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Mobilizing participatory approaches to introduce transdisciplinary research elements when exploring the interface of commodity crop production and food security in Sub-Saharan Africa

The production of commodity crops such as oil palm, sugarcane, cotton or cocoa has important ramifications for sustainability at multiple spatial and temporal scales. Food security is among the most heavily debated impacts of commodity crop production, especially in developing regions characterized by high rates of malnutrition and food insecurity such as Sub-Saharan Africa (SSA). Studies have identified diverse pathways through which commodity crop production can have positive or negative impacts on the different pillars of food security. This Methodology paper outlines how different participatory approaches can be mobilized to introduce transdisciplinarity research elements when exploring the adoption and impacts of commodity crop production, especially in developing regions such as SSA. It draws from the lessons learned during the design and implementation of five research projects that explored the food security outcomes of commodity crop production in different countries of SSA. Collectively these research projects mobilized very diverse participatory approaches such as expert interviews, Focus Group Discussions (FGDs), participatory mapping, mediated modeling, and participatory scenario analysis. Beyond being instrumental for data collection, these participatory approaches served multiple other research functions. In particular they helped (a) identify research priorities, knowledge gaps, and underlying phenomena, (b) formalize impact mechanisms and develop methodology, and (c) interpret data and validate findings. Furthermore, they contributed to the credibility and relevance of the research, and to a lesser extent to the legitimacy and effectiveness, all of which are considered important principles of transdisciplinary research. Through these diverse contributions they were instrumental in integrating valuable insights from stakeholders holding very complementary expertise in commodity crop value chains at different scales. In this sense they can act as valuable entry points to introduce transdisciplinary research elements in projects exploring the interface of food security and commodity crop value chains (or food systems more broadly), especially in contexts that truly transdisciplinary research is not feasible or desirable.
Industrial crops, Transdisciplinarité, expert interviews, Entretien d'experts, Economics, Credibility, FOS: Political science, Agricultural Innovation and Livelihood Diversification, Participatory action research, Macroeconomics, Agricultural and Biological Sciences, Biomass and Bioenergy in the Bioeconomy, Sociology, [SHS.STAT] Humanities and Social Sciences/Methods and statistics, Mediated modeling, TX341-641, Business, Production (economics), Environmental resource management, Expert interviews, Political science, Environmental planning, [SHS.STAT]Humanities and Social Sciences/Methods and statistics, Geography, Ecology, [SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture, economy and politics, Life Sciences, Agriculture, TP368-456, sustainability, Social science, FOS: Sociology, Transdisciplinarity, Livelihood Diversification, Citizen journalism, Sustainability, Archaeology, Focus group discussions, Culture de rapport, General Agricultural and Biological Sciences, Commodity chain, Analyse participative de scénarios, Focus Group Discussions, 330, Participatory scenario analysis, FOS: Law, Cash crops, Food processing and manufacture, transdisciplinary, [SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture, participatory scenario analysis, Biology, economy and politics, Durabilité, Economic growth, Culture industrielle, Nutrition. Foods and food supply, Food security, Groupe de discussion, mediated modeling, Modélisation, Assistance par modèle, Commodity, FOS: Biological sciences, Transdisciplinary, Law, Finance, Agroecology and Global Food Systems
Industrial crops, Transdisciplinarité, expert interviews, Entretien d'experts, Economics, Credibility, FOS: Political science, Agricultural Innovation and Livelihood Diversification, Participatory action research, Macroeconomics, Agricultural and Biological Sciences, Biomass and Bioenergy in the Bioeconomy, Sociology, [SHS.STAT] Humanities and Social Sciences/Methods and statistics, Mediated modeling, TX341-641, Business, Production (economics), Environmental resource management, Expert interviews, Political science, Environmental planning, [SHS.STAT]Humanities and Social Sciences/Methods and statistics, Geography, Ecology, [SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture, economy and politics, Life Sciences, Agriculture, TP368-456, sustainability, Social science, FOS: Sociology, Transdisciplinarity, Livelihood Diversification, Citizen journalism, Sustainability, Archaeology, Focus group discussions, Culture de rapport, General Agricultural and Biological Sciences, Commodity chain, Analyse participative de scénarios, Focus Group Discussions, 330, Participatory scenario analysis, FOS: Law, Cash crops, Food processing and manufacture, transdisciplinary, [SDV.SA.AEP]Life Sciences [q-bio]/Agricultural sciences/Agriculture, participatory scenario analysis, Biology, economy and politics, Durabilité, Economic growth, Culture industrielle, Nutrition. Foods and food supply, Food security, Groupe de discussion, mediated modeling, Modélisation, Assistance par modèle, Commodity, FOS: Biological sciences, Transdisciplinary, Law, Finance, Agroecology and Global Food Systems
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
