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| 16. |  | ZHOU, Z.; WEI, L.; HAUNG, T.; CHEN, C.; YUAN, X.; GUE, Q.; ZHAN, S.; LIU, J. Approaches to early predicting mature rubber yield potential at juvenile stage and their theorectical basis. s.l., South China Academic of Tropical Crops, s.d. 37 p.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 18. | | SHENOY, S. F.; CHOWANADISAI, W.; SHARMAN, E.; KEEN, C. L.; LIU, J.; RUCKER, R. B. Biofactors in food promote health by enhancing mitochondrial function. California Agriculture, Richmond, v. 65, n. 3, p. 141-147, jul./set. 2011. il., color.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 20. | | WANG, Z.; MARTHA JUNIOR, G. B.; LIU, J.; LIMA, C. Z. de; HERTEL, T. Transportation cost, agricultural production and cropland expansion in Brazil: a multi-scale analysis. In: ANNUAL CONFERENCE ON GLOBAL ECONOMIC ANALYSIS, 25., 2022. Accelerating economic transformation, diversification and job creation. West Lafayette: Center for Global Trade Analysis, 2022. p. 1-14. Virtual conference. #6587.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 57 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
13/08/2020 |
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Data da última atualização: |
18/08/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
DOU, Y.; YAO, G.; HERZBERGER, A.; SILVA, R. F. B. da; SONG, Q.; HOVIS, C.; BATISTELLA, M.; MORAN, E.; WU, W.; LIU, J. |
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Afiliação: |
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. |
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Título: |
Land-use changes in distant places: implementation of a telecoupled agent-based model. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Artificial Societies and Social Simulation, v. 23, n. 1, 2020. |
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DOI: |
10.18564/jasss.4211 |
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Idioma: |
Inglês |
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Notas: |
Article 11. |
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Conteúdo: |
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). MenosAbstract: 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 validat... Mostrar Tudo |
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Palavras-Chave: |
Agent-Based Model; Land System; Land-Use Change; ODD+D; Soybean Trade; Telecoupling. |
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Thesagro: |
Uso da Terra. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215304/1/AP-Land-use-change-2020.pdf
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Marc: |
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024 7 $a10.18564/jasss.4211$2DOI
100 1 $aDOU, Y.
245 $aLand-use changes in distant places$bimplementation of a telecoupled agent-based model.$h[electronic resource]
260 $c2020
500 $aArticle 11.
520 $aAbstract: 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).
650 $aUso da Terra
653 $aAgent-Based Model
653 $aLand System
653 $aLand-Use Change
653 $aODD+D
653 $aSoybean Trade
653 $aTelecoupling
700 1 $aYAO, G.
700 1 $aHERZBERGER, A.
700 1 $aSILVA, R. F. B. da
700 1 $aSONG, Q.
700 1 $aHOVIS, C.
700 1 $aBATISTELLA, M.
700 1 $aMORAN, E.
700 1 $aWU, W.
700 1 $aLIU, J.
773 $tJournal of Artificial Societies and Social Simulation$gv. 23, n. 1, 2020.
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