共查询到19条相似文献,搜索用时 578 毫秒
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张家界市野生观赏地被植物资源调查及其应用研究 总被引:2,自引:1,他引:1
为了解张家界野生地被植物资源状况,采取资料查阅与实地调查方法,对市区野生地被植物资源进行初步统计。结果表明,张家界市野生地被植物共1153种,其中具有开发潜力的有369种,分别隶属99科239属。根据植物生活型将市内野生地被植物划分为灌木、多年生草本、1~2年生草本、藤蔓类、蕨类等,并分类介绍了野生地被植物的特点、部分观赏性较高的植物及其的园林配置与应用。最后,对野生观赏地被植物在园林中的应用与推广前景提出了展望。 相似文献
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地被植物园林新亮点 总被引:1,自引:0,他引:1
《中国花卉园艺》编辑部 《中国花卉园艺》2007,(13):8-13
近年来,在城市园林绿化中,地被植物备受青睐,应用品种越来越多,销售价格逐渐上升。这也使一些生产商对地被植物更加关注,一些园林设计者为达到理想的园林景观效果,也在寻找合适的地被植物。为更好地发展和应用地被植物,本刊特约请了业内一些专家和企业负责人对地被植物在园林中的应用、品种选择及发展前景等方面发表了自己的看法。 相似文献
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20世纪九十年代,北京市在绿化工程中大量使用从国外引种的冷季型草坪,许多原有乡土地被植物受到严重破坏,一些典型的古典园林甚至也种上冷季型草,而冷季型草的一项重要特点就是要不断浇水,干热天气甚至要天天喷水,其实际用水量在每年约1~1.6吨/平方米。为筛选适合北京地区实际环境的园林地被植物,提高园林绿化的生态效益,我们从2005年开始进行野生地被植物的筛选工作,对野生植物的地被性状做了较系统的研究,对造园等技术做了较深入的探讨,通过在中央电视台、石油经济技 相似文献
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随着城市园林绿化的不断发展,地被植物在园林中的应用越来越受到重视,应用品种越来越多,面积日益扩大。园林地被植物指覆盖于地表的低矮的植物群体,包括一二年生、多年生低矮草本,蕨类植物及一些低矮、匍匐性的灌木、竹类和藤本植物,高度一般在1米以下,国外学者则将高度标定为从2.5厘米到1.2米。园林地被植物枝叶密集,具有 相似文献
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园林地被植物呼唤理性回归 总被引:1,自引:0,他引:1
作为城市园林绿化建设的重要组成部分,地被植物增加了城市绿地的绿量,提高了绿化覆盖率,并通过丰富乔、灌、草层次和稳定人工植物群落,提高了城市绿地的生态效益和景观价值,其重要性已逐渐被人们认识。然而近年来,国内各大中城市在地被植物的选择和园林应用中,也出现了滥用和标 相似文献
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图像处理技术估测水稻叶面积指数的研究 总被引:4,自引:0,他引:4
为了探讨图像处理技术测定水稻叶面积指数(LAI)的可行性,利用数码相机获取水稻冠层影像,通过图像处理获取冠层图像的覆盖度,并建立模型从而估测出水稻LAI。试验结果表明,利用覆盖度与实测叶面积指数之间建立的关系模型可以估测水稻LAI,并对利用该模型测出的叶面积指数与实测叶面积指数进行统计检验,它们之间的相关系数在0.77~0.93*之间,达到显著或极显著水平。说明通过覆盖度估测水稻叶面积指数是可行的,该研究结果为获取水稻LAI提供了有效途径。 相似文献
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基于吸收光合有效辐射和光合有效辐射截获量监测棉花生长状况 总被引:2,自引:0,他引:2
通过光量子传感器,获取了2个棉花品种不同种植密度冠层6个关键生育时期的光合有效辐射(PAR),分析了吸收光合有效辐射(APAR)和光合有效辐射截获量(FAPAR)与棉花冠层生长特征的关系。结果表明;棉花开花期和花铃期,为APAR与FAPAR高值期,盛铃期和盛铃末期下降,吐絮期为低值期;利用多元统计分析技术,分别建立了棉花APAR、FAPAR与棉花冠层叶面积指数、覆盖度、地上鲜生物量和地上净初级生产力的相关关系模型。采用APAR与覆盖度,FAPAR与叶面积指数相关性最高的模型方程,分别估算棉花覆盖度和叶面积指数,实测值与估测值之间呈极显著的线性相关关系,估算精度分别为99.1%和99.5%。 相似文献
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广州城市公园森林植物景观美景度研究 总被引:1,自引:0,他引:1
为使城市整体质量提升,人居环境优美,以广州市越秀公园为研究对象,运用心理物理学派美景度测量与调查方法——美景度评价法,选取10 个代表性植物群落进行景观美学质量评价,运用多元线性回归建立景观美景度与植物群落结构间的数量化回归模型,解析影响植物景观美景度的关键因子。结果表明:榕树+木棉+彩叶灌木、棕榈类+地被等群落有较高的美景度得分值。影响植物景观美景度的关键要素有植物本身形态特征、草坪覆盖度、遮阴效果等。提高乡土乔木树种多样性和植物色彩丰富性,是改善城市公园森林植物景观的可行途径。 相似文献
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《Journal of Landscape Research》2016,(3)
Taking 5 representative comprehensive universities in different locations of Chengdu City for example, this paper analyzed plant composition on the 5 campuses, i.e. Sichuan University, University of Electronic Science and Technology of China, Southwest Jiaotong University, Southwestern University of Finance and Economics, Chengdu University of Technology, as well as the application ratio of trees, shrubs, grasses as well as ground cover, coniferous plant, broad-leaved plant, deciduous plant, and evergreen plant. Plants in the 3 functional areas of the 5 campuses were investigated, application frequency of plants in each functional area was recorded and measured, and application differences of plants in different functional areas were compared and distinguished. Species confi guration, application frequency and species type, species richness, diversifi ed ornamental effect and life form on the campuses were analyzed. 相似文献
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Cover crops introduced into cropping systems can lead to chemical input reductions and pollution mitigation because they enhance ecological functions. The choice of the best cover crops for a specific cropping system is, however, difficult because of the large range of potential cover species. A promising method involves functional traits as simplified indicators of plant functions. In banana cropping systems, cover crops are used especially to control weeds by development of their leaf area to boost competition for light. The aim of this study was to seek trait-based leaf area development strategies among tropical cover species, based on four plant traits chosen because of their mathematical link with leaf area development: specific leaf area (SLA), aboveground leaf mass fraction (LMFa), seed mass (SM) and aboveground relative growth rate (RGRa). We measured trait values and leaf areas of 17 tropical cover species grown for 1 month in a growth chamber. Strong positive and negative covariations were observed between SM, LMFa and RGRa, revealing a “syndrome” of traits and suggesting trade-offs between traits. Four groups of species were identified based on PCA and cluster analyses and were characterized by significantly different sets of trait values. They showed four leaf area development strategies: species that allocate a large part of biomass to leaf area (G1), species that develop large biomass and leaf area at emergence (G2), species with rapid biomass growth and low biomass investment in leaves (G3) and species with a non-specialized strategy (G4). After 1 month, species of groups G1 and G2 had higher leaf area, although not significantly, than species of groups G3 and G4. Comparisons between this functional classification and the taxonomic monocot/dicot classification showed that the functional classification captured a larger part of the variability in traits involved in leaf area development than the taxonomic monocot/dicot classification. This encourages the use of such a classification to describe plant functioning, to understand plant roles in plant–plant interactions and guide the choice of the best cover species to introduce into cropping systems. 相似文献