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This article explores how digital agri-food system transformations are framed and by whom. To answer these questions, we searched for webpages linked to Twitter and by Google that describe the role of emerging digital technologies in agri-food systems. From these, we characterize three framings of transformation. The first framing proposes that digital tools make farms optimally productive. A second framing emphasizes inequities in access to digital tools and increased farmer participation in tech development. A third framing highlights how technology creates more traceable agri-food systems. We then conducted a social network analysis of webpage authors, finding three network clusters. The largest centres on intergovernmental and international development organizations that typically promote the first and third framings. The second framing is mostly promoted by academic and civil society actors and was least common across webpages, suggesting that digital agriculture trajectories may overlook farmer autonomy and agency. Framings vary in the degree of transformation they promote and their consideration of smaller-scale farms’ needs. We suggest that digital agri-food system transformation efforts are more diverse than typically described in the literature. We recommend public and private actors work with academics and civil society organizations to enhance farmer inclusion in designing novel transformative approaches.

Stress cardiomyopathy (SCM), also known as Takatsubo cardiomyopathy or broken heart syndrome has been well documented in literature since its first description. With more awareness of the condition and increasing evidence base, the reported incidence of SCM has steadily increased over years and currently estimated at 1-2 % of the patients presenting with acute coronary syndrome. There are different criteria proposed for diagnosis of stress cardiomyopathy and this address more or less the same clinical questions while diagnosing this not so uncommon condition. Despite extensive research , there has been a lack of understanding on the exact mechanism and causative factors leading to SCM. We report a variety of cases where a different trigger appears to have been responsible for causation of SCM. It would seem that irrespective of the original trigger, the final clinical picture and course remains identical. These further strengths the idea that the condition is mediated by a common neurocardiovacular pathway in susceptible individuals. Further exploration of these mechanisms would be crucial to improve our strategies to try to prevent and effectively manage this potentially disabling condition.

To achieve the Sustainable Development Goal of zero hunger, multi-sectoral strategies to improve nutrition are necessary. Building towards this goal, the food and agriculture sector must be considered when designing nutritional interventions. Nevertheless, most frameworks designed to guide nutritional interventions do not adequately capture opportunities for integrating nutrition interventions within the food and agriculture sector. This paper aims to highlight how deeply connected the food and agriculture sector is to underlying causes of malnutrition and identify opportunities to better integrate the food and agriculture sector and nutrition in low and middle income countries. In particular, this paper: (1) expands on the UNICEF conceptual framework for undernutrition to integrate the food and agriculture sector and nutrition outcomes, (2) identifies how nutritional outcomes and agriculture are linked in six important ways by defining evidence-based food and agriculture system components within these pathways: as a source of food, as a source of income, through food prices, women’s empowerment, women’s utilization of time, and women’s health and nutritional status, and (3) shows that the food and agriculture sector facilitates interventions through production, processing and consumption, as well as through farmer practices and behavior. Current frameworks used to guide nutrition interventions are designed from a health sector paradigm, leaving agricultural aspects not sufficiently leveraged. This paper concludes by proposing intervention opportunities to rectify the missed opportunities generated by this approach. Program design should consider the ways that the food and agriculture sector is linked to other critical sectors to comprehensively address malnutrition. This framework is designed to help the user to begin to identify intervention sites that may be considered when planning and implementing multi-sectoral nutrition programs. Supplementary Information The online version contains supplementary material available at 10.1007/s12571-022-01262-3.

