Abstract
Environmental changes are likely to affect agricultural production over the next 20–30 years. The interactions between environmental change, agricultural yields and crop quality, and the critical pathways to future diets and health outcomes remain largely undefined. There are currently no quantitative models to test the impact of multiple environmental changes on nutrition and health outcomes.
Using an interdisciplinary approach, we developed a framework to link the multiple interactions between environmental change, agricultural productivity and crop quality, population-level food availability, dietary intake and health outcomes, with a specific focus on fruits and vegetables. The main components of the framework consist of: i) socio-economic and societal factors, ii) environmental change stressors, iii) interventions and policies, iv) food system activities, v) food and nutrition security, and vi) health and well-being outcomes.
The framework, based on currently available evidence, provides an overview of the multidimensional and complex interactions between environmental change, diets and health, and forms the analytical baseline for future modelling and scenario testing. The framework identifies the inter-sectoral datasets and models that need to be defined and populated to assess the impacts of environmental change on agricultural production, food availability, nutrition and population health.
Keywords: Environmental change, agriculture, nutrition, population health, climate change, food-systems, fruits, vegetables
1. Introduction
Environmental changes, such as climate change, increased ground-level ozone, and changes in water availability, carbon dioxide fertilisation, soil degradation, deforestation and land use change may directly influence agricultural production, as well as having potential indirect effects through changes in the abundance and spread of pests, pathogens and pollinators. Environmental change may consequently also have a substantial impact on food quality and quantity, and therefore the nutrition and health of populations, unless adaptation and mitigation mechanisms are widely adopted ( IPCC, 2014).
The scale of the impacts of environmental change on health are not straightforward to estimate and are dependent on many factors. Firstly, the magnitude of environmental change will depend on the current level of stressors (including current environmental conditions and existing technologies), as well as the possibilities for mitigation actions taken by society. Secondly, the effects of environmental change will depend on the adaptation mechanisms developed and adopted. Thirdly, markets play a key role in distributing food between production and consumption locations. Fourthly, food prices have an influence on consumer behaviour – consumption of some foods are much more sensitive than others to price changes ( Cornelsen et al., 2015). Finally, the effect of changing food availability on nutrition and health is likely to differ between countries and population groups. Therefore, predicting the impacts of environmental changes on diets and health requires a detailed understanding of the various interactions and feedback loops between numerous variables, as well as information on environmental, social and economic contexts.
Past research has been largely two-dimensional, concentrating only on the impacts of environmental change on crops or the impacts of different diets on health, and only relatively few studies have integrated environmental change, agriculture, markets, nutrition and health ( Myers et al., 2017; Smith et al., 2015; Springmann et al., 2016). The research related to the impacts of environmental change on food production has mainly focused on the effects of climate change on staple crops ( Challinor et al., 2014; Knox et al., 2012), whereas the impacts on fruits and vegetables have been less studied. Furthermore, studies considering the impacts of multiple environmental stressors on agricultural production and crop quality are lacking, so important interactions may be missed. Addressing these evidence gaps is critical to allow researchers and policy makers to understand and respond to the influences of environmental change on nutrition and health globally.
The aim of this paper is to illustrate a set of pathways that connect environmental change, agriculture, nutrition and health in a comprehensive framework. Our framework has a specific focus on fruits and vegetables due to their importance for nutrition and health: low consumption of fruits and vegetables is associated with a significant increase in risk of non-communicable diseases (NCDs), including coronary heart disease and certain types of cancer ( Forouzanfar et al., 2016). In addition, recent research has shown reduced risk of cardiovascular disease, cancer and all-cause mortality with fruit and vegetable intakes even beyond the WHO recommendation of 400 grams a day ( Aune et al., 2017). In addition, the framework is designed to be used to consider many other pathways between environmental changes and health via agriculture and provides a basis for identification and detailed modelling of the key pathways that link environmental change – through agriculture and nutrition – with population health.
The framework was constructed based on an extensive literature search, including both peer-reviewed and grey literature. The selection of main component groups in the framework was informed by existing frameworks linking environmental change with food security (e.g. Ingram (2011); McMichael (2003)), and the framework was developed further following consultations with experts working in the fields of environment, agriculture, trade, nutrition and health.
The framework is presented in three stages: i) a schematic overview of the main components (Section 2, Figure 1); ii) illustration of the interactions between different environmental stressors ( Figure 2); and iii) the links between environmental stressors and agriculture ( Figure 3). The most important interactions between environmental change and production of fruits and vegetables are reviewed in Section 3, and the potential consequences of environmental change on food security, nutrition and health outcomes are discussed in Section 4. The feedback loops from dietary choices to agricultural production and the impacts of agriculture on environmental change are discussed in Section 5.
2. Overall framework
Within the overall framework ( Figure 1, we refer to the boxes and the arrows in the figure with the symbols ■ and ▲, respectively, followed by a corresponding letter or number) six main components are distinguished to map the interactions between environmental change, agriculture, and nutrition: i) socio-economic and societal factors (■ A); ii) environmental changes (■ B); iii) interventions and policies (■ C); iv) food system activities (■ D); v) food and nutrition security (■ E); and vi) nutritional health and well-being (■ F) ( Figure 1). The socio-economic factors, such as culture, religion, wealth distribution and population structure provide the context for environmental change, interventions and policies, food system activities, level of food and nutrition security and nutrition related health and well-being. The environmental changes include stressors that directly affect food systems (▲1, Section 3). The interventions component includes research, technological development and government policies that provide the boundaries, opportunities and restrictions to the interactions between environmental changes, food system activities, food and nutrition security, health and well-being (▲2, 3, 12). The food system activities component covers the interlinked food system functions, including production of inputs and infrastructure, agricultural processes, food processing, trade, consumption and waste management (▲4–11). In the framework, food and nutrition security are identified as a fifth component group, which are important determinants of the burden of disease and well-being. The framework presents a static conceptualisation of the interactions, although we recognise that the interactions operate over different time scales, for example, the change in food prices can have an immediate impact on food consumption, whereas the impacts of some environmental changes on health outcomes may be seen only after a few decades.
