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Selection of tree species by principal component analysis for abandoned farmland in southeastern Horqin Sandy Land,China 被引量:1
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作者 Peng Meng Jing Liu Xuefeng Bai 《Journal of Forestry Research》 SCIE CAS CSCD 2022年第2期475-486,共12页
With changes in global climate and land use,the area of desertified farmland in southeastern Horqin Sandy Land(HSL)has increased in recent years,and farmlands are being abandoned.These abandoned farmlands(AFs)nega-tiv... With changes in global climate and land use,the area of desertified farmland in southeastern Horqin Sandy Land(HSL)has increased in recent years,and farmlands are being abandoned.These abandoned farmlands(AFs)nega-tively impact the local ecology.Therefore,the aim of the present study was to select suitable trees and shrubs for those AFs to prevent and control the desertification tendency.In this study,three AFs were fenced for 2 years,then 37 arbor and shrub species or varieties of 21 families were planted in the fenced AFs and grown for 10 years.The ecological adaptability of the species was evaluated and ranked using a principal component analysis.The results showed that the biodiversity of the AFs significantly improved after 2 years of fencing;the Shannon-Wiener index and species rich-ness of perennial grasses and forbs were 1.45 and 3.6 times higher,respectively,than for the unfenced AF.Among all species planted in fenced AFs,nine tree species had posi-tive comprehensive F(CF)values;Pinus sylvestris(Russian Shira steppe provenance),Populus alba‘Berolinensis’and Gleditsia triacanthos had CF greater than 1,and the first(PC1),second(PC2)and third(PC3)principal component values(F_(1),F_(2),F_(3))were all positive.Among the shrubs,only Lespedeza bicolor and Rosa xanthina f.normalis had CF greater than 0.All these results suggest that fencing improves biodiversity and that planting trees and shrubs that have higher CF values on the basis of fencing is an effective way to green and beautify AFs in HSL. 展开更多
关键词 Horqin Sandy Land Fenced abandoned farmland Principal component analysis tree species selection
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Selection of promising chestnuts(Castanea sativa) among wild growing trees from southern Mediterranean region forests of Turkey
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作者 Yilmaz Ormeci Yasar Akca Sezai Ercisli 《Journal of Forestry Research》 SCIE CAS CSCD 2016年第2期349-355,共7页
