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作 者:吕常笑 邓华锋[1] 王秋鸟 陈振雄[2] 王雪军[3]
机构地区:[1]北京林业大学林学院,北京100083 [2]国家林业局中南林业调查规划设计院,湖南长沙410014 [3]国家林业局调查规划设计院,北京100714
出 处:《河南农业大学学报》2016年第3期304-310,共7页Journal of Henan Agricultural University
基 金:北京市教育委员会科学研究与科研基地建设项目(省部共建重点实验室);国家林业公益性行业科研专项(201204510)
摘 要:以重庆、四川和湖北省马尾松生物量实测数据为例,利用哑变量方法分析了林分起源、地域对地上生物量及各分项生物量模型的影响,建立了包含起源、地域因子的哑变量通用模型。结果表明,利用哑变量方法分析林分起源、地域因子对地上生物量及各分项生物量模型影响的方法是可行的;树干、干材、树皮和地上生物量模型仅受地域因子的影响;树冠、树枝和树叶生物量受林分起源和地域因子影响相对较大;地上生物量及各分项生物量三元生物量模型预估精度最大,二元生物量模型次之,一元生物量模型最小;考虑地域、起源的哑变量模型,对地上生物量、树干和干材生物量的预估效果最好,树冠、树枝和树皮生物量次之,树叶生物量的预估效果最差。Because of the different regions and forest origin, the total aboveground biomass and the bi- omass of components may have some differenced. Based on the measurement data of biomass from 151 sample trees of Masson pine in Chongqing,Sichuan and Hubei provinces,the author analyzed the influ- ence of the region and forest origin on the aboveground biomass and the biomass of components by u- sing the dummy variable method. And then the author established dummy variable universal models containing the origin and regional factors. The results showed that the method was feasible to analyze the effects of the forest origin and the region on the aboveground biomass and the biomass of compo- nents by using the dummy variable;the influence of the region was relatively large for the biomass of tree trunks,wood, bark and aboveground,while the influence of the origin was relatively slight;The bio- mass of the crown, branches and foliage was greatly influenced by the origin and the region factors;Over- all,the trivariate biomass models had the highest prediction accuracy,following by bivariate biomass mod- els,and univariate biomass models were the worst;For the dummy variable universal models containing the origin and regional factors,aboveground biomass,tree trunks and dry wood had the highest prediction effect,followed by the biomass of the crown,branches and bark,and the biomass of foliage was the worst.
分 类 号:S758[农业科学—森林经理学]
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