Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicara...

Autores: El Mujtar, Veronica Andrea; Zamor, Ronie; Salmerón, Francisco; Guerrero, Adela del Socorro; Laborda, Luciana; Tittonell, Pablo Adrian; Hogan, Rose
Año de publicación: 2023
Idioma: inglés
Tipo de recurso: artículo
Estado: versión publicada
Descripción: CONTEXT: The Tool for Agroecological Performance Evaluation (TAPE) has been developed to assess the degree of transition to agroecology (Step 1) and the agroecological performance (Step 2) of family farms. However, while methods and indicators for Steps 1 and 2 are well established, the phases of system characterization (Step 0) and the delineation of typologies (Step 1-bis) are not prescribed nor standardised. This results in highly heterogeneous, unstructured and narrative information, subject to the background of the field enumerator. Analytical methods are needed to deal with these, in order to arrive at relevant domains of recommendations for policy and development. OBJECTIVE: We assessed whether lexical analysis improves the ability of TAPE to elucidate: i) how household characteristics and contextual factors influence such agroecological transitions, ii) whether a high degree of transition to agroecology (Step 1) translates into better agroecological performances (Step 2), and iii) whether data from Step 0 could improve the delineation of transition typologies. METHODS: We considered 29 rural households located in separate localities across three regions of Nicaragua and analysed the results of applying TAPE to assess their agroecological transition and performance, combining descriptive and lexical analysis. Iramuteq software was used for lexical analysis, including descendent hierarchical classification by Reinert's method and co-occurrence networks. A corpus text based on information provided by desk review and unstructured interviews during Step 0 was used for system description and identification of context variables; while a matrix of categorical variables based on data from Steps 1, 2 and 0 was used to identify agroecological transition typologies. RESULTS AND CONCLUSIONS: Lexical analysis allowed to summarize data, describe farm systems and identify context drivers (Step 0) and patterns from highly heterogeneous, subjective information. The assessment of agroecological transition (Step 1) and performance (Step 2) indicates that the farms studied were at least in transition to agroecology. Farm-level indicators of agroecological transition were more advanced than community-level indicators. Using Reinert's method we identified two main groups, that cluster seven classes of farms, representing different policy and development intervention targets. The differences detected between farms managed by women or men highlight the relevance of including gender perspective on TAPE analyses. SIGNIFICANCE: We show that lexical analysis was useful to deal with unstructured, narrative data describing systems and contexts, and for identifying agroecology recommendation domains based on local actors's perspectives.
EEA Bariloche
Fil: El Mujtar, Veronica Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: El Mujtar, Veronica Andrea. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Zamor, Ronie. Irish Catholic Agency for International Development. Independent Adviser; Nicaragua
Fil: Salmerón, Francisco. Irish Catholic Agency for International Development. Independent Adviser; Nicaragua
Fil: Guerrero, Adela del Socorro. Group for the Promotion of Agroecology; Nicaragua
Fil: Guerrero, Adela del Socorro. Asociación Nochari; Nicaragua
Fil: Laborda, Luciana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Laborda, Luciana. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
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. Université de Montpellier. Centre de coopération Internationale en Recherche Agronomique pour le D'eveloppement (CIRAD). Agroécologie et Intensification Durable (AïDA); Francia
Fil: Tittonell, Pablo Adrian. Groningen University. Groningen Institute of Evolutionary Life Sciences; Países Bajos
Fil: Hogan, Rose. Irish Catholic Agency for International Development; Irlanda
Fuente: Agricultural Systems 209 : 103686. (June 2023)
Materia: Agroecología
Ecosistema
Nicaragua
Tipología de Granjas
Agroecology
Ecosystems
Farm Typology
Nivel de accesibilidad: acceso restringido
Condiciones de uso: http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Institución: Instituto Nacional de Tecnología Agropecuaria
OAI Identificador: oai:localhost:20.500.12123/14692

Acceder

id	INTADig_5cceb0698829eb0a03d96236c16ee087
oai_identifier_str	oai:localhost:20.500.12123/14692
network_acronym_str	INTADig
