Tree size and relative height interactions enhance generalized additive models for Chinese fir stem taper prediction.

Wanrong Chen, Yanjuan Lyu, Xiangrong Wu, Yuhan Wang, Zongming He, Shuaichao Sun

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In one paragraph

Article in Forestry research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Wanrong ChenCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.

Yanjuan LyuCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.

Xiangrong WuCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.

Yuhan WangCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.

Zongming HeCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.

Shuaichao SunCollege of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China.ORCID 0000-0003-3694-5981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tree stem taper varies dynamically with tree size due to biomechanical constraints governing stability, yet capturing this size-dependent shape plasticity remains a challenge in forest biometrics. Traditional variable-exponent models impose rigid functional forms, while emerging machine learning approaches often obscure these biological relationships within black-box structures. Furthermore, previous applications of generalized additive models (GAMs) have predominantly focused on additive effects, overlooking the critical interactions between tree size and relative position along the stem. To address this gap, we investigated whether explicitly modeling the nonlinear interactions between tree size and relative height could resolve systematic biases in taper prediction. Using a dataset of 516 felled Chinese fir (

Indexed as

Interaction effectMain effectRelative contributionSmoothing spline functionTaper model

Identifiers

PMID42568512

DOI10.48130/forres-0026-0022

PMCPMC13447277

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.