Evaluation and regulation strategies for stand vigour based on crown structure and tree rings of dominant Cunninghamia lanceolata

Xiaowen Dou , Xiang Zhang , Lulu Kong , Guangyu Zhu , Lang Huang , Guoqi Chen , Chunxiao Liu , Zihao Liu

Journal of Forestry Research ›› 2026, Vol. 37 ›› Issue (1) : 8

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Journal of Forestry Research ›› 2026, Vol. 37 ›› Issue (1) :8 DOI: 10.1007/s11676-025-01948-2
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Evaluation and regulation strategies for stand vigour based on crown structure and tree rings of dominant Cunninghamia lanceolata

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Abstract

Cunninghamia lanceolata (Lamb.) Hook, a key species for forest plantations in subtropical China, is experiencing a critical decline in productivity due to management practices like long-term successive rotation. Within the C. lanceolata ecosystems, the vigour of the dominant trees reflects their growth potential under the prevailing site conditions. This is crucial for informing management strategies aimed at optimizing plantation productivity. This study focuses on dominant individuals of C. lanceolata, employing their basal area increment in the final year as a quantitative indicator of stand vigour. A dual-dimensional evaluation framework integrating crown structure and tree rings was developed to investigate the underlying mechanisms by which crown structural parameters, stand density and tree age influence stand vigour. This was based on stem analysis data from 76 dominant trees sampled across six southern Chinese provinces. Tree ring data were combined with crown structural parameters including length, width, ratio, volume, shape ratio, and crown projection ratio. A multi-method analytical framework incorporating correlation analysis, difference testing, subgroup analysis, and linear threshold regression modeling was employed to systematically examine these interactions. The results demonstrated that: (1) crown length exhibited a significant positive correlation with basal area increment, while crown shape and projection ratios had significant negative effects. (2) Middle-aged stands (11–20 years) and low-density stands (≤ 1000 ind. ha− 1) exhibited the highest vigour, with significantly greater basal area increment compared to other age classes and density gradients. (3) Linear threshold regression analysis identified a critical threshold for the clear bole ratio at approximately 0.5. Staying below this value optimizes crown morphology and boosts vigour. Therefore, silvicultural management of C. lanceolata plantations should prioritize density regulation to alleviate inter-tree competition, complemented by precision pruning during the critical 11−20-year phase. Strategic control of the clear bole ratio is recommended to enhance stand vigour.

Keywords

Dominant trees / Crown structure / Tree rings / Stand vigour

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Xiaowen Dou, Xiang Zhang, Lulu Kong, Guangyu Zhu, Lang Huang, Guoqi Chen, Chunxiao Liu, Zihao Liu. Evaluation and regulation strategies for stand vigour based on crown structure and tree rings of dominant Cunninghamia lanceolata. Journal of Forestry Research, 2026, 37(1): 8 DOI:10.1007/s11676-025-01948-2

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References

[1]

Ahmed S, Hilmers T, Uhl E, Jacobs M, Bohnhorst L, Kolisnyk B, del Río M, Pretzsch H. Neighborhood competition modulates the link between crown structure and tree ring variability in monospecific and mixed forest stands. For Ecol Manage, 2024, 560 121839

[2]

Ahmed S, Hilmers T, Uhl E, Tupinambá-Simões F, Bravo F, del Río M, Pretzsch H. Crown structure indicates tree secondary growth, competition legacy, and growth potential of dominant species in Europe. Ecol Indic, 2025, 170 113074

[3]

Bi J, Blanco JA, Seely B, Kimmins JP, Ding Y, Welham C. Yield decline in Chinese-fir plantations: a simulation investigation with implications for model complexity. Can J for Res, 2007, 37(9): 1615-1630

[4]

Boulet B (2007) Défauts externes et indices de la carie des arbres: guide d’interprétation. Publication du Québec, Sainte-Foy, Quebec, 317 p. (in French)

[5]

Cekstere G, Osvalde A, Snepsts G, Laivins M. Nutrient characteristics and proline accumulation in relation to Picea abies status on drained peat soils. Dendrobiology, 2020, 84: 94-108

[6]

Chai ZZ (2016) Quantitative evaluation and R programming of forest spatial structure based on the relationship of neighborhood trees: a case study of typical secondary forests in the mid-altitude zone of the Qinling Mountains, China. Doctoral Thesis. Yangling: Northwest A&F University, 15 p. (in Chinese)

