Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Forest restoration with a native species Paricá in Amazon: a generalizable model to support forest management
Áreas de investigación
  • Monte
Approximately four thousand hectares of degraded pasture land in the Brazilian State of Par á in the Amazon have been converted to a forested area since 2008. A single fast-growing native tree species was used in the process, the paric á (Schizolobium amazonicum). Paricá grows at a rate of 23 to 27 m3/ha/year and densely covers the degraded area with its canopy in approximately 2 to 3 years. Besides the improvement in terms of environmental indicators, the paricá plantation offered reasonably good income when sold for veneer logs. A generalizable model was developed to support important decisions about to be made by the forest management team. A multi-objective model was developed, using an open source algebraic optimization modelling system (Pyomo). The systems allowed the analysis of different scenarios and a comprehensive set of evaluations regarding environmental and economic objectives. Specifically, the model helped on supporting the analysis of different management regimes and production cycles, and whether managers should change species, mix them or alter tree density. It also provided price ranges that guarantee expected investment returns for the investors. Examples were provided using local yield curves, costs, market prices, and accomplished environmental gains.
Nombre congreso
IUFRO 125 Anniversary World Congress
Tipo de participación
Lugar del congreso
Freiburg, Germany
Fecha inicio congreso
Fecha fin congreso
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Título de las actas
125th IUFRO Anniversary Congress - Book of Abstracts, 2017
Esta actividad pertenece a memorias de investigación
  • Autor: Silvana Ribeiro Nobre (UPM)
  • Autor: Luis Augusto Diaz Balteiro (UPM)
  • Autor: Luis Carlos Estraviz Rodriguez (UPM)
  • Autor: Matheus Zonete
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Economía y Sostenibilidad del Medio Natural
  • Departamento: Ingeniería y Gestión Forestal y Ambiental
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