Turkey ranked third place in the world for chestnut production after China and South Korea and the country has unique chestnut forests including valuable and diverse chestnut genotypes. This study was conducted to sel... Turkey ranked third place in the world for chestnut production after China and South Korea and the country has unique chestnut forests including valuable and diverse chestnut genotypes. This study was conducted to select superior chestnut genotypes within seedling popu- lations found in natural wild grown chestnut forest located in Isparta province in Turkey during 2010-2011 years. A total of 2500 wild grown chestnut trees were examined on the field first year and among them the most promising 22 genotypes were chosen according to relatively high yield capacity, earliness, tolerance to chestnut blight (Cryphonectria parasitica), ink disease (Phytopthora cambivora), and fruit quality characteristics. The selected 22 genotypes were evaluated for their detailed morpho- logical, phenological and pomological traits in 2010 and 2011. According to average of 2 years, nut weight, the number of nut per kilogram, nut width, nut length, nut height and nut shell thickness of 22 promising genotypes ranged from 10.26 to 22.32 g, 97.47 to 44.80/kg, 26.80 to 42.47, 16.92 to 25.91, 27.74 to 39.73, and 0.26 to 1.01 mm, respectively. The ash, crude protein, and total fat content of kernels were between 0.85 to 1.94, 3.69 to 7.06 and 1.32 to 4.52, respectively. The genotypes were evaluated with weighted ranking method and the highest general quality score was observed in genotypes of IY17, IYO1, IY42, IY43 and IY12. 展开更多
关键词 Castenea sativa Mill. Forest fruits selectION tree breeding
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Evaluation and Selection of Introduced Tree Species in the Beijing-Tianjin Corridor
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作者 YUAN Wenge ZHENG Jianwei +2 位作者 GU Jiancai LU Guiqiao GAO Qiuhua 《Journal of Landscape Research》 2018年第5期114-118,共5页
Based on the extensive analysis of natural and social conditions,regional development,and characteristics of tree species in the Beijing-Tianjin corridor,a comprehensive evaluation index system that consists of A,B,C,... Based on the extensive analysis of natural and social conditions,regional development,and characteristics of tree species in the Beijing-Tianjin corridor,a comprehensive evaluation index system that consists of A,B,C,D layers was established for introduced tree species.Nine local representative introduced tree species were evaluated using the analytic hierarchy process(AHP).The results showed that Platanus orientalis,Quercus mongolicus,and Zizyphusjujube performed better comprehensively and were recommended as the dominant introduced tree species in the Beijing-Tianjin corridor.Other representative introduced tree species should be appropriately developed in the region.Main factors that should be taken into account for introduced tree species including drought tolerance,wintering habit,growth rate,leanness tolerance,pollution tolerance,saline tolerance,and disease resistance. 展开更多
关键词 Evaluation selection System INTRODUCED tree species BEIJING-TIANJIN CORRIDOR MAIN factors