repository_id_str	l
network_name_str	INTA Digital (INTA)
spelling	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural NicaraguaEl Mujtar, Veronica AndreaZamor, RonieSalmerón, FranciscoGuerrero, Adela del SocorroLaborda, LucianaTittonell, Pablo AdrianHogan, RoseAgroecologíaEcosistemaNicaraguaTipología de GranjasAgroecologyEcosystemsFarm TypologyCONTEXT: The Tool for Agroecological Performance Evaluation (TAPE) has been developed to assess the degree of transition to agroecology (Step 1) and the agroecological performance (Step 2) of family farms. However, while methods and indicators for Steps 1 and 2 are well established, the phases of system characterization (Step 0) and the delineation of typologies (Step 1-bis) are not prescribed nor standardised. This results in highly heterogeneous, unstructured and narrative information, subject to the background of the field enumerator. Analytical methods are needed to deal with these, in order to arrive at relevant domains of recommendations for policy and development. OBJECTIVE: We assessed whether lexical analysis improves the ability of TAPE to elucidate: i) how household characteristics and contextual factors influence such agroecological transitions, ii) whether a high degree of transition to agroecology (Step 1) translates into better agroecological performances (Step 2), and iii) whether data from Step 0 could improve the delineation of transition typologies. METHODS: We considered 29 rural households located in separate localities across three regions of Nicaragua and analysed the results of applying TAPE to assess their agroecological transition and performance, combining descriptive and lexical analysis. Iramuteq software was used for lexical analysis, including descendent hierarchical classification by Reinert's method and co-occurrence networks. A corpus text based on information provided by desk review and unstructured interviews during Step 0 was used for system description and identification of context variables; while a matrix of categorical variables based on data from Steps 1, 2 and 0 was used to identify agroecological transition typologies. RESULTS AND CONCLUSIONS: Lexical analysis allowed to summarize data, describe farm systems and identify context drivers (Step 0) and patterns from highly heterogeneous, subjective information. The assessment of agroecological transition (Step 1) and performance (Step 2) indicates that the farms studied were at least in transition to agroecology. Farm-level indicators of agroecological transition were more advanced than community-level indicators. Using Reinert's method we identified two main groups, that cluster seven classes of farms, representing different policy and development intervention targets. The differences detected between farms managed by women or men highlight the relevance of including gender perspective on TAPE analyses. SIGNIFICANCE: We show that lexical analysis was useful to deal with unstructured, narrative data describing systems and contexts, and for identifying agroecology recommendation domains based on local actors's perspectives.EEA BarilocheFil: El Mujtar, Veronica Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: El Mujtar, Veronica Andrea. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Zamor, Ronie. Irish Catholic Agency for International Development. Independent Adviser; NicaraguaFil: Salmerón, Francisco. Irish Catholic Agency for International Development. Independent Adviser; NicaraguaFil: Guerrero, Adela del Socorro. Group for the Promotion of Agroecology; NicaraguaFil: Guerrero, Adela del Socorro. Asociación Nochari; NicaraguaFil: Laborda, Luciana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Laborda, Luciana. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: 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. Université de Montpellier. Centre de coopération Internationale en Recherche Agronomique pour le D'eveloppement (CIRAD). Agroécologie et Intensification Durable (AïDA); FranciaFil: Tittonell, Pablo Adrian. Groningen University. Groningen Institute of Evolutionary Life Sciences; Países BajosFil: Hogan, Rose. Irish Catholic Agency for International Development; IrlandaElsevier2023-07-04T16:20:06Z2023-07-04T16:20:06Z2023-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/14692https://www.sciencedirect.com/science/article/abs/pii/S0308521X230009140308-521X1873-2267https://doi.org/10.1016/j.agsy.2023.103686Agricultural Systems 209 : 103686. (June 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengNicaragua .......... (nation) (World, North and Central America)7005562info:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-11T10:24:37Zoai:localhost:20.500.12123/14692instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-11 10:24:37.892INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua
