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Floristic analysis and dominance pattern of sal(Shorea robusta)forests in Ranchi,Jharkhand,eastern India
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作者 Rahul Kumar Purabi Saikia 《Journal of Forestry Research》 SCIE CAS CSCD 2020年第2期415-427,共13页
The present study describes the floristic composition and dominance pattern of sal forests in Ranchi,Jharkhand,eastern India.Vegetation was studied in 47 belt transects(509100 m)that had 137 plant species(110 identifi... The present study describes the floristic composition and dominance pattern of sal forests in Ranchi,Jharkhand,eastern India.Vegetation was studied in 47 belt transects(509100 m)that had 137 plant species(110 identified and 27 unidentified)belonging to 51 families.The family Fabaceae with 17 species(8 spp.belonging to subfamily Faboideae,6 spp.to Caesalpinioideae and 3 spp.to Mimosoidieae)contributed the most to diversity,followed by Rubiaceae(8 spp.)and Euphorbiaceae(6 spp.).Tree density in sal was inversely related to species richness.Total tree density(C 10 cm GBH)in the studied forests was 397 individuals ha-1,with a basal cover of 262.50 m2 ha-1.Important plants of conservation concern are Pterocarpus marsupium Roxb,Andrographis paniculata(Burm.f.)Wall,Sterculiaurens Roxb.,Tinospora cordifolia(Willd.)Miers,and Asparagus densiflorus(Kunth)Jessop.Phanerophytes had the highest percentage(71%,with percentage deviation from normal life form of?25)followed by therophyte(15%,with percentage deviation?2).Observed percentage deviation from normal life form was much lower(with?2 percentage deviation)in both chamaephytes(8%)and therophytes(15%),suggesting that the studied sal forests are favorable for supporting various plants species.The forest management strategies should focus on the increasing demands for different timber and non-timber forest products to conserve the plant diversity of these natural forests. 展开更多
关键词 Sal forests Species richness Life form jharkhand
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Comparison of Different Models for Estimation of Global Solar Radiation in Jharkhand (India) Region
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作者 Kumari Namrata S. P. Sharma S. B. L. Saksena 《Smart Grid and Renewable Energy》 2013年第4期348-352,共5页
In this paper with the help of different empirical models we have estimated the value of monthly average global solar irradiation for Ranchi (23.3500°N, 85.3300°E), a tropical location. The values of monthly... In this paper with the help of different empirical models we have estimated the value of monthly average global solar irradiation for Ranchi (23.3500°N, 85.3300°E), a tropical location. The values of monthly average global solar radiation are calculated using the regression constants in the models (both linear and quadratic) suggested by: Angstrom Prescott, Rietveld, Ogleman, Akinoglu, Glover, Gopinathan and Sangeeta et al. All the regression models are investigated, validated and compared. On comparison it was observed that the quadratic models are overall more accurate for calculating the Global Solar Radiation for the Jharkhand region, but the Angstrom-Prescott model as well shows better variance for most of the months. The calculated data from these models is compared with the data provided by MNRE [1]. GSR values are important parameters for designing any Solar Power Systems as the whole solar power generation is directly proportional to the amount of global solar radiation. The calculated and measured data are simulated using MATLAB. 展开更多
关键词 GSR SUNSHINE DURATION Predicted Solar RADIATION DAILY Global RADIATION jharkhand
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