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Geospatial modelling techniques for rapid assessment of phytodiversity at landscape level in western Himalayas, Himachal Pradesh

机译:地理空间建​​模技术,可在喜马western尔邦喜马拉雅西部喜马拉雅山脉景观水平上快速评估植物多样性

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摘要

The mountainous state of Himachal Pradesh is known for its vast natural wealth, including forests, alpine meadows, rivers and valleys endowed with a rich array of life forms. However, this biodiversity hot spot is under great peril owing to human-induced disturbance factors. The findings on spatial representation of the habitat at a scale which can be used for conservation planning and rehabilitation are lacking. In this study IRS-1D, LISS-III sensor data have been used to assess the vegetation coupling with RS and GIS techniques in the state. This communication presents an approach for rapid assessment of biodiversity at landscape level using satellite remote sensing, phytosociological data and knowledge base in geospatial model. The geospatial analyses at the landscape level reveal that most of the fertile valleys of the region are occupied by the human activities and possess very low bio-richness. Inverse relationship has been observed with disturbance at landscape level vis-a-vis phytodiversity or richness of the vegetation type/habitat.
机译:喜马al尔邦多山的州以其丰富的自然财富而闻名,其中包括森林,高山草甸,河流和山谷,这些河流拥有丰富的生命形式。但是,由于人为干扰因素,该生物多样性热点处于巨大危险之中。缺乏关于可用于保护规划和恢复的规模的栖息地空间表征的发现。在这项研究中,IRS-1D,LISS-III传感器数据已用于评估该州的植被与RS和GIS技术的耦合。该交流提出了一种利用卫星遥感,植物社会学数据和地理空间模型中的知识库在景观水平上快速评估生物多样性的方法。在景观层面的地理空间分析表明,该地区大多数肥沃的山谷被人类活动所占据,并且生物富集度很低。已观察到景观水平相对于植物多样性或植被类型/栖息地的丰富程度受到干扰的逆关系。

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