3. Impacts of environmental change on agricultural production
3.1. Climate change
Climate change has been predicted to impact agricultural production through multiple direct and indirect pathways. Changes in temperature and water availability combined with increased variation in weather conditions and more frequent episodic weather events will have a direct impact on crop yields ( Lobell & Gourdji, 2012). Climate change is also likely to increase crop losses and damages due to pests, pathogens, fungi and weeds ( Flood, 2010). However, there are also positive impacts reported: increased carbon dioxide concentrations in the atmosphere can boost photosynthesis and water use efficiency, and improve crop growth ( Long et al., 2006). However, this can lead to a yield dilution effect, whereby concentrations of micronutrients in the edible product decline ( Myers et al., 2014; Myers et al., 2015).
Indirectly, increased temperatures may affect the labour productivity of farmers, affecting agricultural productivity ( Kjellstrom et al., 2016). Many fruit and vegetable crops require high labour inputs, especially for planting and harvesting.
Climate change affects many other environmental drivers, both directly and indirectly ( Figure 2). For example, rising temperatures increase tropospheric (i.e. ground-level) ozone formation, and increased ozone levels cause oxidative stress for plants, which reduces photosynthesis and plant growth ( Ainsworth et al., 2012). Furthermore, climate change has impacts on animal species and a decrease of plant pollinator populations, for example, it could have multiple impacts on agricultural production (see Section 3.6).
3.2. Stratospheric ozone depletion
The stratospheric ozone layer, protecting the Earth from solar ultraviolet (UV) radiation, has been depleting over the past decades due to anthropogenic emissions of chlorofluorocarbon and nitrous oxides. The depletion of the stratospheric ozone layer by 1% increases the UV-B radiation that reaches the planet by 2% ( Cutchis, 1974). UV-B radiation has been found to damage DNA, RNA, proteins and membranes of plants and to impair photosynthesis ( Björn et al., 1999; Caldwell et al., 2007). Many factors such as cloud cover, altitude, ground reflectance and atmospheric path length, impact on the level of UV-B reaching plants.
It has been estimated that the springtime UV doses will increase 14% in the Northern hemisphere and 40% in the Southern hemisphere in 2010–2020 compared to levels in 1979–1992 ( Taalas et al., 2000). A meta-analysis found that 18–100% increases in UV-B radiation compared to the ambient level reduced the biomass accumulation in woody and herbaceous plants by 7–14.6% ( Li et al., 2010). Herbaceous plants including most vegetables (e.g. beans, tomatoes, spinach, radish, carrots, cucumber and gourd) and many fruits (such as strawberries and sea-buckthorn) were found to be more affected than woody plants.
3.3. Water quality
The quality of irrigation water has a direct impact on crop quality and quantity. In the past decades, several trends in water quality – with a strong link to environmental change – have put increasing pressure on the agricultural sector, and it is expected that these trends will continue in the future ( Turral et al., 2011).
A major threat to irrigation water quality is salinization. Salt tolerance levels vary greatly from crop to crop. Predominantly, salinization decreases yields, but the impact on crop quality is mixed ( Hoffman et al., 1989). Many vegetable crops are negatively affected and salinity can substantially reduce their market value. However, in some crops, such as carrots and asparagus, salinity can increase sugar content, whilst in tomato and melon it can increase soluble solids. Generally, however, salinity-induced decreases in yield outweigh any beneficial effects ( Hoffman, 2010).
Climate change may exacerbate salinity problems. In several low-lying coastal areas, the increased frequency of tropical cyclones and inundations can have a serious impact on the sodium (and other salts) content of soils as well as ground- and surface-water. In climate-vulnerable coastal areas, such as Bangladesh, an additional problem arises when farmers move away from saline irrigation sources and obtain water from deeper groundwater layers; high arsenic concentrations have been measured in these groundwater sources. Arsenic can remain on the crop’s surface after harvesting and could form a serious health threat to its consumers ( Das et al., 2004; Su et al., 2014). Further inland, changing precipitation patterns and drought can cause significant increase in sodium concentrations in freshwater bodies, affecting irrigation and drinking water quality ( Jeppesen et al., 2015).
Toxicity of irrigation water is another major water quality problem that could affect crop quantity and quality. Problems occur if high concentrations of certain toxic ions in irrigation water - such as chloride, sodium and boron - are taken up by the plant and accumulate to concentrations that can cause damage in the crop and reduce yields ( Bañón et al., 2011). Both agricultural and industrial factors play an important role in toxin concentrations in water, including chemical wastewater being released in watersheds used for agriculture and/or pumping up irrigation water, as well as farm-disposal of agrochemicals. Most irrigation water sources contain concentrations of elements below toxicity thresholds; however boron tolerance of most vegetable crops is relatively low and even quite low boron concentrations could damage crops ( Hoffman, 2010). The magnitude of damage varies per crop; permanent perennial-type crops are believed to be most sensitive to irrigation water toxicity ( WHO, 2006).
