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A diameter at breast height growth model for dominant Chinese fir trees incorporating site and climatic effects
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Xingyi HE1, Enlin LIU2, Yong LYU1, Xiongqing ZHANG3, Guangyu ZHU1
Journal of Central South University of Forestry & Technology | 2026, 46(6) : 91 - 102
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Journal of Central South University of Forestry & Technology | 2026, 46(6): 91-102
A diameter at breast height growth model for dominant Chinese fir trees incorporating site and climatic effects
Full
Xingyi HE1, Enlin LIU2, Yong LYU1, Xiongqing ZHANG3, Guangyu ZHU1
Affiliations
  • 1.School of Forestry, Central South University of Forestry & Technology, Changsha 410004, Hunan, China
  • 2.Central South Inventory and Planning Institute, National Forestry and Grassland Administration, Changsha 410014, Hunan, China
  • 3.Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
Published: 2026-06-25 doi: 10.14067/j.cnki.1673-923x.2026.06.009
Outline
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【Objective】

To accurately predict the growth dynamics of Chinese fir and construct a dominant tree diameter at breast height (DBH) growth model that integrates site and climatic conditions, and to provide guidance for sustainable management and carbon sequestration assessment of Chinese fir plantations.

【Method】

Utilizing 1 121 DBH-age datasets from 129 Chinese fir plantation plots, topographic, edaphic and climatic factors were incorporated. Significant environmental drivers affecting DBH growth were identified through Quantification Theory I. The optimal theoretical growth equation was selected from six candidate models. Site types and climate types were clustered into site type groups and climate type groups using the k-means algorithm. Nonlinear mixed-effects regression models were developed by incorporating site type, climate type, and their clustered groups as random effects, either individually or in combination.

【Result】

Seven leading factors influencing DBH growth of dominant trees, including altitude, aspect, Climatic moisture deficit and extreme minimum temperature, were screened. Among the six basic models, the Korf model had the best fitting effect, with a determination coefficient R2 of 0.782 0, 75 site types and 173 climate types clustered into 5 site type groups and 7 climate type groups, respectively, and the random effect model R2 with site factor groups and climate factor groups only was 0.822 9 and 0.839 1, respectively, and the random effect model with site and climate factors was R2= 0.854 3 which was significantly better than the other models.

【Conclusion】

The nonlinear mixed-effects model developed in this study, which integrates site- and climate-effects, comprehensively incorporates environmental factors influencing the DBH growth of dominant Chinese fir trees. This model not only provides scientific guidance for predicting the DBH growth of dominant Chinese fir trees, but also establishes a generalizable modeling framework for analyzing and forecasting environmental impacts on the growth of subtropical Chinese fir plantations.

Chinese fir plantations  /  nonlinear mixed-effects  /  site type groups  /  climate type groups  /  DBH growth model of dominant trees
何星谊, 刘恩林, 吕勇, 张雄清, 朱光玉. 基于立地和气候效应的杉木优势木胸径生长模型. 中南林业科技大学学报, 2026 , 46 (6) : 91 -102 . DOI: 10.14067/j.cnki.1673-923x.2026.06.009
Xingyi HE, Enlin LIU, Yong LYU, Xiongqing ZHANG, Guangyu ZHU. A diameter at breast height growth model for dominant Chinese fir trees incorporating site and climatic effects[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (6) : 91 -102 . DOI: 10.14067/j.cnki.1673-923x.2026.06.009
Year 2026 volume 46 Issue 6
12
1
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Article Info
doi: 10.14067/j.cnki.1673-923x.2026.06.009
  • Receive Date:2025-04-06
  • Online Date:2026-10-30
  • Published:2026-06-25
Article Data
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History
  • Received:2025-04-06
  • Revised:2025-06-30
Funding
Affiliations
    1.School of Forestry, Central South University of Forestry & Technology, Changsha 410004, Hunan, China
    2.Central South Inventory and Planning Institute, National Forestry and Grassland Administration, Changsha 410014, Hunan, China
    3.Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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