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Modeling oil palm crop for Brazilian climate conditions

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  • Benezoli, Victor Hugo
  • Imbuzeiro, Hewlley Maria Acioli
  • Cuadra, Santiago Vianna
  • Colmanetti, Michel Anderson Almeida
  • de Araújo, Alessandro Carioca
  • Stiegler, Christian
  • Motoike, Sérgio Yoshimitsu

Abstract

The increasing world demand for palm oil led to the expansion of oil palm plantations, especially in the new lands in Southeast Asia, the main producing region in the world. The expansion of oil palm plantations has also occurred in Latin American countries, such as Brazil. Roughly 400 million hectares in Brazil are suitable for the planting of oil palm, but most of this area is currently covered by forest, mainly by the Amazon Rainforest. Climate change has reduced the extent of land suitable for oil palm cultivation in Brazil since under unfavorable climatic conditions, crop yields are reduced. To reconcile the increase in oil palm production in Brazil with the preservation of forests, modeling has been used as a tool to define the best suitable areas for planting expansion, as well as for the assessment of management techniques that aim to increase the yield.

Suggested Citation

  • Benezoli, Victor Hugo & Imbuzeiro, Hewlley Maria Acioli & Cuadra, Santiago Vianna & Colmanetti, Michel Anderson Almeida & de Araújo, Alessandro Carioca & Stiegler, Christian & Motoike, Sérgio Yoshimit, 2021. "Modeling oil palm crop for Brazilian climate conditions," Agricultural Systems, Elsevier, vol. 190(C).
    • Handle: RePEc:eee:agisys:v:190:y:2021:i:c:s0308521x21000834
    DOI: 10.1016/j.agsy.2021.103130
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    References listed on IDEAS

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    1. Hoffmann, M.P. & Castaneda Vera, A. & van Wijk, M.T. & Giller, K.E. & Oberthür, T. & Donough, C. & Whitbread, A.M., 2014. "Simulating potential growth and yield of oil palm (Elaeis guineensis) with PALMSIM: Model description, evaluation and application," Agricultural Systems, Elsevier, vol. 131(C), pages 1-10.
    2. Monteiro de Carvalho, Carolina & Silveira, Semida & Rovere, Emilio Lèbre La & Iwama, Allan Yu, 2015. "Deforested and degraded land available for the expansion of palm oil for biodiesel in the state of Pará in the Brazilian Amazon," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 867-876.
    3. Tomislav Hengl & Jorge Mendes de Jesus & Gerard B M Heuvelink & Maria Ruiperez Gonzalez & Milan Kilibarda & Aleksandar Blagotić & Wei Shangguan & Marvin N Wright & Xiaoyuan Geng & Bernhard Bauer-Marsc, 2017. "SoilGrids250m: Global gridded soil information based on machine learning," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-40, February.
    4. Hoffmann, M.P. & Donough, C.R. & Cook, S.E. & Fisher, M.J. & Lim, C.H. & Lim, Y.L. & Cock, J. & Kam, S.P. & Mohanaraj, S.N. & Indrasuara, K. & Tittinutchanon, P. & Oberthür, T., 2017. "Yield gap analysis in oil palm: Framework development and application in commercial operations in Southeast Asia," Agricultural Systems, Elsevier, vol. 151(C), pages 12-19.
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    1. Raimundo Leonardo Lima Oliveira & Mila Façanha Gomes & Arleu Barbosa Viana-Junior & Wenceslau Geraldes Teixeira & Débora Cristina Castellani & Osvaldo Ryohei Kato & Steel Silva Vasconcelos, 2024. "Oil palm agroforestry systems store more carbon and nitrogen in soil aggregates than monoculture in the Amazon," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 29(7), pages 1-21, October.

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    Keywords

    Amazon; Agriculture; ECOSMOS;
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