A third important water quality threat is the occurrence of excessive nutrients in irrigation water, notably nitrogen. This is often the result of (over)fertilization of agricultural land, whereby excess fertilisers end up in water sources used for irrigation and may damage marine ecosystems. In sensitive crops - such as apricot, citrus and avocado - high nitrogen concentrations trigger excessive vegetative growth and delay of maturing. In leafy vegetables, this causes a decrease in harvestable product and could negatively affect fruit quality parameters, such as sugar content ( Ayers & Westcot, 1985). It could also cause crops to grow taller and hence to be more vulnerable to lodging (bending over of stems) in extreme weather events, such as tropical storms.
3.4. Non-renewable resource depletion
Non-renewable resource depletion includes reduced availability of minerals used for fossil fuels, fertilisers or infrastructure, and depletion of aquifers that can be used for irrigation water. The reduced availability of these resources can have an impact on crop production, unless alternative technologies are adopted (e.g. use of renewable energy sources or organic fertilisers).
For example, it has been estimated that the current economically exploitable phosphate reserves will be depleted in approximately 50–100 years ( Cordell et al., 2009). Therefore, options to recycle nutrients back to the fields from bio-waste and sewage sludge may become more financially attractive. Similarly, industrial agriculture relies heavily on the use of fossil fuels for producing nitrogen fertilisers, running farm machinery and other uses. The depletion of fossil fuel reserves may pose a threat for agricultural production unless renewable energy sources can be significantly scaled up. Finally, the depletion of aquifers can have negative impacts on agricultural production in areas where aquifers provide an important source of irrigation water. This may reduce agricultural production or require switching to less water demanding crops ( Harris et al., 2017).
3.5. Land use
Agricultural land is a limited natural resource. It is estimated that nearly a third of global arable land has been lost due to soil erosion and pollution during the past 40 years ( Cameron et al., 2015). Other reasons for loss of agricultural land include urbanisation, sea level rise, and renewable energy production (e.g. solar panels on agricultural land), as well as land requirements for bio-fuels and other non-food crops.
Soil degradation typically refers to multiple processes, such as erosion, desertification, salinization, compaction and encroachment of invasive species ( Gibbs & Salmon, 2015). Soil organic matter plays an important role in maintaining the long-term productivity of soils. The increased use of industrial farming practices, such as mono-cropping, minimal use of organic fertilisers and removal of crop residues from fields, is one of the main reasons for decline in soil organic matter contents.
Acidification of soils is caused by acid rains or use of synthetic nitrogen fertilisers in some conditions. Acid rains generally result from the reaction of water molecules and sulphur dioxide or nitrogen oxide in the atmosphere. Soil acidification could alter nutrient availability, and therefore, plant growth: the effects on plants are generally negative, however acidification could be beneficial in alkaline soils ( Lee et al., 1981). Application of lime and balanced fertilisers help to mitigate crop losses caused by acidification ( Mason et al., 1994).
Phytotoxicity means the toxic effect on plants caused by compounds such as trace metals, allelochemicals, pesticides, phytotoxins or salinity. Contamination of soil with toxic metals, such as cadmium and high concentrations of aluminium, has negative impacts both on crop yields and human health ( Khan et al., 2015). Metals cause oxidative stress for plants, which reduces biomass accumulation.
3.6. Biodiversity loss
Field-grown crops and livestock are heavily dependent on multiple ecosystem services, such as pollination, natural predation of pests and services provided by soil macro- and micro-organisms.
During the past decade, the numbers of pollinators have declined, due to combined stress from parasites, pesticides and habitat loss ( Goulson et al., 2015). A complete loss of pollinators has been predicted to reduce global fruit supply by 23%, vegetables by 16% and nuts and seeds by 22% ( Smith et al., 2015). Due to the importance of fruits and vegetables in a healthy diet, their reduced availability resulting from pollinator loss would likely have serious implications for human health.
In some cases, losses of biodiversity can have direct impacts on food availability in areas where wild food, such as wild plants, game meat and insects, compose a substantial proportion of diets.
Ecosystem functions are complex and it is currently not possible to model the required level of biodiversity needed for sustaining agricultural production. Therefore, maintaining a high level of biodiversity is regarded as a precautionary mechanism that increases the resilience of agro-ecosystems to environmental changes ( Koohafkan et al., 2012; Lin, 2011). Farming practices that reduce vulnerability to environmental change include diversification of agro-ecosystems, high genetic diversity of crops, integration of livestock and crop production, management of soil organic matter and water conservation. Crop diversification reduces pest, disease and weed outbreaks, and increases resilience towards greater climate variability and extreme events. In low income settings, farms with a high level of biodiversity have been found to be more resilient to climate disasters, such as hurricanes and droughts ( Altieri et al., 2015). Smallholder farmers in tropical regions are particularly vulnerable to climate variability, including erratic rainfall, and as a coping mechanism they rely on agricultural biodiversity, such as planting a high diversity of crops each year, including many varieties of the same crop, using drought tolerant crop varieties, changing the locations of crops and planting trees to provide shade and to maintain humidity ( Meldrum et al., 2013).
4. Impact of drivers, influencers and activities on intermediate and final outcomes
4.1. Links between agriculture and food security: From subsistence farming to international trade
The most direct link between agriculture and food security occurs in subsistence farming communities and involves the production and quality of crops and their impact on the availability of nutritious food to producing households.
