Selling of Tokay Gecko (Gecko gecko): A Money Making Business in Forest-Fringe area of Jalpaiguri District, West Bengal, India

2018 ◽  
Vol 9 (4) ◽  
pp. 979
Author(s):  
Chandan Datta
2015 ◽  
Vol 7 (2) ◽  
pp. 822-827 ◽  
Author(s):  
A. N. Dey ◽  
S. Datta ◽  
Bani Sharma

The ethno-medicinal practices were documented which were being used by tribal population dwelling forest fringe areas of Terai zone of West Bengal, India on under exploited, non conventional, traditional and indigenous plant species for the sustainable utilization of these resources to cure day to day ailments. A total number of forty seven medicinal plant species belonging to 25 families were documented during the survey period 2012-13, which was used in curing many diseases. Among the families, Euphorbiaceae, Zingeberaceae and Leguminosae were the dominant families that represented four species each. Herb was the highest proportion of plant species 18 (38%) followed by 15 tree species (32%), 8 species of shrubs (17%) and rest were climbers and fern. It was observed that the tribal forest fringe communities of the Terai zone of the West Bengal have a good ethno-medicinal knowledge of using plant resources and developed their own traditional practices to cure day to day diseases.


2021 ◽  
Vol 67 (2) ◽  
pp. 214-236
Author(s):  
Ram Nayan Yadava ◽  
Bhaskar Sinha

The present study attempts to assess poverty using two commonly used indices namely Progress out of Poverty Index (PPI) and Progress out of Deprivation Index (PDI or DI) of 325 households, spread in twenty-nine villages of Hoshangabad and Mandla districts of Madhya Pradesh, India. The analysis of PPI and PDI scores showed that the poverty of a household/community decreases as their level of the economy, occupation and education improve, irrespective of their social class to which the household/community belongs. With this finding, it is recommended that prioritisation of the beneficiaries of programmes and policies related to poverty eradication in the forest fringe villages should not be based on caste or social class, but on household’s occupation, economy and education.


Author(s):  
P. Dutta ◽  
A.M. Khan ◽  
S.A. Khan ◽  
J. Borah ◽  
C.K. Sharma ◽  
...  

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):  

Sign in / Sign up

Export Citation Format

Share Document