[7]

Cherubini P, Battipaglia G, Innes JL. Tree vitality and forest health: can tree-ring stable isotopes be used as indicators?. Curr for Rep, 2021, 7(2): 69-80

[8]

de Conto T, Armston J, Dubayah R. Characterizing the structural complexity of the Earth’s forests with spaceborne lidar. Nat Commun, 2024, 15(1): 8116

[9]

Delisle-Boulianne S, Fortin M, Achim A, Pothier D. Modelling stem selection in northern hardwood stands: assessing the effects of tree vigour and spatial correlations using a copula approach. Forestry (Lond), 2014, 87(5607-617

[10]

Dong LB, Wei HY, Liu ZG. Optimizing forest spatial structure with neighborhood-based indices: four case studies from Northeast China. Forests, 2020, 11(4): 413

[11]

Duan CY, Li MY, Zhang C, Gong XW, Zhu JJ, Cao Y, Wu DD, Hao GY. Thinning effectively mitigates the decline of aging Mongolian pine plantations by alleviating drought stress and enhancing plant carbon balance. Environ Exp Bot, 2023, 213 105434

[12]

Einzmann K, Atzberger C, Pinnel N, Glas C, Böck S, Seitz R, Immitzer M. Early detection of spruce vitality loss with hyperspectral data: results of an experimental study in Bavaria, Germany. Remote Sens Environ, 2021, 266 112676

[13]

Farooq TH, Yan W, Rashid MHU, Tigabu M, Gilani MM, Zou XH, Wu PF. Chinese fir (Cunninghamia lanceolata) a green gold of China with continues decline in its productivity over the successive rotations: a review. Appl Ecol Envt Res., 2019, 17(511055-11067

[14]

Forest Resources Administration (2017) Regulations for age-class and age-group division of main tree-species (LY/T 2908–2017). National Forestry Administrations, Beijing. (in Chinese).

[15]

Glencross KS, Nichols JD, Grant JC, Sethy M, Smith RGB. Spacing affects stem form, early growth and branching in young whitewood (Endospermum medullosum) plantations in Vanuatu. Int Forum Rev, 2012, 14(4): 442-451

[16]

Gorgolewski A, Cockwell M, McCay T, Moreau G, Caspersen J. Tree marking guidelines for northern hardwoods: a review of criteria for assessing vigour and quality. Fortschr Chron, 2024, 100(1): 107-115

[17]

Grulke N, Bienz C, Hrinkevich K, Maxfield J, Uyeda K. Quantitative and qualitative approaches to assess tree vigor and stand health in dry pine forests. For Ecol Manage, 2020, 465 118085

[18]

Hartmann H, Beaudet M, Messier C. Using longitudinal survival probabilities to test field vigour estimates in sugar maple (Acer saccharum Marsh.). For Ecol Manage, 2008, 256(10): 1771-1779

[19]

He H. Measurement of tree-ring width with WinDENDRO and crossdating methods. J Chongqing Teach Coll Nat Sci Ed, 2005, 22(4): 39-44

[20]

Heidenreich MG, Seidel D. Assessing forest vitality and forest structure using 3D data: a case study from the Hainich National Park, Germany. Front Forum Glob Change, 2022, 5 929106

[21]

Heidenreich MG, Höwler K, Seidel D. Towards an objective assessment of tree vitality: a case study based on 3D laser scanning. Trees, 2024, 38(4): 927-940

[22]

Hein S, Weiskittel AR, Kohnle U. Branch characteristics of widely spaced Douglas-fir in south-western Germany: comparisons of modelling approaches and geographic regions. For Ecol Manage, 2008, 256(5): 1064-1079

[23]

Holmes RL. Computer-assisted quality control in tree-ring dating and measurement. Tree Ring Bull, 1983, 43(1): 69-75

[24]

Jazbec A, Ugarković D, Ognjenović M, Vedriš M. Influence of tree attributes on silver fir (Abies alba Mill.) transitioning to higher defoliation classes determined by logistic regression. Forests, 2023, 14(7 1322

[25]

Jiang Y, Huang YC, Lin HZ, Wu PF, Li M, Ma XQ. Effects of pruning on tree growth and timber type structure of middle-aged Chinese fir plantation. J Environ, 2024, 44(1): 13-19

[26]