Considering the predominantly negative influences of environmental stressors on both fruit and vegetable yield and quality (see previous sections), populations relying on subsistence farming appear likely to have food insecurity in the future ( Morton, 2007; Shrestha & Nepal, 2016; Tibesigwa et al., 2015). The extent of the influence on their nutrition and health depends on the farmers’ ability to adapt to these environmental changes ( Shisanya & Mafongoya, 2016; Tibesigwa et al., 2015). This large group is often particularly vulnerable due to its high dependence on rain-fed agriculture and limited adaptation strategies: rain-fed agriculture accounts for approximately 95% of farmed land in sub-Saharan Africa and 90% in Latin America ( Wani et al., 2009). Moreover, in context where agricultural surpluses are sold at the local market as critical sources of cash, reduced yields will likely decrease household incomes.
In larger and more complex trade systems – ranging from farmers producing for the local markets to agribusinesses and international trade – a more complex interplay of mechanisms determines the impact of suboptimal yields on food security, including market mechanisms and food choices (■ D), possible technological or political interventions (■ C) and the influence of social factors (■ A).
Compromised production – and therewith reduced availability – of a locally important vegetable could, for example, push up local or regional prices, and make the specific vegetable unaffordable for the less affluent ( Brown et al., 2012). Households’ purchasing power and preference will determine their substitution strategy, e.g. buying another cheaper vegetable if available, buying more staples, or no substitution for the “missing” vegetable, etc. Their substitution strategy will partly determine the impact on their and their family’s nutritional health ( UNSCS, 2010). However, forced switches to alternative crops could also have far reaching consequences for farmers, in case the switches become permanent (i.e. consumers start preferring the “new” vegetable above the “conventional” one), as sometimes experienced after temporary food aid programmes (Barrett, 2006). Especially small farmers that might lack the financial resources to shift to another (more commercial) crop as a response to the changed commodity prices, even if this would be much more profitable ( García-Germán et al., 2013). Higher prices may push subsistence farmers to sell more and encourage less consumption, which could also have an impact on their food security ( Anríquez et al., 2013; Zezza et al., 2008). Nonetheless, it has been argued that higher food prices will generally affect food security of net consumer countries more than net producer countries ( ODI, 2008), and nutritional health, especially among children under 5 years of age (▲13, 14). In larger markets with more producers integrated across diverse environments, the abundance of competitors offering the same vegetable crop may stabilise the commodity prices, and may therefore directly affect the farmers that experienced compromised yields of that specific vegetable.
Crop quality, including nutritional content, may affect dietary micronutrient supplies of consumers and subsistence farmers. Especially in areas where nutritional needs are only marginally met or where there is a widespread marginal nutrient deficiency, small changes in vitamin and mineral concentration in crops – but no actual change in diet – could be crucial for food and nutrition security. Fruits and vegetables are therefore particularly important as they provide essential micronutrients that are present in much lower concentrations in other food groups.
4.2. Links between food security, consumption, health and well-being
There is a large evidence base on the impact of food security on population diets. Furthermore, the links between diets, health and well-being are the most well-researched parts of the framework (▲14). Non-optimal diets are estimated to account for ~10% of the global burden of disease ( Forouzanfar et al., 2016).
There are two main pathways leading from nutrition to population health: non-optimal quantity of food intake (under- and over-nutrition) and non-optimal quality of food intake (nutrient deficiencies, toxins, etc.). Overweight and obesity increases the risk of various NCDs, including diabetes, certain cancers and cardiovascular disease, whilst undernutrition can lead to several deficiencies, affecting, for example, child growth and development and immune system function (■ F).
Fruits and vegetables play a key role in the link between nutrition and health. For many populations around the world, fruits and vegetables provide several essential vitamins, minerals and amino acids usually found in limited amounts in other components of the diet, particularly where consumption of animal-source foods is low. Low fruit and vegetable intake is associated with increased risk of mortality, coronary heart disease, strokes, and several types of cancer ( Forouzanfar et al., 2016).
To further explore the importance of the pathway between fruit and vegetable consumption and health, full dietary compositions (i.e. consumption besides fruits and vegetables) should be taken into account, as well as the drivers for food choices. Low fruit and vegetable intake can in some situations be the direct results of food insecurity, whilst in other situations it reflects the population’s preferences to consume foods high in sugar, salt and saturated fats instead of fruits and vegetables.
Where clinical health outcomes are difficult to measure, anthropometric indicators, such as height-for-age, weight-for-height and biomarkers, including cholesterol level, blood pressure and blood glucose, can be used for modelling the health implications of a diet.
5. Feedback loops from dietary choices and agriculture to environmental change
The framework highlights that – besides the described “environment – food system – health” pathway – there are several feedback loops linking dietary choices and nutrition back to agricultural strategies (▲15) and environmental change (▲1).
A remarkable example of these feedback loops is based on the consumer-driven rapid global shift towards a more “Western” diet ( Popkin, 2006). Western diets are characterised by greater consumption of animal source and highly processed foods often in parallel with a reduction of the consumption of vegetables and pulses. To meet the growing demand in animal source products, livestock and dairy farming has increased enormously ( FAO, 2015), contributing directly to increased greenhouse gas emissions, eutrophication (the enrichment of an ecosystem with nutrients), and loss of biodiversity through expansion of agricultural land ( Gerber et al., 2013).