Background There is recognition that a reduction of consumer demand for foods that have large environmental footprints is necessary. Recent innovations in food production technologies (“food frontiers”) claim to offer gains in ecological sustainability and global food security, thereby transitioning our food system toward a more sustainable future. Yet, scientific evidence to support these claims has not been critically reviewed for several high-profile innovations. Scope and approach In this paper, we undertake a critical review of the literature on five food frontiers: cellular agriculture, climate-driven northern agricultural expansion (NAE), controlled environment agriculture (CEA), entomophagy, and seaweed aquaculture. We estimate the feasibility of each frontier’s widespread implementation by 2050 and their potential positive impacts on food system sustainability. We highlight uncertainty regarding ecological tradeoffs and future production potential in the literature, research gaps, and policy pathways that may maximize the benefits of these food frontiers. Key findings and conclusions Entomophagy, cellular agriculture, CEA, and seaweed aquaculture have similar positive impact values. Yet, CEA appears to be the most feasible technology to implement at scale. The mixed potential impacts of NAE suggest that such expansion poses multiple risks to the global food system. Standardized approaches to modeling environmental parameters in life cycle analyses are required, so that predicted impacts can be reasonably compared within and among these bodies of literature. Further critical social scientific engagement is needed to better understand the political and institutional frameworks in which these food frontiers will be implemented.

The application of technologies such as artificial intelligence, robotics, blockchain, cellular agriculture, and big data analytics to food systems has been described as a digital agricultural revolution with the potential to increase food security and reduce agriculture’s environmental footprint. Yet, the scientific evidence informing how these technologies may impact or enhance ecosystem services has not been comprehensively reviewed. In this scoping review, we examine how digital agricultural technologies may enhance agriculture’s support of ecosystem services. Keyword searches in academic databases resulted in 2337 records, of which 74 records met review criteria and were coded. We identify three clusters of digital agricultural technologies including those that make farm management more precise, increase connectivity, and create novel foods. We then examine modelling and empirical evidence gaps in research linking these technologies to ecosystem services. Finally, we overview barriers to implementing digital agricultural technologies for better ecosystem services management in the Canadian context including economic and political systems; lack of policies on data management, governance, and cybersecurity; and limited training and human resources that prevents producers from fully utilizing these technologies.

Climate change will create warmer temperatures, greater precipitation, and longer growing seasons in northern latitudes making agriculture increasingly possible in boreal regions. To assess the potential of any such expansion, this paper provides a first-order approximation of how much land could become suitable for four staple crops (corn, potato, soy, and wheat) in Canada by 2080. In addition, we estimate how the environmental trade-offs of northern agricultural expansion will impact critical ecosystem services. Primarily, we evaluate how the regulatory ecosystem services of carbon storage and sequestration and the habitat services supporting biodiversity would be traded for the provisioning services of food production. Here we show that under climate change projected by Canadian Earth System Model (CanESM2) Representative Concentration Pathway 4.5, ∼1.85 million km2of land may become suitable for farming in Canada’s North, which, if utilized, would lead to the release of ∼15 gigatonnes of carbon if all forests and wetlands are cleared and plowed. These land-use changes would also have profound implications for Indigenous sovereignty and the governance of protected and conserved areas in Canada. These results highlight that research is urgently needed so that stakeholders can become aware of the scope of potential economic opportunities, cultural issues, and environmental trade-offs required for agricultural sustainability in Canada.

Place-based social-ecological research is often designed to improve local environmental governance, but it can also inform decisions at larger scales or in other places. However, the focus on local perspectives in such research creates challenges for transferring insights to other locations, and for aggregating understanding to larger scales. In this paper, we discuss how ResNet, a new pan-Canadian network of researchers working on place-based social-ecological case studies via ecosystem services, will face (and hopefully overcome) these challenges while taking advantage of the unique benefits of a place-based approach. Drawing on insights from the literature and from the first 10 years of the Programme for Ecosystem Change and Society (PECS), we outline solutions to six key challenges to multi-scale knowledge integration across place-based cases, and explore how ResNet is employing some of these solutions.

In this research brief, we report on findings from research on organizations that distribute recovered food in Metro Vancouver, Canada in the context of widespread food waste. Our findings suggest ...

