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India's plant diversity database at landscape level on geospatial platform: prospects and utility in today's changing climate

机译:印度地理空间平台上景观级别的植物多样性数据库:当今气候变化中的前景和实用性

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摘要

Characterization, quantification and monitoring of biodiversity have been among the major challenges in biodiversity conservation. Until recently, spatial ecological database in India was almost non-existent. There is need of a robust and quality database of the biological diversity at species, community, ecosystem and landscape levels for identification of vulnerable ecosystems and risk species. In order to have a national level database on the spatial distribution of biological diversity, a nationwide project on the biodiversity characterization at landscape level was implemented and studies were carried out between 1998 and 2010 to characterize and map the flowering plants richness in the forested landscapes. The spatial database on vegetation types generated from temporal IRS LISS-III satellite imagery, road/rail network and settlements from topomaps and high-resolution satellite images, and species richness from field sampling were used to generate the spatially explicit species distribution maps and statistics. This study has resulted in the creation of a large baseline spatial database on vegetation types, porosity, patchiness, interspersion, juxtaposition, fragmentation, disturbance regimes, ecosystem uniqueness, terrain complexity and biological richness.
机译:生物多样性的表征,量化和监测一直是生物多样性保护的主要挑战。直到最近,印度几乎没有空间生态数据库。需要建立一个健全,高质量的物种,社区,生态系统和景观各级生物多样性数据库,以查明脆弱的生态系统和危险物种。为了建立国家一级的生物多样性空间分布数据库,已在全国范围内进行了关于景观多样性特征表征的项目,并在1998年至2010年之间进行了研究,以表征和绘制森林景观中开花植物的丰富度。利用从时空IRS LISS-III卫星图像生成的植被类型,道路/铁路网络以及地形和高分辨率卫星图像的定居数据,以及从田间采样获得的物种丰富度,来生成空间明晰的物种分布图和统计数据。这项研究导致建立了一个关于植被类型,孔隙度,斑块性,散布性,并置性,破碎性,扰动状况,生态系统独特性,地形复杂性和生物丰富度的大型基线空间数据库。

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