Agricultural land, including arable and grassland, occupied 38.5% of the ice-free land area globally in 2011 ( FAO, 2017). Global deforestation is mainly driven by an increased need for agricultural land, especially for feed production. Fruit and vegetable production occupies only a small percentage of the total agricultural land area.
Agriculture is also one of the main contributors to climate change, accounting for ~25% of global anthropogenic emissions ( Vermeulen et al., 2012), while livestock production alone has been estimated to account for 14.5% of global greenhouse gas emissions ( Gerber et al., 2013). It has been estimated that the consumption of fruits and vegetables accounts for ~2.5% of the UK’s total emissions ( Garnett, 2006). Generally, fruits and vegetables have a lower carbon footprint compared to livestock products and grains when measured per unit of product weight, but this is not necessarily the case when measured per unit of energy content, especially if the fruits and vegetables are processed ( Drewnowski et al., 2015).
Agriculture is estimated to account for ~70% of global water withdrawals ( Mekonnen & Hoekstra, 2010). The water footprint of fruits and vegetables is relatively low compared to cereals and oil crops when measured per unit of product, but higher when measured per unit of energy. However, the variation between different fruits is high - ranging from 235 m 3/t for watermelon to 3350 m 3/t for figs ( Mekonnen & Hoekstra, 2010).
Particularly in developed countries, agriculture is the main contributor to eutrophication of waterways, due to nitrogen and phosphorus leached from fields ( Withers et al., 2014). Eutrophication disturbs the natural balance of the ecosystem by favouring certain species and causing harm to others, e.g. in aquatic ecosystems the nutrient inputs increase the growth of algae and plants, and the decay of the biomass leads to oxygen depletion, causing death of fish and other aquatic animals. The eutrophication potential of fruit and vegetable production is generally higher than that of cereals ( Xue & Landis, 2010), due to the relatively high nutrient inputs required for production of fruits and vegetables.
Agricultural emissions, such as ammonia, toxic organic compounds, pesticides and particulates, have an impact on air quality, which has direct implications for human health. Agriculture accounts for ~30% of all acidifying emissions and 90% of ammonia emissions in Western Europe ( Erisman et al., 2008). Ammonia emissions are mainly produced from manure management and use of nitrogen fertilisers. The contribution of agriculture to particulate matter emissions in Europe has been estimated to be ~20% ( Erisman et al., 2008). Particulate matter emissions from agriculture originate from field operations such as ploughing, tillage and harvesting, and from livestock bedding materials and manure.
Industrialisation of agriculture has also contributed to the losses in biodiversity due to simplification of agroecosystems, reduced number of crops and crop varieties grown, use of chemical fertilisers and pesticides, intensification of agriculture, increase in field size and clearance of natural forests for agricultural land. The increased demand for agricultural products is causing a pressure for converting forests to agricultural land, especially in tropical regions ( Laurance et al., 2014). Extensive farming systems, such as organic farming systems, generally have higher on-farm biodiversity compared to intensive farming ( Tuomisto et al., 2012). However, many studies have questioned whether land sparing, i.e. using intensive farming systems and leaving land out from agriculture for biodiversity conservation would lead to higher total biodiversity benefits compared to land sharing. Tscharntke et al. (2012) points out that there is a clear difference between the type of biodiversity that land sparing and land sharing approaches support. The land sparing idea mostly ignores the value of functional agrobiodiversity that helps to increase the resilience of the farming systems to environmental changes. Furthermore, it is not guaranteed that land sparing leads to additional conservation of natural habitats.
6. Conclusions
The evidence-based framework provides an overview of the multidimensional and complex interactions between environmental change, the food system, nutrition and health, and forms an analytical baseline for detailed investigation of these interactions. The framework has a focus on fruits and vegetables and takes a global view, but can be used more generically for all food groups as well as for regional case studies. Some potential applications of the framework include:
Guiding our understanding of the complex interactions of environmental, social, political, agricultural, market-related food security, diet and health mechanisms within food systems. It could be used for teaching and training sessions, research priority settings, as well as advocacy purposes.
Identifying research gaps, determining research directions and guiding proposal writing. Likewise, the information can be used by funders to specify calls for proposals.
Use as a heuristic tool for future food system and multi-sectoral modelling. This will enable further quantification of the impacts of environmental change – through agriculture and food security – on population health, as well as the assessment of the effectiveness of adaptation mechanisms at different parts of the system. By using an open-source platform, further detail could be added to the framework – and shared with the research community – when more evidence will become available.
For food system programmes and policy makers, the framework gives an overview of where in the food system there are barriers and opportunities for change. With the available evidence, it would be possible to identify crucial links and mechanisms, which can guide health and sustainability programmes, as well as food system policy formulation.
Although the framework was written for environment, food system and health interactions, similar frameworks could potentially be constructed in other sectors. The important role and interactions that societal factors, policies and research play within the “core” system mechanisms, is something commonly observed in other sectors (e.g. urban planning). The framework provides an example of how these complex interactions can be captured.
Acknowledgements
We would like to thank Majid Ezzati and Samuel S. Myers for their intellectual contribution to the development of the framework presented in this paper, Edward Joy for comments on the draft manuscript and Agnes Becker for the graphical design of the figures.
Funding Statement
The work was supported by the Wellcome Trust ‘Our Planet, Our Health’ programme [106924].
