The purpose of this study is to develop a robust, rigorous and replicable methodology that is flexible to data limitations and spatially prioritizes the vulnerability of agriculture and rural livelihoods to climate change. The methodology was applied in Vietnam, Uganda and Nicaragua, three contrasting developing countries that are particularly threatened by climate change. We conceptualize vulnerability to climate change following the widely adopted combination of sensitivity, exposure and adaptive capacity.
The purpose of this study is to explore the factors that drive producers to market their products through Community Support Agriculture (CSA) by using a county-level data set from the US.
The objective of the study was to outline the determinants of market awareness and participation in the Kaonafatso ya Dikgomo (KyD) scheme in South Africa. The study utilised a cross-sectional survey of a randomly selected sample of 116 KyD farmers in KwaZulu-Natal Province. A Logit model was used to analyse the data. The results show that more farmers are aware of farmgate market channels, but however, they tended to utilise auction market channels.
Multi-stakeholder initiatives (MSIs) are a form of private governance sometimes used to manage the social and environmental impacts of supply chains. This work argue that there is a potential tension between input and output legitimacy in MSIs. Input legitimacy requires facilitating representation from a wide range of organizations with heterogeneous interests. This work, however, faces collective action problems that could lead to limited ambitions, lowering output legitimacy.
The tank-based irrigated agricultural system in the Dry Zone of Sri Lanka is one of the oldest historically evolved agricultural systems in the world. The main component of the system consists of a connected series of man-made tanks constructed in shallow valleys to store, convey and utilize water for paddy cultivation. Up to 10,000 tanks originating from the heydays of ancient kingdoms are still integrated in the current agricultural landscape. During the last two millennia, this indigenous system has undergone many changes in technological, management and socio-cultural norms.
The frequency and severity of uncertain rainfall and climate extremes are projected to increase across many parts of the world. Access to rainfall forecasting information becomes an essential and critical resource that smallholder farmers should use to take advantage of good rains and avoid its adverse effects. In many smallholder farming communities, the reliability and accuracy of the scientific information is questionable and therefore not adequately used to make informed farming decisions.
Participatory plant breeding (PPB) is based on the decentralization of selection in farmers’ fields and their involvement in decision-making at all steps of the breeding scheme. Despite the evidence of its benefits to develop population varieties adapted to diversified and local practices and conditions, such as organic farming, PPB is still not widely used. There is a need to share more broadly how the different programs have overcome scientific, practical, and organizational issues and produced a large number of positive outcomes.
In sustainability research, transdisciplinary (TD) approaches that involve practitioners in the research process have emerged as promising tools for enhancing real-world knowledge and engendering societal change. However, empirical insights into how such participation can contribute to the societal effects of TD research are scant and largely rely on single case studies, neglecting practitioners’ perceptions.
The integration of male and female smallholders in high-end value chains (e.g. those for tree crops like cocoa, oil palm, avocado, and mango), has been promoted throughout the global South as a strategy for poverty alleviation, economic growth, employment generation, gender equality, and improved wellbeing. More critical literature, however, questions the inclusiveness of farmers’ value chain engagement. Despite rapid mainstreaming of inclusiveness in policy discourse, remarkably little literature sheds light on the operationalization of the concept. This paper addresses this gap.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.