[1] 徐罗, 亢新刚, 郭韦韦, 等. 天然云冷杉针阔混交林立地质量评价[J]. 北京林业大学学报, 2016, 38(5): 11 − 22.

XU Luo, KANG Xin’gang, GUO Weiwei, et al. Site quality evaluation of natural spruce-fir and broadleaf mixed stands [J]. Journal of Beijing Forestry University, 2016, 38(5): 11 − 22.
[2] SKOVSGAARD J P, VANCLAY J K. Forest site productivity: a review of the evolution of dendrometric concepts for even-aged stands [J]. Forestry, 2008, 81(1): 13 − 31.
[3] BAILEY R L, CLUTTER J L. Base-age invariant polymorphic site curves [J]. Forest Science, 1974, 20(2): 155 − 159.
[4] 倪成才, 于福平, 张玉学, 等. 差分生长模型的应用分析与研究进展[J]. 北京林业大学学报, 2010, 32(4): 284 − 292.

NI Chengcai, YU Fuping, ZHANG Yuxue, et al. Application analysis and recent advances of projection growth models [J]. Journal of Beijing Forestry University, 2010, 32(4): 284 − 292.
[5] 王志波, 季蒙, 李永乐, 等. 华北落叶松人工林差分地位指数模型构建[J]. 林业资源管理, 2021(1): 156 − 163.

WANG Zhibo, JI Meng, LI Yongle, et al. Construction of difference site index model for Larix princips-rupprechtii plantation [J]. Forest Resources Management, 2021(1): 156 − 163.
[6] 李斌成, 许业洲, 袁慧, 等. 湖北省日本落叶松差分型立地指数模型构建[J]. 森林与环境学报, 2020, 40(4): 433 − 441.

LI Bincheng, XU Yezhou, YUAN Hui, et al. Construction of a differential site index model for a Larix kaempferi plantation in Hubei Province [J]. Journal of Forest and Environment, 2020, 40(4): 433 − 441.
[7] 曹元帅, 孙玉军. 基于广义代数差分法的杉木人工林地位指数模型[J]. 南京林业大学学报(自然科学版), 2017, 41(5): 79 − 84.

CAO Yuanshuai, SUN Yujun. Generalized algebraic difference site index model for Chinese fir plantation [J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2017, 41(5): 79 − 84.
[8] CIESZEWSKI C J, BAILEY R L. Generalized algebraic difference approach: theory based derivation of dynamic site equations with polymorphism and variable asymptotes [J]. Forest Science, 2000, 46(1): 116 − 126.
[9] MCKENNEY D W, PEDLAR J H. Spatial models of site index based on climate and soil properties for two boreal tree species in Ontario, Canada [J]. Forest Ecology and Management, 2003, 175(1): 497 − 507.
[10] CALAMA R, MONTERO G. Interregional nonlinear height-diameter model with random coefficients for stone pine in Spain [J]. Canadian Journal of Forest Research, 2004, 34(1): 150 − 163.
[11] GONZÁLEZ-RODRÍGUEZ M A, DIÉGUEZ-ARANDA U. Exploring the use of learning techniques for relating the site index of radiata pine stands with climate, soil and physiography [J/OL]. Forest Ecology and Management, 2020, 458(C): 117803[2022-11-01]. doi: 10.1016/j.foreco.2019.117803.
[12] NUNES L, PATRÍCIO M, TOMÉ J, et al. Modeling dominant height growth of maritime pine in Portugal using GADA methodology with parameters depending on soil and climate variables [J]. Annals of Forest Science, 2011, 68(2): 311 − 323.
[13] 郭艳荣, 刘洋, 吴保国. 福建省宜林地立地质量的分级与数量化评价[J]. 东北林业大学学报, 2014, 42(10): 54 − 59.

GUO Yanrong, LIU Yang, WU Baoguo. Evaluating dividing rank and quantification of site quality of suitable land for forest in Fujian Province, China [J]. Journal of Northeast Forestry University, 2014, 42(10): 54 − 59.
[14] 石梦婷, 冯自茂, 郝红科, 等. 陕西洛南油松人工林立地质量评价[J]. 西北林学院学报, 2021, 36(6): 127 − 133.

