Diversity Patterns of Vascular Plants at Varied Elevations in Arghakhanchi, West Nepal

B. Nepali, J. Skartveit, C. Baniya
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Abstract

The genuine image of biodiversity, as well as their germplasm, is visualized by the turnover of species rather than their similarities in each location. The major goal of this study was to determine the b-diversity pattern of vascular plants growing at 100 m contour elevations and to explore its association with a-diversity and elevation. Primary data were gathered utilizing 4-6 10 x 10 m2 quadrats at 100 m contour elevation, on both the south and north sides, in Arghakhanchi district, west Nepal. Beta diversity represents the change in diversity of species between two communities and is measured by two different matrices: species turnover and similarity. Between two adjacent elevational bands, the species turnover was calculated using the Bray-Curtis dissimilarity index and similarity was assessed using the Jaccard index technique in the Vegan package for R version 4.03. The species richness (a-diversity) and b-diversity indices (Bray-Curtis dissimilarity index and Jaccard similarity index) were regressed by generalized linear model (GLM) method with elevation. The species richness and Jaccard similarity index suggests statistically significant unimodal structure with elevation; however, Bray-Curtis dissimilarity index suggests statistically significant but reverse unimodal pattern. As a result, rather than species turnover, the presence of more related species usually creates the peak area of a unimodal pattern of alpha diversity. The geographical scale of biodiversity loss or its effective preservation by human activities is revealed by beta-diversity. Any region with high beta diversity suggests a wide variety of species, which aids in the administration of conservation programs.
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尼泊尔西部阿哈汉奇不同海拔维管植物多样性格局
生物多样性的真实形象,以及它们的种质资源,是通过物种的更替而不是它们在每个地点的相似性来可视化的。本研究的主要目的是确定生长在100 m等高线海拔的维管植物的b多样性格局,并探讨其与a多样性和海拔的关系。在尼泊尔西部的Arghakhanchi地区,利用4-6个10 × 10平方米的样方在100米等高线海拔上收集了主要数据。Beta多样性代表了两个群落之间物种多样性的变化,用物种周转和相似性两种不同的矩阵来衡量。在两个相邻海拔带之间,采用Bray-Curtis不相似指数计算物种更替,并采用Jaccard指数技术对R 4.03版本的Vegan包进行相似性评估。采用广义线性模型(GLM)对物种丰富度(a-多样性)和b-多样性指数(Bray-Curtis不相似指数和Jaccard相似指数)进行了随海拔高度的回归。物种丰富度和Jaccard相似性指数随海拔高度呈显著的单峰结构;然而,布雷-柯蒂斯差异指数显示统计上显著但反向单峰模式。因此,更多亲缘物种的存在通常会产生α多样性单峰模式的峰值面积,而不是物种更替。生物多样性揭示了人类活动导致生物多样性丧失或有效保护的地理尺度。任何具有高β多样性的地区都表明物种种类繁多,这有助于保护计划的管理。
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来源期刊
Journal of Plant Resources and Environment
Journal of Plant Resources and Environment Agricultural and Biological Sciences-Plant Science
CiteScore
0.60
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