巴基斯坦开伯尔-普赫图赫瓦省斯瓦特Matta Kharari村原生植物的生态评价

Q4 Agricultural and Biological Sciences Proceedings of the Pakistan Academy of Sciences: Part B Pub Date : 2023-06-24 DOI:10.53560/ppasb(60-2)750
Shima Habib, Lal Badshah, Ishtiaq Ahmad, Waqar Ahmad, Abdullah, Shujaul Mulk Khan
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摘要

植物物种组成、多样性和分布是由不同环境因素决定的植被的层次表达。进行了一项研究,以记录斯瓦特省Matta Kharari地区植物物种的区系组成和生物光谱。该地区尚未进行生态勘探。我们使用定量生态学技术对植物物种进行采样。建立了67个样方,草本为1x1 m2,灌木为5x5 m2,树木为10x10 m2。使用多元统计技术对植物物种数据进行分析。我们评估了42科76种植物。菊科和蔷薇科各有8种,其次是毛茛科、Lamiaceae和Moraceae,各有4种。在生命形式类别中,地生植物占主导地位(13种,17.10%),其次是兽生植物(12种,15.87%)、纳米显生植物(11种,14.47%)和变色植物(10种,13.58%)。此外,中间叶(36.84%)是主要的叶光谱类别,其次是纳米叶(30.26%)、小叶(27.63%)和巨叶(2.63%)。双向聚类分析将植被分为三类。去趋势对应分析显示了植物在混合阵列中的分布,因为所探索的位置具有相似的气候因素和植被特征。我们阐明了气候因素和地形的变化带来了植被的变化。从生命形式和叶谱水平了解这些反应将更好地了解和了解植物物种及其群落或协会如何应对未来气候变化。目前的研究可以作为未来大规模研究的基线。
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Ecological Assessment of the Native Flora of Matta Kharari Village, Swat, Khyber Pakhtunkhwa, Pakistan
Plant species composition, diversity and distribution is a hierarchical expression of vegetation determined by different environmental factors. A study was conducted to document the floristic composition and biological spectrum of plant species of the Matta-Kharari region, Swat. The region has not been ecologically explored yet. We used quantitative ecological techniques for sampling plant species. Sixty-seven quadrats of 1x1 m2 for herbs, 5x5 m2 for shrubs and 10x10 m2 size for trees were established. Plant species data were analyzed using multivariate statistical techniques. We evaluated 76 plant species belonging to 42 families. Asteraceae and Rosaceae were the leading families with 8 species each, followed by Ranunculaceae, Lamiaceae and Moraceae with 4 species each. Among life form classes i.e., geophytes were dominant (13 species, 17.10 %), followed by therophytes (12 species, 15.87 %), nanophanerophytes (11 species, 14.47 %), and chamaephytes (10 species, 13.58 %). Moreover, Mesophylls (36.84 %) were the dominant leaf spectra class followed by nanophyll (30.26 %), microphyll (27.63 %), and megaphyll (2.63 %). The two-way cluster analysis classified the vegetation into three clusters. The detrended correspondence analysis shows the distribution of plants in a mixed array because the locations explored are characterized by similar climatic factors and vegetation. We elucidate that the variation in climatic factors and topography brings variation in vegetation. Understanding these responses at the life form and leaf spectra level will provide a better understanding and knowledge that how plant species and their communities or associations respond to changes in climate in the future. The current study could be utilized as a baseline for large-scale studies in the future.
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Proceedings of the Pakistan Academy of Sciences: Part B
Proceedings of the Pakistan Academy of Sciences: Part B Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
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