基于多元统计技术的巴基斯坦Rustam山谷家庭园林观赏植物指示种分析与评价

Shahab Ali, Shujaul Mulk Khan, Zeeshan Ahmad, Ujala Ejaz, Noreen Khalid
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引用次数: 2

摘要

观赏植物主要是为了美观而种植的,因为它们的水果、蔬菜、花朵和药用价值。房子里装饰着各种一年生和多年生植物。本研究以巴基斯坦Rustam河谷为研究对象,对观赏植物的组成、丰度和分布格局进行了评估,并特别参考了园艺实践/环境变量。采用定量生态学方法,以任意间隔观察不同的家庭花园。通过测量观赏植物的出现频率、相对频率、密度、相对密度和重要性值,确定各生境中最常见和最不常见的观赏植物种类。初步调查结果显示,该地区共有30科43种观赏植物。利用PC-ORD version 5对43个观赏植物种类和50个站点的存在-缺失数据(1,0)进行聚类和双向聚类分析,鉴定出4种不同的观赏植物群落。采用CANOCO 4.5版本,通过典型对应分析(canonical correspondence analysis, CCA)对观赏植物的环境和文化梯度进行评价。利用数据属性图确定了特定群落中特征植物的位置。景观CCA样地和问卷调查数据表明,灌溉、户型、种植目的和人工施肥是影响景观植物群落的主要因素。研究区观赏植物的物种多样性及其对生计的贡献,应进一步开展调查、保护和管理工作。
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Indicator species analysis and assessment of ornamental plants using multivariate statistical techniques in the home gardens of Rustam Valley, Pakistan
Ornamental plant species are mostly grown for aesthetic purposes, for their fruits, vegetables, flowers, and medicinal value. Houses are decorated with various annual and perennial plants. The present study was performed to assess the ornamental plant composition, abundance, and distribution pattern with a special reference to gardening practices/environmental variables in the Rustam Valley, Pakistan. Using quantitative ecological methods, different home gardens were observed at arbitrary intervals. The frequency, relative frequency, density, relative density, and importance values were measured to determine the most frequent and least frequent ornamental plant species in each type of habitat. The initial results showed a total of 43 ornamental plant species belonging to 30 families. Presence-absence data (1, 0) for the 43 ornamental species and 50 stations were analysed using cluster and two-way cluster analyses using the PC-ORD version 5, which resulted in the identification of four different ornamental plant communities. The CANOCO version 4.5 was used to evaluate the environmental and cultural gradients of ornamental plants through the canonical correspondence analysis (CCA). The positions of characteristic plant species in a particular community were confirmed using data attribute plots. The CCA plots of the ornamental and questionnaire data show that irrigation, home size, purpose of cultivation and the use of artificial fertilizers were the main factors affecting various ornamental plant communities. Additionally, further studies should be conducted to examine, conserve, and manage the ornamental plant species diversity and contributions of such species to livelihoods in the study area.
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