The development of modern, industrial agriculture and its high input-high output carbon energy model is rendering agricultural landscapes less resilient. The expected continued increase in the frequency and intensity of extreme weather events, in conjunction with declining soil health and biodiversity losses, could make food more expensive to produce. The United Nations has called for global action by establishing 17 sustainable development goals (SDGs), four of which are linked to food production and security: declining biodiversity (SDG 15), loss of ecosystem services and agroecosystem stability caused by increasing stress from food production intensification and climate change (SDG 13), declining soil health caused by agricultural practices (SDGs 2 and 6), and dependence on synthetic fertilizers and pesticides to maintain high productivity (SDG 2). To achieve these SDGs, the agriculture sector must take a leading role in reversing the many negative environmental trends apparent in today's agricultural landscapes to ensure that they will adapt and be resilient to climate change in 2030 and beyond. This will demand fundamental changes in how we practice agriculture from an environmental standpoint. Here, we present a perspective focused on the implementation of an agrosystem approach, which we define to promote regenerative agriculture, an integrative approach that provides greater resilience to a changing climate, reverses biodiversity loss, and improves soil health; honors Indigenous ways of knowing and a holistic approach to living off and learning from the land; and supports the establishment of emerging circular economies and community well-being. Integr Environ Assess Manag 2022;18:1199-1205. © 2021 SETAC.

In recent years, Smart Farming (SF) and Precision Agriculture (PA) have attracted attention from both the agriculture industry as well as the research community. Altogether, SF and PA aim to help farmers use inputs (such as fertilizers and pesticides) more efficiently through using Internet of Things (IoT) devices, but in doing so, they create new security threats that can defeat this purpose in the absence of adequate awareness and proper countermeasures. A survey on different security-related challenges is required to raise awareness and pave they way for further research in this area. In this paper, we first itemize the security aspects of SF and PA. Next, we review the types of cyber attacks that can violate each of these aspects. Accordingly, we present a taxonomy on cyber-threats to SF and PA on the basis of their relations to different stages of Cyber-Kill Chain (CKC). Among cyber-threats, we choose Advanced Persistent Threats (APTs) for further study. Finally, we studied related risk mitigation strategies and countermeasure, and developed a future road map for further study in this area. This paper’s main contribution is a categorization of security threats within the SF/PA areas and provide a taxonomy of security threats for SF environments so that we may detect the behavior of APT attacks and any other security threat in SF and PA environments.

To increase donations of nutritious food, Ontario introduced a tax credit for farmers who donate agricultural products to food banks in 2013. This research seeks to investigate the role of Ontario’s Food Donation Tax Credit for Farmers in addressing both food loss and waste (FLW) and food insecurity through a case study of fresh produce rescue in Windsor-Essex, Ontario. This research also documents the challenges associated with rescuing fresh produce from farms, as well as alternatives to donating. Interviews with food banks, producers and key informants revealed that perceptions of the tax credit, and the credit’s ability to address FLW and food insecurity, contrasted greatly with the initial perceptions of the policymakers who created the tax credit. In particular, the legislators did not anticipate the logistical challenges associated with incentivizing this type of donation, nor the limitations of a donation-based intervention to provide food insecure Ontarians with access to fresh, nutritious food.

Background Modern food supply chains are complex and contain numerous stakeholders, with each performing specific roles pertaining to food production. As food supply chains become more complex, the importance of food production transparency increases. Several factors contribute to the need for transparency such as an increase in the global population, detection of foodborne illness outbreaks, efficient management of risks and recalls, and satisfying consumer demand. A case in point is the necessity that food production systems become more sustainable through improvements in production efficiency and reducing the wasting of resources and food. Other examples include the need for timely identification of the source of food production, in addition to requiring a more rapid knowledge of the cause of contamination during outbreaks of foodborne illness. Scope and approach This review sets out to describe enabling technologies, provided by the Internet of Things (IoT), which have the potential to increase food production transparency. In addition, other technologies important for managing and using food supply chain data, such as blockchain and Big Data analytics, are reviewed. The IoT is the overarching technology which allows for data collection from multiple phases within supply chains leading to data driven transparent systems of food production. Key findings and conclusions Enabling transparency in food supply chains via implementation of technologies will require considerable effort from all stakeholders involved, resulting in many new challenges and requirements that must be addressed. These challenges and requirements range from technical issues, such as Internet connection, storage requirements, device security, and government requirements and regulations, to those concerning consumer acceptance.

