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

IF 4 2区农林科学 Q1 ECONOMICS

Forest Policy and Economics Pub Date : 2025-05-30 DOI:10.1016/j.forpol.2025.103536

Sandro Sacchelli , Arturo Annunziata , Matteo Lapucci

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引用次数: 0

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.

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空间约束下森林采伐调度优化的缓冲区约束模型

本文提出了区域限制模型（ARM）路径公式的改进版本。业务研究工具在森林单元边界之间自动构建合适的缓冲区，以在管理约束（即最大相邻采伐面积、绿化年龄、不同时期获得的最小净现值水平- NPV等）的情况下优化采伐计划。缓冲区约束模型（BARM）的目标函数是净现值最大化。经济分析是通过开放源代码的地理信息系统决策支持（r.green.biomassfor）开发的。该模型在30至150个森林单位的假设森林中进行了测试。输出表明，相对于ARM的基本公式以及文献中提出的其他模型，改进了优化。结果表明，在案例研究中，与基本的ARM配方相比，NPV可以提高近25%（在Toy方案中提高30%）。从科学集成和实际应用的角度来看，BARM还提供了高度可接受的误差和分辨率时间。提出了该模型的优点、缺点和未来可能的改进。

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来源期刊

Forest Policy and Economics 农林科学-林学

CiteScore

9.00

自引率

7.50%

发文量

148

审稿时长

21.9 weeks

期刊介绍： Forest Policy and Economics is a leading scientific journal that publishes peer-reviewed policy and economics research relating to forests, forested landscapes, forest-related industries, and other forest-relevant land uses. It also welcomes contributions from other social sciences and humanities perspectives that make clear theoretical, conceptual and methodological contributions to the existing state-of-the-art literature on forests and related land use systems. These disciplines include, but are not limited to, sociology, anthropology, human geography, history, jurisprudence, planning, development studies, and psychology research on forests. Forest Policy and Economics is global in scope and publishes multiple article types of high scientific standard. Acceptance for publication is subject to a double-blind peer-review process.