| [1] |
Guo Y, Ouyang X, Pan P, Liu J, Liu C. 2025. Construction of stand density management diagrams and silvicultural simulation for different stand types of Chinese fir in the mid-subtropics. |
| [2] |
Palahí M, Pukkala T, Kasimiadis D, Poirazidis K, Papageorgiou AC. 2008. Modelling site quality and individual-tree growth in pure and mixed Pinus brutia stands in north-east Greece. |
| [3] |
Sharma M, Reid DEB. 2018. Stand height/site index equations for jack pine and black spruce trees grown in natural stands. |
| [4] |
Peay WS, Bullock BP, Montes CR. 2022. Growth and yield model comparisons for mid-rotation loblolly pine (Pinus taeda L.) plantations in the southeastern US. |
| [5] |
Li X, Duan A, Zhang J. 2024. Influence of stand density, site, age, and competition on the timber assortment structure of Chinese fir plantations. |
| [6] |
Wang D, Li J, Tang T. 2022. Determining the optimal density of Phoebe bournei plantations based on dynamic programming under close-to-nature management measures. |
| [7] |
Fu L, Lei X, Sharma RP, Li H, Zhu G, et al. 2018. Comparing height − age and height − diameter modelling approaches for estimating site productivity of natural uneven-aged forests. |
| [8] |
Kimberley MO, Watt MS, Harrison D. 2017. Characterising prediction error as a function of scale in spatial surfaces of tree productivity. |
| [9] |
Chen G, Zhu G, Fu L, Liu J, Huang L, et al. 2026. Using coupled soil nutrients as dummy variables can improve the predictive performance of stand basal area growth model for subtropical Chinese fir plantations. |
| [10] |
Yan X, Feng L, Sharma RP, Duan G, Pang L, et al. 2024. Evaluating forest site quality using the biomass potential productivity approach. |
| [11] |
Ruiz-Benito P, Gómez-Aparicio L, Paquette A, Messier C, Kattge J, et al. 2014. Diversity increases carbon storage and tree productivity in Spanish forests. |
| [12] |
He J, Fan C, Geng Y, Zhang C, Zhao X, et al. 2022. Assessing scale-dependent effects on Forest biomass productivity based on machine learning. |
| [13] |
Hua W, Qiu T, Jiang X, Pan J, Li B. 2025. The estimation of carbon storage and volume in forest stands: a model incorporating species composition and site quality. |
| [14] |
Krefta SM, Hess AF, Atanazio KA, Da Silveira AC, Schorr LPB, et al. 2021. A density management diagram for even-aged Eucalyptusdunnii stands in southern Brazil. |
| [15] |
Persson M, Bader MKF, Holmström E. 2024. Exploring the interplay between within-stand variation and thinning practices in southern Sweden. |
| [16] |
Fu L, Sharma RP, Zhu G, Li H, Hong L, et al. 2017. A basal area increment-based approach of site productivity evaluation for multi-aged and mixed forests. |
| [17] |
Liu X, Duan G, Chhin S, Lei X, Wang D, et al. 2021. Evaluation of potential versus realized site productivity of Larix principis-rupprechtii plantations across northern China. |
| [18] |
He X, Luo G, Gao W, Li H, Zeng W, et al. 2025. Carbon sequestration potentiality of Pinus tabuliformis pure forest in Zhongtiaoshan forestry bureau of Shanxi province. |
| [19] |
Zheng X, Wang H, Dong C, Lou X, Wu D, et al. 2024. Tree height estimation of Chinese fir forests based on geographically weighted regression and forest survey data. |
| [20] |
Li Y, Zhang B, Qin S, Li S, Huang X. 2008. Review of research and application of forest canopy closure and its measuring methods. |
| [21] |
Wang C, Wu B, Dong C, Liu J. 2017. Study on the R-based dynamic construction techniques for stand density management diagrams. Nature Environment and Pollution Technology 16:1165−1173 |
| [22] |
Xiang Y, Zheng X, Liu B, Zhao N, Hou S. 2014. Establishment of carbon storage density management diagram for Chinese fir in Jiangle forest farm of Fujian province. Journal of Northwest A&F University(Natural Sciences Edition) 42(8):99−104 (in Chinese) |
| [23] |
Bailey RL, Clutter JL. 1974. Base-age invariant polymorphic site curves. |