Digital technologies are being developed and adopted across the agro‐food system, from farm to fork. Within decision‐making spaces, however, little attention is being paid to political factors arising from such technological developments. This review draws from critical social sciences to examine emerging technologies and big data systems in agriculture and assesses some key issues arising in the field. We begin with an introduction and review of the so‐called ‘digital revolution’ and then briefly outline how political economy is effective for understanding major challenges for governing technologies and data systems in agriculture. These challenges include: (1) data ownership and control, (2) the production of technologies and data development, and (3) data security. We then use literature and examples to consider the extent to which the political and economic landscape can be shifted to support greater equity in agriculture, while reflecting on structural challenges and limits. In doing so, we emphasise that while there are significant systemic tensions between digital ag‐tech development and agroecological approaches, we do not see them as mutually exclusive per se. This article intends to provide decision‐makers, practitioners and scholars from a wide range of disciplines with a timely assessment of agro‐food digitalisation that attends to political economic factors. In doing so, this article contributes to policy and decision‐making discussions, which, from our perspective, continue to be rather technocentric in nature while paying little attention to how digital technologies can support agroecological systems specifically.

The livelihoods of people dependent on the Tonle Sap floodplain ecosystem in Cambodia are expected to be affected by changes in economic conditions, social circumstances, environmental perturbations, demographic shifts and political climates. This study assesses how small‐scale fisheries’ livelihoods are changing in response to social and environmental conditions using the opinions of fishers collected through an intensive family survey of 514 households from Pursat and Battambang Provinces in Cambodia. Probit modelling approach was used to assess whether a fisher would continue fishing or not in the future when subjected to a variety of shifting conditions and identify the factors associated with their response. It was found that in any future condition about 50% of fishers would likely continue to fish, which suggests how much they love their traditional livelihood of fishing. The remaining 50% considered to diversify their livelihood strategy by shifting towards a combination of fishing, farming, and off‐farm jobs. Furthermore, the analysis found that the fishers will change their fishing practices depending on how other sectors in the region develop. The model showed increasing access to agricultural activities decreased the likelihood of continuing to fish, whereas finding an off‐farm job corresponded to increased likelihood of continuing to fish.

This paper investigates the economic impact of future global change on fishing dependent inhabitants of the Tonle Sap floodplain in Cambodia. We compare the net income from individuals’ current livelihoods to that derived from reallocating their livelihood activities under 4 different scenarios depicting future change. Respondents generally chose to retain their current livelihood strategy under all future scenarios. Less than 10% of those who did change livelihood allocation actually experienced a gain in economic benefits. Those engaged in single livelihoods experienced an average income loss of 18% across all scenarios, compared to 9% for the multi-livelihood group. Respondents’ choices generated the best economic outcome under a status quo scenario, thus suggesting a low capacity to adapt when faced with unfamiliar future scenarios. Our study contributes to identifying and understanding the economic impact of future global changes on fisheries dependent individuals in the Tonle Sap floodplain ecosystem.

Smart farming aims to improve farming using modern technologies and smart devices. Smart devices help farmers to collect and analyze data regarding different aspects of their business. These data are utilized by various stakeholders, including farmers, technology providers, supply chain investigators, and agricultural service providers. These data sources can be considered big data due to their volume, velocity, and variety. The wide use of data collection and communication technologies has increased concerns about the privacy of farmers and their data. Although some previous studies have reviewed the security aspects of smart farming, the privacy challenges and solutions are not sufficiently explored in the literature. In this paper, we present a holistic review of big data privacy in smart farming. The paper utilizes a data lifecycle schema and describes privacy concerns and requirements in smart farming in each of the phases of this data lifecycle. Moreover, it provides a comprehensive review of the existing solutions and the state-of-the-art technologies that can enhance data privacy in smart farming.

