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Development of growth models for dominant Castanopsis species in subtropical broadleaf secondary forests in Chongyi County, Jiangxi Province
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Peng He1, Dinglu Chen2, Kailun Zou3, Zhanyin Wang4, Jinkui Ning5, Yatong Wu5, Hao Zang5, Lu Yang3, Xianzhao Liu3
Journal of Central South University of Forestry & Technology | 2026, 46(7) : 13 - 21
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Journal of Central South University of Forestry & Technology | 2026, 46(7): 13-21
Development of growth models for dominant Castanopsis species in subtropical broadleaf secondary forests in Chongyi County, Jiangxi Province
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Peng He1, Dinglu Chen2, Kailun Zou3, Zhanyin Wang4, Jinkui Ning5, Yatong Wu5, Hao Zang5, Lu Yang3, Xianzhao Liu3
Affiliations
  • 1.Central South Academy of Inventory and Planning, National Forestry and Grassland Administration, Changsha 410014, Hunan, China
  • 2.Chongyi County Forestry Technology Extension Center, Chongyi 341300, Jiangxi, China
  • 3.a. Institute of Forest Resource Information Techniques; b. State Key Laboratory of Efficient Production of Forest Resources; c. Key Laboratory of Forest Management and Growth Modelling, Chinese Academy of Forestry, Beijing 100091, China
  • 4.Jiangxi Forest Resources Protection Center, Nanchang 330036, Jiangxi, China
  • 5.College of Forestry, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, China
Published: 2026-07-25 doi: 10.14067/j.cnki.1673-923x.2026.07.002
Outline
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【Objective】

To reveal the differences in growth rhythms and ecological strategies among three dominant Castanopsis species in the subtropical broadleaved secondary forests of Chongyi County, Jiangxi Province, and to provide a theoretical basis for classified management, structural regulation, and sustainable management of this region and similar subtropical secondary forests, as well as methodological references for multidimensional tree growth simulation under small-sample conditions.

【Method】

Three dominant Castanopsis species-C. fargesii, C. faberi, and C. carlesii-in the subtropical secondary forests of Chongyi County were selected for analysis. Sample trees were subjected to stem analysis to obtain precise time-series data of annual radial growth. Five classic growth functions (Logistic, Gompertz, Hossfeld IV, Korf, and Richards) were applied to fit and compare the growth processes of DBH, height, and volume for each species. The Richards model, identified as the best-fitting function in most cases, was used to construct a system of nonlinear compatible growth equations. These equations were then estimated using the seemingly unrelated regression (SUR) method. Additionally, logarithmic transformation was introduced to correct heteroscedasticity in allometric growth models, thereby improving model stability. Based on the modeling results, growth rate and maturation patterns of the three species were further compared and analyzed.

【Result】

Among the five tested models, the Richards function provided the best fit across multiple growth dimensions. The SUR-based compatible model revealed significant residual correlations between DBH and volume (r=0.875 1), and between DBH and height (r=0.682 0), validating the necessity of joint modeling. After logarithmic transformation, the allometric models exhibited a substantial reduction in mean systematic error (18.7% to 56.7%), while maintaining high R2 values and stable fitting performance. Growth pattern analysis showed that C. faberi and C. carlesii had stronger early growth potential and faster maturation, making them suitable for timber-oriented management. In contrast, C. fargesii exhibited a slower growth rate but demonstrated strong ecological adaptability, making it ideal for deployment in ecological conservation forests.

【Conclusion】

Under limited sample conditions, this study successfully developed nonlinear compatible models for DBH, height, and volume of three dominant Castanopsis species, and effectively identified interrelationships among growth dimensions using the SUR method. The introduction of logarithmic transformation significantly improved the performance of the allometric models by reducing heteroscedasticity. Furthermore, through a comprehensive analysis of current annual increment and mean annual increment, the study further reveals significant differences among the three Castanopsis species in growth rates of diameter at breast height, tree height, and stem volume, as well as in maturation patterns. C. faberi and C. carlesii exhibit a fast-growing strategy, whereas C. fargesii shows a stable and conservative strategy, reflecting interspecific differences in resource utilization and environmental adaptation.

subtropical broadleaf secondary forest  /  stem analysis  /  dominant trees  /  compatibility growth model
贺鹏, 陈鼎泸, 邹凯伦, 王占印, 宁金魁, 吴亚通, 臧颢, 杨璐, 刘宪钊. 江西省崇义县亚热带阔叶次生林栲属优势树种生长模型构建. 中南林业科技大学学报, 2026 , 46 (7) : 13 -21 . DOI: 10.14067/j.cnki.1673-923x.2026.07.002
Peng He, Dinglu Chen, Kailun Zou, Zhanyin Wang, Jinkui Ning, Yatong Wu, Hao Zang, Lu Yang, Xianzhao Liu. Development of growth models for dominant Castanopsis species in subtropical broadleaf secondary forests in Chongyi County, Jiangxi Province[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (7) : 13 -21 . DOI: 10.14067/j.cnki.1673-923x.2026.07.002
Year 2026 volume 46 Issue 7
9
1
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Article Info
doi: 10.14067/j.cnki.1673-923x.2026.07.002
  • Receive Date:2025-07-04
  • Online Date:2026-10-30
  • Published:2026-07-25
Article Data
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History
  • Received:2025-07-04
  • Revised:2025-09-23
Funding
Affiliations
    1.Central South Academy of Inventory and Planning, National Forestry and Grassland Administration, Changsha 410014, Hunan, China
    2.Chongyi County Forestry Technology Extension Center, Chongyi 341300, Jiangxi, China
    3.a. Institute of Forest Resource Information Techniques; b. State Key Laboratory of Efficient Production of Forest Resources; c. Key Laboratory of Forest Management and Growth Modelling, Chinese Academy of Forestry, Beijing 100091, China
    4.Jiangxi Forest Resources Protection Center, Nanchang 330036, Jiangxi, China
    5.College of Forestry, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, 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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