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基于IHA-TPE-LightGBM融合模型的NiTi基形状记忆合金相变温度预测方法
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作者 李珺 徐亮 陈小然 《中国材料进展》 北大核心 2026年第3期245-250,共6页
提出了一种基于IHA-TPE-LightGBM的融合模型预测NiTi基形状记忆合金的相变温度(T_(p))的方法。融合遗传算法与模拟退火算法形成改进混合算法(improved hybrid algorithm,IHA),筛选影响T_(p)的特征,减少特征冗余并优化模型性能;利用非标... 提出了一种基于IHA-TPE-LightGBM的融合模型预测NiTi基形状记忆合金的相变温度(T_(p))的方法。融合遗传算法与模拟退火算法形成改进混合算法(improved hybrid algorithm,IHA),筛选影响T_(p)的特征,减少特征冗余并优化模型性能;利用非标准贝叶斯优化算法(tree-structured Parzen estimator,TPE)优化最佳模型的超参数,提升模型的精度。结果表明,提出的温度预测模型IHA-TPE-LightGBM的R^(2)评价指标为0.92,验证了该方法的有效性。该研究方法有助于开发新型NiTi基形状记忆合金,可以加快未来高性能弹热材料的发现。 展开更多
关键词 NiTi基合金 遗传算法 模拟退火算法 特征筛选 非标准贝叶斯优化算法 LightGBM
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突托蜡梅生长量分析及优树选择
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作者 韩璐 欧斌 +4 位作者 邹健 张鸿伟 谢云飞 陈芳珍 唐秋盛 《林业科技》 2026年第1期24-27,共4页
为选择突托蜡梅优树提供生长量评价指标,建立评价体系。抽样调查50株样株,研究分布区内突托蜡梅树高、胸径、直径及春梢生长量,并进行优树入选标准分析。结果表明:以直径年生长量入选指标d+1δ即D≥d+1δ=0.54+1*0.26=0.80 cm作为突托... 为选择突托蜡梅优树提供生长量评价指标,建立评价体系。抽样调查50株样株,研究分布区内突托蜡梅树高、胸径、直径及春梢生长量,并进行优树入选标准分析。结果表明:以直径年生长量入选指标d+1δ即D≥d+1δ=0.54+1*0.26=0.80 cm作为突托蜡梅优树入选指标(评价指标)为佳,入选率8%,分别是:7、9、10、12号样株;和以胸径平均年生长量入选指标,用d+1δ即D≥d+1δ=0.57+1*0.189=0.759 cm作为突托蜡梅优树入选指标(评价指标)为佳,入选率为12%,分别是:7、8、9、10、12、13号样株。 展开更多
关键词 突托蜡梅 生长量 优树选择
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应用特征优选的林果遥感信息提取技术
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作者 苗佳美 蒲智 +3 位作者 高健 罗磊 王蕾 王茜 《东北林业大学学报》 北大核心 2026年第3期125-134,共10页
为了快速且准确地识别林果种植类型及其空间分布,以提升林业资源管理效率,以和田地区为研究区,依托谷歌地球引擎平台,结合Sentinel-1/2遥感影像与欧洲空间局(ESA)土地利用数据,构建了涵盖光谱、雷达、植被指数、纹理和地形等多源特征的... 为了快速且准确地识别林果种植类型及其空间分布,以提升林业资源管理效率,以和田地区为研究区,依托谷歌地球引擎平台,结合Sentinel-1/2遥感影像与欧洲空间局(ESA)土地利用数据,构建了涵盖光谱、雷达、植被指数、纹理和地形等多源特征的体系。设计6组不同的特征组合方案,采用随机森林、支持向量机和分类回归树3种分类算法对林果作物进行精度比较,发现随机森林模型在分类性能上优于其他算法。进一步根据Gini系数和袋外误差法优化特征波段,最终获得2024年和田地区核桃(Juglans regia L.)、枣(Ziziphus jujuba Mill.)、葡萄(Vitis vinifera L.)和杏(Prunus armeniaca L.)的空间分布图。结果表明,随机森林分类器的平均分类精度为78.45%,而优选特征组合进一步提升了分类精度至85.11%,Kappa系数达到0.81,优于其他特征组合。 展开更多
关键词 遥感 林果分类 多源数据 特征优选 机器学习 随机森林
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一种基于k-means聚类技术的快速选择性Bagging Trees集成算法研究
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作者 陈凯 温慧博 《统计与信息论坛》 CSSCI 2008年第9期23-27,共5页
选择性集成算法是目前机器学习关注的热点之一。在对一海藻繁殖案例研究的基础上,提出了一种基于k-means聚类技术的快速选择性Bagging Trees集成算法;同时与传统统计方法和一些常用的机器学习方法相比较,发现该算法具有较小的模型推广... 选择性集成算法是目前机器学习关注的热点之一。在对一海藻繁殖案例研究的基础上,提出了一种基于k-means聚类技术的快速选择性Bagging Trees集成算法;同时与传统统计方法和一些常用的机器学习方法相比较,发现该算法具有较小的模型推广误差和更高的预测精度的优点,而且其运行的效率也得到了较大的提高。 展开更多
关键词 决策树 自助法 选择性集成
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基于LASSO回归的列线图与决策树构建乳腺癌患者预后预测模型
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作者 闫慈 秦帅刚 +2 位作者 刘亚洁 付爱玲 阿布都沙拉木·依米提 《现代肿瘤医学》 2026年第4期540-550,共11页
