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dc.contributor.author
Aravindakshan, Sreejith
dc.contributor.author
Krupnik, Timothy J.
dc.contributor.author
Shahrin, Sumona
dc.contributor.author
Tittonell, Pablo
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Siddique, Kadambot H. M.
dc.contributor.author
Ditzler, Lenora
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Groot, Jeroen C. J.
dc.date.available
2023-08-16T10:23:40Z
dc.date.issued
2021-11
dc.identifier.citation
Aravindakshan, Sreejith; Krupnik, Timothy J.; Shahrin, Sumona; Tittonell, Pablo; Siddique, Kadambot H. M.; et al.; Socio-cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh; Springer; Environment, Development And Sustainability; 23; 11; 11-2021; 16588-16616
dc.identifier.issn
1387-585X
dc.identifier.uri
http://hdl.handle.net/11336/208448
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
SEMI-QUANTITATIVE APPROACH
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SOCIO-COGNITIVE MODEL
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SUSTAINABLE INTENSIFICATION
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SYSTEMS ANALYSIS
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WINDING STAIRS
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Otras Ciencias Agrícolas
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dc.subject.classification
Otras Ciencias Agrícolas
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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dc.title
Socio-cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-08-15T23:12:18Z
dc.journal.volume
23
dc.journal.number
11
dc.journal.pagination
16588-16616
dc.journal.pais
Países Bajos
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dc.description.fil
Fil: Aravindakshan, Sreejith. University of Agriculture Wageningen; Países Bajos
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Fil: Krupnik, Timothy J.. International Maize And Wheat Improvement Center; Bangladesh
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Fil: Shahrin, Sumona. University of Agriculture Wageningen; Países Bajos
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Fil: Tittonell, Pablo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
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Fil: Siddique, Kadambot H. M.. University of Western Australia; Australia
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Fil: Ditzler, Lenora. University of Western Australia; Australia
dc.description.fil
Fil: Groot, Jeroen C. J.. University of Western Australia; Australia
dc.journal.title
Environment, Development And Sustainability
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s10668-021-01342-y
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