Land-use changes in distant places: implementation of a telecoupled agent-based model.

Detalhes bibliográficos
Autor(a) principal: DOU, Y.
Data de Publicação: 2020
Outros Autores: YAO, G., HERZBERGER, A., SILVA, R. F. B. da, SONG, Q., HOVIS, C., BATISTELLA, M., MORAN, E., WU, W., 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/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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spelling 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
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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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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