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Sustainable cropping systems for the future

As global food demand grows and environmental pressures on agriculture intensify, there is an increasingly urgent need for food systems that are sustainable and resilient. PLOS ONE publishes a range of scientific research touching on all aspects of food systems, from analyses of agronomic efficiency to participatory policy development. Following on from our recent blog on tropical agriculture, here we focus on the integration of agricultural crops in social and economic systems. We highlight a range of recent articles that provide important insights into the structure and function of current cropping systems, and the elaboration and deployment of improved alternatives.

Food system classification and food security metrics

Food systems around the world vary widely in terms of configuration and resilience, and Baer-Nawrocka and Sadowski produced a typology to classify prevalent food systems and levels of food security in individual countries [1]. Their results pinpoint areas of Sub-Saharan Africa and Central Asia where systemic food insecurity is most critical. Whilst the public discourse surrounding food systems often focuses on the quantity of food produced, understanding imbalances in nutritional quality is also of vital importance. In their PLOS ONE article, KC and colleagues compared recommended dietary composition with actual agricultural production [2]. At a global scale, they found evidence for overproduction of grains, fats and sugars, and underproduction of fruits, vegetables and proteins. This led the authors to propose ways of redressing this overall nutritional imbalance without compromising on land use and greenhouse gas emissions. Meanwhile, Grovermann and colleagues assessed eco-efficiency in the food systems of 79 developing countries [3]. They also identified factors that promoted agricultural innovation, finding that the most effective interventions were context-specific. But what factors drive the sustainability of any given food system? This question was addressed by Béné and colleagues, who identified twelve key drivers in a representative set of low-, middle- and high-income countries [4]. They found that most drivers had a negative effect on sustainability and could be associated with the global demographic transition, highlighting the even greater challenges that lie ahead.

Reproducible measures for food (in)security are fundamental to efforts to build a strong evidence base for effective interventions. A key finding of Misselhorn and Hendriks’s systematic review of food insecurity research in South Africa was that there was a widespread lack of consistency in the indicators used to measure food insecurity [5]. They see this as a major limitation for monitoring activities and for developing policies to improve local and regional situations. Meanwhile, working in Brazil and Colombia, Córdoba and colleagues proposed a conceptual and methodological framework for evaluation of resilience in agroecosystems [6]. They used a participatory approach to assess stakeholder agency, which is ranked as an important determinant of overall resilience in their evaluation framework. The need for meaningful measurement of climate resilience spurred Parker and colleagues to develop a climate risk vulnerability assessment for the tropics [7]. They applied their methods in Vietnam, Uganda and Nicaragua, identifying sub-national regions of contrasting vulnerability.

Photo by vandelinodias on Pixabay

Crop diversification

The diversification of agricultural crops is often discussed as a potential route to more resilient food systems, at local, regional and global scales. Research by Smith and colleagues found that six decades of agricultural intensification in India had been associated with increased crop diversity at a national level, although this effect did not occur at a local scale [8]. Looking across a similar time interval, Martin and colleagues compared trends in crop diversity in 22 regions around the world [9]. They found broadly consistent patterns across these regions, including a marked increase in crop diversity in the 1970s-80s but an overall homogenisation of global crop species pools. At the level of the individual farm, the benefits of crop diversification must be weighed against the costs associated with a varied set of management requirements. To explore the potential consequences of labour market shocks on diversified farms, Beal Cohen and colleagues developed a model based on the example of labour-intensive fruit production in Florida [10]. Their results demonstrate that the effects of diversification on farm resilience are highly contingent on wider economic factors, which must be taken into account in agricultural policy development. Other PLOS ONE authors have investigated the potential of specific groups of crops for diversified agriculture. Toensmeier and colleagues focused on perennial vegetables, analysing the existing scientific literature to identify a number of key nutritional and environmental benefits of increased representation of these crops in food systems [11]. There are, however, major structural barriers to crop diversification. To understand these better, Morel and colleagues examined 25 European case-studies, performing a systematic characterisation of the contextual factors influencing the accessibility of crop diversification support schemes [12].

Land use

The land use requirements of agriculture are enormous, and it is crucial for researchers and policymakers to understand how they are affected by external factors and interact with other land uses. Mora and colleagues generated a set of scenarios of how future agricultural land use may be impacted by climate change and a range of socioeconomic factors [13]. These hypothetical scenarios can be used as tools in planning how best to adapt agriculture and food systems to future realities. Meanwhile, Hannah and colleagues examined how climate change may drive a poleward shift in crop cultivation, with extensive ramifications for global ecology and conservation [14]. They found that the expansion of cultivation across these climate-driven agricultural ‘frontiers’ could lead to particularly severe impacts on biodiversity, soil carbon storage and water resources. Debate also continues around perceived potential conflict between land use for edible crops and for bioenergy crops. In their analysis, Henry and colleagues found that, on current trajectories, food and bioenergy production could not be reconciled within a proposed planetary boundary of using 15% of the Earth’s ice-free land surface for crops [15]. Instead, they suggest that significant changes in the demand-side of the food system or revolutionary biotechnologies will be required to achieve such a target.

