transformative changes in political systems and societies as expected. Topics discussed include the necessity to differentiate the goals for high-income countries, make the goals more dynamic through regular revisions, consider legally binding agreements for specific goals, and enhance institutionalization for effective governance.

The crucial link between agricultural growth and the Sustainable Development Goals (SDGs) set by the United Nations Development Programme is established through efficient use of nitrogen in the cereal production systems. Nitrogen, mostly in its reactive form as fertilizer or synthetic N, governs the food production, and reconciles the productivity with economic and environmental considerations. However, N flows in the production system involves a large N leaking to the environment resulting in abysmally low nitrogen use efficiencies and environmental adversity. Agricultural system with sub-optimal N application is characterized with low crop productivity, spiraling into the vicious cycle of poverty, malnutrition and poor economy, a case most common in the sub-Saharan Africa. These essentially relate to SDG 1 (no-poverty), 2 (zero-hunger), 3 (good health and well-being), 8 (decent work and economic growth) and 15 (life on land). Excess or imbalanced fertilizer N in most of China and parts of India led to serious environmental hazards, degradation of land and economic loss. Balancing the amount of N input in these regions will contribute in achieving the SDG 13 (climate action). Meeting some of the SDGs (5, gender equality; 6, clean water and sanitation; 10: reduced inequalities; etc.) requires optimum N application, which will also ensure "responsible consumption and production" (SDG 12). The quest for an appropriate N management needs accounting for the N surplus in a production system, and evolving strategies for increasing the nitrogen use efficiency. Much effort has been made to this effect with varying success. Cutting-edge technological options are although available on the horizon, the success lies in improved awareness among the policy makers, stakeholders and farmers, and better research to quantify the linkage between N management and the SDGs, taking collectively. [ABSTRACT FROM AUTHOR]

The nutrition transition transforms food systems globally and shapes public health and environmental change. Here we provide a global forward-looking assessment of a continued nutrition transition and its interlinked symptoms in respect to food consumption. These symptoms range from underweight and unbalanced diets to obesity, food waste and environmental pressure. We find that by 2050, 45% (39–52%) of the world population will be overweight and 16% (13–20%) obese, compared to 29% and 9% in 2010 respectively. The prevalence of underweight approximately halves but absolute numbers stagnate at 0.4–0.7 billion. Aligned, dietary composition shifts towards animal-source foods and empty calories, while the consumption of vegetables, fruits and nuts increases insufficiently. Population growth, ageing, increasing body mass and more wasteful consumption patterns are jointly pushing global food demand from 30 to 45 (43–47) Exajoules. Our comprehensive open dataset and model provides the interfaces necessary for integrated studies of global health, food systems, and environmental change. Achieving zero hunger, healthy diets, and a food demand compatible with environmental boundaries necessitates a coordinated redirection of the nutrition transition. Reducing household waste, animal-source foods, and overweight could synergistically address multiple symptoms at once, while eliminating underweight would not substantially increase food demand. [ABSTRACT FROM AUTHOR]