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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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| Registros recuperados : 10 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
11/05/2021 |
|
Data da última atualização: |
11/05/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
VICTORIA, D. de C.; SILVA, R. F. B. da; MILLINGTON, J. D. A.; KATERINCHUK, V.; BATISTELLA, M. |
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Afiliação: |
DANIEL DE CASTRO VICTORIA, CNPTIA; RAMON FELIPE BICUDO DA SILVA, Michigan State University, NEPAM/Unicamp; JAMES D. A. MILLINGTON, King’s College London; VALERI KATERINCHUK, King's College London; MATEUS BATISTELLA, CNPTIA, NEPAM/Unicamp. |
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Título: |
Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017. |
|
Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Data in Brief, v. 36, p. 1-10, June 2021. |
|
DOI: |
https://doi.org/10.1016/j.dib.2021.107070 |
|
Idioma: |
Inglês |
|
Notas: |
Article 107070. |
|
Conteúdo: |
Abstract. Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers´ decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al. (2021) [1], in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The most recent federal road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports handling agricultural commodities, and their years of operation, were identified. Both datasets were used to derive the relative transport cost to the nearest port for Brazil, for years 2000, 2005, 2010 and 2017. |
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Palavras-Chave: |
Agricultural commodities; Commodieties agrícola; Custo de transporte; Infraestrutura; Logistics; Rede rodoviária federal; Soybean. |
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Thesagro: |
Exportação; Logística; Sistema de Informação Geográfica; Soja; Transporte. |
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Thesaurus NAL: |
Exports; Infrastructure; Soybeans; Transportation. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223189/1/AP-Transport-cost-2021.pdf
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|
Marc: |
LEADER 02374naa a2200385 a 4500
001 2131767
005 2021-05-11
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.dib.2021.107070$2DOI
100 1 $aVICTORIA, D. de C.
245 $aTransport cost to port though Brazilian federal roads network$bdataset for years 2000, 2005, 2010 and 2017.$h[electronic resource]
260 $c2021
500 $aArticle 107070.
520 $aAbstract. Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers´ decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al. (2021) [1], in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The most recent federal road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports handling agricultural commodities, and their years of operation, were identified. Both datasets were used to derive the relative transport cost to the nearest port for Brazil, for years 2000, 2005, 2010 and 2017.
650 $aExports
650 $aInfrastructure
650 $aSoybeans
650 $aTransportation
650 $aExportação
650 $aLogística
650 $aSistema de Informação Geográfica
650 $aSoja
650 $aTransporte
653 $aAgricultural commodities
653 $aCommodieties agrícola
653 $aCusto de transporte
653 $aInfraestrutura
653 $aLogistics
653 $aRede rodoviária federal
653 $aSoybean
700 1 $aSILVA, R. F. B. da
700 1 $aMILLINGTON, J. D. A.
700 1 $aKATERINCHUK, V.
700 1 $aBATISTELLA, M.
773 $tData in Brief$gv. 36, p. 1-10, June 2021.
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Embrapa Agricultura Digital (CNPTIA) |
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