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Table_1_Phyto-ecological analysis of Phytolacca acinosa Roxb. assemblages in Kashmir Himalaya, India.docx

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NIAID Data Ecosystem2026-03-13 收录
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Phyto-ecological studies are essential in understanding community structure, organization and their response to changes in other environmental factors. In this study we analyzed the phytosociological and soil characteristics of Phytolacca acinosa communities and their correlation. 110 quadrats were laid across ten randomly selected sites in Kashmir Himalaya, India. Soil analysis was done using standard protocols. Overall, 161 species were recorded, belonging to 128 genera and 49 families. The species richness (SR) ranges from 27 to 83. Highest IVI was recorded for Poa angustifolia (60.06) and least for Berberis lycium, Abies pindrow, Plectranthus ragosus, and Ailanthus altissima (0.37 each). P. acinosa showed 100% random associations with other plant species. Soil properties varied significantly across the selected sites. Significant positive correlation was found between species richness (SR), Organic matter (OM) (r = 0.79), Organic carbon (OC) (r = 0.79) and Shannon–Wiener index (H) (r = 0.92). Nitrogen content also showed positive correlation with SR and H. Floristic composition of P. acinosa assemblages was governed by soil properties and habitat characteristics of sampling sites. Areas with highest floral diversity had high soil fertility while areas with low soil fertility possess lower diversity and need restoration. The knowledge may prove helpful in management of these habitats, boost conservation and mitigate the effects of changing climate.

植物生态学研究对于解析群落结构、群落组织及其对其他环境因子变化的响应至关重要。本研究针对印度克什米尔喜马拉雅地区的商陆(Phytolacca acinosa)群落的植物社会学特征与土壤特征及其相关性展开分析。研究人员在该区域随机选取10个样点,共布设110个样方,土壤分析采用标准规程完成。本次调查共记录到161种植物,隶属于49科128属,样方的物种丰富度(SR)介于27至83之间。狭叶早熟禾(Poa angustifolia)的重要值指数(Importance Value Index,IVI)最高,达60.06;高山小檗(Berberis lycium)、喜马拉雅冷杉(Abies pindrow)、皱叶香茶菜(Plectranthus ragosus)与臭椿(Ailanthus altissima)的IVI最低,均为0.37。商陆(Phytolacca acinosa)与其他植物物种间呈现100%的随机关联。各样点的土壤性质存在显著差异。研究发现,物种丰富度(SR)与有机质(OM,r=0.79)、有机碳(OC,r=0.79)及香农-威纳指数(H,r=0.92)均存在显著正相关关系;土壤氮含量同样与物种丰富度(SR)及香农-威纳指数(H)呈正相关。商陆群落的区系组成受样点的土壤性质与生境特征共同调控。植物多样性最高的区域土壤肥力也最高,而土壤肥力较低的区域多样性水平更低,亟需开展生态修复。本研究成果可为该类生境的管理提供理论参考,有助于提升保护成效并减缓气候变化带来的影响。
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2022-08-04
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