title	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua
spellingShingle	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua El Mujtar, Veronica Andrea Agroecología Ecosistema Nicaragua Tipología de Granjas Agroecology Ecosystems Farm Typology
title_short	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua
title_full	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua
title_fullStr	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua
title_full_unstemmed	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua
title_sort	Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicaragua
dc.creator.none.fl_str_mv	El Mujtar, Veronica Andrea Zamor, Ronie Salmerón, Francisco Guerrero, Adela del Socorro Laborda, Luciana Tittonell, Pablo Adrian Hogan, Rose
author	El Mujtar, Veronica Andrea
author_facet	El Mujtar, Veronica Andrea Zamor, Ronie Salmerón, Francisco Guerrero, Adela del Socorro Laborda, Luciana Tittonell, Pablo Adrian Hogan, Rose
author_role	author
author2	Zamor, Ronie Salmerón, Francisco Guerrero, Adela del Socorro Laborda, Luciana Tittonell, Pablo Adrian Hogan, Rose
author2_role	author author author author author author
dc.subject.none.fl_str_mv	Agroecología Ecosistema Nicaragua Tipología de Granjas Agroecology Ecosystems Farm Typology
topic	Agroecología Ecosistema Nicaragua Tipología de Granjas Agroecology Ecosystems Farm Typology
dc.description.none.fl_txt_mv	CONTEXT: The Tool for Agroecological Performance Evaluation (TAPE) has been developed to assess the degree of transition to agroecology (Step 1) and the agroecological performance (Step 2) of family farms. However, while methods and indicators for Steps 1 and 2 are well established, the phases of system characterization (Step 0) and the delineation of typologies (Step 1-bis) are not prescribed nor standardised. This results in highly heterogeneous, unstructured and narrative information, subject to the background of the field enumerator. Analytical methods are needed to deal with these, in order to arrive at relevant domains of recommendations for policy and development. OBJECTIVE: We assessed whether lexical analysis improves the ability of TAPE to elucidate: i) how household characteristics and contextual factors influence such agroecological transitions, ii) whether a high degree of transition to agroecology (Step 1) translates into better agroecological performances (Step 2), and iii) whether data from Step 0 could improve the delineation of transition typologies. METHODS: We considered 29 rural households located in separate localities across three regions of Nicaragua and analysed the results of applying TAPE to assess their agroecological transition and performance, combining descriptive and lexical analysis. Iramuteq software was used for lexical analysis, including descendent hierarchical classification by Reinert's method and co-occurrence networks. A corpus text based on information provided by desk review and unstructured interviews during Step 0 was used for system description and identification of context variables; while a matrix of categorical variables based on data from Steps 1, 2 and 0 was used to identify agroecological transition typologies. RESULTS AND CONCLUSIONS: Lexical analysis allowed to summarize data, describe farm systems and identify context drivers (Step 0) and patterns from highly heterogeneous, subjective information. The assessment of agroecological transition (Step 1) and performance (Step 2) indicates that the farms studied were at least in transition to agroecology. Farm-level indicators of agroecological transition were more advanced than community-level indicators. Using Reinert's method we identified two main groups, that cluster seven classes of farms, representing different policy and development intervention targets. The differences detected between farms managed by women or men highlight the relevance of including gender perspective on TAPE analyses. SIGNIFICANCE: We show that lexical analysis was useful to deal with unstructured, narrative data describing systems and contexts, and for identifying agroecology recommendation domains based on local actors's perspectives. EEA Bariloche Fil: El Mujtar, Veronica Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: El Mujtar, Veronica Andrea. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Zamor, Ronie. Irish Catholic Agency for International Development. Independent Adviser; Nicaragua Fil: Salmerón, Francisco. Irish Catholic Agency for International Development. Independent Adviser; Nicaragua Fil: Guerrero, Adela del Socorro. Group for the Promotion of Agroecology; Nicaragua Fil: Guerrero, Adela del Socorro. Asociación Nochari; Nicaragua Fil: Laborda, Luciana. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Laborda, Luciana. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina 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. Université de Montpellier. Centre de coopération Internationale en Recherche Agronomique pour le D'eveloppement (CIRAD). Agroécologie et Intensification Durable (AïDA); Francia Fil: Tittonell, Pablo Adrian. Groningen University. Groningen Institute of Evolutionary Life Sciences; Países Bajos Fil: Hogan, Rose. Irish Catholic Agency for International Development; Irlanda