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Smallholder agriculture

Smallholder farmers constitute a large proportion of the human population engaged in agricultural production, particularly in the tropics. However, the umbrella term ‘smallholder’ covers a wide variety of different farm types and management strategies. To get a better handle on this diversity, Alvarez and colleagues designed and tested a new classificatory framework for smallholder farming systems in Zambia [16]. Their approach integrated participatory and statistical methods to define a typological basis for future exploration of system innovation and adaptation. Understanding smallholder responses to environmental challenges is a prerequisite for supporting adaptive behaviours. Jaleta and colleagues documented changes in management practices taken by Ethiopian smallholders in the wake of the 2010/11 wheat rust epidemic [17]. Accessibility of improved wheat seed sources was a key factor in determining the strategy taken by individual farmers, an insight which could inform future attempts to promote more resilient behaviours. Meanwhile, working in Tanzania, Steinke and colleagues tested a methodological approach to identifying the practices underpinning unusually high levels of agricultural and economic success in smallholder households [18]. They found 14 practices that could be formulated as recommendations or support schemes for other households to improve their production and resilience.

Similarly, understanding the factors that influence whether smallholders adopt agricultural intensification or diversification practices is a crucial part of efforts to remove barriers to more resilient farm management. Chen and colleagues analysed data from 15 countries, finding that many drivers of the adoption of intensification were common across countries and regions [19]. By contrast, most drivers of the adoption of diversification were specific to local contexts. It is by no means the case that all smallholders are subsistence farmers. Sibhatu and Qaim found that many Ethiopian smallholders are dependent on access to local markets to purchase 42% of their household calorie consumption [20]. Market-purchased foods were especially important for dietary quality and diversity, and the authors argue that this shows the need for policies that ensure that such markets are reliably accessible.

Photo by redfam on Pixabay

Climate adaptation

As climate change intensifies, adaptation of food systems becomes ever more urgent. The suitability of individual crop species for novel climates will require continuous reassessment, but projections such as those of Chemura and colleagues provide crucial insights into likely trends in crop productivity [21]. They found that different crop species in Ghana are likely to respond very differently to changes in climatic conditions, with important implications for where they are grown and how they are managed. De Pinto and colleagues have explored how climate smart agriculture measures could have a positive impact, but stressed the need for sufficient investment and coordination across the sector [22]. Working on a similar theme, Lan and colleagues identified factors including income inequality and profitability and affordability of CSA practices that affect adoption [23]. The impacts of increased climate variability and extreme events are likely to be particularly keenly felt at the level of individual farmers. In their analysis of smallholder household surveys from 15 countries in Latin America, Africa and South Asia, Niles and Salerno found that climate shocks were already common experiences [24]. They advocated for a renewed focus on building resilience and adaptive capacity in policy measures specifically designed to support smallholders.

Research into food systems is necessarily diverse and interdisciplinary, extending to many other issues not covered here such as food storage and distribution. PLOS ONE provides a venue for articles spanning all aspects of this vital subject. Dive in to find more!


