首页> 外文期刊>Kew Bulletin >Elliptic Fourier Analysis of leaf outlines in five species of Heteropsis (Araceae) from the Reserva Florestal Adolpho Ducke, Manaus, Amazonas, Brazil
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Elliptic Fourier Analysis of leaf outlines in five species of Heteropsis (Araceae) from the Reserva Florestal Adolpho Ducke, Manaus, Amazonas, Brazil

机译:椭圆傅立叶分析,来自巴西马萨诸塞州马瑙斯的Reserva Florestal Adolpho Ducke的5种杂种(天南星科)的叶轮廓

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摘要

A pilot study of leaf outline morphometrics was carried out on populations of five species of Heteropsis located in the Reserva Florestal Adolpho Ducke near Manaus, Amazonas, Brazil: H. flexuosa (Kunth) G. S. Bunting, H. macrophylla A. C. Sm., H. spruceana Schott, H. steyermarkii G. S. Bunting and H. tenuispadix G. S. Bunting. The aim of the study was to investigate quantitative methods for discriminating species within a local area based on vegetative morphology in a genus where fertile parts are often difficult to find in the field; this study focussed on leaf outline shape. Using digital images of 347 leaves, outlines were captured as coordinates using the TpsDig software and analysed using Elliptic Fourier Analysis (EFA). Principal Component Analysis (PCA) was used to reduce the 160 elliptic Fourier coefficient descriptors to a smaller number of independent shape variables corresponding to the principal component axes. The first nineteen shape variables (constrained by the smallest species sample, N = 20) were then subjected to Linear Discriminant Analysis (LDA) to find new axes that would discriminate the five species to the maximum extent. The first six shape variables were visualised by a reification procedure in order to illustrate their characteristic contribution to the total shape variation within all five species. The results showed that the mean shapes of all five species were significantly different, but shape variation within each species overlapped with the others. Percentage assignment of individuals to their correct species was encouragingly high given that only outline shape was used, but was not high enough overall to provide reliable identification. Elimination of one species (H. steyermarkii) using easily observed qualitative vegetative characters improved discrimination of the remaining four. The investigation of new approaches to identification is potentially valuable for conservation of natural populations — the root fibre of Heteropsis is extracted from primary forest and is a valuable non-timber forest product that forms the basis for an important local industry in Amazonia.
机译:对巴西亚马孙州马瑙斯附近的Reserva Florestal Adolpho Ducke的五种杂种的种群进行了叶轮廓形态计量学的初步研究:H. flexuosa(Kunth)GS Bunting,H. macrophylla AC Sm。,H. spruceana Schott,H。steyermarkii GS旗布和H. tenuispadix GS旗布。这项研究的目的是研究一种定量方法,该方法基于一个植物的营养形态学来鉴别当地的物种,而该植物通常在田间很难找到肥沃的部分。这项研究集中于叶片轮廓形状。使用347片叶子的数字图像,使用TpsDig软件将轮廓捕获为坐标,并使用椭圆傅立叶分析(EFA)进行分析。主成分分析(PCA)用于将160个椭圆傅立叶系数描述符简化为与主成分轴相对应的较少数量的独立形状变量。然后,对前十九个形状变量(受最小物种样本约束,N = 20)进行线性判别分析(LDA),以找到可以最大程度区分这五个物种的新轴。为了说明它们对所有五个物种内总形状变化的特征贡献,通过修正程序将前六个形状变量可视化。结果表明,这五个物种的平均形状均存在显着差异,但每个物种内的形状变化却相互重叠。鉴于仅使用轮廓形状,因此将个体分配给其正确物种的百分比令人鼓舞地很高,但总体而言不足以提供可靠的识别。使用容易观察到的定性营养性特征消除一种物种(H. steyermarkii)可改善对其余四种的辨别力。对新鉴定方法的研究对于保护自然种群具有潜在的价值-杂种植物的根纤维是从原始森林中提取的,并且是有价值的非木材森林产品,构成了亚马逊地区重要的当地产业的基础。

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