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
[version 1; referees: 2 approved with reservations]
References
- Ainsworth EA, Yendrek CR, Sitch S, et al. : The effects of tropospheric ozone on net primary productivity and implications for climate change. Annu Rev Plant Biol. 2012;63:637–661. 10.1146/annurev-arplant-042110-103829 [DOI] [PubMed] [Google Scholar]
- Altieri MA, Nicholls CI, Henao A, et al. : Agroecology and the design of climate change-resilient farming systems. Agron Sustain Dev. 2015;35(3):869–890. 10.1007/s13593-015-0285-2 [DOI] [Google Scholar]
- Anríquez G, Daidone S, Mane E: Rising food prices and undernourishment: A cross-country inquiry. Food Policy. 2013;38:190–202. 10.1016/j.foodpol.2012.02.010 [DOI] [Google Scholar]
- Aune D, Giovannucci E, Boffetta P, et al. : Fruit and vegetable intake and the risk of cardiovascular disease, total cancer and all-cause mortality–a systematic review and dose-response meta-analysis of prospective studies. Int J Epidemiol. 2017. 10.1093/ije/dyw319 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ayers R, Westcot D: Water quality for agriculture.FAO Irrigation and drainage paper 29 Rev. 1. Food and Agricultural Organization. Rome.1985. Reference Source [Google Scholar]
- Bañón S, Miralles J, Ochoa J, et al. : Effects of diluted and undiluted treated wastewater on the growth, physiological aspects and visual quality of potted lantana and polygala plants. Sci Hortic (Amsterdam). 2011;129(4):869–876. 10.1016/j.scienta.2011.05.027 [DOI] [Google Scholar]
- Björn LO, Callaghan TV, Gehrke C, et al. : Ozone depletion, ultraviolet radiation and plant life. Chemosphere. 1999;1(4):449–454. 10.1016/S1465-9972(99)00038-0 [DOI] [Google Scholar]
- Brown M, Tondel F, Essam T, et al. : Country and regional staple food price indices for improved identification of food insecurity. Global Environ Change. 2012;22(3):784–794. 10.1016/j.gloenvcha.2012.03.005 [DOI] [Google Scholar]
- Caldwell MM, Bornman JF, Ballaré CL, et al. : Terrestrial ecosystems, increased solar ultraviolet radiation, and interactions with other climate change factors. Photochem Photobiol Sci. 2007;6(3):252–266. 10.1039/b700019g [DOI] [PubMed] [Google Scholar]
- Cameron D, Osborne C, Horton P, et al. : A sustainable model for intensive agriculture.Grantham Centre briefing note, The University of Sheffield.2015;4 Reference Source [Google Scholar]
- Challinor AJ, Watson J, Lobell DB, et al. : A meta-analysis of crop yield under climate change and adaptation. Nat Clim Chang. 2014;4:287–291. 10.1038/nclimate2153 [DOI] [Google Scholar]
- Cordell D, Drangert JO, White S: The story of phosphorus: global food security and food for thought. Glob Environ Change. 2009;19(2):292–305. 10.1016/j.gloenvcha.2008.10.009 [DOI] [Google Scholar]
- Cornelsen L, Green R, Turner R, et al. : What Happens to Patterns of Food Consumption when Food Prices Change? Evidence from A Systematic Review and Meta-Analysis of Food Price Elasticities Globally. Health Econ. 2015;24(12):1548–1559. 10.1002/hec.3107 [DOI] [PubMed] [Google Scholar]
- Cutchis P: Stratospheric ozone depletion and solar ultraviolet radiation on Earth. Science. 1974;184(4132):13–19. 10.1126/science.184.4132.13 [DOI] [PubMed] [Google Scholar]
- Das H, Mitra AK, Sengupta PK, et al. : Arsenic concentrations in rice, vegetables, and fish in Bangladesh: a preliminary study. Environ Int. 2004;30(3):383–387. 10.1016/j.envint.2003.09.005 [DOI] [PubMed] [Google Scholar]
- Drewnowski A, Rehm CD, Martin A, et al. : Energy and nutrient density of foods in relation to their carbon footprint. Am J Clin Nutr. 2015;101(1):184–191. 10.3945/ajcn.114.092486 [DOI] [PubMed] [Google Scholar]
- Erisman JW, Bleeker A, Hensen A, et al. : Agricultural air quality in Europe and the future perspectives. Atmos Environ. 2008;42(14):3209–3217. 10.1016/j.atmosenv.2007.04.004 [DOI] [Google Scholar]
- FAO: The State of Food and Agriculture 2015 (SOFA): Social Protection and Agriculture: Breaking the Cycle of Rural Poverty.Rome,2015. Reference Source [Google Scholar]
- FAO: FAOSTAT. 2017. Reference Source [Google Scholar]
- Flood J: The importance of plant health to food security. Food Secur. 2010;2(3):215–231. 10.1007/s12571-010-0072-5 [DOI] [Google Scholar]
- GBD 2015 Risk Factors Collaborators: Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1659–1724. 10.1016/S0140-6736(16)31679-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- García-Germán S, Morales-Opazo C, Garrido A, et al. : Literature review of impacts on consumers in developed and developing countries.Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM). Working Paper No. 2 ULYSSES “Understanding and coping with food markets voLatilitY towards more Stable World and EU food SystEmS”2013. Reference Source [Google Scholar]
- Garnett T: Fruit and vegetables & UK greenhouse gas emissions: exploring the relationship, Working paper produced as part of the work of the food climate research network.University of Surrey,2006. Reference Source [Google Scholar]
