[1] IUFRO. International Guidelines for Forest Monitoring[R]. IUFRO World Series, Volume 5, Vienna, 1994.
[2] IPCC. IPCC Guidelines for National Greenhouse Gas Inventory[R/OL]. 2006, [2020-12-02]. http://www.ipcc-nggip.iges.or.jp.
[3] FAO. Global Forest Resources Assessment 2020: Guidelines and Specifications[R]. FRA Working Paper 189, Rome, 2018.
[4] Somogyi Z, Cienciala E, Mäkipää R, et al. Indirect methods of large-scale forest biomass estimation[J]. Eur J Forest Res, 2007, 126: 197-207. doi: 10.1007/s10342-006-0125-7
[5] Jagodziński A M, Dyderski M K, Gesikiewicz K, et al. Tree and stand leveles timations of Abies alba Mill aboveground biomass[J]. Annals of Forest Science, 2019, 76: 56. doi: 10.1007/s13595-019-0842-y
[6] Luo Y J, Wang X K, Ouyang Z Y, et al. A review of biomass equations for China’s tree species[J]. Earth SystSci Data, 2020, 12(1): 21-40. doi: 10.5194/essd-12-21-2020
[7] 国家林业局. 立木生物量模型及碳计量参数—落叶松(LY/T 2654—2016)[S]. 北京: 中国标准出版社, 2017.
[8] 国家林业局. 立木生物量模型及碳计量参数—云杉(LY/T 2655—2016)[S]. 北京: 中国标准出版社, 2017.
[9] 国家林业局. 立木生物量模型及碳计量参数—冷杉(LY/T 2656—2016)[S]. 北京: 中国标准出版社, 2017.
[10] 国家林业局. 立木生物量模型及碳计量参数—栎树(LY/T 2658—2016)[S]. 北京: 中国标准出版社, 2017.
[11] 国家林业局. 立木生物量模型及碳计量参数—桦树(LY/T 2659—2016)[S]. 北京: 中国标准出版社, 2017.
[12] Zeng W S. Developing tree biomass models for eight major tree species in China[M]//Tumuluru J S (ed.). Biomass Volume Estimation and Valorization for Energy. Croatia: InTech, 2017. Doi: 10.5772/65664.
[13] Zeng W S. Developing one-variable individual tree biomass models based on wood density for 34 treespecies in China[J]. Forest Research: Open Access, 2018, 7(1): 217-221. doi: 10.4172/2168-9776.1000217
[14] Shiver B D, Brister G H. Tree and stand volume functions for Eucalyptus saligna[J]. Forest Ecology and Management, 1992, 47(s1–4): 211-223.
[15] Chamshama S A O, Mugasha A G, Zahabu E. Stand biomass and volume estimation for Miombo woodlands at Kitulangalo, Morogoro, Tanzania[J]. Southern African Forestry Journal, 2004, 200: 59-69. doi: 10.1080/20702620.2004.10431761
[16] Castedo-Dorado F, Gómez-GarcíaE, Diéguez-ArandaU, et al. Aboveground stand-level biomass estimation: A comparison of two methods for major forest species in north west Spain[J]. Annals of Forest Science, 2012, 69: 735-746. doi: 10.1007/s13595-012-0191-6
[17] Usoltsev V A, Shobairi S O R, Chasovskikh V P. Triple harmonization of transcontinental allometric of Picea spp. and Abies spp. forest stand biomass[J]. Eco Env& Cons, 2018, 24(4): 1966-1972.
[18] Jagodziński A M, Dyderski M K, Gesikiewicz K, et al. How do tree stand parameters affect young Scots pine biomass?-Allometric equations and biomass conversion and expansion factors[J]. Forest Ecology and Management, 2018, 409: 74-83. doi: 10.1016/j.foreco.2017.11.001
[19] Jagodziński A M, Dyderski M K, Gesikiewicz K, et al. Tree- and stand-level biomass estimation in a Larix decidua Mill. chronosequence[J]. Forests, 2018, 9: 587. doi: 10.3390/f9100587
[20] Jagodziński A M, Dyderski M K, Gęsikiewicz K, et al. Effects of stand features of aboveground biomass and biomass conversion and expansion factors based on a Pinus sylvestris L. chronosequence in western Poland[J]. European Journal of Forest Research, 2019, 138: 673-683. doi: 10.1007/s10342-019-01197-z
[21] 方精云, 刘国华, 徐嵩龄. 我国森林植被的生物量和净生产量[J]. 生态学报, 1996, 16(5):497-508.
