断面积生长间伐效应模型的研究是林分生长和收获预估模型体系研究摘要的核心内容。
Models on thinning effects on basal growth prediction are the kernel of the model system of stand growth and yield prediction.
通过本文的研究既检验了林窗动态模型又印证了林分密度效应理论。
This not only tested the forest dynamics model but also verified the theory of stand density effect.
通过模型的外检验，蓄积平均精度可达90%以上，林分纯生长量的估计精度可达80%以上。
Through the model external-test, the average precision of volume model was over 90% and the estimation precision of stand net growth was over 80%.
本文以保山市隆阳区杨柳彝族白族乡实地调查的91块云南松林样地数据研究了林分生长模型。
Stand growth model was studied based on 91 sample plots data collected in the Yangliu Township, Longyang District, Baoshan Prefecture.
利用遥感数据和林分立地条件构建的生物量估算模型适用范围有限。
The applicability of the estimate model of the biomass constructed by remote data and stand condition is limited.
在林分生长模型建立中，通过分析变量间的显著影响选择变量。
The variables in stand growth model were selected through analyzing the significant influences among the variables.
因此，在制定正确的森林经营决策之前，首先必须建立林分生长与收获模型，以掌握林分结构、生长动态、货币收获变化规律，并预测林分对即将实施措施的反应。
Thus, the growth and obtain models must be established before making the proper manage decision, the structure and grow dynamic and obtain change rule of the stand will be grasped by the models.
通过大量的省级固定样地资料，对林分生长转移概率模型和进界生长模型进行了参数估计，并对模型进行了比较和修正。
With the data of permanent sample plots, the parameters of transition probability and ingrowth models were estimated, and some models were compared and partly modified.
林木枝下高直接影响树木的生长和树干形状，建立林木枝下高动态模型可以了解林木或林分的生长规律。
Under branch height has direct impact on woods growth and trunks form, so dynamic model established with under branch height can reflect the growth of woods and stands.
结合单木生物量模型和林分直径分布预估模型可以对不同立地、不同林龄下落叶松林分各组分的生物量进行预测。
The biomass of larch plantation of different site conditions and forest ages could be estimated by incorporating the individual tree biomass model and diameter distribution prediction model.
并根据新竹产量与竹林密度和林分年龄组成的非线性相关关系，建立了新竹产量的预测模型。
The model of calculating new culm yield has also been established depending on the nonlinear relationship between new culm yield and bamboo stand density, culm age component.
结果表明：该竞争指标对杉木人工林适用，所建立的单木生长模型符合精度要求，可用于预估林分生长。
Result shows, This competition index is suitable to Chinese fir man-made forest, and individual tree growth model accords with the demands of accuracy, it can be used to estimate growth of stands.
最后，本文还将把人工神经网络建立的林分密度模型用于森林资源资产评估，进行生长收获的预估。
At last, this paper will also apply the stand density model established with artificial neural network in asset assessment of forest resources and the estimation of growth and harvest.
基于以上分析，用动态规划方法建立了可变间伐间隔期的林分经营密度模型。
This study on management density model of the mobile thinning interval overcomes the shortcoming of stationary interval which the former similar researches have, and it is convenient to practice.
另外，对杉木不同初植密度下林分断面积、蓄积和生物量的生长过程进行了分析和模型拟合。
In addition, the paper analyzed and simulated growth process of stand basal area, volume and biomass under different initial planting density for Cunninghamia lanceolate, plantation.
建立在林分的生物量蓄积量线性估计模型可直接应用到区域尺度。
From the theory we can propose that linear estimation model of stand biomass can be directly applied to the regional scale.
同时模型根据土壤水贮量变化来模拟月森林水量平衡，它详细模拟了大气降水，地下水、人工灌溉、林分蒸腾量、渗透水量和土壤水之间的动态变化。
At the same time, in view of the change of soil water storage, it simulates dynamitic change among atmospheric rainfall, groundwater, irrigation, forest transpiration, deep drainage and soil water.
首先选择适宜的生长模型，预估林分的生长量。
First of all, chooses suitable growth model and estimates the plant growth quantity.
还建立了林分密度指数动态预估模型。
And also makes a structure of density of stocking index dynamic estimate model.
还建立了林分密度指数动态预估模型。
And also makes a structure of density of stocking index dynamic estimate model.
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