- Gerber PJ, Steinfeld H, Henderson B, et al. : Tackling climate change through livestock: a global assessment of emissions and mitigation opportunities.Food and Agriculture Organization of the United Nations (FAO).2013. Reference Source [Google Scholar]
- Gibbs HK, Salmon JM: Mapping the world's degraded lands. Appl Geogr. 2015;57:12–21. 10.1016/j.apgeog.2014.11.024 [DOI] [Google Scholar]
- Goulson D, Nicholls E, Botías C, et al. : Bee declines driven by combined stress from parasites, pesticides, and lack of flowers. Science. 2015;347(6229):1255957. 10.1126/science.1255957 [DOI] [PubMed] [Google Scholar]
- Harris F, Green RF, Joy EJ, et al. : The water use of Indian diets and socio-demographic factors related to dietary blue water footprint. Sci Total Environ. 2017;587–588:128–136. 10.1016/j.scitotenv.2017.02.085 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoffman GJ: Salt Tolerance of Crops in the Southern Sacramento-San Joaquin Delta.Final Report. For California Environmental Protection Agency State Water Resources Control Board, Division of Water Rights.2010. Reference Source [Google Scholar]
- Hoffman GJ, Catlin PB, Mead RM, et al. : Yield and foliar injury responses of mature plum trees to salinity. Irrigation Sci. 1989;10(3):215–229. 10.1007/BF00257954 [DOI] [Google Scholar]
- Ingram J: A food systems approach to researching food security and its interactions with global environmental change. Food Secur. 2011;3(4):417–431. 10.1007/s12571-011-0149-9 [DOI] [Google Scholar]
- IPCC: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.In: Field CB, VR Barros, DJ Dokken, et al.(Eds.), Cambridge, UK and New York, NY, USA.2014. Reference Source [Google Scholar]
- Jeppesen E, Brucet S, Naselli-Flores L, et al. : Ecological impacts of global warming and water abstraction on lakes and reservoirs due to changes in water level and related changes in salinity. Hydrobiologia. 2015;750(1):201–227. 10.1007/s10750-014-2169-x [DOI] [Google Scholar]
- Khan A, Khan S, Khan MA, et al. : The uptake and bioaccumulation of heavy metals by food plants, their effects on plants nutrients, and associated health risk: a review. Environ Sci Pollut Res. 2015;22(18):13772–13799. 10.1007/s11356-015-4881-0 [DOI] [PubMed] [Google Scholar]
- Kjellstrom T, Briggs D, Freyberg C, et al. : Heat, Human Performance, and Occupational Health: A Key Issue for the Assessment of Global Climate Change Impacts. Annu Rev Public Health. 2016;37:97–112. 10.1146/annurev-publhealth-032315-021740 [DOI] [PubMed] [Google Scholar]
- Knox J, Hess T, Daccache A, et al. : Climate change impacts on crop productivity in Africa and South Asia. Environ Res Lett. 2012;7(2012):034032 10.1088/1748-9326/7/3/034032 [DOI] [Google Scholar]
- Koohafkan P, Altieri MA, Gimenez EH: Green agriculture: foundations for biodiverse, resilient and productive agricultural systems. Int J Agr Sustain. 2012;10(1):61–75. 10.1080/14735903.2011.610206 [DOI] [Google Scholar]
- Laurance WF, Sayer J, Cassman KG: Agricultural expansion and its impacts on tropical nature. Trends Ecol Evol. 2014;29(2):107–116. 10.1016/j.tree.2013.12.001 [DOI] [PubMed] [Google Scholar]
- Lee JJ, Neely GE, Perrigan SC, et al. : Effect of simulated sulfuric acid rain on yield, growth and foliar injury of several crops. Environ Exp Bot. 1981;21(2):171–185. 10.1016/0098-8472(81)90024-1 [DOI] [Google Scholar]
- Li FR, Peng SL, Chen BM, et al. : A meta-analysis of the responses of woody and herbaceous plants to elevated ultraviolet-B radiation. Acta Oecol. 2010;36(1):1–9. 10.1016/j.actao.2009.09.002 [DOI] [Google Scholar]
- Lin BB: Resilience in agriculture through crop diversification: adaptive management for environmental change. Bioscience. 2011;61(3):183–193. 10.1525/bio.2011.61.3.4 [DOI] [Google Scholar]
- Lobell DB, Gourdji SM: The influence of climate change on global crop productivity. Plant Physiol. 2012;160(4):1686–1697. 10.1104/pp.112.208298 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Long SP, Ainsworth EA, Leakey AD, et al. : Food for thought: lower-than-expected crop yield stimulation with rising CO 2 concentrations. Science. 2006;312(5782):1918–1921. 10.1126/science.1114722 [DOI] [PubMed] [Google Scholar]
- Mason M, Porter W, Cox W: Effect of an acidifying nitrogen fertiliser and lime on soil pH and wheat yields. 2. Plant response. Anim Prod Sci. 1994;34(2):247–253. 10.1071/EA9940247 [DOI] [Google Scholar]
- McMichael AJ: Global climate change and health: an old story writ large. In: McMichael, A.J., Campbell-Lendrum, D.H., Corvalán, C.F., Ebi, K.L., et al.(eds.) Climate Change and Human Health - Risks and Responses, Geneva: WHO.2003;1–17. Reference Source [Google Scholar]
- Mekonnen MM, Hoekstra AY: The green, blue and grey water footprint of crops and derived crop products. Value of Water Research Report Series No. 47.UNESCO-IHE, Delft, the Netherlands.2010. Reference Source [Google Scholar]
