Land-use changes in distant places: implementation of a telecoupled agent-based model.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/1124348 |
Resumo: | Abstract: International agricultural trade has changed land uses in trading countries, altering global food security and environmental sustainability. Studies have concluded that local land-use drivers are largely from global sources (e.g., trade increases deforestation in exporting countries). However, little is known about how these local land-use changes affect distant locations, namely the feedback between them. Yet these distant impacts and feedbacks can be significant for governing local land systems. The framework of telecoupling (i.e., socioeconomic-environmental interactions between distant places) has been shown to be an effective conceptual tool to study international trade and the associated socio-economic and environmental impacts. However, a systems simulation tool to quantify the telecoupled causes and effects is still lacking. Here, we construct a new type of agent-based model (ABM) that can simulate land-use changes at multiple distant places (namely TeleABM, telecoupled agent-based model). We use soybean trade between Brazil and China as an example, where Brazil is the sending system and China is the receiving system because they are the world?s largest soybean exporter and importer respectively. We select one representative county in each country to calibrate and validate the model with spatio-temporal analysis of historical land-use changes and the empirical analysis of household survey data. We describe the model following the ODD+D protocol, and validate the model results in each location respectively. We then illustrate how the aggregated farmer agents? land-use behaviors in the sending system result in land-use changes in the receiving system, and vice versa. One scenario example (i.e., a high-tariff scenario) is given to demonstrate the results of TeleABM. Such a model allows us to advance the understanding of telecoupling features and the influence on land system science, and to test hypotheses about complex coupled human-natural systems (e.g., cascading effect). |
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Land-use changes in distant places: implementation of a telecoupled agent-based model.TelecouplingAgent-Based ModelLand SystemLand-Use ChangeSoybean TradeODD+DUso da TerraAbstract: International agricultural trade has changed land uses in trading countries, altering global food security and environmental sustainability. Studies have concluded that local land-use drivers are largely from global sources (e.g., trade increases deforestation in exporting countries). However, little is known about how these local land-use changes affect distant locations, namely the feedback between them. Yet these distant impacts and feedbacks can be significant for governing local land systems. The framework of telecoupling (i.e., socioeconomic-environmental interactions between distant places) has been shown to be an effective conceptual tool to study international trade and the associated socio-economic and environmental impacts. However, a systems simulation tool to quantify the telecoupled causes and effects is still lacking. Here, we construct a new type of agent-based model (ABM) that can simulate land-use changes at multiple distant places (namely TeleABM, telecoupled agent-based model). We use soybean trade between Brazil and China as an example, where Brazil is the sending system and China is the receiving system because they are the world?s largest soybean exporter and importer respectively. We select one representative county in each country to calibrate and validate the model with spatio-temporal analysis of historical land-use changes and the empirical analysis of household survey data. We describe the model following the ODD+D protocol, and validate the model results in each location respectively. We then illustrate how the aggregated farmer agents? land-use behaviors in the sending system result in land-use changes in the receiving system, and vice versa. One scenario example (i.e., a high-tariff scenario) is given to demonstrate the results of TeleABM. Such a model allows us to advance the understanding of telecoupling features and the influence on land system science, and to test hypotheses about complex coupled human-natural systems (e.g., cascading effect).Article 11.YUE DOU, Michigan State University, Vrije Universiteit Amsterdam; GUOLIN YAO, University of Maryland; ANNA HERZBERGER, Michigan State University; RAMON FELIPE BICUDO DA SILVA, Unicamp; QIAN SONG, Unicamp; CIARA HOVIS, Michigan State University; MATEUS BATISTELLA, CNPTIA, Unicamp; EMILIO MORAN, Michigan State University; WENBIN WU, Unicamp; JIANGUO LIU, Michigan State University.DOU, Y.YAO, G.HERZBERGER, A.SILVA, R. F. B. daSONG, Q.HOVIS, C.BATISTELLA, M.MORAN, E.WU, W.LIU, J.2020-08-14T11:11:17Z2020-08-14T11:11:17Z2020-08-132020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of Artificial Societies and Social Simulation, v. 23, n. 1, 2020.http://www.alice.cnptia.embrapa.br/alice/handle/doc/112434810.18564/jasss.4211enginfo: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:EMBRAPA2020-08-14T11:11:24Zoai:www.alice.cnptia.embrapa.br:doc/1124348Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-08-14T11:11:24Repositório 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 |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