目的:探讨乳腺癌患者5年生存预后的影响因素,构建生存预测模型,并评估其预测准确性。方法:调取2010年1月至2020年12月在新疆医科大学附属肿瘤医院因乳腺癌初治住院的17104例女性患者的病案数据及随访资料。依据LASSO(the least absolute... 目的:探讨乳腺癌患者5年生存预后的影响因素,构建生存预测模型,并评估其预测准确性。方法:调取2010年1月至2020年12月在新疆医科大学附属肿瘤医院因乳腺癌初治住院的17104例女性患者的病案数据及随访资料。依据LASSO(the least absolute shrinkage and selection operator,LASSO)回归筛选出与乳腺癌预后强相关的变量构建乳腺癌患者5年生存预测模型,在此基础上绘制列线图和决策树,并与传统Logistic回归做比较,采用受试者工作曲线下面积(area under receiver operating characteristic curve,AUC)对模型的预测效能进行评价。结果:LASSO回归共筛选出16个乳腺癌预后影响因素,分别是年龄、民族、初潮年龄、肿瘤分期、肿瘤家族史、手术分组、组织学分级、雌激素受体状态、孕激素受体状态、Ki-67表达水平、HER-2 Fish状态、放疗、化疗、靶向治疗、内分泌治疗、新辅助治疗。决策树根节点为肿瘤分期,共7个内部节点、9个结果节点和16条决策路径。各自变量的重要性由高到低分别为肿瘤分期、年龄、肿瘤家族史、Ki-67表达水平、组织学分级、HER-2 Fish状态、手术类型、新辅助治疗。对列线图和决策树预测模型进行验证,列线图、决策树、Logistic回归的AUC值分别为0.934、0.917、0.903。结论:本研究构建的LASSO回归可用于乳腺癌患者临床数据筛选与预后强相关的变量,列线图与决策树模型预测效能良好,且列线图预测性能最优,该方法有助于医务人员对乳腺癌患者制定个体化动态综合治疗方案。 展开更多
关键词 乳腺癌 LASSO回归 列线图 决策树 预后预测
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一种基于差异思想的选择性Bagging Trees集成算法研究
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作者 陈凯 朱钰 王征 《统计教育》 2008年第6期24-28,共5页
本文通过对鸢尾花数据的研究,提出了一种基于分类器的分类效果差异而进行快速选择的一种改进的Bagging Trees集成算法。并通过同其他统计机器学习方法,如:CART、Bagging Trees、Random Forest以及目前流行的基于遗传算法的选择性集成算... 本文通过对鸢尾花数据的研究,提出了一种基于分类器的分类效果差异而进行快速选择的一种改进的Bagging Trees集成算法。并通过同其他统计机器学习方法,如:CART、Bagging Trees、Random Forest以及目前流行的基于遗传算法的选择性集成算法GASEN等比较得出,该算法对于分类问题而言,具有较高的准确率,而且与GASEN算法相比,运行的效率也得到了较大的提高。 展开更多
关键词 决策树 自助法 选择性集成
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林业营造林树种选择与适应性研究
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作者 辛芳 《园艺与种苗》 2026年第1期84-85,共2页
林业营造林建设效果受树种因素影响较大,合适的树种是保障营造林效果的基础。该文围绕自然环境因素、土壤因素、生态与经济效益、树种选择、树种适应性等探究林业营造林树种选择的要点,并提出林业结构调整、林业管理体系完善、技术水平... 林业营造林建设效果受树种因素影响较大,合适的树种是保障营造林效果的基础。该文围绕自然环境因素、土壤因素、生态与经济效益、树种选择、树种适应性等探究林业营造林树种选择的要点,并提出林业结构调整、林业管理体系完善、技术水平提升等探究提升林业营造林树种生长水平的建议,为营林工作高质量、高水平开展提供支持。 展开更多
关键词 林业工程 营造林 树种选择 适应性
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樟子松人工林二代林更新模式及树种选择
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作者 王国晨 《防护林科技》 2026年第1期38-41,共4页
樟子松(Pinus sylvestris var.mongolica)人工林的衰退与死亡是多种因素共同作用的结果,其中土壤养分失衡是主要因素之一。以科尔沁沙地樟子松人工林二代林更新为背景,选取14种主要造林树种,通过林地土壤养分分析,评估不同树种对土壤养... 樟子松(Pinus sylvestris var.mongolica)人工林的衰退与死亡是多种因素共同作用的结果,其中土壤养分失衡是主要因素之一。以科尔沁沙地樟子松人工林二代林更新为背景,选取14种主要造林树种,通过林地土壤养分分析,评估不同树种对土壤养分的提升效应。结果表明:2种模式的混交林综合指数分别为1.13和0.96,均高于樟子松纯林(0.51);混交林的肥力显著高于纯林。混交模式是科尔沁沙地樟子松人工林迹地更新的理想模式,树种主要以樟子松、彰武松(Pinus densiflora var.zhangwuensis)和元宝枫(Acer truncatum)为主。 展开更多
关键词 樟子松人工林 更新模式 树种选择
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基于改进HTML-Tree的中文网页特征向量提取方法 被引量:3
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作者 李铭岳 周军 《信息技术》 2009年第1期10-14,共5页
中文网页特征向量的提取是提高中文网页分类准确度和召回度的关键。经过研究HTML网页的结构特点,提出一种基于改进的HTML-Tree及网页元素权重的中文网页文本预处理方法,并在此基础上进行网页文本特征向量的提取。该方法充分利用不同类... 中文网页特征向量的提取是提高中文网页分类准确度和召回度的关键。经过研究HTML网页的结构特点,提出一种基于改进的HTML-Tree及网页元素权重的中文网页文本预处理方法,并在此基础上进行网页文本特征向量的提取。该方法充分利用不同类别网页的特点,考虑了网页内各种元素权重的贡献。经过实验验证,该方法提高了网页特征向量提取的效率,有效提高了中文网页分类的准确度和召回度。 展开更多
关键词 HTML-tree 特征向量 网页分类
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干旱胁迫对几种风景园林树种苗木生长生理的影响