| [24] |
Cao Y, Sun Y. 2017. Generalized algebraic difference site index model for Chinese fir plantation. |
| [25] |
Cieszewski CJ, Bailey RL. 2000. Generalized algebraic difference approach: theory based derivation of dynamic site equations with polymorphism and variable asymptotes. |
| [26] |
López-Sánchez CA, Álvarez-González JG, Diéguez-Aranda U, Rodríguez-Soalleiro R. 2015. Modelling dominant height growth in plantations of Pseudotsuga menziesii (Mirb.) Franco in Spain. |
| [27] |
Castillo-López A, Santiago-García W, Vargas-Larreta B, Quiñonez-Barraza G, Solis-Moreno R, et al. 2018. Dynamic site index models for four pine species in Oaxaca. |
| [28] |
Trim KR, Coble DW, Weng Y, Stovall JP, Hung IK. 2020. A new site index model for intensively managed loblolly pine (Pinus taeda) plantations in the west gulf coastal plain. |
| [29] |
Scolforo HF, de Castro Neto F, Scolforo JRS, Burkhart H, McTague JP, et al. 2016. Modeling dominant height growth of eucalyptus plantations with parameters conditioned to climatic variations. |
| [30] |
Seki M, Sakici OE. 2017. Dominant height growth and dynamic site index models for Crimean pine in the Kastamonu–Taşköprü region of Turkey. |
| [31] |
Niu Y, Dong L, Li F. 2020. Site index model for Larix olgensis plantation based on generalized algebraic difference approach derivation. |
| [32] |
Gong Y, Sun Y, Dong C, Hu Y, Gao W. 2023. Site quality evaluation of Cunninghamia lanceolata plantation based on generalized algebraic difference approach and factor selection. |
| [33] |
Jang J. 2009. A study on applying dynamic programming to selection of thinning pathway for Pinus Koraiesis Stand. Journal of Korean Society of Forest Science 98:225−230 |
| [34] |
Li X, Tang S, Wang S. 1988. The establishment of variable density yield table for Chinese fir plantation in DaGangshan experiment bureau. Forest Research 1:382−389 |
| [35] |
Daniels RF. 1976. Simple competition indices and their correlation with annual loblolly pine tree growth. |
| [36] |
Beteta-Montaño E, Santiago-García W, Rodríguez-Ortiz G, Suárez-Mota ME, Aquino-Ramírez M, et al. 2022. Fit and validation of models for growth of dominant height and site indices for Pinus oaxacana in Southern Mexico. |
| [37] |
Stefanello FR, Netto SP, Behling A, Madi JPS. 2024. Site index curves using the generalized algebraic difference approach – Gada in planted forests of Pinus taeda L. in the midwest of Santa Catarina, Brazil. |
| [38] |
Guo Y, Wu B, Liu Y. 2013. Multidimensional data mining using a K-mean algorithm based on the forest management inventory of Fujian Province, China. TELKOMNIKA Indonesian Journal of Electrical Engineering 11(12):7290−7294 |
| [39] |
Lei J, Du H, Duan A, Zhang J. 2019. Effect of stand density and soil layer on soil nutrients of a 37-year-old Cunninghamia lanceolata plantation in Naxi, Sichuan province, China. |
| [40] |
Farooq TH, Ma X, Rashid MHU, Wu W, Xu J, et al. 2019. Impact of stand density on soil quality in Chinese fir (Cunninghamia Lanceolata) monoculture. |
| [41] |
Ginrich SF. 1967. Measuring and evaluating stocking and stand density in upland hardwood forests in the central states. |
| [42] |
Ren L, Xu D, Wu C, Jiao J, Liu R, et al. 2019. Study on parameters of target tree in Chinese fir plantation. |
| [43] |
Sun K, Sun H, Lu G, Fang L, Wan Z, et al. 2023. Study on the effects of stand density management of Chinese fir plantation in Northern China. |
| [44] |
Pan X, Sun S, Hua W, Li J, Zhuang C, et al. 2024. Predicting the stand growth and yield of mixed Chinese fir forests based on their site quality, stand density, and species composition. |
| [45] |
Halbritter A, Deegen P. 2015. A combined economic analysis of optimal planting density, thinning and rotation for an even-aged forest stand. |
| [46] |
Harris NL, Gibbs DA, Baccini A, Birdsey RA, de Bruin S, et al. 2021. Global maps of twenty-first century forest carbon fluxes. |