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)

coherent

書目名稱Environmental Change in South Asia影響因子(影響力)




書目名稱Environmental Change in South Asia影響因子(影響力)學(xué)科排名




書目名稱Environmental Change in South Asia網(wǎng)絡(luò)公開度




書目名稱Environmental Change in South Asia網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Environmental Change in South Asia被引頻次




書目名稱Environmental Change in South Asia被引頻次學(xué)科排名




書目名稱Environmental Change in South Asia年度引用




書目名稱Environmental Change in South Asia年度引用學(xué)科排名




書目名稱Environmental Change in South Asia讀者反饋




書目名稱Environmental Change in South Asia讀者反饋學(xué)科排名

pancreas

ALT

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

小隔間

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

Culmination

Asymptomatic

Asymptomatic

,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

Communicate

教義

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)

柔聲地說

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