Titlebook: Environmental Change in South Asia; Essays in Honor of M Anup Saikia,Pankaj Thapa Book 2022 The Editor(s) (if applicable) and The Author(s)

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书目名称Environmental Change in South Asia被引频次学科排名




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书目名称Environmental Change in South Asia读者反馈学科排名

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Assessment of Climate Change Impacts on Floods and Low Flows of the Brahmaputra River,ncrease in all three rivers. The frequency of occurrence of flood flows is likely to increase and that of low flows are likely to decrease, especially near the end of this century. The projections presented in this article can be useful in adaptation planning as well as in supporting discussions on

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Population Structure and Regeneration Dynamics of Three Dominant Treeline Species from Treeline Ecoogical techniques to obtain age information. The population age structure was analyzed using a static life table and survivorship curves. All three species showed the reverse J-shaped age distribution indicative of undisturbed forests with sustainable regeneration. Young individuals mostly dominated

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,Long-Term Shoreline Change Analysis and Impact of Hard Coastal Structures on Shorelines—A Case Studh between land and water boundaries clearly. The shorelines were demarcated and digitized using various sources including LANDSAT, LISS and Google Earth Imageries. The datasets were saved based on the standard format of (DD/MM/YYYY) for analysis. The erosion and accretion rates have been calculated

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Reassessing the Karakoram Through Historical Archives,ure to present the evolution of the geographical term ‘the Karakoram’ and its spatial extent based on historical archives. We also provide a digital outline of the Karakoram region using GIS tools based on descriptive enumerations of the Royal Geographical Society (RGS) and the Survey of India (SoI)

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Vegetation Sensitivity to Changing Climate in Bangladesh Using SPOT-VGT NDVI Time Series Data,lly distributed random points in Bangladesh for the same period. A Pearson’s correlation coefficient was used to define the relationship of monthly growing season NDVI with monthly rainfall and temperature derived from CRU TS 3.2 datasets. And analysis of 30- and 60-day lag rainfall was also figured