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首页> 外文期刊>Folia Forestalia Polonica: Series A - Forestry >Spatial Analysis of Wildlife Habitat around Madihan forests of Mirzapur district, Uttar Pradesh in India, using Geospatial Technology
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Spatial Analysis of Wildlife Habitat around Madihan forests of Mirzapur district, Uttar Pradesh in India, using Geospatial Technology

机译:利用地理空间技术对印度北方邦米尔扎布尔地区Madihan森林周围的野生动物栖息地进行空间分析

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The tropical dry deciduous forests of Mirzapur district in Uttar Pradesh (state) in India are facing to severe threat from agricultural expansion, increased urbanisation, infrastructure development and unsustainable use of forest produce. The forests are nowadays fragmented and wildlife habitat is vanishing. Decreasing numbers of wild animal species requires using methods for preventing the loss of biodiversity. The present study concerns analysis of satellite remote sensing data of Landsat OLI (2013) in conjunction with Geographic Information System (GIS) and support of Geographic Positioning System (GPS) to identify suitable habitat for wild animals. The thematic maps regarding e.g. land use, forest cover type were prepared. The weighted overlay method was used for integration of the thematic layers for identification of potential habitat and corridors for wildlife movement. Most suitable (2.54%), moderately suitable (12.0%) and least suitable (16.20%) areas were delineated and represented in a map. Highly suitable habitat was found at Dadri and Kotwa forest; moderately suitable habitat was found in Darhi Ram forests. Least suitable areas were found in Kotwa and Patewar forests. Such data are the basis to assess the wildlife conservation measures.
机译:印度北方邦米尔扎布尔地区的热带落叶落叶林正面临着农业扩张,城市化进程加快,基础设施发展以及森林产品的不可持续利用等严重威胁。如今,森林零散,野生动物的栖息地正在消失。减少野生动物物种的数量需要使用防止生物多样性丧失的方法。本研究关注结合Landsat OLI(2013)的卫星遥感数据与地理信息系统(GIS)的分析,以及对地理定位系统(GPS)的支持以识别适合野生动物的栖息地。关于例如准备了土地利用,森林覆盖类型。加权叠加法用于整合主题层,以识别野生动植物潜在的栖息地和走廊。在地图上描绘了最合适的区域(2.54%),中合适的区域(12.0%)和最不适合的区域(16.20%)。在达德里(Dadri)和科特瓦(Kotwa)森林中发现了非常合适的栖息地;在达西拉姆森林中发现了适度合适的栖息地。在科特瓦和帕特瓦尔森林中发现最不适宜的地区。这些数据是评估野生动植物保护措施的基础。

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