A Buffered Area Restriction Model (BARM) for optimisation of spatially constrained forest harvest scheduling

The paper presents a modified version of Path Formulation for an Area Restriction Model (ARM). The operational research tool automatically constructs suitable buffers among forest unit boundaries to optimise harvesting scheduling in case of management constraints (i.e. maximum adjacent harvested area, green-up age, minimum level of net present value – NPV – to be obtained in different periods etc.). The objective function of the Buffered Area Restriction Model (BARM) is the maximisation of NPV. Economic analysis is developed through an open-source Geographic Information System Decision Support, r.green.biomassfor . The model is tested in a hypothetical forest with scenarios from 30 to 150 forest units. Outputs demonstrate improved optimisation with respect to basic formulation of ARM as well as other models presented in literature. Results show that – in the case study – NPV can reach an improvement of almost 25 % (30 % in a Toy scenario) compared to the base ARM formulation. Highly acceptable errors and resolution times are provided by BARM also in the perspectives of both scientific integration and practical applications. Strengths, weaknesses and potential future improvements of the model are presented. • A revised ARM Path Formulation is implemented for harvest scheduling NPV optimisation • Harvesting, economic and landscape constraints are introduced in the model • The model is presented from Toy-scenario to a large forest experiment • BARM allows to strongly improve NPV maximisation in respect to basic ARM formulation • Results are obtained with highly acceptable error gaps and resolution times

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Publication Details

Journal
Forest Policy and Economics
Published
2025-05-30
DOI
https://doi.org/10.1016/j.forpol.2025.103536
Citations
1
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
1.11
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article

A Buffered Area Restriction Model (BARM) for optimisation of spatially constrained forest harvest scheduling

Matteo Lapucci, Sandro Sacchelli, Arturo Annunziata
1 citations
Forest Policy and Economics
Forest Management and Policy
1.11
article

A Buffered Area Restriction Model (BARM) for optimisation of spatially constrained forest harvest scheduling

Matteo Lapucci, Sandro Sacchelli, Arturo Annunziata
article en
1 citations

Abstract

The paper presents a modified version of Path Formulation for an Area Restriction Model (ARM). The operational research tool automatically constructs suitable buffers among forest unit boundaries to optimise harvesting scheduling in case of management constraints (i.e. maximum adjacent harvested area, green-up age, minimum level of net present value – NPV – to be obtained in different periods etc.). The objective function of the Buffered Area Restriction Model (BARM) is the maximisation of NPV. Economic analysis is developed through an open-source Geographic Information System Decision Support, r.green.biomassfor . The model is tested in a hypothetical forest with scenarios from 30 to 150 forest units. Outputs demonstrate improved optimisation with respect to basic formulation of ARM as well as other models presented in literature. Results show that – in the case study – NPV can reach an improvement of almost 25 % (30 % in a Toy scenario) compared to the base ARM formulation. Highly acceptable errors and resolution times are provided by BARM also in the perspectives of both scientific integration and practical applications. Strengths, weaknesses and potential future improvements of the model are presented. • A revised ARM Path Formulation is implemented for harvest scheduling NPV optimisation • Harvesting, economic and landscape constraints are introduced in the model • The model is presented from Toy-scenario to a large forest experiment • BARM allows to strongly improve NPV maximisation in respect to basic ARM formulation • Results are obtained with highly acceptable error gaps and resolution times

Forest Policy and EconomicsVol. 177
University of Florence (IT)
Openalex Percentile: Top 24%
Forest Management and Policy
1.11
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