瓦拉纳西BHU热带干旱区不同植物功能类型草本盖度与牧草碳回归方程的建立

Alka Gupta, R. Sagar, Aakansha Pandey, Kajal G Singh
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引用次数: 0

摘要

草原是最大的碳汇之一,在碳循环中至关重要。然而,模拟每个物种的碳-覆盖关系是复杂的,模拟植物功能类型的地面植物覆盖简化了模型的开发,并提供了生理策略和生态系统过程之间的有益联系。本实验随机选取巴纳拉斯印度教大学校园内1×1米的115个样方。采用目视制图法记录各草本物种的盖度,并将每个1×1米样方划分为100个单元格进行测量;每个代表1%的覆盖率。按种计算牧草碳含量。在种类上,牧草碳和覆盖度进一步划分为不同的功能类型。前列腺、多年生植物、草和本地植物积累更多的碳,可以解决全球变暖问题。建立的植物覆盖度与碳含量的回归方程可用于全球范围内功能基团水平碳的无损估算。此外,非破坏性方法在维持热带草地多样性方面优于破坏性方法,因为生物质采伐会破坏稀有和濒危物种的栖息地空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment of regression equation between the herbaceous cover and herbage carbon of different plant functional types in a dry tropical grassland of BHU, Varanasi
Grasslands are one of the largest carbon sinks and are crucial in the carbon cycle. However, modelling each species' carbon versus cover relationship is complex, and modelling ground flora covers of plant functional types simplify model development and provide a helpful link between physiologic strategies and ecosystem processes. The present experiment randomly selected 115 quadrats of 1×1 meters from the Banaras Hindu University campus. The cover of each herbaceous species was recorded by visual charting method and measured by gridding each 1×1 meter quadrat into 100 cells; each represented 1% cover. Species-wise, herbage carbon content was calculated. Species-wise, herbage carbon, and cover were further categorized into different functional types. Prostate, perennials, grasses, and native plants accumulate more carbon and could solve global warming problems. The established regression equation between plant cover and carbon content could be used at a worldwide scale for non-destructive estimation of carbon at functional group levels. Furthermore, non-destructive methods are superior to destructive methods in maintaining the diversity of tropical grassland because biomass harvesting can destroy the habitat spaces of rare and endangered species.
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