- Meldrum G, Sthapit S, Rojas W, et al. : Agricultural biodiversity enhances capacity to adapt to climate change. New Agriculturist. 2013;13 Reference Source [Google Scholar]
- Morton JF: The impact of climate change on smallholder and subsistence agriculture. Proc Natl Acad Sci U S A. 2007;104(50):19680–19685. 10.1073/pnas.0701855104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Myers SS, Smith MR, Guth S, et al. : Climate Change and Global Food Systems: Potential Impacts on Food Security and Undernutrition. Annu Rev Public Health. 2017;38. 10.1146/annurev-publhealth-031816-044356 [DOI] [PubMed] [Google Scholar]
- Myers SS, Wessells KR, Kloog I, et al. : Effect of increased concentrations of atmospheric carbon dioxide on the global threat of zinc deficiency: a modelling study. Lancet Glob Health. 2015;3(10):e639–e645. 10.1016/S2214-109X(15)00093-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Myers SS, Zanobetti A, Kloog I, et al. : Increasing CO 2 threatens human nutrition. Nature. 2014;510(7503):139–42. 10.1038/nature13179 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2000 ODI: Rising food prices: A global crisis. Briefing paper 37. Reference Source [Google Scholar]
- Popkin BM: Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr. 2006;84(2):289–298. [DOI] [PubMed] [Google Scholar]
- Shisanya S, Mafongoya P: Adaptation to climate change and the impacts on household food security among rural farmers in uMzinyathi District of Kwazulu-Natal, South Africa. Food Security. 2016;8(3):597–608. 10.1007/s12571-016-0569-7 [DOI] [Google Scholar]
- Shrestha RP, Nepal N: An assessment by subsistence farmers of the risks to food security attributable to climate change in Makwanpur, Nepal. Food Security. 2016;8(2):415–425. 10.1007/s12571-016-0554-1 [DOI] [Google Scholar]
- Smith MR, Singh GM, Mozaffarian D, et al. : Effects of decreases of animal pollinators on human nutrition and global health: a modelling analysis. Lancet. 2015;386(10007):1964–1972. 10.1016/S0140-6736(15)61085-6 [DOI] [PubMed] [Google Scholar]
- Springmann M, Mason-D'Croz D, Robinson S, et al. : Global and regional health effects of future food production under climate change: a modelling study. Lancet. 2016;387(10031):1937–1946. 10.1016/S0140-6736(15)01156-3 [DOI] [PubMed] [Google Scholar]
- Su SW, Tsui CC, Lai HY, et al. : Food safety and bioavailability evaluations of four vegetables grown in the highly arsenic-contaminated soils on the Guandu Plain of northern Taiwan. Int J Environ Res Public Health. 2014;11(4):4091–4107. 10.3390/ijerph110404091 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Taalas P, Amanatidis GT, Heikkilä A: European Conference on Atmospheric UV Radiation: Overview. J Geophys Res Atmos. 2000;105(D4):4777–4785. 10.1029/1999JD901181 [DOI] [Google Scholar]
- Tibesigwa B, Visser M, Turpie J: The impact of climate change on net revenue and food adequacy of subsistence farming households in South Africa. Environ Dev Econ. 2015;20(3):327–353. 10.1017/S1355770X14000540 [DOI] [Google Scholar]
- Tscharntke T, Clough Y, Wanger TC, et al. : Global food security, biodiversity conservation and the future of agricultural intensification. Biol Conserv. 2012;151(1):53–59. 10.1016/j.biocon.2012.01.068 [DOI] [Google Scholar]
- Tuomisto HL, Hodge ID, Riordan P, et al. : Does organic farming reduce environmental impacts?--a meta-analysis of European research. J Environ Manage. 2012;112:309–320. 10.1016/j.jenvman.2012.08.018 [DOI] [PubMed] [Google Scholar]
- Turral H, Burke JJ, Faurès JM: Climate change, water and food security.Food and Agriculture Organization of the United Nations Rome, Italy.2011. Reference Source [Google Scholar]
- UNSCS: Climate change and nutrition security: Message to the UNFCCC negotiators. 16th United Nations Conference of the Parties (COP16) Cancun, November 29th December 10th, 2010. 2010. Reference Source [Google Scholar]
- Vermeulen SJ, Campbell BM, Ingram JS: Climate Change and Food Systems. Annu Rev Environ Resour. 2012;37:195–222. 10.1146/annurev-environ-020411-130608 [DOI] [Google Scholar]
- Wani SP, Rockström J, Owels T: Rainfed agriculture: unlocking the potential.Wallingford, UK: CABI; Patancheru, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics (ICRISAT); Colombo, Sri Lanka: International Water Management Institute (IWMI),2009;310 Reference Source [Google Scholar]
- WHO: Guidelines for the safe use of wastewater, excreta and greywater. Volume II; wastewater use in agriculture.World Health Organisation,2006. Reference Source [Google Scholar]
- Withers P, Neal C, Jarvie H, et al. : Agriculture and Eutrophication: Where Do We Go from Here? Sustainability. 2014;6(9):5853–5875. 10.3390/su6095853 [DOI] [Google Scholar]
- Xue X, Landis AE: Eutrophication potential of food consumption patterns. Environ Sci Technol. 2010;44:6450–6456. 10.1021/es9034478 [DOI] [PubMed] [Google Scholar]
- Zezza A, Davis B, Azzarri C, et al. : The impact of rising food prices on the poor.Unpublished manuscript. Food and Agriculture Organization, Rome.2008. Reference Source [Google Scholar]