Morphological variance and natural types' division of plus trees ofLarix principis-rupprechtii Mayr.

The phenotypic characteristics of the plus trees ofLarix principis-rupprechtii such as stem form, branch angle, branch/stem ratio, branch density, the crown width, crown length, number of short branch over 5-cm branch segment in length, and the leaf number of each short branch were investigated in seed orchard in the Changcheng Mountain, Shaanxi Province. According to the morphological characters, the plus tree clones ofLarix principis-rupprechtii were classified into 4 natural types: the narrow-dense-crown type, wide-dense-crown type, wide-sparse-crown type, and the narrow-sparse-crown type. The result of the cluster analysis showed there was a very significant difference in tree growth among the four natural types. While comparing the tree growth of four natural types for the last ten years, it was found that the performance order of various types from good to bad is as follows: the narrow-dense crown type > the wide-dense crown type > the wide-sparse crown type > the narrow-sparse crown type. The plus trees of narrow-dense-crown, as a fine type, should be paid great attention to production and prepared to popularize. Biography: ZHANG Xin-bo (1956-), male, Senior engineer of Shanxi Academy of Forestry Science and Northern Research Institute of Forestry of China, Taiyuan 030012, P. R. China Responsible editor: Chai Ruihai     

A fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights

Abstract

We propose a conceptual (generic) allometric (power function) relationship between tree-size-related forest inventory attributes (e.g. biomass, volume, basal area, quadratic mean diameter, Lorey's height) and canopy height (CH) as estimated from first-return airborne light detection and ranging (LiDAR) pulses. A data-driven estimation of the parameters in the power function is complicated, so we recommend an alternative approximation obtained via a linearisation step. Only two predictors appear in the approximation: the mean CH and the variance of CHs within the spatial domain supported by field data. The proposed model eliminates an otherwise complex search for the best predictors amongst a large number of candidate LiDAR metrics. It also facilitates model comparisons and interpretation. Fit statistics estimated for volume, basal area, quadratic mean diameter and Lorey's height – using three separate datasets from Norway – were compelling.     

思茅松容器苗育苗基质研究

在普文试验林场中心苗圃开展的思茅松容器苗育苗基质试验,经对苗木的苗高、地径、主根长等6个生长指标在8个不同处理基质上的测定结果进行方差分析和多重比较分析,结果表明:蔗渣 阔叶锯末 牛粪混合基质对思茅松育苗效果较好,在苗木根系生长和全株生物量方面超过了进口丹麦基质的育苗效果.     

油松采脂对林木生长的影响初探

通过对山西省太岳林区油松采脂试验标地的研究,结果表明:连续2 a采脂对林木胸径和材积生长影响明显,导致林木平均胸径和材积生长率分别降低1.34%、18.62%;连续2 a采脂对树高也存在一定程度的影响,但影响不显著,树高生长率大约降低0.92%。     

不同施肥处理对西南桦幼林生长影响研究

通过设计N、P、K、NP、NK、KP、NPK 和CK肥等8个施肥处理,重复3次,进行不同肥料对西南桦幼林树高和胸径生长影响试验,通过单因素方差分析和多种比较结果表明:施肥能促进幼林的生长和发育,以NP肥促进作用最大;不同施肥处理高生长和胸径生长差异显著;幼树生长基本趋势是随林龄增长生长逐渐加快;西南桦生长与当地气候关系密切.     

马尾松胶合板材用材林优良家系生长与物理力学性质的研究

通过对不同家系马尾松的生长和物理力学性质研究,结果表明,采用经过遗传改良的良种造林,能使马尾松人工林生产力大大提高,从而缩短大径材的培育年限,达到良好的增产效果,提高经济效益.结合材性分析结果,培育优质胶合板材的马尾松优良家系主要有建瓯南雅-24、建瓯川石-3、连城-48、龙岩-61、南平-85、南平-86、连城-50、建瓯川石-4家系.     

中国原木进口与木质林产品出口的动态分析

1992-2014年中国木质林产品出口总值增长37.7倍,年均增长率达到17.94%;而原木进口总值增长25.6倍,年均增长率为15.89%。原木进口与木质林产品出口存在相同的增长趋势。文中以原木进口总值和木质林产品出口总值数据为基础建立VECM模型,并通过正交化脉冲响应函数和方差分解分析证明,中国原木进口与林产品出口之间存在正相关关系,原木进口显著推动了中国木质林产品的出口,但原木的供应不足也将制约林产品出口规模的进一步扩大。因此,缓解原木供求矛盾和优化林产品出口结构成为推动林产品贸易健康发展亟待解决的问题。     

SPSS软件在林业试验数据方差分析中的应用

简介SPSS软件及其方差分析功能。举例阐述单向分组、两向分组、系统分组及多元数据方差分析的数据录入及分析过程,认为SPSS软件的应用可提高林业科学试验数据统计分析的质量和效率。     

The effect of accidental selfing on the analysis of a diallel cross with sugar cane

Summary The diallel cross was found to be an unsuitable design for quantitative genetic analyses with sugar cane.Accidental selfing caused substantial inbreeding depression for most characters. Consequently, analysis of a diallel cross without regard to the effect of accidental selfing would be subject to bias, if accidental selfing were common. A selfing model proposed by Dudley (1963) was extended to include differential selfing, and was tested in an experiment in which the percentage of selfing in each cross was estimated visually.Variance components had large standard errors, which prevented firm conclusions from being drawn, but selfing appeared to cause substantial bias in the estimates. Estimates of genetic variance components from a p(p-1) diallel set, using the extended selfing model, were compared with estimates obtained from the standard analyses in which reciprocal or maternal effects should account for the effect of selfing. The estimates were comparable, but the standard analyses were simpler and produced estimates with lower standard errors.When the effects of selfing were minimized, general combining ability (g.c.a.) effects appeared to be much more important than specific combining ability (s.c.a.) effects for most characters.