共查询到17条相似文献，搜索用时 187 毫秒
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以Richards和Schumacher模型为原型,利用地位级指数代替地位指数来反映林分的立地质量,通过选取不同的密度指标,分别拟合蒙古栎间伐、未间伐林分的断面积、蓄积量生长模型。结果表明:选用不同的密度指标直接影响着模型的预估效果,林分断面积生长模型选用林分密度指数作为密度指标时预估效果更好,且Schumacher模型要优于Richards模型;林分蓄积量生长模型选用林分断面积作为密度指标时预估效果更好,当认为模型中的渐近值参数只与立地质量相关、而与密度无关时,选用林分断面积作为密度指标的Richards模型要优于Schumacher模型,而在Schumacher模型渐近值参数中引入密度指标后,对林分蓄积量的预估精度又要略优于Richards模型。建议在研究蒙古栎断面积、蓄积量生长模型时,分别选用林分密度指数和林分断面积作为密度指标较好。 相似文献
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本文采用Richards函数的修正式拟合林分胸高断面积生长方程,并考虑株数密度对断面积生长的影响;用每公顷胸高断面积和每公顷株数作为状态变量,用森林纯收益作为指标函数,建立了离散确定性动态规划模型,确定了塞罕坝林场华北落叶松人工林的最优轮伐期,并为各地位指数及不同年龄、不同初始状态的林分提供了确定最适经营密度的方法。 相似文献
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以Schumacher方程为基础,引入断面积和地位指数,用多元回归技术建立杉木人工林多个林分收获模型,并对不同模型的拟合效果和适用性检验作分析对比,为林分收获模型的建模提供了科学依据.筛选建立的杉木人工林林分收获模型精度较高,可用于现实林分和未来林分的收获预估,在森林资源小班档案数据更新中有实用价值. 相似文献
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《林业资源管理》2017,(Z1):64-69
随着优化算法的发展和应用,分析优化算法在林分断面积生长模型参数估计中的运用并分析其优劣就显得尤为的迫切。采用昆明市森林资源二类调查数据,筛选树种组成大于等于6成的小班剔除异常值后作为建模样本单元。采用地位级指数和林分密度指数引入到生长模型中,分别采用麦夸特算法、差分进化算法、遗传算法、模拟退火算法和粒子群算法进行参数求解,根据算法迭代次数比较各优化算法的算法效率,并求解生长模型参数稳定性。结果表明,桤木、栎类和桉类断面积生长模型拟合决定系数分别为0.94,0.87,0.84,均方根误差分别为1.10,1.59,2.20,模型通过T检验和残差分析;麦夸特算法、差分进化算法、遗传算法、模拟退火算法和粒子群算法迭代次数平均值分别为68,2 188,4 147,4 492和2 324;Richards,Schumacher和Korf模型各参数拟合结果间欧式距离分别为1 408.47,10.11,45.22,Korf模型的拟合优度大于Schumacher和Richards模型。 相似文献
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利用树冠竞争因子确定同龄间伐林分的断面积生长过程 总被引：14，自引：0，他引：14
断面积生长预估是林分生长和收获预估体系中的核心因子和基础。本文选用了包含林分密度指标、年龄和立地质量指标的Ｒｉｃｈａｒｄｓ 模型作为断面积生长模型。利用树冠竞争因子（ ＣＣＦ） 能稳定反映林分竞争水平的特性,建立了ＣＣＦ 与林分密度指数和单位面积林木株数之间的函数关系式,并对长白落叶松和杉木得出：（１） ＣＣＦ＜ ２００ ,林分为等株数生长;（２）２００ ≤ＣＣＦ≤３００ 时,为等株数生长向自然稀疏生长的过渡期,该期间林分密度指数的变化可用等株数生长和自然稀疏生长的线性组合来表达;（３） ＣＣＦ＞ ３００ 时,林分为完全的自然稀疏生长 相似文献
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《中南林业科技大学学报(自然科学版)》2019,(10)
以湖南省一类清查样地为基础数据,用全混交度、大小比数、角尺度、竞争指数等空间结构指标作为建模变量,采用乘除法基本思想构建楠木次生林结构目标函数,通过林分相容性收获预估模型拟合结果来确定各年龄阶段林分最适断面积,将最适断面积作为确定间伐量的约束指标,构建湖南省楠木次生林结构化经营模型,通过间伐调整,提出楠木次生林结构化经营技术,促进森林提质增量。以3470号样地为例,进行结构化经营模拟。根据优化模型确定间伐木共23株,株数间伐强度为16.3%,经营后林分树种空间隔离程度增加,全混交度由原来的0.365增加到0.395,林木所受的竞争压力大幅减小,其竞争指数在原来的基础上减小了51.4%,林分空间分布格局趋近于随机分布。通过对林分未来10年生长进行预测,将林分断面积调整到最适状态时断面积、蓄积定期生长量均高于未间伐林分以及较低密度林分。说明本次经营活动在对林分结构进行改善的同时林分生长活力也有所提高,经营措施可行,可为湖南地区楠木次生林提质增量提供科学依据。 相似文献
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杉木人工林可变密度的全林分模型及其应用研究 总被引：3，自引：1，他引：2
以林分年龄、地位指数SI、林分密度指数SDI为输入变量 ,从模型间的相容性出发 ,建立了杉木人工林可变密度的全林分模型。着重探讨了用Richards方程构造林分断面积生长模型时 ,有关参数与SI和SDI的关系 ,分析了SDI的变化规律 ,采用名义年龄法建立了SDI的动态预估模型 ,最后 ,给出了应用可变密度的全林分模型模拟林分自然生长过程的实例 相似文献
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The aim of this study was to estimate a basal area growth model for individual trees in uneven-aged Caspian forests. A survey was conducted in order to find a natural forest without any harvesting activities, a so called ‘untouched forest’ and an area was selected from the Iranian Caspian forest. Three sample plots in the same aspect and of the same forest type were selected. In each plot, total tree height, diameter at breast height, distance of neighbor trees and azimuth were measured. Thirty trees were selected and drilled with increment borer to determine the increment model. Regression analysis was used to estimate the growth model. Results show that, for individual trees, there is a significant nonlinear relationship between the annual basal area increment, as the dependent variable, and the basal area. The results also show that the basal area of competing trees has a positive influence on growth. That the increment is higher with more competing neighboring trees is possibly because plots with higher volume per hectare and more competition, most likely also have higher site index or better soil or better site productivity than the plot with lower volume per hectare. 相似文献
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[目的]为更好地估测福州市湿地松人工林林分断面积生长情况,同时为湿地松人工林的经营提供参考依据.[方法]基于样地调查数据选用理查德方程、逻辑斯蒂、Mitscherlich和Schumacher等基础模型,引入优势木平均高和年龄因子为自变量并将林分密度指数作为密度指标加入到基础断面积模型中.在最优基础模型中引入哑变量,建... 相似文献
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《Scandinavian Journal of Forest Research》2012,27(1-4):247-257