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作者 钟冰 《陕西林业科技》 2026年第1期15-19,共5页
为筛选适应华南干旱气候的园林树种,本研究以美丽异木棉(Ceiba speciosa)、格木(Erythrophleum fordii)、红锥(Castanopsis hystrix)、凤凰木(Delonix regia)一年生苗为对象,采用盆栽控水法设3个干旱梯度(70%,40%,20%田间持水量,FC)及对... 为筛选适应华南干旱气候的园林树种,本研究以美丽异木棉(Ceiba speciosa)、格木(Erythrophleum fordii)、红锥(Castanopsis hystrix)、凤凰木(Delonix regia)一年生苗为对象,采用盆栽控水法设3个干旱梯度(70%,40%,20%田间持水量,FC)及对照(100%FC),测定生长、光合及生理指标,并通过主成分分析评价抗旱性。结果显示:20%FC(重度干旱)下,4树种均受显著胁迫。其中,凤凰木抗旱性最强,株高降幅最小(55.1%),根冠比提升60.0%,气孔导度(Gs)降幅33.3%,可溶性糖与脯氨酸含量提升2.1~2.8倍,超氧化物歧化酶(SOD)、过氧化物酶(POD)活性提升1.1~1.4倍,丙二醛(MDA)仅13.1 nmol·g^(-1);红锥根冠比提升80.0%,但根系生物量下降36.1%;美丽异木棉叶片干重下降85.7%,净光合速率(Pn)仅2.5μmol·m^(-2)·s^(-1),光合系统受损严重;格木抗旱性最差,株高近零增长,MDA激增至31.5 nmol/g,Pn仅0.9μmol·m^(-2)·s^(-1)。主成分分析得出抗旱性排序:凤凰木(1.23)>红锥(0.18)>美丽异木棉(-0.31)>格木(-1.10)。本研究可为华南地区节水型绿化树种选择提供理论依据。 展开更多
关键词 园林绿化 苗木选择 主成分分析 抗旱树种
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Combining spatial and economic criteria in tree-level harvest planning 被引量:3
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作者 Petteri Packalen Timo Pukkala Adrián Pascual 《Forest Ecosystems》 SCIE CSCD 2020年第2期234-246,共13页
Background:Modern remote sensing methods enable the prediction of tree-level forest resource data.However,the benefits of using tree-level data in forest or harvest planning is not clear given a relative paucity of re... Background:Modern remote sensing methods enable the prediction of tree-level forest resource data.However,the benefits of using tree-level data in forest or harvest planning is not clear given a relative paucity of research.In particular,there is a need for tree-level methods that simultaneously account for the spatial distribution of trees and other objectives.In this study,we developed a spatial tree selection method that considers tree-level(relative value increment),neighborhood related(proximity of cut trees)and global objectives(total harvest).Methods:We partitioned the whole surface area of the stand to trees,with the assumption that a large tree occupies a larger area than a small tree.This was implemented using a power diagram.We also utilized spatially explicit tree-level growth models that accounted for competition by neighboring trees.Optimization was conducted with a variant of cellular automata.The proposed method was tested in stone pine(Pinus pinea L.)stands in Spain where we implemented basic individual tree detection with airborne laser scanning data.Results:We showed how to mimic four different spatial distributions of cut trees using alternative weightings of objective variables.The Non-spatial selection did not aim at a particular spatial layout,the Single-tree selection dispersed the trees to be cut,and the Tree group and Clearcut selections clustered harvested trees at different magnitudes.Conclusions:The proposed method can be used to control the spatial layout of trees while extracting trees that are the most economically mature. 展开更多
