Morphodynamic Change of Fraserganj and Bakkhali Coastal Stretch of Indian Sundarban, South 24 Parganas, West Bengal, India

2015 ◽  
Vol 5 (0) ◽  
pp. 1 ◽  
Author(s):  
Ismail Mondal ◽  
Jatisankar Bandyopadhyay ◽  
Parthasarathi Chakrabarti ◽  
Debasish Santra
Keyword(s):  
2017 ◽  
Vol 24 (1) ◽  
pp. 861 ◽  
Author(s):  
Amrita Sen ◽  
Sarmistha Pattanaik

Abstract We document the economic and socio-cultural vulnerability of a forest-dependent community inhabiting the forest fringe island of Satjelia in the Indian Sundarban. Using simple artisanal methods, they have practiced traditional livelihoods like fishing and collecting wild honey from the forests for more than a century. Despite having established cultural integrity and traditional occupations, this group is not indigenous, and are therefore treated as 'others' and 'settlers.' An ethnographic study describes these various forms of livelihoods and the ways that threatens local subsistence. We also document the bureaucratic and hierarchical structure of protected area (PA) management, showing it has little or no accommodation of this community's local traditional knowledge. Finally, we ask whether there is any scope for integrating 'non-indigenous' environmental knowledge, for a more egalitarian transformation of socio ecological relations within these communities. Keywords: Conservation, conflict, indigenous, political ecology, Sundarban, traditional livelihoods


Planta Medica ◽  
2007 ◽  
Vol 73 (09) ◽  
Author(s):  
M Gangopadhyay ◽  
R Bhattacharya ◽  
D Chakraborty ◽  
S Bhattacharya ◽  
A Mitra ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
pp. 60-69 ◽  
Author(s):  
Pijush Basak

The South West Monsoon rainfall data of the meteorological subdivision number 6 of India enclosing Gangetic West Bengal is shown to be decomposable into eight empirical time series, namely Intrinsic Mode Functions. This leads one to identify the first empirical mode as a nonlinear part and the remaining modes as the linear part of the data. The nonlinear part is modeled with the technique Neural Network based Generalized Regression Neural Network model technique whereas the linear part is sensibly modeled through simple regression method. The different Intrinsic modes as verified are well connected with relevant atmospheric features, namely, El Nino, Quasi-biennial Oscillation, Sunspot cycle and others. It is observed that the proposed model explains around 75% of inter annual variability (IAV) of the rainfall series of Gangetic West Bengal. The model is efficient in statistical forecasting of South West Monsoon rainfall in the region as verified from independent part of the real data. The statistical forecasts of SWM rainfall for GWB for the years 2012 and 2013 are108.71 cm and 126.21 cm respectively, where as corresponding to the actual rainfall of 93.19 cm 115.20 cm respectively which are within one standard deviation of mean rainfall.


1949 ◽  
Vol 18 (15) ◽  
pp. 178-179
Author(s):  
Richard L. Park
Keyword(s):  

Asian Survey ◽  
1979 ◽  
Vol 19 (7) ◽  
pp. 718-727 ◽  
Author(s):  
Jnanabrata Bhattacharyya
Keyword(s):  

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