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

Autores
Aravindakshan, Sreejith; Krupnik, Timothy J.; Shahrin, Sumona; Tittonell, Pablo Adrian; Siddique, Kadambot H. M.; Ditzler, Lenora; Groot, Jeroen C.J.
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Environment, Development and Sustainability 23 : 16588–16616 (2021)
Materia
Agroecosistemas
Objetivos de Desarrollo Sostenible
Sostenibilidad
Agricultura Sostenible
Agroecosystems
Sustainable Development Goals
Sustainability
Sustainable Agriculture
Percepciones de los Agricultores
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/10770

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network_name_str INTA Digital (INTA)
spelling Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal BangladeshAravindakshan, SreejithKrupnik, Timothy J.Shahrin, SumonaTittonell, Pablo AdrianSiddique, Kadambot H. M.Ditzler, LenoraGroot, Jeroen C.J.AgroecosistemasObjetivos de Desarrollo SostenibleSostenibilidadAgricultura SostenibleAgroecosystemsSustainable Development GoalsSustainabilitySustainable AgriculturePercepciones de los AgricultoresAppreciating 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 BarilocheFil: Aravindakshan, Sreejith. Wageningen University. Farming Systems Ecology Group; HolandaFil: Krupnik, Timothy J. International Maize and Wheat Improvement Center; BangladeshFil: Shahrin, Sumona. Wageningen University. Farming Systems Ecology Group; HolandaFil: Shahrin, Sumona. International Maize and Wheat Improvement Center; BangladeshFil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Tittonell, Pablo Adrian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Tittonell, Pablo Adrian. Groningen University. Groningen Institute of Evolutionary Life Sciences; HolandaFil: Siddique, Kadambot H. M. University of Western Australia. The UWA Institute of Agriculture; AustraliaFil: Ditzler, Lenora. Wageningen University. Farming Systems Ecology Group; HolandaFil: Groot, Jeroen C.J. Wageningen University. Farming Systems Ecology Group; HolandaFil: Groot, Jeroen C.J. Bioversity International; ItaliaFil: Groot, Jeroen C.J. International Maize and Wheat Improvement Center; MexicoSpringer2021-11-15T10:33:38Z2021-11-15T10:33:38Z2021-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/10770https://link.springer.com/article/10.1007/s10668-021-01342-y1387-585X1573-2975https://doi.org/10.1007/s10668-021-01342-yEnvironment, Development and Sustainability 23 : 16588–16616 (2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengBangladesh .......... (nation) (World, Asia)1000105info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:45:24Zoai:localhost:20.500.12123/10770instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:45:24.989INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
title Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
spellingShingle Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
Aravindakshan, Sreejith
Agroecosistemas
Objetivos de Desarrollo Sostenible
Sostenibilidad
Agricultura Sostenible
Agroecosystems
Sustainable Development Goals
Sustainability
Sustainable Agriculture
Percepciones de los Agricultores
title_short Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
title_full Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
title_fullStr Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
title_full_unstemmed Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
title_sort Socio‑cognitive constraints and opportunities for sustainable intensification in South Asia: insights from fuzzy cognitive mapping in coastal Bangladesh
dc.creator.none.fl_str_mv Aravindakshan, Sreejith
Krupnik, Timothy J.
Shahrin, Sumona
Tittonell, Pablo Adrian
Siddique, Kadambot H. M.
Ditzler, Lenora
Groot, Jeroen C.J.
author Aravindakshan, Sreejith
author_facet Aravindakshan, Sreejith
Krupnik, Timothy J.
Shahrin, Sumona
Tittonell, Pablo Adrian
Siddique, Kadambot H. M.
Ditzler, Lenora
Groot, Jeroen C.J.
author_role author
author2 Krupnik, Timothy J.
Shahrin, Sumona
Tittonell, Pablo Adrian
Siddique, Kadambot H. M.
Ditzler, Lenora
Groot, Jeroen C.J.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Agroecosistemas
Objetivos de Desarrollo Sostenible
Sostenibilidad
Agricultura Sostenible
Agroecosystems
Sustainable Development Goals
Sustainability
Sustainable Agriculture
Percepciones de los Agricultores
topic Agroecosistemas
Objetivos de Desarrollo Sostenible
Sostenibilidad
Agricultura Sostenible
Agroecosystems
Sustainable Development Goals
Sustainability
Sustainable Agriculture
Percepciones de los Agricultores
dc.description.none.fl_txt_mv 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
description 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-15T10:33:38Z
2021-11-15T10:33:38Z
2021-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/10770
https://link.springer.com/article/10.1007/s10668-021-01342-y
1387-585X
1573-2975
https://doi.org/10.1007/s10668-021-01342-y
url http://hdl.handle.net/20.500.12123/10770
https://link.springer.com/article/10.1007/s10668-021-01342-y
https://doi.org/10.1007/s10668-021-01342-y
identifier_str_mv 1387-585X
1573-2975
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Bangladesh .......... (nation) (World, Asia)
1000105
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Environment, Development and Sustainability 23 : 16588–16616 (2021)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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