[1] Sabatia CO, Will RE, Lynch TB. Effect of thinning on aboveground biomass accumulation and distribution in naturally regenerated short leaf pine. Southern Journal of Applied Forestry, 2009, 33: 188-192 [2] Mu CC, Wang B, Lu HC, et al. Short-term effects of harvesting on carbon storage of boreal Larix gmelinii-Carex schmidtii forested wetlands in Daxing’anling, northeast China. Forest Ecology and Management, 2013, 293: 140-148 [3] Caldeira K, Duffy PB. The role of the Southern Ocean in uptake and storage of anthropogenic carbon dioxide. Science, 2000, 287: 620-622 [4] 王效科, 冯宗炜, 欧阳志云. 中国森林生态系统的植物碳储量和碳密度研究. 应用生态学报, 2001, 12(1): 13-16 [5] Wang CK. Biomass allometric equations for 10 co-occurring tree species in Chinese temperate forests. Forest Ecology and Management, 2006, 222: 9-16 [6] 宋博, 李凤日, 董利虎, 等. 黑龙江西部地区人工小黑杨立木可加性生物量模型. 北京林业大学学报, 2018, 40(11): 58-68 [7] Parresol BR. Additivity of nonlinear biomass equations. Canadian Journal of Forest Research, 2001, 31: 865-878 [8] Bronisz K, Mehtätalo L. Seemingly unrelated mixed-effects biomass models for young silver birch stands on post-agricultural lands. Forests, 2020, 11: 381 [9] Dong LH, Zhang LJ, Li FR. A compatible system of biomass equations for three conifer species in Northeast, China. Forest Ecology and Management, 2014, 329: 306-317 [10] 董利虎, 李凤日, 贾炜玮. 东北林区天然白桦相容性生物量模型. 林业科学, 2013, 49(7): 75-85 [11] Xiao X, White EP, Hooten MB, et al. On the use of log-transformation vs. nonlinear regression for analyzing biological power-laws. Ecology, 2011, 92: 1887-1894 [12] Cao L, Li HK. Analysis of error structure for additive biomass equations on the use of multivariate likelihood function. Forests, 2019, 10: 298 [13] Zhao DH, Westfall JA, Coulston JW, et al. Additive biomass equations for slash pine trees: Comparing three modeling approaches. Canadian Journal of Forest Research, 2019, 49: 27-40 [14] Fu LY, Lei YC, Wang GX, et al. Comparison of see-mingly unrelated regressions with error-in-variable mo-dels for developing a system of nonlinear additive biomass equations. Trees, 2016, 30: 839-857 [15] 韦程东. 贝叶斯统计分析及其应用. 北京: 科学出版社, 2015 [16] 王冬至, 张冬燕, 李永宁, 等. 基于贝叶斯法的针阔混交林树高与胸径混合效应模型. 林业科学, 2019, 55(11): 85-94 [17] 张雄清, 张建国, 段爱国. 杉木人工林林分断面积生长模型的贝叶斯法估计. 林业科学研究, 2015, 28(4): 538-542 [18] Xie LF, Li FR, Zhang LJ, et al. A Bayesian approach to estimating seemingly unrelated regression for tree biomass model systems. Forests, 2020, 12: 1302 [19] Zapata-Cuartas M, Sierra CA, Alleman L. Probability distribution of allometric coefficients and Bayesian estimation of aboveground tree biomass. Forest Ecology and Management, 2012, 277: 173-179 [20] Lu LL, Wang HC, Chhin S, et al. A Bayesian model averaging approach for modelling tree mortality in relation to site, competition and climatic factors for Chinese fir plantations. Forest Ecology and Management, 2019, 440: 169-177 [21] 国家林业和草原局. 中国森林资源报告(2014—2018). 北京: 中国林业出版社, 2019: 50-57 [22] Dong LH, Zhang LJ, Xie LF, et al. Comparison of tree biomass modeling approaches for larch (Larix olgensis Henry) trees in northeast China. Forests, 2020, 11: 202 [23] Rossi PE, Allenby GM, McCulloch R. Bayesian Statistics and Marketing. London: John Wiley & Sons, 2005 [24] Zellner A, Ando T. A direct Monte Carlo approach for Bayesian analysis of the seemingly unrelated regression model. Journal of Econometrics, 2010, 159: 33-45 [25] Luo YJ, Wang XK, Ouyang ZY, et al. A review of biomass equations for China’s tree species. Earth System Science Data, 2020, 12: 21-40 [26] Heidelberger P, Welch PD. Simulation run length control in the presence of an initial transient. Operations Research, 1983, 31: 1109-1144 [27] Jeffreys H. An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London, 1946, 186: 453-461 [28] Madgwick HAI, Satoo T. On estimating the aboveground weights of tree stands. Ecology, 1975, 56: 1446-1450 [29] Zianis D, Xanthopoulos G, Kalabokidis K, et al. Allometric equations for aboveground biomass estimation by size class for Pinus brutia Ten. trees growing in North and South Aegean Islands, Greece. European Journal of Forest Research, 2011, 130: 145-160 |