What model of agricultural transformation can reach the policy goals of just transformation and increased productivity in thediverse African smallholder sector? A response to this question relies on studies that examine outcomes of local agriculturalinvestments. A significant, yet under-studied, example of these investments is small-scale public investments in irrigation. Toaddress this gap, we analyse social differentiation and accumulation patterns arising from donor-supported public investmentsin irrigation in four villages in the Kilombero District, Tanzania. Participatory wealth ranking and interviews reveal that invest-ments in small-scale smallholder irrigation fuelled a process of accumulation from ‘below’. We discuss how these investmentscan be considered more inclusive than ‘from above’ accumulation (from extra-local investments), while nonetheless contributingto some differentiation among smallholders. We conclude that public investments that align with smallholders' initiatives in irri-gation development are more likely to contribute to policy goals of socially inclusive improved agricultural productivity.

Increasing temperatures and shifting precipitation patterns have major consequences for smallholder farmers, especially in the Global South. Our study examined spatial patterns and climatic drivers of farmers' perceptions of climate change, and how these perceptions translated into adaptation actions. We interviewed 56 farmers in southwestern Ethiopia and analyzed ERA5-Land reanalysis climate data from 1971 to 2020. The majority of farmers perceived the recorded temperature increase as well as a decrease and shift in the timing of rainfall. Perceived climate change varied with local climate factors and not with the rate of climate change itself. Farmers' adaptation practices showed associations with local temperature, but not with farmers’ perceptions of climate change. Our findings highlight that even if farmers perceive climate change, perceptions are most common in areas where climate action is already urgent, and perceptions may not translate into adaptation. Thus, targeted and timely information and extension programs are crucial.

Groundwater is increasingly seen as crucial to both agricultural and domestic water supply in sub-Saharan Africa. Citing climate change and growing populations, there is especially a notable shift towards promoting groundwater for irrigation to ensure food security. Increased use of the resource will undoubtedly be accompanied with new questions of governance, with groundwater overexploitation in other parts of the world functioning as a strong cautionary tale. This article provides an overview of the current groundwater governance literature on sub-Saharan Africa. Using a critical water governance lens we analyse how groundwater governance is framed, what terms, categories, and measurements are used to describe and assess groundwater governance, and whose perspectives are considered. We also assess whether groundwater governance research has taken place across sub-Saharan African countries in a balanced way. We find that groundwater governance research in sub-Saharan Africa, even more so than elsewhere, ignores the voices and perspectives of those physically encountering the resource. Instead, it is dominated by the views of formal, technical groundwater experts focusing on the need for more hydrogeological data and formal policies. While the existing contributions to the literature are valuable, the current bias in perspectives calls for others to join the field of groundwater governance and to supplement current conceptualisations and approaches with those of users and others dealing with groundwater management on a daily basis. We argue that groundwater users’ practical governance experiences, locally adapted solutions and knowledges, can add important complementary perspectives and insights towards crafting effective, sustainable and equitable groundwater governance processes across the continent.

Societal Impact StatementAdapting agriculture to climate change requires an understanding of the long-term relationship between climate, disease dynamics, and yield. While some countries have monitored major crop diseases for decades or centuries, comparable data is scarce or non-existent for many countries that are most vulnerable to climate change. For this, a novel approach was developed to reconstruct climate-mediated changes in disease dynamics and yield. Here, a case study on Arabica coffee in its area of origin demonstrates how to combine local knowledge, climate data, and spatial field surveys to reconstruct disease and yield time series and to postulate and test hypotheses for climate-disease-yield relationships.Summary While some countries have monitored crop diseases for several decades or centuries, other countries have very limited historical time series. In such areas, we lack data on long-term patterns and drivers of disease dynamics, which is important for developing climate-resilient disease management strategies.We adopted a novel approach, combining local knowledge, climate data, and spatial field surveys to understand long-term climate-mediated changes in disease dynamics in coffee agroforestry systems. For this, we worked with 58 smallholder farmers in southwestern Ethiopia, the area of origin of Arabica coffee.The majority of farmers perceived an increase in coffee leaf rust and a decrease in coffee berry disease, whereas perceptions of changes in coffee wilt disease and Armillaria root rot were highly variable among farmers. Climate data supported farmers' understanding of the climatic drivers (increased temperature, less rainy days) of these changes. Temporal disease-climate relationships were matched by spatial disease-climate relationships, as expected with space-for-time substitution.Understanding long-term disease dynamics and yield is crucial to adapt disease management to climate change. Our study demonstrates how to combine local knowledge, climate data and spatial field surveys to reconstruct disease time series and postulate hypotheses for disease-climate relationships in areas where few long-term time series exist.

This article focuses on migrant labour in Nordic agriculture, wild berry picking and food processing. The starting point is the fear of a food crisis at the beginning of the coronavirus pandemic (2020) because of the absence of migrant workers. The question was raised early in the pandemic if food systems in the Global North are vulnerable due to dependence on precarious migrant workers. In the light of this question, we assess the reactions of farmers and different actors in Denmark, Finland, Norway and Sweden to what looked like an unfolding food crisis. In many ways, the reactions in the Nordic countries were similar to each other, and to broader reactions in the Global North, and we follow these reactions as they relate to migrant workers from an initial panic to a return to business as usual despite the continuation of the pandemic. In the end, 2020 proved to be an excellent year for Nordic food production in part because migrant workers were able to come. We discuss reasons why the Nordic countries did not face disruptions during the pandemic, map out patterns of labour precarity and segmentation for migrant labour in agriculture and food production in the Nordic countries and propose questions for further research.