In the version of this Comment initially published, there was an error in the spelling of an author’s name. The name of Jessica Fanzo, initially appearing as “Frazo,” has been corrected in the online version of the article.

Global social and economic changes, alongside climate change, are affecting the operating environment for agriculture, leading to efforts to increase production and yields, typically through the use of agrochemicals like pesticides and fertilizers, expanded irrigation, and changes in seed varieties. Intensification, alongside the expansion of agriculture into new areas, has increased harvest, but has also had numerous well-known impacts on the environment, ultimately resulting in a loss of resilience and lack of sustainability in agro-ecosystems. Combined with features of agricultural systems such as the differential movement of ecosystem services, and interactions among ecosystem services driven in part by management choices, such intensification has disrupted key feedbacks in agricultural systems. These changes have tended to perpetuate the management choices that have led to efficient, productive agriculture, often at the expense of nature and the provision of important nonfood ecosystem services. Here, we explore how agriculture functions as a complex adaptive system. We assess how recent changes have interacted with agro-ecosystem features to result in a loss of resilience, and suggest key research directions to help harmonize production and ecosystem function, drawing primarily on Canadian examples. Enhancing the resilience of agricultural landscapes is critical to the long-term sustainability of agriculture in a rapidly changing world.

The anticipated failure of many countries to achieve the Sustainable Development Goals by 2030 necessitates the assessment of science–policy engagement mechanisms for food systems transformation. We explore options for enhancing existing partnerships, mandates and resources — or reimagining a new mission — for science–policy interfaces.

In most climate change research, agricultural yields are explained as a function of climatic and biophysical factors such as soil, rainfall and temperature. However, the increased use of integrated sensors, digital technologies and robotics within the agricultural sector has dramatically altered the way in which we produce food. Considering both the agriculture industry’s continuing widespread technological innovation and a rapidly changing biophysical environment, there is a need to explore how sociotechnical and climatic variables interact to determine yield. In this paper, we present a regression model derived from Agriculture and Agri-Food Canada (AAFC) yield data, Environment and Climate Change Canada (ECCC) climate and land capability data, and Statistics Canada Census of Agriculture databases that include sociotechnical variables such as farms that use GIS and GPS had access to high-speed internet alongside more traditional biophysical factors to predict canola (rape seed) yields in the southern prairies of Canada. We demonstrated that about 38% of canola yield variability could be explained by temperature and rainfall during the growing season (defined as 3 months of June, July and August) and access to high-speed internet, application of chemical fertilizer, fungicides and average age of farm operators. While of a preliminary nature, our results demonstrate that a better understanding of how climatic and sociotechnical factors interact is necessary to anticipate how climate change may affect the crop yield.

Meeting future food demands for 9 billion people in the next 30 years will require either agricultural expansion or intensification to increase production. However, agriculture is already a major driver of biodiversity loss, as well as freshwater withdrawals, nutrient inputs, and greenhouse gasses, among other pressing environmental issues. In this paper, we look for solutions to this production-conservation challenge at the subfield scale. We use precision agriculture yield data from three farms in Southern Ontario and convert them into “profit maps” that show which regions of a field have management costs that exceed the market value of the commodities produced. We analyse the profit of three farms over time and identify areas that consistently show low or negative profit and thus constitute a compelling case for taking these areas out of production. We find, for example, that up to 14% of farmland can result in money loss and even more than 50% of the land might still not meet minimum revenue expectations. Further, we assess the economic feasibility of conservation strategies on these set-aside lands and find that investing in environmental benefits (even minimally) can often times be inexpensive when compared with economic losses due to failed harvests. We argue that profit mapping can serve as a management tool for farmers that will allow them to identify optimal crop areas, optimize nutrient inputs, plan for ecological intensification, and avoid economic loss all while providing ecosystem services at the local scale.

