First report of eudialyte occurrence from the Sushina hill region, Purulia district, West Bengal

2011 ◽  
Vol 77 (1) ◽  
pp. 12-16 ◽  
Author(s):  
Aniket Chakrabarty ◽  
Kamal L. Pruseth ◽  
Amit Kumar Sen
2017 ◽  
Vol 9 (5) ◽  
pp. 10198
Author(s):  
Supriya Samanta ◽  
Dipanwita Das ◽  
Sudipta Mandal

The butterfly diversity of Baghmundi, Purulia District (22.600–23.500N & 85.750–86.650E), West Bengal, India was studied from January 2014 to December 2015 with photographic documentation.  A total of 54 butterfly species were recorded representing 39 genera in six families.  Nymphalidae was the most dominant family with 46.3% of the total species.  As this is the first report of butterfly diversity from this region, the present study may help in planning conservation strategies and generate awareness among the local people and government authorities to save wildlife and their habitats.


1985 ◽  
Vol 10 (1-2) ◽  
pp. 193-199
Author(s):  
Syed H. Akhter ◽  
A.K. Bhattacharya ◽  
D.K.Sen Gupta ◽  
I.K. Kaul
Keyword(s):  

2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Manab Kumar Saha

Fish diversity depends both on various physicochemical parameters and the biological components of the riverine ecosystem. During the study period from January 2017 to December 2019 the highest fish diversity and density were observed in post-monsoon and lowest in pre-monsoon season in the Kangsabati River, Purulia District of West Bengal. Twenty five fish species, associated with 19 genera, 10 families and 5 orders have been identified. It was recorded that the Cyprinidae was the predominant family, which represented 56% of the entire fish catch.


2020 ◽  
pp. 002190962096015 ◽  
Author(s):  
Sanat Kumar Guchhait ◽  
Susmita Sengupta

The paper aims to analyze poverty issues in rural households of India sampled purposively from the perspective of per capita Monthly Consumption Expenditure. In addition, the decomposition of poverty across social group affiliation and economic status adds another flavor to this study. The study concentrates on one of the backward areas of West Bengal, the district of Purulia, a resource-poor district with a distinct presence of scheduled social group population. The candidate villages were selected purposively keeping in mind the aspects of physical isolation and socio-economic stagnancy. Quantitative tools like Stepwise Multiple Regression and Decomposition analysis by FGT indices were instrumental in estimating the relative strengths of the factors affecting poverty. Besides, the study has simultaneously added the life history approach to integrate the QUAN-QUAL methods with an aim to produce a more complete picture. The critical findings include that the scheduled social groups, especially tribes, and daily wage casual laborers followed by agricultural laborers, were identified as the most vulnerable to poverty indicators in their respective population segments.


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