|
|
Registros recuperados : 1 | |
1. | | COSTA, A. R. da; LEMOS, J. P. de; GEA JUNIOR, L. Relacao intensidade/duracao/periodo de retorno de chuva em Goias: Apore, Caiaponia e Israelandia. In: SIMPOSIO SOBRE O CERRADO, 8.; INTERNATIONAL SYMPOSIUM ON TROPICAL SAVANNAS, 1., 1996, Brasilia, DF. Biodiversidade e producao sustentavel de alimentos e fibras nos Cerrados: anais... Planaltina: EMBRAPA-CPAC, 1996. p.226-229. 1 tabela, 2 figuras. Biblioteca(s): Embrapa Cerrados. |
| |
Registros recuperados : 1 | |
|
|
| 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. |
Data corrente: |
31/05/2021 |
Data da última atualização: |
02/06/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MILLINGTON, J. D. A.; KATERINCHUK, V.; SILVA, R. F. B. da; VICTORIA, D. de C.; BATISTELLA, M. |
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. |
Título: |
Modelling drivers of Brazilian agricultural change in a telecoupled world. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Environmental Modelling and Software, v. 139, p. 1-16, May 2021. |
DOI: |
https://doi.org/10.1016/j.envsoft.2021.105024 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Agent-based; Agricultural production; Cobertura da terra; CRAFTY framework; CRAFTY-Brazil; Teleacoplamento; Telecoupling. |
Thesagro: |
Agricultura; Produção Agrícola; Simulação; Uso da Terra. |
Thesaurus NAL: |
Agriculture; Land cover; Land use; Simulation models. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02155naa a2200361 a 4500 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.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Expressão de busca inválida. Verifique!!! |
|
|