Published June 10, 2022 | Version 1.0.1
Software Open

MultiOptForest Optimization Notebook (V1.0)

Creators

  • 1. University of Jyväskylä
  • 2. International Institute for Applied Systems Analysis
  • 3. TUM School of Life Sciences
  • 4. Norwegian Institute for Bioeconomy Research
  • 5. Swedish University of Agricultural Sciences
  • 6. Silo AI
  • 7. Leiden University
  • 8. Finnish Environment Institute
  • 9. Norwegian University of Life Sciences

Description

The MultiOptForest Optimization Notebook was developed for the project "MultiForest - Management for multifunctionality in European forests in the era of bioeconomy" (https://www.jyu.fi/BERG/berg-projects-1/forest-values). The optimization framework provides a set of rules that can be used to create a unique multi-objective optimization problem. Particularly, it can be used to optimize forest management for forest ecosystem service and biodiversity objectives, while seeking an efficient management solution for individual forest entities (forest stands). The optimization problem can be created by adjusting the settings in a Jupyter notebook and a graphical user interphase (GUI).

The optimization tool was developed under the lead of the company Silo AI together with project partners from: University of Jyväskylä, Technical University of Munich, Norwegian Institute of Bioeconomy Research, and Swedish University of Agricultural Sciences.

For more details see README.md

Files

MultiForestDemonstration-master.zip

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Additional details

Related works

Is cited by
Journal article: 10.1038/s43247-023-00771-z (DOI)
Is described by
Journal article: 10.1016/j.forpol.2022.102689 (DOI)
Journal article: 10.1016/j.forpol.2022.102899 (DOI)
Journal article: 10.1016/j.landusepol.2023.106673 (DOI)
Is supplement to
https://github.com/maeehart/MultiForestDemonstration.git (URL)