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四川柏木人工林林下植被生物量与林分结构的关系
引用本文:金艳强,包维楷.四川柏木人工林林下植被生物量与林分结构的关系[J].生态学报,2014,34(20):5849-5859.
作者姓名:金艳强  包维楷
作者单位:中国科学院成都生物研究所, 山地生态恢复与生物资源利用重点实验室, 成都 610041;中国科学院大学, 北京 100049;中国科学院成都生物研究所, 山地生态恢复与生物资源利用重点实验室, 成都 610041
基金项目:中国科学院战略性先导科技专项(XDA0505020407)
摘    要:森林结构与林下植被生物量的关系是森林持续经营与森林碳计量监测的科学基础,但一直缺乏必要的研究。以四川柏木(Cupressus funebris)人工林为研究对象,揭示林下植被生物量(Wu)、灌木生物量(Ws)和草本生物量(Wh)与林分结构的关系,并试图构建区域性林下植被生物量估测的混合模型。结果表明:(1)乔、灌、草群体共12个结构因子中,灌木群体的平均基径(Ds)、盖度(Cs)、高度(Hs)、体积(Vs)与林下植被生物量关系更紧密,在林下植被生物量模型构建中更有效;(2)多模型拟合与比较表明,柏木林Ws最佳估算模型为Ws=0.0005V1.0411s(R2a=0.762,P0.001,n=40),而Wu的最佳估算模型为ln Wu=0.0158Hs+0.0111Cs-0.5358(R2a=0.695,P0.001,n=40),但对于Wh未能获得较为理想的估算模型(R2a0.410,P0.01,n=40);(3)林分密度(Du)整合进入多元线性模型提高了林下植被生物量的估测精度,ln Wu=a+b Du+c Hs+d Cs(R2a=0.721,P0.001,n=40)。研究为区域性林下生物量估测模型构建提供了新论据。

关 键 词:林下植被  生物量  生物量模型  林分结构  柏木林
收稿时间:2013/1/21 0:00:00
修稿时间:2014/7/29 0:00:00

Relationships of the understory biomass with stand structure of the Sichuan cypress plantation forests across Sichuan Basin, China
JIN Yanqiang and BAO Weikai.Relationships of the understory biomass with stand structure of the Sichuan cypress plantation forests across Sichuan Basin, China[J].Acta Ecologica Sinica,2014,34(20):5849-5859.
Authors:JIN Yanqiang and BAO Weikai
Institution:Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China;University of Chinese Academy of Sciences, Beijing 100049, China;Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
Abstract:The understory biomass (Wu) and its relationships with stand structure are paramount important for sustainable management and carbon accounting for forest ecosystem, but until now it remains poorly understood. Therefore we selected Sichuan cypress (Cupressus funebris) plantation forests across Sichuan basin, southwestern China, to explore the correlations of Wu with stand structure and to establish the regional estimation models for Wu and its components-Shrub biomass (Ws) and herbaceous biomass (Wh). We tried to answer two questions: which structural parameters would relate closely to the Wu, Ws and Wh and therefore can be integrated into the biomass estimation models, respectively, and whether the fit estimation models by integrating the overstory parameter could be better to predict Wu across the region. We employed plot methods to survey the stand structure including tree, shrub and herbaceous layers and the Wu, Ws and Wh of below-and above-ground on fourteen Sichuan cypress forests from 12 counties in Sichuan basin. Pearson correlation analysis was applied to explore the relationships of the Wu, Ws and Wh with all 12 structural parameters and five models were selected to simulate and screen the fitted biomass estimation equations. Our data displayed that the Wu and Ws had significant correlations with the percentage cover (Cs), average height (Hs) and the projected volume (Vs =Cs×Hs) of shrubs, it was closer than that with other structural parameters including stand density (Du). Among all fitting equations, the power equation was the best one to estimate the shrub biomass: Ws=0.0005V1.0411s (Ra2=0.762, P < 0.001, n=40), and the multiple linear regression model to the understory biomass: lnWu=0.0158Hs+0.0111Cs-0.5358 (Ra2=0.695, P < 0.001, n=40). We did not find suitable fitting model to estimate the herbaceous biomass across the Sichuan cypress plantation due to the adjusted coefficient no more than 0.410 (Ra2 < 0.410, P < 0.01, n=40). An important finding was that integrating Du into the multiple linear regression model could improve the estimation accuracy for Wu across the region (lnWu=a+bDu+cHs+dCs, Ra2=0.721, P < 0.001, n=40). We concluded that Wu is important and can be better predicted by Cs, Hs or Vs with Du for the Sichuan cypress plantation forests across Sichuan basin, providing new insight to develop the understory biomass estimation models for the regional forest carbon accounting system.
Keywords:understory  biomass  regression model  forest structure  Cupressus funebris
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