The accuracy of two distant‐independent diameter growth functions for individual trees of Picea abies L. (Karst.) are tested on plots older than 55 years b.h., and with relatively few trees per hectare. Both functions (I1 and I2) have site index, stand basal area, and individual tree basal area as explanatory variables; in addition age at breast height is used in Function I1. Relative to mean measured increment, Functions I1 and I2 underestimate the growth of the test plots by 4.4% and 10.9% respectively; Function I1 shows a root mean squared deviation of 29.2% for single plot predictions, and 5.4% for mean of all plots. Function II predicts the growth as well as some stand functions frequently in use in Norway. Function I2 is unacceptable because age is not an independent variable. 相似文献
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Ferhat Kara 《Journal of Sustainable Forestry》2018,37(4):403-413
Stand density management tools help forest managers and landowners to more effectively allocate growing space so that specific silvicultural objectives can be met. Due to the economic importance of Oriental beech (Fagus orientalis Lipsky) forests in Turkey, a stand density management tool was developed for this species to optimize regeneration success rate and tree growth. For the development of this tool, named stand density management diagram (SDMD), we utilized forest inventory data from the Kastamonu Regional Forest Directorate in Turkey. Previously published forest management approaches and models were employed during the development of the tool. The SDMD illustrates the relation among four forest indexes: the basal area per hectare, number of trees per hectare, forest stand volume per hectare, and quadratic mean diameter of the beech stands. The stand stocking percent (SSP) can be determined based upon any two of these four measurements. The results suggest that SSP is a better predictor of tree growth than BA in Oriental beech forests. The newly developed SDMD allows for a more effective use of the growing space to achieve specific silvicultural objectives including tree regeneration, timber production, thinning planning, and wildlife protection in Oriental beech forests. 相似文献
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闽东地区木荷人工林标准表的编制 总被引：1，自引：0，他引：1
利用标准地材料,以林分每公顷胸高断面积为因变量,林分平均高为自变量,采用最小二乘法拟合多个方程,经分析对比选择合适的方程作为编制木荷人工林标准表的数学模型。在此基础上,应用有约束条件的改进单纯形法建立疏密度1.0的标准林分每公顷胸高断面积模型,配合形数模型,按蓄积三要素计算疏密度1.0的林分每公顷蓄积量,据此编制了木荷人工林标准表。可为森林资源清查确定木荷人工林的蓄积量和疏密度提供科学依据。 相似文献
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Vindhya Prasad Tewari 《Journal of Sustainable Forestry》2013,32(4):284-300
ABSTRACT Growth modelling is an important and effective tool for evaluating the effects of a particular management action on the future development of a forest ecosystem. However, such necessary growth models are not available for many indigenous tree species in India. Acacia nilotica is an important multipurpose tree species found in India and growth models are required for proper management of the species in the region. This paper presents equations for estimating potential stand density and predicting basal area in pure even-aged stands of A. nilotica in Gujarat State of India. Although no thinning was suggested, decrease in the number of trees in the stands was observed because of mortality due to overcrowding and some biotic factors. Relationships between quadratic mean diameter and stems per hectare were developed, which was used to establish the limiting density line. Eight different stand level models, belonging to the path invariant algebraic difference form of a non-linear growth function, were compared for projecting basal area. They can be used to predict future basal area as a function of stand variables like dominant height and stem number per hectare and are crucial for evaluating different silvicultural treatment options. The performance of the models was evaluated using different statistical criteria to recommend the suitable model for projecting the basal area in A. nilotica stands. 相似文献