Agriculture stands on the cusp of a digital revolution, and the same technologies that created the Internet and are transforming medicine are now being applied in our farms and on our fields. Overall, this digital agricultural revolution is being driven by the low cost of collecting data on everything from soil conditions to animal health and crop development along with weather station data and data collected by drones and satellites. The promise of these technologies is more food, produced on less land, with fewer inputs and a smaller environmental footprint. At present, however, barriers to realizing this potential include a lack of ability to aggregate and interpret data in such a way that it results in useful decision support tools for farmers and the need to train farmers in how to use new tools. This article reviews the state of the literature on the promise and barriers to realizing the potential for Big Data to revolutionize agriculture.

Agricultural digitization is revolutionizing food production with promises to increase both yield and environmental sustainability through the reduction of chemical inputs. However, it is unclear whether the adoption of digital agricultural technologies can also play a role in preventing or reducing food loss and waste. Examples of technologies used in food loss and waste reduction include ‘smart packaging’ that changes colour as food spoils, or Blockchain and radio-frequency identification tags that track information to identify potential sources of contamination along the food supply chain. Here, a systematic literature review was conducted to investigate the role of digital agricultural technologies in enabling food loss and waste prevention/reduction or lack thereof from a global perspective. To explore the digital agricultural technologies-food loss and waste dynamics, this review employed four conceptual frameworks relevant to the United Nations' Sustainable Development Goal 12 and Target 12.3 to foster responsible consumption and production patterns and to halve per capita food waste respectively by 2030. The four frameworks include (i) environmental sustainability, (ii) economic efficiency, (iii) social equity, and (iv) substantive governance and policies. The review findings demonstrate that prohibitive investment costs and the digital divide between technology adaptors limit the wide uptake of digital agricultural technologies. Where adoptions were evident, the rationale to do so was centered on boosting economic gains, reducing food production costs, and/or alleviating food insecurity. Food loss and waste prevention was rarely the principal technology adoption driver. The dynamics between digital agricultural technologies and food loss and waste prevention deserve rigorous examination to support practical policy options that invigorate sustainable food systems.

Plastic waste has gained global attention due to growing concerns about its impact on human and environmental health. More than 50% of manufactured plastics are disposed of after single-use, leading to 150 million tons of annual plastic waste worldwide. Although numerous efforts are underway to replace single-use plastic straws with alternative products to reduce environmental pollution, their potential impact on the environment, economy, and society is yet to be analyzed. This study considers plastic straws as an exemplar that captures the evolution of plastic use, its persisting problems, on-going efforts and advances in single-use plastic waste management, and the search for viable alternatives. We use the key principles of sustainability to explore the environmental, economic, and social impacts of different types of straw. In doing this, we contrast how producing drinking straws with (bio)materials could reduce their ecological impact, improve waste management. Additionally, we evaluate alternative approaches that have the potential to include straws within a broader “circular economy” strategy. However, alternative ways of producing straws only provide a partial solution. A broader beneficial effect on the environment will only be attained through consumer acceptance and behavioral changes. Any shift to resolve the persisting issues surrounding single-use plastics must be done from a systems approach to sustainability in order to mitigate environmental and economic risks and their rebound effects on the society.

