Developing a model for managing sustainable regional forest biomass resources: System dynamics-based optimization

Kaneko, Shunsuke; Kim, Hyun Bae; Yoshioka, Takatomo; Nitami, Toshio

doi:10.1016/j.biombioe.2023.106819

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…Furthermore, this is easily done for a variety of model structures, including Model I, Model II [77], and others. Certain kinds of constraints, such as flow [25], supply chain and market [78], transportation and logistics [79], adjacency [80], labor [81], and equipment constraints [82], can also be built, but will require other inputs that are not needed in the alternative generation stage and that can be input at the LP or MIP model-building stage.…”

Section: Discussionmentioning

confidence: 99%

A General Rule-Based Framework for Generating Alternatives for Forest Ecosystem Management Decision Support Systems

Nobre,

McDill,

Estraviz Rodriguez

et al. 2023

Forests

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Linear programming formulations of forest ecosystem management (FEM) problems proposed in the 1960s have been adapted and improved upon over the years. Generating management alternatives for forest planning is a key step in building these models. Global forests are diverse, and a variety of models have been developed to simulate management alternatives. This paper describes iGen, a forest prescription generator that employs a rule-based system (AI-RBS), an AI technique that is often used for expert systems. iGen was designed with the goal of being able to generate management alternatives for virtually any FEM problem. The prescription generator is not designed for, adapted to, focused on—and ideally not limited to—any specific region, landscape, forest condition, projection method, or yield function. Instead, it aims to maximize generality, enabling it to address a broad range of FEM problems. The goal is that practitioners and researchers who do not have and do not want to develop their own alternative generator can use iGen as a prescription generator for their problem instances. For those who choose to develop their own alternative generators, we hope that the concepts and algorithms we propose in this paper will be useful in designing their own systems. iGen’s flexibility can be attributed to three key features. First, users can define the state variable vector for management units according to the available data, models (production functions), and objectives of their problem instance. Second, users also define the types of interventions that can be applied to each type of management unit and create a rule base describing the conditions under which each intervention can be applied. Finally, users specify the equations of motion that determine how the state vector for each management unit will be updated over time, depending on which, if any, interventions are applied. Other than this basic structure, virtually everything in an iGen problem instance is user-defined. iGen uses these key elements to simulate all possible management prescriptions for each management unit and stores the resulting information in a database that is structured to efficiently store the output data from these simulations and to facilitate the generation of optimization models for ultimately determining the Pareto frontier for a given FEM problem. This article introduces iGen, illustrating its concepts, structure, and algorithms through two FEM example problems with contrasting forest management practices: natural regeneration with shelterwood harvests and plantation/coppice. For data and iGen source programs, visit github.com/SilvanaNobre/iGenPaper.

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Section: Discussionmentioning

confidence: 99%

A General Rule-Based Framework for Generating Alternatives for Forest Ecosystem Management Decision Support Systems

Nobre,

McDill,

Estraviz Rodriguez

et al. 2023

Forests

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“…QGIS 3.34 software is adopted to process the GIS work, which has been widely used in spatial analysis [37,38]. All calculations described in this work are based on square grids, assuming that the entire area enclosed by the grid is characterised by a single cell value.…”

Section: Spatial Analysis Modelmentioning

confidence: 99%

Environmental and Economic Spatial Analysis System for Biochar Production – Case Studies in the East of England and the East Midlands

Tang,

Li,

Cockerill

2024

Preprint

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Environmental and economic spatial analysis system for biochar production – Case studies in the East of England and the East Midlands

Tang,

Li,

Cockerill

2024

Biomass and Bioenergy

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Developing a model for managing sustainable regional forest biomass resources: System dynamics-based optimization

Cited by 5 publications

References 23 publications

A General Rule-Based Framework for Generating Alternatives for Forest Ecosystem Management Decision Support Systems

A General Rule-Based Framework for Generating Alternatives for Forest Ecosystem Management Decision Support Systems

Environmental and Economic Spatial Analysis System for Biochar Production – Case Studies in the East of England and the East Midlands

Environmental and economic spatial analysis system for biochar production – Case studies in the East of England and the East Midlands

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