Accuracy and biological plausibility of a machine learning-based transition matrix growth model for long-term mixed forest projections under climate change

Journal of Forestry Research 2026

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Authors: Xue Du, Xiangdong Lei, Xiao He, Zeyu Zhou, Hong Guo, Yangping Qin
DOI: 10.1007/s11676-026-02013-2
Cited by: 2
References: 86

Fields of Study & Subjects

Plant Water Relations and Carbon Dynamics Forest ecology and management Tree-ring climate responses

Publication details

Journal / source
Journal of Forestry Research
Publisher
Springer Science and Business Media LLC
Volume
37
Issue
1
Publication date
28 February 2026
Language
EN