Tropical fisheries are among the most productive fisheries in the world, often providing the primary source of protein for the local population. Despite their importance, data on these systems are relatively limited, thus hampering management and policy development. Here, the implications of increasing fishing pressure are explored by critically evaluating the perceptions of the fishers who rely on these ecosystems to survive. A total of 169 fishers in 26 different fish-dependent communities in the Tonle Sap Lake, Cambodia, were surveyed to understand their perceptions of the impact that fishing has had on the ecosystem. The Tonle Sap is one of the largest, yet poorest studied, freshwater fisheries in the world. Consistent with “fishing down the food web” theory of fisheries, survey data revealed that although fishers observed the total size of fish catch remaining consistent over recent years there has been a drastic decline in the size of individual fish, as well as a reduction in the diversity of species caught. These perceptions are examined with reference to food web theories that explore how fishing pressure leads to ecosystem change, including the more recent “indiscriminate fisheries” theory.

Governments tend to focus on short-term policies to address the immediate effects of high food prices when spikes occur, while in the long term, urban residents are left to their own devices strugg...

Alternative food networks are emerging in opposition to industrial food systems, but are criticized as being exclusive, since customers’ ability to patronize these market spaces is premised upon their ability to pay higher prices for what are considered the healthiest, freshest foods. In response, there is growing interest in widening the demographic profile given access to these alternative foods. This research asks: what barriers do alternative food businesses face in providing access and inclusion for low income consumers? Surveys and interviews with 45 alternative food businesses in British Columbia, Canada uncovered five key barriers. The findings indicate that the barriers are symptomatic of structural issues in the Canadian food and social welfare systems. Although opportunities exist for business operators to widen access for low income shoppers, these alone cannot meaningfully ameliorate food-access inequality. Rather, these barriers underscore issues of income-disparity, poverty, and food-access inequality more broadly, and require structural and societal change to rectify.

This paper contributes to the urban food security literature by presenting the results of 600 household surveys conducted in Ghana and Cameroon. In this, we show how dietary diversity, which is a well-developed proxy for food security, is similar in both countries but varies significantly based on household demographic characteristics. In particular, smaller, better-off and more educated households were likely to have higher levels of dietary diversity and were less likely to respond to rising food prices by reducing diets or shifting buying patterns. In addition, households that live in ‘primary’ cities that are large and well integrated into global markets also enjoyed higher levels of dietary diversity. This research contributes to debates around whether or not food security is enhanced by being integrated into global markets or whether it is better served through national or regional food systems. The evidence uncovered here suggests that for well-off households, integration into global markets is probably preferable as such households enjoy more diverse diets. Copyright © 2017 John Wiley & Sons, Ltd.

Whether the food movement is most likely to transform the food system through ‘alternative’ or ‘oppositional’ initiatives has been the focus of considerable scholarly debate. Alternative initiatives are widespread but risk reinforcing the conventional food system by supporting neoliberal discourse and governance mechanisms, including localism, consumer choice, entrepreneurialism and self-help. While oppositional initiatives such as political advocacy have the potential for system-wide change, the current neoliberal political and ideological context dominant in Canada poses difficulties for initiatives that explicitly oppose the conventional food system. As such, some argue that the food movement requires convergence between alternative and oppositional initiatives. In this paper, we investigate convergence using survey results from 143 food movement organizations in four Canadian provinces. Results based on cluster analysis and descriptive statistics on organizational discourse, activities and visions of sustainable food systems demonstrate convergence around neoliberal discourse and governance mechanisms. Localism and consumer education characteristics are particularly prominent, with a majority of respondents describing their organizations as ‘local’, engaging in consumer education activities, and stating the importance of consumer education activities, indicating convergence around alternative, rather than oppositional, initiatives. While convergence around these discourse and strategies may limit the transformative potential of the food system when interpreted as neoliberalisation of the movement, such a reading does not demonstrate their full potential, as survey results also indicate trends of transformative visions of change and political engagement, particularly at the municipal level. This research demonstrates that the movement can work simultaneously within, and opposed to, the conventional food system, and provides understanding of both neoliberal leanings and the politics of the possible of the food movement.

