Stochastic forestry harvest planning under soil compaction conditions

Stochastic forestry harvest planning under soil compaction conditions

Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática de Bahía Blanca; Argentina.

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Main Authors: Rossit, Daniel Alejandro, Pais, Cristóbal, Weintraub, Andrés, Broz, Diego Ricardo, Frutos, Mariano, Tohmé, Fernando Abel
Format: info:eu-repo/semantics/article biblioteca
Language:eng
Published: Journal of Environmental Management
Subjects:Soil compaction, Forest harvest planning, Sustainable management, Stochastic modeling, Rainfall regime, Progressive hedging,
Online Access:https://hdl.handle.net/20.500.12219/4988
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spelling dig-ridunam-ar-20.500.12219-49882024-05-15T10:33:50Z Stochastic forestry harvest planning under soil compaction conditions Rossit, Daniel Alejandro Pais, Cristóbal Weintraub, Andrés Broz, Diego Ricardo Frutos, Mariano Tohmé, Fernando Abel Soil compaction Forest harvest planning Sustainable management Stochastic modeling Rainfall regime Progressive hedging Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática de Bahía Blanca; Argentina. Fil: Rossit, Daniel Alejandro. Universidad Nacional del Sur. Instituto de Matemática de Bahía Blanca; Argentina. Fil: Rossit, Daniel Alejandro. Universidad Nacional del Sur. Departamento de Ingeniería (Bahía Blanca); Argentina. Fil: Pais, Cristóbal. University of California Berkeley. Industrial Engineering and Operations Research; United States. Fil: Weintraub, Andrés. Universidad de Chile. Departamento de Ingeniería Industrial; Chile. Fil: Broz, Diego. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Broz, Diego Ricardo. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina. Fil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina. Fil: Frutos, Mariano. Universidad Nacional del Sur. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina. Fil: Frutos, Mariano. Universidad Nacional del Sur. Departamento de Ingeniería (Bahía Blanca); Argentina. Fil: Tohmé, Fernando Abel. Universidad Nacional del Sur. Instituto de Matemática de Bahía Blanca; Argentina. Fil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática de Bahía Blanca; Argentina. Fil: Tohmé, Fernando Abel. Universidad Nacional del Sur. Departamento de Economía; Argentina. We present a study of annual forestry harvesting planning considering the risk of compaction generated by the transit of heavy forestry machinery. Soil compaction is a problem that occurs when the soil loses its natural resistance to resist the movement of machinery, causing the soil to be compacted in excess. This compaction generates unwanted effects on both the ecosystem and its economic sustainability. Therefore, when the risk of compaction is considerable, harvest operations must be stopped, complicating the annual plan and incurring in excessive costs to alleviate the situation. To incorporate the risk of compaction into the planning process, it is necessary to incorporate the analysis of the soil's hydrological balance, which combines the effect of rainfall and potential evapotranspiration. This requires analyzing the uncertainty of rainfall regimes, for which we propose a stochastic model under different scenarios. This stochastic model yields better results than the current deterministic methods used by lumber companies. Initially, the model is solved analyzing monthly scenarios. Then, we change to a biweekly model that provides a better representation of the dynamics of the system. While this improves the performance of the model, this new formulation increases the number of scenarios of the stochastic model. To address this complexity, we apply the Progressive Hedging method, which decomposes the problem in scenarios, yielding high-quality solutions in reasonable time. 2021-06-06 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion https://hdl.handle.net/20.500.12219/4988 eng info:eu-repo/semantics/altIdentifier/urn/https://www.sciencedirect.com/science/article/pii/S0301479721012196 info:eu-repo/semantics/openAccess application/pdf application/pdf 1.722 MB Journal of Environmental Management
institution UNAM AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-ridunam-ar
tag biblioteca
region America del Sur
libraryname Biblioteca Regional ElDorado
language eng
topic Soil compaction
Forest harvest planning
Sustainable management
Stochastic modeling
Rainfall regime
Progressive hedging
Soil compaction
Forest harvest planning
Sustainable management
Stochastic modeling
Rainfall regime
Progressive hedging
spellingShingle Soil compaction
Forest harvest planning
Sustainable management
Stochastic modeling
Rainfall regime
Progressive hedging
Soil compaction
Forest harvest planning
Sustainable management
Stochastic modeling
Rainfall regime
Progressive hedging
Rossit, Daniel Alejandro
Pais, Cristóbal
Weintraub, Andrés
Broz, Diego Ricardo
Frutos, Mariano
Tohmé, Fernando Abel
Stochastic forestry harvest planning under soil compaction conditions
description Fil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática de Bahía Blanca; Argentina.
format info:eu-repo/semantics/article
topic_facet Soil compaction
Forest harvest planning
Sustainable management
Stochastic modeling
Rainfall regime
Progressive hedging
author Rossit, Daniel Alejandro
Pais, Cristóbal
Weintraub, Andrés
Broz, Diego Ricardo
Frutos, Mariano
Tohmé, Fernando Abel
author_facet Rossit, Daniel Alejandro
Pais, Cristóbal
Weintraub, Andrés
Broz, Diego Ricardo
Frutos, Mariano
Tohmé, Fernando Abel
author_sort Rossit, Daniel Alejandro
title Stochastic forestry harvest planning under soil compaction conditions
title_short Stochastic forestry harvest planning under soil compaction conditions
title_full Stochastic forestry harvest planning under soil compaction conditions
title_fullStr Stochastic forestry harvest planning under soil compaction conditions
title_full_unstemmed Stochastic forestry harvest planning under soil compaction conditions
title_sort stochastic forestry harvest planning under soil compaction conditions
publisher Journal of Environmental Management
url https://hdl.handle.net/20.500.12219/4988
work_keys_str_mv AT rossitdanielalejandro stochasticforestryharvestplanningundersoilcompactionconditions
AT paiscristobal stochasticforestryharvestplanningundersoilcompactionconditions
AT weintraubandres stochasticforestryharvestplanningundersoilcompactionconditions
AT brozdiegoricardo stochasticforestryharvestplanningundersoilcompactionconditions
AT frutosmariano stochasticforestryharvestplanningundersoilcompactionconditions
AT tohmefernandoabel stochasticforestryharvestplanningundersoilcompactionconditions
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