关键词 Spatial optimization tree selection Cellular automata Remote sensing Airborne laser scanning
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基于机器学习与空间大数据的养老设施选址应用研究——以南宁市主城区为例
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作者 周兴宇 吴建学 徐扬 《城市建筑》 2026年第3期52-56,共5页
随着人口老龄化的加速,现行养老服务系统正面临资源短缺与区域配置失衡的双重压力,这一供需矛盾在城乡梯度差异背景下显得尤为突出。本研究以南宁市主城区为实证对象,整合高德地图API获取的地理信息点(POI)与第七次全国人口普查数据,构... 随着人口老龄化的加速,现行养老服务系统正面临资源短缺与区域配置失衡的双重压力,这一供需矛盾在城乡梯度差异背景下显得尤为突出。本研究以南宁市主城区为实证对象,整合高德地图API获取的地理信息点(POI)与第七次全国人口普查数据,构建基于决策树的选址优化模型。通过解析26509个空间网格的设施分布特征,模拟生成1993个适老设施潜力点位,结合街道老龄化率与人口密度筛选出787个优先规划区域,并导入最大覆盖模型规划出41处新增养老服务设施点位。研究发现:(1)模型预测结果与现有养老设施比较,拟合度为89.53%,预测结果与政府发布的养老设施专项规划的规划点位大部分重合,证明模型可靠。(2)筛选出的优先需要规划设施的点位和网格表明,新增的养老设施大多位于老龄化相对严重的街道(乡镇),如福建园街道、南阳镇,预测结果符合南宁市老年人实际分布情况。本研究展示了大数据和机器学习技术在养老设施选址中的有效应用,能够为城市规划的精细化和科学化提供参考。 展开更多
关键词 机器学习 决策树 养老服务设施 选址优化 空间布局
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Optimal Selection of Raw Material Forest Species for Edible Fungi in Guizhou Province 被引量:1
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作者 Xingui Li Lifen Peng 《Agricultural Biotechnology》 CAS 2018年第2期101-104,108,共5页
A comprehensive evaluation system,which focused on optimal selection of raw material forest species for edible fungi,was established by combination of Analytic Hierarchy Process(AHP)and Experts Grading Method(EGM).The... A comprehensive evaluation system,which focused on optimal selection of raw material forest species for edible fungi,was established by combination of Analytic Hierarchy Process(AHP)and Experts Grading Method(EGM).The evaluation system had 4 indices of grade I and 12 indices of grade II.Among the 12 indices of grade II,the weighted values of production quality of edible fungi P2(0.2874),usable time P7(0.1873),annual average increment P8(0.1873),edible fungi production suitability P1(0.0958)were larger than the values of others.Based on the comprehensive evaluation system,this study analyzed and screened 47 broadleaf species of 40 genera of 25 families.There were 16 broadleaf species having the comprehensive evaluation scores of equal to or greater than2.4000,which were available as major tree species for edible fungi development of Guizhou Province,especially species such as Liriodendron chinense,Quercus acutissima,Alnus cremastogyne,Betula luminfera,Elaeocarpus duclouxii,Elaeocarpus sylvestris,Choerospondias axillaris.The 10 broadleaf tree species with comprehensive evaluation score of 2.1000≤Y 2.4000 were recommended as candidates for edible fungi production,while the 21 broadleaf species with the comprehensive evaluation score of less than 2.1000 were not recommended. 展开更多
关键词 Edible fungi Raw material forest Excellent tree species tree species selection Guizhou ProvinceHome
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Which trees should be removed in thinning treatments?
