Mapping crop producer perceptions: the role of global drivers on local agricultural land use in Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
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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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 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
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EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503548397944832 |