[22] Fang J Y, Chen A P, Peng C H, et al. Changes in forest biomasscarbon storage in China between 1949 and 1998[J]. Science, 2001, 292: 2320-2322. doi: 10.1126/science.1058629
[23] 侯振宏, 张小全, 徐德应, 等. 杉木人工林生物量和生产力研究[J]. 中国农学通报, 2009, 25(5):97-103.
[24] 王 斌, 刘某承, 张 彪. 基于森林资源清查资料的森林植被净生产量及其动态变化研究[J]. 林业资源管理, 2009,(1):35-42.
[25] Hou Y N, Wu H L, Zeng W X, et al. Conversion parameters for stand biomass estimation of four subtropical forests in southern China[C]. DEStech Transactions on Environment Energy and Earth Science, DEStech Publications, 2017, doi: 10.12783/dteees/eccsd2016/5846.
[26] Mei G Y, Sun Y J, Saeed S. Models for predicting the biomass of Cunninghamia lanceolata trees and stands in southeastern China[J]. PLoS ONE, 2017, 12(1): 1-14. doi: 10.1371/journal.pone.0169747
[27] Zhao M M, Yang J L, Zhao N, et al. Estimation of China’s forest stand biomass carbon sequestration based on the continuous biomass expansion factor model and seven forest inventories from 1977 to 2013[J]. Forest Ecology and Management, 2019, 448: 528-534. doi: 10.1016/j.foreco.2019.06.036
[28] Dong L H, Zhang L J, Li F R. Evaluation of stand biomass estimation methods for major forest types in the eastern Da Xing’an Mountain, northeast China[J]. Forests, 2019, 10: 715. doi: 10.3390/f10090715
[29] 曾伟生. 云南省森林生物量与生产力研究[J]. 中南林业调查规划, 2005, 24(4):1-3, 13.
[30] 欧阳钦. 长沙望城区森林植被生物量及碳储量研究[D]. 长沙: 中南林业科技大学, 2014.
[31] 梁兴军. 济南市森林植被生物量和碳储量调查研究[D]. 济南: 山东师范大学, 2015.
[32] 陈小林. 湖南安仁县森林生态系统生物量和碳贮量研究[D]. 长沙: 中南林业科技大学, 2016.
[33] 曾伟生, 唐守正. 非线性模型对数回归的偏差校正及与加权回归的对比分析[J]. 林业科学研究, 2011, 24(2):137-143.
[34] 张连金, 曾伟生, 唐守正. 用带截距的非线性方程和分段建模方法对立木生物量估计的比较[J]. 林业科学研究, 2011, 24(4):453-457.
[35] 贺东北, 曾伟生, 骆期邦. 通用性二元立木材积模型的建模样本研究[J]. 中南林业调查规划, 2001, 20(1):1-9.
[36] 国家林业局. 立木生物量建模样本采集技术规程(LY/T 2259—2014)[S]. 北京: 中国标准出版社, 2015.
[37] 曾伟生. 加权回归估计中不同权函数的对比分析[J]. 林业资源管理, 2013,(5):55-61.
[38] 曾伟生, 唐守正. 立木生物量模型的优度评价和精度分析[J]. 林业科学, 2011, 47(11):106-113.
[39] Zeng W S, Zhang L J, Chen X Y, et al. Construction of compatible and additive individual-tree biomass models for Pinus tabulaeformis in China[J]. Canadian Journal of Forest Research, 2017, 47: 467-475. doi: 10.1139/cjfr-2016-0342
[40] 曾伟生, 杨学云, 陈新云. 单木和林分水平一元与二元材积模型的预估精度对比[J]. 中南林业调查规划, 2017, 36(4):1-6.
[41] 李海奎, 赵鹏祥, 雷渊才, 等. 基于森林清查资料的乔木林生物量估算方法的比较[J]. 林业科学, 2012, 48(5):44-52. doi: 10.11707/j.1001-7488.20120507