title |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
spellingShingle |
Land-use changes in distant places: implementation of a telecoupled agent-based model. DOU, Y. Telecoupling Agent-Based Model Land System Land-Use Change Soybean Trade ODD+D Uso da Terra |
title_short |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
title_full |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
title_fullStr |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
title_full_unstemmed |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
title_sort |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
author |
DOU, Y. |
author_facet |
DOU, Y. YAO, G. HERZBERGER, A. SILVA, R. F. B. da SONG, Q. HOVIS, C. BATISTELLA, M. MORAN, E. WU, W. LIU, J. |
author_role |
author |
author2 |
YAO, G. HERZBERGER, A. SILVA, R. F. B. da SONG, Q. HOVIS, C. BATISTELLA, M. MORAN, E. WU, W. LIU, J. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
YUE DOU, Michigan State University, Vrije Universiteit Amsterdam; GUOLIN YAO, University of Maryland; ANNA HERZBERGER, Michigan State University; RAMON FELIPE BICUDO DA SILVA, Unicamp; QIAN SONG, Unicamp; CIARA HOVIS, Michigan State University; MATEUS BATISTELLA, CNPTIA, Unicamp; EMILIO MORAN, Michigan State University; WENBIN WU, Unicamp; JIANGUO LIU, Michigan State University. |
dc.contributor.author.fl_str_mv |
DOU, Y. YAO, G. HERZBERGER, A. SILVA, R. F. B. da SONG, Q. HOVIS, C. BATISTELLA, M. MORAN, E. WU, W. LIU, J. |
dc.subject.por.fl_str_mv |
Telecoupling Agent-Based Model Land System Land-Use Change Soybean Trade ODD+D Uso da Terra |
topic |
Telecoupling Agent-Based Model Land System Land-Use Change Soybean Trade ODD+D Uso da Terra |
description |
Abstract: International agricultural trade has changed land uses in trading countries, altering global food security and environmental sustainability. Studies have concluded that local land-use drivers are largely from global sources (e.g., trade increases deforestation in exporting countries). However, little is known about how these local land-use changes affect distant locations, namely the feedback between them. Yet these distant impacts and feedbacks can be significant for governing local land systems. The framework of telecoupling (i.e., socioeconomic-environmental interactions between distant places) has been shown to be an effective conceptual tool to study international trade and the associated socio-economic and environmental impacts. However, a systems simulation tool to quantify the telecoupled causes and effects is still lacking. Here, we construct a new type of agent-based model (ABM) that can simulate land-use changes at multiple distant places (namely TeleABM, telecoupled agent-based model). We use soybean trade between Brazil and China as an example, where Brazil is the sending system and China is the receiving system because they are the world?s largest soybean exporter and importer respectively. We select one representative county in each country to calibrate and validate the model with spatio-temporal analysis of historical land-use changes and the empirical analysis of household survey data. We describe the model following the ODD+D protocol, and validate the model results in each location respectively. We then illustrate how the aggregated farmer agents? land-use behaviors in the sending system result in land-use changes in the receiving system, and vice versa. One scenario example (i.e., a high-tariff scenario) is given to demonstrate the results of TeleABM. Such a model allows us to advance the understanding of telecoupling features and the influence on land system science, and to test hypotheses about complex coupled human-natural systems (e.g., cascading effect). |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-14T11:11:17Z 2020-08-14T11:11:17Z 2020-08-13 2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Journal of Artificial Societies and Social Simulation, v. 23, n. 1, 2020. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124348 10.18564/jasss.4211 |
identifier_str_mv |
Journal of Artificial Societies and Social Simulation, v. 23, n. 1, 2020. 10.18564/jasss.4211 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124348 |
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) |
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) |
repository.name.fl_str_mv |
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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1817695594695622656 |