CAR模型和VAR模型是生物量模型研究与应用中最为常用的基本形式。
The CAR(Constant Allometric Ratio) and VAR(Variable Allometric Ratio) models were two basic biomass models most widely used in research and applications.
从建立全国立木生物量模型的实际需求出发，对建模样本数据的采集方法进行专题研究。
The sample collection approach for modeling of single-tree biomass equations was studied in this paper.
通过三种生物量模型和碳储量估测效果的比较分析，希望为今后生物量模型的选择和研究提供一定的参考。
The comparing analysis of three biomass models will provide some references for model selection and research of biomass later.
最后以大气校正影像的S函数模型为云南松地上生物量模型估算了研究区域云南松林的地上生物量和碳储量。
Finally, above ground biomass and carbon stock of Pinus yunnanensis were estimated with S model and surface reflectance image.
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.
GREENLAB模型的原理可以应用于对作物根系形态结构和生物量分配的动态模拟；
The principle of GREENLAB plant model can apply to simulate morphology and biomass partitioning of crop root system.
根据实测的数据，采用一元线性、多元线性和非线性回归进行拟合，得到34个红海榄幼苗主要形态因子和生物量的回归模型。
Based on the data observed, 34 regression models on the morphological variables and biomass of the seedlings were set up using linear, multilinear and non linear regression.
结合GIS技术，应用B- P神经网络建立了森林生物量非线性遥感模型系统。
With GIS (Geographic Information system), applying the B-P Nerve Network the nonlinear forest biomass RS (Remote Sensing) modeling system was designed.
通过在黄土高原半干旱地区种植柳枝稷，构建生物量与土壤水分的动力学关系模型。
The dynamic relationship between the biomass of switchgrass and the soil water content in arid and semiarid area was investigated in this paper.
基于结构-功能模型是一种主要的植物建模方法，生物量的分配是其构建的一个难点，到目前为止仍没有一种被广泛接受的方法，本文以此为出发点对植物建模进行了探讨。
Structure-function model is one of the most important plant modeling method , and the distribution of biomass construction is the most difficult aspect, so far not a widely accepted view.
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.
地上生物量与胸径关系模型的相关性都达到极显著。
The model between aboveground biomass and DBH is fine because of its high significance.
模型以12种植被类型的绿色和非绿色生物量以及3层土壤水分为其状态变量。
The model was applied to Northeast China Transect to simulate the dynamics of green and non-green biomass of 12 vegetation categories as well as soil water of 3 layers.
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.
枯叶生物量在生殖生长期有着较为稳定的线性增长规律，相关性模型确定系数R 2为0.471 ~ 0.676。
In reproductive period, the dead leaf biomass increased steadily in a linear pattern, with the determination coefficient R2 ranged from 0.471 to 0.676.
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.
对赖氨酸发酵过程中的参数（生物量、糖浓度、产酸浓度）进行预测估计，并对两种模型的性能进行了研究和比较。
Then the parameters in the fermenting process of lysine such as biology quantity, sugar thickness and produced acid thickness are predicted and such models are compared and studied.
地上生物量补偿性生长模型。
The model of the compensatory growth capacity ofthe vegetable.
专家系统能够运用专家的知识与经验进行推理、判断和决策，是解决生物量软测量混合模型构建的有效方法。
Expert system can use experts' knowledge and experience to ratiocinate, judge and make decision, which is an effective way to construct the soft-sensor hybrid model.
以环境要素数据为自变量，样点单位面积生物量为因变量，采用二元四次多项式建立趋势方程并生成立体模型。
On the support of GIS technology and through the method of net sampling, the data of basic environmental elements and biomass per acreage of sampling sites were obtained.
其中，气象要素空间插值模型的选择和草地地上生物量遥感监测模型的分析是本研究的关键。
Among them, the interpolation model selection of climatic data and analysis of AGB models are the keys to this study.
建立生物量、气候生产力与社会产量之间的有效预报模型是以后产量预报研究中需要深入探讨的问题。
The prediction model between biomass, climate productivity and statistic yield in different DVS are built. The test of prediction shows that the correlations are not significant.
因此，研究专家系统知识组织方法和知识库对于生物量软测量混合模型结构的构建具有重要的理论意义。
Therefore, researching expert system knowledge organization method and knowledge base is meaningful theoretically for structuring soft-sensor hybrid model.
随后主要讨论了模型中生物量的分配，对源-库模型进行了扩展，提出了平衡机制驱动的源-库-池模型；
Model plant biomass on the distribution of the source - the model is extended to the source - the - pool model, this model is a more detailed model and easy to understand and use.
随后主要讨论了模型中生物量的分配，对源-库模型进行了扩展，提出了平衡机制驱动的源-库-池模型；
Model plant biomass on the distribution of the source - the model is extended to the source - the - pool model, this model is a more detailed model and easy to understand and use.
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