Jiao L, Liu XP, Wang SJ, Chen K. Radial growth adaptability to drought in different age groups of Picea schrenkiana Fisch. & C.A. Mey in the Tianshan Mountains of northwestern China. Forests, 2020, 11(4 455

[27]

Jonard M, André F, Giot P, Weissen F, Van der Perre R, Ponette Q. Thirteen-year monitoring of liming and PK fertilization effects on tree vitality in Norway spruce and European beech stands. Eur J for Res, 2010, 129(6): 1203-1211

[28]

Kaufmann MR, Watkins RK. Characteristics of high- and low-vigor lodgepole pine trees in old-growth stands. Tree Physiol, 1990, 7(1_2_3_4): 239-246

[29]

Li QC, Liu ZL, Jin GZ. Impacts of stand density on tree crown structure and biomass: a global meta-analysis. Agric for Meteorol, 2022, 326 109181

[30]

Li XY, Duan AG, Zhang JG. Site index for Chinese fir plantations varies with climatic and soil factors in southern China. J Forestry Res, 2022, 33: 1765-1780

[31]

Ma Q, Su YJ, Hu TY, Jiang L, Mi XC, Lin LX, Cao M, Wang XG, Lin F, Wang BJ, Sun ZH, Wu J, Ma KP, Guo QH. The coordinated impact of forest internal structural complexity and tree species diversity on forest productivity across forest biomes. Fundam Res, 2024, 4(5): 1185-1195

[32]

Milojevic M, Nikolic A, Jüni P, Head SJ. A statistical primer on subgroup analyses. Interact Cardiovasc Thorac Surg, 2020, 30(6): 839-845

[33]

Mo C, Song WL, Li WG, Wang GL, Li YK, Huang JP. Real-time instance segmentation of tree trunks from under-canopy images in complex forest environments. J Forestry Res, 2025, 36 28

[34]

Moreau E, Bédard S, Moreau G, Pothier D. Relationships between tree vigor indices and a tree classification system based upon apparent stem defects in northern hardwood stands. Forests, 2018, 9(10): 588

[35]

Mosca E, Montecchio L, Barion G, Dal Cortivo C, Vamerali T. Combined effects of thinning and decline on fine root dynamics in a Quercus robur L. forest adjoining the Italian Pre-Alps. Ann Bot, 2017, 119(71235-1246

[36]

Muggeo VMR. Estimating regression models with unknown break-points. Stat Med, 2003, 22(19): 3055-3071

[37]

Muggeo VMR (2018) Segmented: An R package to fit regression models with broken-line relationships. R News 8(1):20–25

[38]

Nakajima H, Kume A, Ishida M, Ohmiya T, Mizoue N. Evaluation of estimates of crown condition in forest monitoring: comparison between visual estimation and automated crown image analysis. Ann for Sci, 2011, 68(8): 1333-1340

[39]

Ognjenović M, Levanič T, Potočić N, Ugarković D, Indir K, Seletković I. Interrelations of various tree vitality indicators and their reaction to climatic conditions on a european beech (Fagus sylvatica L.) plot. J For Soc Croat., 2020, 144(7–8): 351-365

[40]

Ognjenović M, Seletković I, Potočić N, Marušić M, Tadić MP, Jonard M, Rautio P, Timmermann V, Lovreškov L, Ugarković D. Defoliation change of European beech (Fagus sylvatica L.) depends on previous year drought. Plants, 2022, 11(6 730

[41]

Potočić N, Ćosić T, Pilaš I. The influence of climate and soil properties on calcium nutrition and vitality of silver fir (Abies alba Mill.). Environ Pollut, 2005, 137(3): 596-602

[42]

Pretzsch H. Tree growth as affected by stem and crown structure. Trees, 2021, 35(3): 947-960

[43]

Pretzsch H, Ahmed S, Jacobs M, Schmied G, Hilmers T. Linking crown structure with tree ring pattern: methodological considerations and proof of concept. Trees, 2022, 36(4): 1349-1367

[44]

Qi X, Fang KY, Du HB, He JN, He HS, Wu ZF. Age-related growth responses of birch to warming along an elevational gradient on Changbai Mountain. Eur J for Res, 2022, 141(2): 293-305

[45]

Ran X, Qiao SQ, Zhang Y, Gao XK, Du YW, Liu BX, Ma CM, Mu HX. Study on the causes of growth differences in three conifers after the rainy season in the Xiongan New Area. Front Plant Sci, 2023, 14: 1176142

