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| Registros recuperados : 10 | |
| 5. |  | VICTORIA, D. de C.; SILVA, R. F. B. da; MILLINGTON, J. D. A.; KATERINCHUK, V.; BATISTELLA, M. Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017. Data in Brief, v. 36, p. 1-10, June 2021. Article 107070.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 6. | | SILVA, R. F. B. da; BATISTELLA, M.; MILLINGTON, J. D. A.; MORAN, E.; MARTINELLI, L. A.; DOU, Y.; LIU, J. Three decades of changes in Brazilian municipalities and their food production systems. Land, v. 9, n. 11, p. 1-17, Nov. 2020.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 7. | | SILVA, R. F. B. da; MILLINGTON, J. D. A.; VIÑA, A.; DOU, Y.; MORAN, E.; BATISTELLA, M.; LAPOLA, D. M.; LIU, J. Balancing food production with climate change mitigation and biodiversity conservation in the Brazilian Amazon. Science of The Total Environment, v. 904, 166681, Dec. 2023.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 8. | | DOU, Y.; MILLINGTON, J. D. A.; SILVA, R. F. B. da; MCCORD, P.; VIÑA, A.; SONG, Q.; YU, Q.; WU, W.; BATISTELLA, M.; MORAN, E.; LIU, J. Land-use changes across distant places: design of a telecoupledagent-based model. Journal of Land Use Science, v. 14, n. 3, p. 191-209, 2019.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 9. | | SILVA, R. F. B. da; VICTORIA, D. de C.; NOSSACK, F. A.; VIÑA, A.; MILLINGTON, J. D. A.; VIEIRA, S. A.; BATISTELLA, M.; MORAN, E.; LIU, J. Slow-down of deforestation following a Brazilian forest policy was less effective on private lands than in all conservation areas. Communications Earth & Environment, v. 4, 111, 2023.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | LIU, J.; DOU, Y.; BATISTELLA, M.; CHALLIES, E.; CONNOR, T.; FRIIS, C.; MILLINGTON, J. D. A.; PARISH, E.; ROMULO, C. L.; SILVA, R. F. B.; TRIEZENBERG, H.; YANG, H.; ZHAO, Z.; ZIMMERER, K. S.; HUETTMANN, F.; TREGLIA, M. L.; BASHER, Z.; CHUNG, M. G.; HERZBERGER, A.; LENSCHOW, A.; MECHICHE-ALAMI, A.; NEWIG, J.; ROCHE, J.; SUN, J. Spillover systems in a telecoupled Anthropocene: typology, methods, and governance for global sustainability. Current Opinion in Environmental Sustainability, v. 33, p. 58-69, Aug. 2018.| Biblioteca(s): Embrapa Agricultura Digital. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
31/05/2021 |
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Data da última atualização: |
02/06/2021 |
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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: |
MILLINGTON, J. D. A.; KATERINCHUK, V.; SILVA, R. F. B. da; VICTORIA, D. de C.; BATISTELLA, M. |
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Afiliação: |
JAMES D. A. MILLINGTON, KING’S COLLEGE LONDON; VALERI KATERINCHUK, KING'S COLLEGE LONDON; RAMON FELIPE BICUDO DA SILVA, MICHIGAN STATE UNIVERSITY, NEPAM/UNICAMP; DANIEL DE CASTRO VICTORIA, CNPTIA; MATEUS BATISTELLA, NEPAM/UNICAMP, CNPTIA. |
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Título: |
Modelling drivers of Brazilian agricultural change in a telecoupled world. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Environmental Modelling and Software, v. 139, p. 1-16, May 2021. |
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DOI: |
https://doi.org/10.1016/j.envsoft.2021.105024 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract. Increasing global demand for agricultural commodities has driven local land use/cover change (LUCC) and agricultural production across Brazil during the 21st century. Modelling tools are needed to help understand the range of possible outcomes due to these 'telecoupled' global-to-local relationships, given future political, economic and environmental uncertainties. Here, we present CRAFTY-Brazil, a LUCC model representing production of multiple agricultural commodities that accounts for spatially explicit (e.g., land access) and temporally contingent (e.g., agricultural debt) processes of importance across our nearly four million km2 Brazilian study area. We calibrate the model calibration for 2001-2018, and run tests and scenarios about commodity demand, agricultural yields, climate change, and policy decisions for 2019-2035. Results indicate greater confidence in modelled time-series than spatial allocation. We discuss how our approach might be best understood to be agency-based, rather than agent-based, and highlight questions more and less appropriate for this approach. |
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Palavras-Chave: |
Agent-based; Agricultural production; Cobertura da terra; CRAFTY framework; CRAFTY-Brazil; Teleacoplamento; Telecoupling. |
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Thesagro: |
Agricultura; Produção Agrícola; Simulação; Uso da Terra. |
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Thesaurus NAL: |
Agriculture; Land cover; Land use; Simulation models. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 2132108
005 2021-06-02
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.envsoft.2021.105024$2DOI
100 1 $aMILLINGTON, J. D. A.
245 $aModelling drivers of Brazilian agricultural change in a telecoupled world.$h[electronic resource]
260 $c2021
520 $aAbstract. Increasing global demand for agricultural commodities has driven local land use/cover change (LUCC) and agricultural production across Brazil during the 21st century. Modelling tools are needed to help understand the range of possible outcomes due to these 'telecoupled' global-to-local relationships, given future political, economic and environmental uncertainties. Here, we present CRAFTY-Brazil, a LUCC model representing production of multiple agricultural commodities that accounts for spatially explicit (e.g., land access) and temporally contingent (e.g., agricultural debt) processes of importance across our nearly four million km2 Brazilian study area. We calibrate the model calibration for 2001-2018, and run tests and scenarios about commodity demand, agricultural yields, climate change, and policy decisions for 2019-2035. Results indicate greater confidence in modelled time-series than spatial allocation. We discuss how our approach might be best understood to be agency-based, rather than agent-based, and highlight questions more and less appropriate for this approach.
650 $aAgriculture
650 $aLand cover
650 $aLand use
650 $aSimulation models
650 $aAgricultura
650 $aProdução Agrícola
650 $aSimulação
650 $aUso da Terra
653 $aAgent-based
653 $aAgricultural production
653 $aCobertura da terra
653 $aCRAFTY framework
653 $aCRAFTY-Brazil
653 $aTeleacoplamento
653 $aTelecoupling
700 1 $aKATERINCHUK, V.
700 1 $aSILVA, R. F. B. da
700 1 $aVICTORIA, D. de C.
700 1 $aBATISTELLA, M.
773 $tEnvironmental Modelling and Software$gv. 139, p. 1-16, May 2021.
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Embrapa Agricultura Digital (CNPTIA) |
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