MLFS v0.4.3

Climate-sensitive, single-tree forest simulator based on data-driven machine learning. It simulates the main forest processes— radial growth, height growth, mortality, crown recession, regeneration, and harvesting—so users can assess stand development under climate and management scenarios.

Publication Details

Journal
DiRROS repository (University of Maribor)
Published
2025-11-24
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
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article

MLFS v0.4.3

DiRROS repository (University of Maribor)
Forest ecology and management
article

MLFS v0.4.3

article en

Abstract

Climate-sensitive, single-tree forest simulator based on data-driven machine learning. It simulates the main forest processes— radial growth, height growth, mortality, crown recession, regeneration, and harvesting—so users can assess stand development under climate and management scenarios.

DiRROS repository (University of Maribor)
Climate action
Openalex Percentile: Top 30%
Forest ecology and management
OpenAlex
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MLFS v0.4.3 · DiRROS repository (University of Maribor) (2025) | TGRS Research Map | TGRS