江西杉木人工林生物量分配格局及其模型构建

曾伟; 江斌; 余林; 肖复明; 徐海宁

doi:10.3969/j.issn.1000-2006.2016.03.029

曾伟,江斌,余林,肖复明,徐海宁

南京林业大学学报（自然科学版） ›› 2016, Vol. 40 ›› Issue (03) : 177-182.

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南京林业大学学报（自然科学版） ›› 2016, Vol. 40 ›› Issue (03) : 177-182. DOI: 10.3969/j.issn.1000-2006.2016.03.029

研究简报

江西杉木人工林生物量分配格局及其模型构建

曾伟¹,江斌²,余林¹,肖复明^1*,徐海宁¹

作者信息 +

Biomass allocation and its model construction of Cunninghamia lanceolata plantations in Jiangxi Province

ZENG Wei¹, JIANG Bin², YU Lin¹, XIAO Fuming^1*, XU Haining¹

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文章历史 +

摘要

在省级尺度上分析不同林龄杉木生物量数据,以探索江西省杉木人工林生物量的动态分配格局及其准确估算方法。结果表明:江西省杉木人工林生物量变化范围为55.64～165.22 t/hm²,其乔木层生物量占94.2%以上。杉木林及其乔木层生物量随林龄先增加后略微下降,而各林龄的灌木层、草本层和凋落物层生物量均没有显著差异。幼龄林、近熟林、成熟林各组分生物量大小排序均为乔木层>凋落物层>灌木层>草本层,而在中龄林和过熟林中则为乔木层>凋落物层>草本层>灌木层。幼龄林各器官生物量大小排序为树干>叶>根>枝,而其他林龄中的排序均为树干>根>枝>叶。以胸径(D)为单变量的杉木单株生物量(W)模型(W=0.266D^2.069)及以胸径(D)和树高(H)为变量的模型(W=0.046 9(D²H)^{0.906 4})预测值小于测量值,且预测精度R²均为0.84,其精度和预测能力均低于以胸径、林龄(A)、密度(N)为自变量的生物量模型(W=11.497D^1.847A^0.082N^-0.478)。

Abstract

In order to study the dynamic biomass allocation pattern and their accurate estimation methods of Cunninghamia lanceolata plantations in Jiangxi Province, biomass data at different stand ages were analyzed at the provincial scale. Biomass of C. lanceolata plantations in Jiangxi Province ranged from 55.64 to 165.22 t/hm², and biomass at tree layer accounted for more than 94.2%. The biomass of C. lanceolata plantations and their tree layers increased with the increasing of age at first, then decreased. The biomass at shrub layer, herb layer or litter had no significant differences among all different ages. The permutation orders of biomass of each components in young, premature and mature plantations were followed as tree layer > litter layer > shrub layer > herb layer. However, the permutation orders in middle-aged and overage plantations were followed as tree layer > litter layer > herb layer > shrub layer. The permutation order of biomass of each organs in young plantation were followed as trunk > leaf > root > branch, but the permutation orders in other four plantations were followed as trunk > root > branch> leaf. The predicted values by the both an individual biomass model(W=0.266D^2.069), which was based on the independent variable diameter at breast height(D), and a double variable model(W=0.046 9(D²H)^{0.906 4}), which was based on the diameter at breast height(D)and height(H), were all less than the measured values. The prediction accuracy of the two models(R²)were all 0.84, and lower than 0.91 of a three variable model(W=11.497D^1.847A^0.082N^-0.478)which was based on the diameter at breast height(D), age(A)and density(N).

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曾伟,江斌,余林,肖复明,徐海宁. 江西杉木人工林生物量分配格局及其模型构建[J]. 南京林业大学学报（自然科学版）. 2016, 40(03): 177-182 https://doi.org/10.3969/j.issn.1000-2006.2016.03.029

ZENG Wei, JIANG Bin, YU Lin, XIAO Fuming, XU Haining. Biomass allocation and its model construction of Cunninghamia lanceolata plantations in Jiangxi Province[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2016, 40(03): 177-182 https://doi.org/10.3969/j.issn.1000-2006.2016.03.029

中图分类号： S718

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基金

收稿日期:2015-04-12 修回日期:2015-09-10
基金项目:“十二五”国家科技支撑计划(2015BAD09B01-1); 江西省科研院所基础设施配套项目(20123BBA13040); 江西省财政林业重大专项(2011511101); 国家气象公益性行业科研专项项目(GYHY201406034); 江西省林科院青年基金项目(2014521103)
第一作者:曾伟(wuhuanzi@126.com),助理研究员。*通信作者:肖复明(jxxiaofuming@163.com),研究员。
引文格式:曾伟,江斌,余林,等. 江西杉木人工林生物量分配格局及其模型构建[J]. 南京林业大学学报(自然科学版),2016,40(3):177-182.