The purpose of this paper is to provide a high-level overview of arguments related to “feeding the future.” Briefly, this paper opens by exploring the very serious challenge of feeding the world's global population in a way that is sustainable, equitable, nutritious and economically efficient. Part two of this paper presents some of the technological innovations that are proposed as partial solutions to the global food security challenge. The final part of this paper reflects on three specific sociopolitical considerations that must be considered in order to ensure that technological innovation addresses the global food security challenge.

A “digital revolution” in agriculture is underway. Advanced technologies like sensors, artificial intelligence, and robotics are increasingly being promoted as a means to increase food production efficiency while minimizing resource use. In the process, agricultural digitalization raises critical social questions about the implications for diverse agricultural labourers and rural spaces as digitalization evolves. In this paper, we use literature and field data to outline some key trends being observed at the nexus of agricultural production, technology, and labour in North America, with a particular focus on the Canadian context. Using the data, we highlight three key tensions observed: rising land costs and automation; the development of a high-skill/low-skilled bifurcated labour market; and issues around the control of digital data. With these tensions in mind, we use a social justice lens to consider the potential implications of digital agricultural technologies for farm labour and rural communities, which directs our attention to racial exploitation in agricultural labour specifically. In exploring these tensions, we argue that policy and research must further examine how to shift the trajectory of digitalization in ways that support food production as well as marginalized agricultural labourers, while pointing to key areas for future research—which is lacking to date. We emphasize that the current enthusiasm for digital agriculture should not blind us to the specific ways that new technologies intensify exploitation and deepen both labour and spatial marginalization.

It is well-recognised that to achieve long-term sustainable and resilient land management we need to understand the coupled dynamics of social and ecological systems. Land use change scenarios will often aim to understand (i) the behaviours of land management, influenced by direct and indirect drivers, (ii) the resulting changes in land use and (iii) the environmental implications of these changes. While the literature in this field is extensive, approaches to parameterise coupled systems through integration of empirical social science based models and ecology based models still need further development. We propose an approach to land use dynamics modelling based on the integration of behavioural models derived from choice experiments and spatially explicit systems dynamics modelling. This involves the specification of a choice model to parameterise land use behaviour and the integration with a spatial habitat succession model. We test this approach in an upland socio-ecological system in the United Kingdom. We conduct a choice experiment with land managers in the Peak District National Park. The elicited preferences form the basis for a behavioural model, which is integrated with a habitat succession model to predict the landscape level vegetation impacts. The integrated model allows us to create projections of how land use may change in the future under different environmental and policy scenarios, and the impact this may have on landscape vegetation patterns. We illustrate this by showing future projection of landscape changes related to hypothetical changes to EU level agricultural management incentives. The advantages of this approach are (i) the approach takes into account potential environmental and management feedbacks, an aspect often ignored in choice modelling, (ii) the behavioural rules are revealed from actual and hypothetical choice data, which allow the research to test the empirical evidence for various determinants of choice, (iii) the behavioural choice models generate probabilities of alternative behaviours which make them ideally suited for integration with simulation models. The paper concludes that the modelling approach offers a promising route for linking socio-economic and ecological features of socio-ecological systems. Furthermore, our proposed approach allows testing of the underlying socio-economic and environmental drivers and their interaction in real environmental systems.

For farmers in rural Africa, climate change could significantly alter the natural environment, leading to a loss of income, food security and well-being; however, much remains unknown about the way a change in climate may affect a person's decision to migrate away from their home. Using a framework based on migration aspirations and capabilities, this paper examines how climate stresses (such as droughts that cause a long-term decline in harvests) and climate shocks (i.e. acute food shortages and sudden flooding) may affect migration decision-making in rural Malawi. Drawing on survey (n = 255), interview (n = 75) and focus group (n = 93) data from rural and urban dwellers, we find that climate stresses typically do not change rural dwellers’ aspiration to leave their homes, except for a small group of younger farmers from better-off households. However, these same stresses may erode human, financial and social capital, thus reducing migration capability. Data also reveal that acute shocks erode both the m...