Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.

Detalhes bibliográficos
Autor(a) principal: DOU, Y.
Data de Publicação: 2023
Outros Autores: SILVA, R. F. B. da, BATISTELLA, M., TORRES, S., MORAN, E., LIU, J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155977
https://doi.org/10.1016/j.landusepol.2023.106862
Resumo: ABSTRACT. Agricultural trade and climate change have altered land cover and land use worldwide. For example, the recent growth of international soybean demand has been associated with 1.3 Mha primary Amazon forest loss and up to 13-fold increase in double-cropping areas in Brazil. Many studies have tried to understand which and how global and local drivers affect deforestation and agricultural intensification processes at the landscape level, yet few have incorporated the direct perspectives of actual land users. Under the influence of a variety of social, economic, and cultural factors, producers are the ones who make decisions that will cause a significant impact on the environment. In this paper, we adopted Fuzzy Cognitive Maps (FCMs), a semi-quantitative modeling approach to represent complex decision-making systems, and we modeled land use and agricultural management perceptions of 27 crop producers from the three states - Mato Grosso, Goi´as, and Tocantins - important soybean production and export areas in Brazil. We analyzed individual models and integrated them into aggregated regional models to compare individual and regional differences among the producers. In addition, we simulated how producers from the three states will make land-use decisions under more trade and extreme climatic events scenarios using the FCMs. Our results indicate that extreme climatic events are among the most important factors producers consider when it comes to the sustainability of their operations. Climate change scenarios have a stronger overall impact than trade scenarios on local land-use changes, causing a 12% reduction in total agricultural production. The improvement of technology packages can effectively mitigate climate change risks and has an overall positive impact on land-use intensification than expansion. On the other hand, sharing accurate climate information and socio-economic improvements such as credits have larger impacts on agricultural expansion than productivity itself. Moreover, the model complexity shows differences among the three states. Soybean trade has more weight in the perception of producers in Goi´as and Tocantins than Mato Grosso. Based on the results, we discuss the importance of co-designing place-based, alternative policies and mitigation options for both agricultural intensification and environmental conservation, taken into consideration through the intertwined global and local forces.
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spelling Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.Comércio internacionalMudança de uso da terra agrícolaMapas cognitivos fuzzyCenáriosMudanças climáticasFuzzy cognitive mapsStakeholder engagementScenariosUso da TerraSojaBrazilInternational tradeLand use changeClimate changeSoybeansABSTRACT. Agricultural trade and climate change have altered land cover and land use worldwide. For example, the recent growth of international soybean demand has been associated with 1.3 Mha primary Amazon forest loss and up to 13-fold increase in double-cropping areas in Brazil. Many studies have tried to understand which and how global and local drivers affect deforestation and agricultural intensification processes at the landscape level, yet few have incorporated the direct perspectives of actual land users. Under the influence of a variety of social, economic, and cultural factors, producers are the ones who make decisions that will cause a significant impact on the environment. In this paper, we adopted Fuzzy Cognitive Maps (FCMs), a semi-quantitative modeling approach to represent complex decision-making systems, and we modeled land use and agricultural management perceptions of 27 crop producers from the three states - Mato Grosso, Goi´as, and Tocantins - important soybean production and export areas in Brazil. We analyzed individual models and integrated them into aggregated regional models to compare individual and regional differences among the producers. In addition, we simulated how producers from the three states will make land-use decisions under more trade and extreme climatic events scenarios using the FCMs. Our results indicate that extreme climatic events are among the most important factors producers consider when it comes to the sustainability of their operations. Climate change scenarios have a stronger overall impact than trade scenarios on local land-use changes, causing a 12% reduction in total agricultural production. The improvement of technology packages can effectively mitigate climate change risks and has an overall positive impact on land-use intensification than expansion. On the other hand, sharing accurate climate information and socio-economic improvements such as credits have larger impacts on agricultural expansion than productivity itself. Moreover, the model complexity shows differences among the three states. Soybean trade has more weight in the perception of producers in Goi´as and Tocantins than Mato Grosso. Based on the results, we discuss the importance of co-designing place-based, alternative policies and mitigation options for both agricultural intensification and environmental conservation, taken into consideration through the intertwined global and local forces.YUE DOU, UNIVERSITY OF TWENTE, MICHIGAN STATE UNIVERSITY, CHINESE ACADEMY OF AGRICULTURAL SCIENCES; RAMON FELIPE BICUDO DA SILVA, MICHIGAN STATE UNIVERSITY, UNIVERSIDADE ESTADUAL DE CAMPINAS; MATEUS BATISTELLA, CNPTIA, UNIVERSIDADE ESTADUAL DE CAMPINAS; SARA TORRES, NEW MEXICO WATER RESOURCES RESEARCH INSTITUTE, NEW MEXICO STATE UNIVERSITY; EMILIO MORAN, MICHIGAN STATE UNIVERSITY; JIANGUO LIU, MICHIGAN STATE UNIVERSITY.DOU, Y.SILVA, R. F. B. daBATISTELLA, M.TORRES, S.MORAN, E.LIU, J.2023-08-18T11:23:45Z2023-08-18T11:23:45Z2023-08-182023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleLand Use Policy, v. 133, 106862, Oct. 2023.0264-8377http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155977https://doi.org/10.1016/j.landusepol.2023.106862enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-08-18T11:23:45Zoai:www.alice.cnptia.embrapa.br:doc/1155977Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-08-18T11:23:45falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-08-18T11:23:45Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
title Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
spellingShingle Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
DOU, Y.