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作者 Timo Pukkala Erkki Lahde Olavi Laiho 《Forest Ecosystems》 SCIE CSCD 2016年第1期51-62,共12页
Background: In economically optimal management, trees that are removed in a thinning treatment should be selected on the basis of their value, relative value increment and the effect of removal on the growth of remai... Background: In economically optimal management, trees that are removed in a thinning treatment should be selected on the basis of their value, relative value increment and the effect of removal on the growth of remaining trees. Large valuable trees with decreased value increment should be removed, especially when they overtop smaller trees. Methods: This study optimized the tree selection rule in the thinning treatments of continuous cover managemen when the aim is to maximize the profitability of forest management. The weights of three criteria (stem value, relative value increment and effect of removal on the competition of remaining trees) were optimized together with thinning intervals. Results and conclusions: The results confirmed the hypothesis that optimal thinning involves removing predominantly large trees. Increasing stumpage value, decreasing relative value increment, and increasing competitive influence increased the likelihood that removal is optimal decision. However, if the spatial distribution of trees is irregular, it is optimal to leave large trees in sparse places and remove somewhat smaller trees from dense places. However, the benefit of optimal thinning, as compared to diameter limit cutting is not usually large in pure one-species stands. On the contrary, removing the smallest trees from the stand may lead to significant (30-40 %) reductions in the net present value of harvest incomes. 展开更多
关键词 Continuous cover forestry tree selection High thinning Optimal management Spatial distribution Spatial growth model
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Tree growth performance and estimation of wood quality in plantation trials for Maesopsis eminii and Shorea spp.
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作者 Lina Karlinasari Suhada Andini +3 位作者 Descarlo Worabai Prijanto Pamungkas Sri Wilarso Budi Iskandar Z.Siregar 《Journal of Forestry Research》 SCIE CAS CSCD 2018年第4期1144-1153,共10页
Plantations of tropical species axe becoming an increasingly important source of wood. However, it is important that research trials focus not only on tree growth performance, but also on wood quality. The aims of thi... Plantations of tropical species axe becoming an increasingly important source of wood. However, it is important that research trials focus not only on tree growth performance, but also on wood quality. The aims of this study were to assess the growth performance of six commercially and ecologically important tree species from separate plantation trials in Indonesia and to determine the relationships between tree growth and wood quality in terms of the dynamic modulus of elasticity (MOE) and wood density. Forty-eight 7-year Maesopsis eminii Engl. and thirty-five 9-year specimens (7 each of 5 Shorea spp.) were selected from two trials. The MOE, based on acoustic velocity, was indirectly measured to evaluate wood stiffness. Tree-growth performance was evaluated, and correlations between growth traits and acoustic velocity as well as density and wood stiffness properties were estimated. The growth performance of M. eminii in terms of tree volume was significantly different in three different cate- gories of growth (i.e. fast, medium, slow). Of the five Shorea spp. studied, Shorea leprosula Miq. had the highest growth rate, as expected since it is known to be a fastgrowing Shorea species. Indirect measurement of wood quality by means of non-destructive ultrasonic methods showed a weak negative correlation between tree volume and acoustic velocity and dynamic MOE. Although each fast-growing tree could reach a merchantable size faster than other varieties or species, wood traits of various species tested were not significantly different based on tree growth rate performance. The findings from this study could be used to improve selection criteria in future breeding trials; indirect measurements of the dynamic modulus of elasticity can be used in mass pre-selection of genetic materials, to choose the most-promising material for in-depth evaluation. 展开更多
关键词 Dynamic MOE Non-destructive test selection criteria tree growth Wood quality Maesopsiseminii Shorea spp
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Effect of selective cutting type on the chainsaw productivity in Caspian Forests
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作者 Farshad Keivan Behjou 《Journal of Forestry Research》 CAS CSCD 2012年第4期699-702,共4页
Time and motion studies were conducted to evaluate the impact of selective cutting type on Chainsaw productivity in Caspian forests, the selective cutting performed as single and group selection cutting in the region.... Time and motion studies were conducted to evaluate the impact of selective cutting type on Chainsaw productivity in Caspian forests, the selective cutting performed as single and group selection cutting in the region. The selective cutting was performed on a 42-ha tract with an average slope of 30%. The results indicate that felling time for per tree is most affected by diameter at breast height, the distance among harvested trees in single-tree selection method and diameter at breast height in group selection method. The production rate in single and group selection cutting were 21.2 m^3·h^-1 and 28.4 m^3·h^-1 for one person, respectively. Considering the gross and net production rate in single and group selection cutting, the unit cost was 1.11 USD.m^-3 and 0.88 USD.m^-3, respectively. The results indicate that group selection cutting can be more profitable than single-tree selection method. 展开更多
关键词 single-tree selection Group selection manual felling unit cost
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