[46]

Rukh S, Krüger I, Potočić N, Timmermann V, Bolte A. Does climate drive the defoliation of European beech (Fagus sylvatica L.)?. For Ecol Manage, 2024, 572 122232

[47]

Rybníček M, Čermák P, Žid T, Kolář T, Trnka M, Büntgen U. Exploring growth variability and crown vitality of sessile oak (Quercus petraea) in the Czech republic. Geochronometria, 2015, 42(1): 17-27

[48]

Samuele DP, Filippo S, Enrico BM. A new index for assessing tree vigour decline based on sentinel-2 multitemporal data application to tree failure risk management. Remote Sens Lett., 2020, 12(158-67

[49]

Sánchez-Salguero R, Camarero JJ, Dobbertin M, Fernández-Cancio Á, Vilà-Cabrera A, Manzanedo RD, Zavala MA, Navarro-Cerrillo RM. Contrasting vulnerability and resilience to drought-induced decline of densely planted vs. natural rear-edge Pinus nigra forests. For Ecol Manage, 2013, 310: 956-967

[50]

Tian DL, Xiang WH, Chen XY, Yan WD, Fang X, Kang WX, Dan XW, Peng CH, Peng YY. A long-term evaluation of biomass production in first and second rotations of Chinese fir plantations at the same site. Forestry (Lond), 2011, 84(4): 411-418

[51]

Vacchiano G, Garbarino M, Borgogno Mondino E, Motta R. Evidences of drought stress as a predisposing factor to Scots pine decline in Valle d’Aosta’aosta (Italy). Eur J for Res, 2012, 131(4): 989-1000

[52]

van der Maaten E, Stolz J, Thurm EA, Schröder J, Henkel A, Leinemann L, Profft I, Voth W, van der Maaten-Theunissen M. Long-term growth decline is not reflected in crown condition of European beech after a recent extreme drought. For Ecol Manage, 2024, 551 121516

[53]

Visser H, van der Maaten-Theunissen M, van der Maaten E. BAI BAI bias–an evaluation of uncertainties in calculating basal area increments from cores. Dendrochronologia, 2023, 78 126066

[54]

Wang CS, Zeng J. Research advances in forest tree pruning. World Res, 2016, 29(3): 65-70

[55]

Wang XF, Piantadosi S, Le-Rademacher J, Mandrekar SJ. Statistical considerations for subgroup analyses. J Thorac Oncol, 2021, 16(3): 375-380

[56]

Winter S, Höfler J, Michel AK, Böck A, Ankerst DP. Association of tree and plot characteristics with microhabitat formation in European beech and Douglas-fir forests. Eur J for Res, 2015, 134(2): 335-347

[57]

Xiang WH, Xu L, Lei PF, Ouyang S, Deng XW, Chen L, Zeng YL, Hu YT, Zhao ZH, Wu HL, Zeng LX, Xiao WF. Rotation age extension synergistically increases ecosystem carbon storage and timber production of Chinese fir plantations in Southern China. J Environ Manage, 2022, 317 115426

[58]

Xu CX, Zhao YR, An WL, Zhao QY, Liu YC, Sano M, Nakatsuka T. Method to measure tree-ring width, density, elemental composition, and stable carbon and oxygen isotopes using one sample. J Forestry Res, 2024, 35 56

[59]

Zarnoch SJ, Bechtold WA, Stolte KW. Using crown condition variables as indicators of forest health. Can J for Res, 2004, 34(5): 1057-1070

[60]

Zhang LL, Tan XJ, Si FF, Zhang HC, Li AX, Pan WT. Path analysis of canopy morphological factors and growth form quality of Chinese fir plantation with different forest ages. Acta Agric Univ Jiangxiensis, 2023, 45(4): 894-904

[61]

Zhao XL, Xie PL, Xin YT, Fan JF, Wan P, Ma HJ. Optimal management for promoting growth of poplar plantations: insights from canopy structure and light environment. J Forestry Res, 2025, 36: 109

[62]

Zhu DM, Liu Y, Chen JH, Jiang PK. Long-term successive rotation affects soil microbial resource limitation and carbon use efficiency in Chinese fir (Cunninghamia lanceolata) monoculture plantations. For Ecol Manage, 2023, 540 121037

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