  1. Baer-Nawrocka A, Sadowski A (2019) Food security and food self-sufficiency around the world: A typology of countries. PLoS ONE 14(3): e0213448. https://doi.org/10.1371/journal.pone.0213448
  2. KC KB, Dias GM, Veeramani A, Swanton CJ, Fraser D, Steinke D, et al. (2018) When too much isn’t enough: Does current food production meet global nutritional needs? PLoS ONE 13(10): e0205683. https://doi.org/10.1371/journal.pone.0205683
  3. Grovermann C, Wossen T, Muller A, Nichterlein K (2019) Eco-efficiency and agricultural innovation systems in developing countries: Evidence from macro-level analysis. PLoS ONE 14(4): e0214115. https://doi.org/10.1371/journal.pone.0214115
  4. Béné C, Fanzo J, Prager SD, Achicanoy HA, Mapes BR, Alvarez Toro P, et al. (2020) Global drivers of food system (un)sustainability: A multi-country correlation analysis. PLoS ONE 15(4): e0231071. https://doi.org/10.1371/journal.pone.0231071
  5. Misselhorn A, Hendriks SL (2017) A systematic review of sub-national food insecurity research in South Africa: Missed opportunities for policy insights. PLoS ONE 12(8): e0182399. https://doi.org/10.1371/journal.pone.0182399
  6. Córdoba C, Triviño C, Toro Calderón J (2020) Agroecosystem resilience. A conceptual and methodological framework for evaluation. PLoS ONE 15(4): e0220349. https://doi.org/10.1371/journal.pone.0220349
  7. Parker L, Bourgoin C, Martinez-Valle A, Läderach P (2019) Vulnerability of the agricultural sector to climate change: The development of a pan-tropical Climate Risk Vulnerability Assessment to inform sub-national decision making. PLoS ONE 14(3): e0213641. https://doi.org/10.1371/journal.pone.0213641
  8. Smith JC, Ghosh A, Hijmans RJ (2019) Agricultural intensification was associated with crop diversification in India (1947-2014). PLoS ONE 14(12): e0225555. https://doi.org/10.1371/journal.pone.0225555
  9. Martin AR, Cadotte MW, Isaac ME, Milla R, Vile D, Violle C (2019) Regional and global shifts in crop diversity through the Anthropocene. PLoS ONE 14(2): e0209788. https://doi.org/10.1371/journal.pone.0209788
  10. Beal Cohen AA, Judge J, Muneepeerakul R, Rangarajan A, Guan Z (2020) A model of crop diversification under labor shocks. PLoS ONE 15(3): e0229774. https://doi.org/10.1371/journal.pone.0229774
  11. Toensmeier E, Ferguson R, Mehra M (2020) Perennial vegetables: A neglected resource for biodiversity, carbon sequestration, and nutrition. PLoS ONE 15(7): e0234611. https://doi.org/10.1371/journal.pone.0234611
  12. Morel K, Revoyron E, San Cristobal M, Baret PV (2020) Innovating within or outside dominant food systems? Different challenges for contrasting crop diversification strategies in Europe. PLoS ONE 15(3): e0229910. https://doi.org/10.1371/journal.pone.0229910
  13. Mora O, Le Mouël C, de Lattre-Gasquet M, Donnars C, Dumas P, Réchauchère O, et al. (2020) Exploring the future of land use and food security: A new set of global scenarios. PLoS ONE 15(7): e0235597. https://doi.org/10.1371/journal.pone.0235597
  14. Hannah L, Roehrdanz PR, K. C. KB, Fraser EDG, Donatti CI, Saenz L, et al. (2020) The environmental consequences of climate-driven agricultural frontiers. PLoS ONE 15(2): e0228305. https://doi.org/10.1371/journal.pone.0228305
  15. Henry RC, Engström K, Olin S, Alexander P, Arneth A, Rounsevell MDA (2018) Food supply and bioenergy production within the global cropland planetary boundary. PLoS ONE 13(3): e0194695. https://doi.org/10.1371/journal.pone.0194695
  16. Alvarez S, Timler CJ, Michalscheck M, Paas W, Descheemaeker K, Tittonell P, et al. (2018) Capturing farm diversity with hypothesis-based typologies: An innovative methodological framework for farming system typology development. PLoS ONE 13(5): e0194757. https://doi.org/10.1371/journal.pone.0194757
  17. Jaleta M, Hodson D, Abeyo B, Yirga C, Erenstein O (2019) Smallholders’ coping mechanisms with wheat rust epidemics: Lessons from Ethiopia. PLoS ONE 14(7): e0219327. https://doi.org/10.1371/journal.pone.0219327
  18. Steinke J, Mgimiloko MG, Graef F, Hammond J, van Wijk MT, van Etten J (2019) Prioritizing options for multi-objective agricultural development through the Positive Deviance approach. PLoS ONE 14(2): e0212926. https://doi.org/10.1371/journal.pone.0212926
  19. Chen M, Wichmann B, Luckert M, Winowiecki L, Förch W, Läderach P (2018) Diversification and intensification of agricultural adaptation from global to local scales. PLoS ONE 13(5): e0196392. https://doi.org/10.1371/journal.pone.0196392
  20. Sibhatu KT, Qaim M (2017) Rural food security, subsistence agriculture, and seasonality. PLoS ONE 12(10): e0186406. https://doi.org/10.1371/journal.pone.0186406
  21. Chemura A, Schauberger B, Gornott C (2020) Impacts of climate change on agro-climatic suitability of major food crops in Ghana. PLoS ONE 15(6): e0229881. https://doi.org/10.1371/journal.pone.0229881
  22. De Pinto A, Cenacchi N, Kwon H-Y, Koo J, Dunston S (2020) Climate smart agriculture and global food-crop production. PLoS ONE 15(4): e0231764. https://doi.org/10.1371/journal.pone.0231764
  23. Lan L, Sain G, Czaplicki S, Guerten N, Shikuku KM, Grosjean G, et al. (2018) Farm-level and community aggregate economic impacts of adopting climate smart agricultural practices in three mega environments. PLoS ONE 13(11): e0207700. https://doi.org/10.1371/journal.pone.0207700
  24. Niles MT, Salerno JD (2018) A cross-country analysis of climate shocks and smallholder food insecurity. PLoS ONE 13(2): e0192928. https://doi.org/10.1371/journal.pone.0192928

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