SHI Mengting, FENG Zimao, HAO Hongke, et al. Site quality evaluation of Pinus tabuliformis plantations in Luonan, Shaanxi [J]. Journal of Northwest Forestry University, 2021, 36(6): 127 − 133.
[15] 高若楠, 谢阳生, 雷相东, 等. 基于随机森林模型的天然林立地生产力预测研究[J]. 中南林业科技大学学报, 2019, 39(4): 39 − 46.

GAO Ruonan, XIE Yangsheng, LEI Xiangdong, et al. Study on prediction of natural forest productivity based on random forest model [J]. Journal of Central South University of Forestry &Technology, 2019, 39(4): 39 − 46.
[16] SCOLFORO H F, FERNANDO D C N, SCOLFORO J R S, et al. Modeling dominant height growth of eucalyptus plantations with parameters conditioned to climatic variations [J]. Forest Ecology and Management, 2016, 380: 182 − 195.
[17] SEKI M, SAKICI O E. Dominant height growth and dynamic site index models for Crimean pine in the Kastamonu-Takprü region of Turkey [J]. Canadian Journal of Forest Research, 2017, 47(11): 1441 − 1449.
[18] 雷相东, 符利勇, 李海奎, 等. 基于林分潜在生长量的立地质量评价方法与应用[J]. 林业科学, 2018, 54(12): 116 − 126.

LEI Xiangdong, FU Liyong, LI Haikui, et al. Methodology and applications of site quality assessment based on potential mean annual increment [J]. Scientia Silvae Sinicae, 2018, 54(12): 116 − 126.
[19] 沈剑波, 雷相东, 雷渊才, 等. 长白落叶松人工林地位指数及立地形的比较研究[J]. 北京林业大学学报, 2018, 40(6): 1 − 8.

SHEN Jianbo, LEI Xiangdong, LEI Yuancai, et al. Comparison between site index and site form for site quality evaluation of Larix olgensis plantation [J]. Journal of Beijing Forestry University, 2018, 40(6): 1 − 8.
[20] 杨海宾, 张茂震, 丁丽霞, 等. 基于最大胸径生长率的浙江省杉木人工林立地质量评价[J]. 浙江农林大学学报, 2020, 37(1): 105 − 113.

YANG Haibin, ZHANG Maozhen, DING Lixia, et al. Site quality evaluation of Cunninghamia lanceolata plantations in Zhejiang Province based on maximum DBH growth rate [J]. Journal of Zhejiang A&F University, 2020, 37(1): 105 − 113.
[21] BREIMAN L. Random forests [J]. Machine Learning, 2001, 45(1): 5 − 32.
[22] 牛亦龙, 董利虎, 李凤日. 基于广义代数差分法的长白落叶松人工林地位指数模型[J]. 北京林业大学学报, 2020, 42(2): 9 − 18.

NIU Yilong, DONG Lihu, LI Fengri. Site index model for Larix olgensis plantation based on generalized algebraic difference approach derivation [J]. Journal of Beijing Forestry University, 2020, 42(2): 9 − 18.
[23] 张沛健, 卢万鸿, 徐建民, 等. 雷琼地区尾细桉人工林立地类型划分及其质量评价[J]. 林业科学研究, 2021, 34(6): 130 − 139.

ZHANG Peijian, LU Wanhong, XU Jianmin, et al. Site classification and quality evaluation of Eucalyptus urophylla×E. tereticornis plantation in Hainan Island and Leizhou Peninsula Region [J]. Forest Research, 2021, 34(6): 130 − 139.
[24] ALVES L F, VIEIR S A, SCARANELLO M A, et al. Forest structure and live aboveground biomass variation along an elevational gradient of tropical Atlantic moist forest (Brazil) [J]. Forest Ecology and Management, 2010, 260(5): 679 − 691.
[25] ASNER G P, HUGHES R F, VARGA T A, et al. Environmental and biotic controls over aboveground biomass throughout a tropical rain forest [J]. Ecosystems, 2009, 12(2): 261 − 278.
[26] QUICHIMBO P, JIMÉNEZ L S, VEINTIMILLA D, et al. Forest site classification in the southern Andean region of Ecuador: a case study of pine plantations to collect a base of soil attributes [J/OL]. Forests, 2017, 8(12): 473[2022-11-01]. doi:10.3390/f8120473.
[27] ALBERT M, SCHMIDT M. Climate-sensitive modelling of site-productivity relationships for Norway spruce (Picea abies (L. ) Karst. ) and common beech ( Fagus sylvatica L. ) [J]. Forest Ecology and Management, 2009, 259(4): 739 − 749.