Comércio internacional
Mudança de uso da terra agrícola
Mapas cognitivos fuzzy
Cenários
Mudanças climáticas
Fuzzy cognitive maps
Stakeholder engagement
Scenarios
Uso da Terra
Soja
Brazil
International trade
Land use change
Climate change
Soybeans
title_short Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
title_full Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
title_fullStr Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
title_full_unstemmed Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
title_sort Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
author DOU, Y.
author_facet DOU, Y.
SILVA, R. F. B. da
BATISTELLA, M.
TORRES, S.
MORAN, E.
LIU, J.
author_role author
author2 SILVA, R. F. B. da
BATISTELLA, M.
TORRES, S.
MORAN, E.
LIU, J.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv YUE DOU, UNIVERSITY OF TWENTE, MICHIGAN STATE UNIVERSITY, CHINESE ACADEMY OF AGRICULTURAL SCIENCES; RAMON FELIPE BICUDO DA SILVA, MICHIGAN STATE UNIVERSITY, UNIVERSIDADE ESTADUAL DE CAMPINAS; MATEUS BATISTELLA, CNPTIA, UNIVERSIDADE ESTADUAL DE CAMPINAS; SARA TORRES, NEW MEXICO WATER RESOURCES RESEARCH INSTITUTE, NEW MEXICO STATE UNIVERSITY; EMILIO MORAN, MICHIGAN STATE UNIVERSITY; JIANGUO LIU, MICHIGAN STATE UNIVERSITY.
dc.contributor.author.fl_str_mv DOU, Y.
SILVA, R. F. B. da
BATISTELLA, M.
TORRES, S.
MORAN, E.
LIU, J.
dc.subject.por.fl_str_mv Comércio internacional
Mudança de uso da terra agrícola
Mapas cognitivos fuzzy
Cenários
Mudanças climáticas
Fuzzy cognitive maps
Stakeholder engagement
Scenarios
Uso da Terra
Soja
Brazil
International trade
Land use change
Climate change
Soybeans
topic Comércio internacional
Mudança de uso da terra agrícola
Mapas cognitivos fuzzy
Cenários
Mudanças climáticas
Fuzzy cognitive maps
Stakeholder engagement
Scenarios
Uso da Terra
Soja
Brazil
International trade
Land use change
Climate change
Soybeans
description ABSTRACT. Agricultural trade and climate change have altered land cover and land use worldwide. For example, the recent growth of international soybean demand has been associated with 1.3 Mha primary Amazon forest loss and up to 13-fold increase in double-cropping areas in Brazil. Many studies have tried to understand which and how global and local drivers affect deforestation and agricultural intensification processes at the landscape level, yet few have incorporated the direct perspectives of actual land users. Under the influence of a variety of social, economic, and cultural factors, producers are the ones who make decisions that will cause a significant impact on the environment. In this paper, we adopted Fuzzy Cognitive Maps (FCMs), a semi-quantitative modeling approach to represent complex decision-making systems, and we modeled land use and agricultural management perceptions of 27 crop producers from the three states - Mato Grosso, Goi´as, and Tocantins - important soybean production and export areas in Brazil. We analyzed individual models and integrated them into aggregated regional models to compare individual and regional differences among the producers. In addition, we simulated how producers from the three states will make land-use decisions under more trade and extreme climatic events scenarios using the FCMs. Our results indicate that extreme climatic events are among the most important factors producers consider when it comes to the sustainability of their operations. Climate change scenarios have a stronger overall impact than trade scenarios on local land-use changes, causing a 12% reduction in total agricultural production. The improvement of technology packages can effectively mitigate climate change risks and has an overall positive impact on land-use intensification than expansion. On the other hand, sharing accurate climate information and socio-economic improvements such as credits have larger impacts on agricultural expansion than productivity itself. Moreover, the model complexity shows differences among the three states. Soybean trade has more weight in the perception of producers in Goi´as and Tocantins than Mato Grosso. Based on the results, we discuss the importance of co-designing place-based, alternative policies and mitigation options for both agricultural intensification and environmental conservation, taken into consideration through the intertwined global and local forces.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-18T11:23:45Z
2023-08-18T11:23:45Z
2023-08-18
2023
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Land Use Policy, v. 133, 106862, Oct. 2023.
0264-8377
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155977
https://doi.org/10.1016/j.landusepol.2023.106862
identifier_str_mv Land Use Policy, v. 133, 106862, Oct. 2023.
0264-8377
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155977
https://doi.org/10.1016/j.landusepol.2023.106862
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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