中西部地区退耕还林还草模式探讨

在将我国退耕还林还草工程区划分为 2个大区 9个类型区的基础上 ,研究了每个大区的退耕还林还草基本技术思路和每个类型区的退耕还林还草模式 ,包括其类型区域范围、自然资源特点、社会经济特点、主要限制因子、基本技术思路、林草类型结构、植被恢复方式、植被恢复技术、主要树种草种、经营管护方式等     

基于时延神经网络的木材干燥模型辨识的研究

木材干燥是一个复杂、多变的过程，传统的系统辨识方法很难建立一个理想的木材干燥模型。利用时延神经网络的特点，本文提出了基于时延神经网络的木材干燥模型辨识方法，并给出了辨识网络和结构。对辨识得到模型的仿真结果表明，利用时延神经网络所建立的模型是可靠且有效的。     

中国木工机械制造业的国际竞争力探讨

首先阐述了我国木工机械制造业的发展现状,然后运用迈克尔.波特的钻石模型对我国木工机械制造业国际竞争力的影响因素进行了深入分析,最后提出提升我国木工机械制造业国际竞争力的几点建议。     

荒漠化程度评价高光谱遥感信息模型

本文用国产高光谱分辨率成像光谱仪系统数据对荒漠化评价建立定量化遥感信息模型。对荒漠化评价因子中的主要定量因子 (植被盖度、生物量和土壤含水率 )进行了定量反演 ;对难于进行定量计算的评价指标 ,先通过目视解译获得各因子的编码图 ,分别进行影像化后参加荒漠化程度评价遥感信息模型计算。通过每个像元都可获取全部评价因子的指标值 ,在现有的荒漠化评价方法的基础上 ,建立以像元为单位的荒漠化程度评价的定量化遥感信息模型并输出荒漠化程度分布图。结果表明 ,用高光谱数据定量反演荒漠化地区植被生物量、盖度和土壤含水率是比较可靠的。当反演区域内灌木和草地同时存在时多项式模型的精度要明显高于线性模型 ;当植被类型单一时 ,模型即为较高精度的线性模型 ,但模型的应用地域范围受到限制 ,只能分块进行计算。因此 ,在只有灌木和草地的区域用多项式模型反演会提高效率。土壤含水量的反演方法适合于地形平坦、植被比较稀疏的条件。但研究发现 ,基于土壤热惯量的含水量模型具有一定的抗植被干扰能力。荒漠化程度评价的遥感信息模型的精度主要取决于现有荒漠化评价的方法 (即评价指标是否科学合理、专家给定的权重和等级标准是否客观 )以及各指标数据的获取精度     

Growth and yield prediction models for Acacia mangium grown in the plantations of the central region of Bangladesh

Acacia mangium is a very fast growing species belonging to the family Leguminosae that has been introduced in the plantations in Bangladesh for its faster growth and wide range of adaptability. The present study aimed at development of growth and yield prediction models for the species using simultaneous equation method. Models were selected for the species to estimate stand dominant height, stand diameter, stand basal area per hectare and total volume yield per hectare. Paired t-test, 45-degree line test, percent absolute deviation and biological principle of stand development were used for the validation of chosen models. The results suggest that the models derived were statistically and biologically acceptable and could be satisfactorily used for stands of Acacia mangium of ages 4–7 yrs based on a base age of 6 yr.     

An inventory of Guadua (Guadua angustifolia) bamboo in the Coffee Region of Colombia

Management of renewable natural resources and the corresponding policy formulation should be founded on reliable data and information. This refers both to information on the resource itself and to information on the market situation. In this paper, we present methodology and major results of an inventory of the Guadua resources, in a study area of about 1 million ha within the Coffee Region of Colombia. This inventory produced for the first time sample-based statistical estimations of the Guadua area and growing stock. In the study area, land cover of Guadua patches was estimated to be 3.9% or about 40,000 ha (minimum patch area 0.3 ha). This is higher than figures published earlier. Estimation for mean number of standing culms (including shoots and dry culms) per hectare was 6,940 with a mean diameter at breast height of 10.8 cm, apparent commercial volume of 654 m3/ha, commercial wood volume of 304 m3/ha, oven-dry biomass of 311 ton/ha, and total carbon stock of 156 ton/ha. While the low-intensity sampling approach worked well and may serve as an example for similar studies, we identified a number of issues for further research, particularly in what refers to as the basic mensurational models for Guadua volume and biomass estimation from inventories.     

贮木场选址模型的研究

建立了一个贮木场选址的数学模型，这个模型将动态经济评价方法，运输网络和贮木场选址有机地结合起来。     

王朗林区人工缺苞箭竹亚层数量特征及其模型

王朗林区人工缺苞箭竹亚层数量特征及其模型刘兴良，向性明（四川省林业科学研究院成都６１００８１）关键词四川王朗，亚高山暗针叶林，亚建群层，缺苞箭竹，大熊猫，仿真造林缺苞箭竹（Ｆａｒｇｅｓｉａｄｅｎｕｄａｔａ）是四川王朗林区亚高山暗针叶林下亚建群层的主要...     

深圳城市公园植物典型配置模式初探

深圳城市公园生境多样,景观类型丰富,造景水平较高;通过对深圳城市公园植物配置实用模式的调查研究,分析了应用植物种类的选择,总结提炼了18种典型的景观单元配置模式,并提出有利于今后发展的相关工作建议。     

Comparing the model forms estimating generalised diameter-height relationships in Tecomella undulata plantations in hot arid region of India

Four generalised diameter-height equations were developed and compared for pure and even-aged stands of Tecomella undulata in hot arid region of Rajasthan State in India. The data used to fit the equations consisted of 1 540 diameter-height observations collected from the plots laid out in uniformly stocked stands of varying age and density. The performance of four equations was tested by non-linear least squares regression and evaluated using different statistical criteria. Finally, these equations, with the same values of coefficients ob- tained during the fitting phase, were validated by an independent data set consisting of 854 diameter-height observations. Overall, equation （4） （Hui and Gadow function） was found to perform best for both the fitting data set as well as validation data set.