Socio-cognitive constraints and opportunities for sustainable intensification in South Asia: Insights from fuzzy cognitive mapping in coastal Bangladesh

Autor: Sumona Shahrin, Lenora Ditzler, Sreejith Aravindakshan, Kadambot H. M. Siddique, Timothy J. Krupnik, Jeroen C.J. Groot, Pablo Tittonell
Přispěvatelé: Tittonell group
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Economics and Econometrics
Semi-quantitative approach
010504 meteorology & atmospheric sciences
F08 - Systèmes et modes de culture
Geography
Planning and Development
Sustainable Development Goals
Systems analysis
Context (language use)
010501 environmental sciences
Management
Monitoring
Policy and Law
01 natural sciences
Article
F01 - Culture des plantes
Sustainable agriculture
Agroecosystems
Environmental planning
Agricultural extension
0105 earth and related environmental sciences
Sustainable development
Agricultura Sostenible
Agroecosistemas
Percepciones de los Agricultores
Food security
Poverty
business.industry
Sustainable intensification
Farm Systems Ecology Group
PE&RC
Sostenibilidad
Sustainable Agriculture
Socio-cognitive model
Geography
Sustainability
Agriculture
Winding stairs
Objetivos de Desarrollo Sostenible
business
Zdroj: Environment, Development and Sustainability
Environment, Development and Sustainability 23 (2021) 11
Environment, Development and Sustainability, 23(11), 16588-16616
Environment, Development and Sustainability 23 : 16588–16616 (2021)
INTA Digital (INTA)
Instituto Nacional de Tecnología Agropecuaria
instacron:INTA
ISSN: 1387-585X
Popis: Appreciating and dealing with the plurality of farmers’ perceptions and their contextual knowledge and perspectives of the functioning and performance of their agroecosystems— in other words, their ‘mental models’—is central for appropriate and sustainable agricultural development. In this respect, the sustainable development goals (SDGs) aim to eradicate poverty and food insecurity by 2030 by envisioning social inclusivity that incorporates the preferences and knowledge of key stakeholders, including farmers. Agricultural development interventions and policies directed at sustainable intensification (SI), however, do not sufficiently account for farmers’ perceptions, beliefs, priorities, or interests. Considering two contrasting agroecological systems in coastal Bangladesh, we used a fuzzy cognitive mapping (FCM)-based simulation and sensitivity analysis of mental models of respondents of different farm types from 240 farm households. The employed FCM mental models were able to (1) capture farmers’ perception of farming system concepts and relationships for each farm type and (2) assess the impact of external interventions (drivers) on cropping intensification and food security. We decomposed the FCM models’ variance into the first-order sensitivity index (SVI) and total sensitivity index (TSI) using a winding stairs algorithm. Both within and outside polder areas, the highest TSIs (35–68%) were observed for effects of agricultural extension on changes in other concepts in the map, particularly food security and income (SI indicators), indicating the importance of extension programs for SI. Outside polders, drainage and micro-credit were also influential; within polders, the availability of micro-credit appears to affect farmer perceptions of SI indicators more than drainage. This study demonstrated the importance of reflection on the differing perspectives of farmers both within and outside polders to identify entry points for development interventions. In addition, the study underscores the need for micro-farming systems-level research to assess the context-based feasibility of introduced interventions as perceived by farmers of different farm types. Estación Experimental Agropecuaria Bariloche Fil: Aravindakshan, Sreejith. Wageningen University. Farming Systems Ecology Group; Holanda Fil: Krupnik, Timothy J. International Maize and Wheat Improvement Center; Bangladesh Fil: Shahrin, Sumona. Wageningen University. Farming Systems Ecology Group; Holanda Fil: Shahrin, Sumona. International Maize and Wheat Improvement Center; Bangladesh Fil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Tittonell, Pablo Adrian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Tittonell, Pablo Adrian. Groningen University. Groningen Institute of Evolutionary Life Sciences; Holanda Fil: Siddique, Kadambot H. M. University of Western Australia. The UWA Institute of Agriculture; Australia Fil: Ditzler, Lenora. Wageningen University. Farming Systems Ecology Group; Holanda Fil: Groot, Jeroen C.J. Wageningen University. Farming Systems Ecology Group; Holanda Fil: Groot, Jeroen C.J. Bioversity International; Italia Fil: Groot, Jeroen C.J. International Maize and Wheat Improvement Center; Mexico
Databáze: OpenAIRE
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