description	CONTEXT: The Tool for Agroecological Performance Evaluation (TAPE) has been developed to assess the degree of transition to agroecology (Step 1) and the agroecological performance (Step 2) of family farms. However, while methods and indicators for Steps 1 and 2 are well established, the phases of system characterization (Step 0) and the delineation of typologies (Step 1-bis) are not prescribed nor standardised. This results in highly heterogeneous, unstructured and narrative information, subject to the background of the field enumerator. Analytical methods are needed to deal with these, in order to arrive at relevant domains of recommendations for policy and development. OBJECTIVE: We assessed whether lexical analysis improves the ability of TAPE to elucidate: i) how household characteristics and contextual factors influence such agroecological transitions, ii) whether a high degree of transition to agroecology (Step 1) translates into better agroecological performances (Step 2), and iii) whether data from Step 0 could improve the delineation of transition typologies. METHODS: We considered 29 rural households located in separate localities across three regions of Nicaragua and analysed the results of applying TAPE to assess their agroecological transition and performance, combining descriptive and lexical analysis. Iramuteq software was used for lexical analysis, including descendent hierarchical classification by Reinert's method and co-occurrence networks. A corpus text based on information provided by desk review and unstructured interviews during Step 0 was used for system description and identification of context variables; while a matrix of categorical variables based on data from Steps 1, 2 and 0 was used to identify agroecological transition typologies. RESULTS AND CONCLUSIONS: Lexical analysis allowed to summarize data, describe farm systems and identify context drivers (Step 0) and patterns from highly heterogeneous, subjective information. The assessment of agroecological transition (Step 1) and performance (Step 2) indicates that the farms studied were at least in transition to agroecology. Farm-level indicators of agroecological transition were more advanced than community-level indicators. Using Reinert's method we identified two main groups, that cluster seven classes of farms, representing different policy and development intervention targets. The differences detected between farms managed by women or men highlight the relevance of including gender perspective on TAPE analyses. SIGNIFICANCE: We show that lexical analysis was useful to deal with unstructured, narrative data describing systems and contexts, and for identifying agroecology recommendation domains based on local actors's perspectives.
publishDate	2023
dc.date.none.fl_str_mv	2023-07-04T16:20:06Z 2023-07-04T16:20:06Z 2023-06
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/20.500.12123/14692 https://www.sciencedirect.com/science/article/abs/pii/S0308521X23000914 0308-521X 1873-2267 https://doi.org/10.1016/j.agsy.2023.103686
url	http://hdl.handle.net/20.500.12123/14692 https://www.sciencedirect.com/science/article/abs/pii/S0308521X23000914 https://doi.org/10.1016/j.agsy.2023.103686
identifier_str_mv	0308-521X 1873-2267
dc.language.none.fl_str_mv	eng
language	eng
dc.rights.none.fl_str_mv	info:eu-repo/semantics/restrictedAccess 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	restrictedAccess
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	Nicaragua .......... (nation) (World, North and Central America) 7005562
dc.publisher.none.fl_str_mv	Elsevier
publisher.none.fl_str_mv	Elsevier
dc.source.none.fl_str_mv	Agricultural Systems 209 : 103686. (June 2023) 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
_version_	1842975517513351168
score	12.993085

Lexical analysis improves the identification of contextual drivers and farm typologies in the assessment of transitions to agroecology through TAPE – A case study from rural Nicara...

Publicaciones similares