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Jayaraj, R. S. C.

Agrobio-Cultural Diversity of Alder Based Shifting Cultivation Practiced by Angami Tribes in Khonoma Village, Kohima, Nagaland

Abstract Views :156 | PDF Views:15

Authors

krishna Giri ¹, Gaurav Mishra ¹, R. S. C. Jayaraj ¹, Rajesh Kumar ¹

Affiliations
1 Rain Forest Research Institute, Jorhat - 785 001, IN

Source

Current Science, Vol 115, No 4 (2018), Pagination: 598-599

Abstract

North East India is one of the culturally diverse regions in the world inhabited by more than 200 tribes in eight states. Also, the region is one of the biodiversity hot spots of the world. The region is endowed with rich floral, faunal and sociocultural diversity. These tribes have originated from the ethnic groups of Tibeto-Burmese and Indo-Mongoloids¹. The tribal communities of this region live in hilly areas and depend on forest resources for their livelihood. Shifting cultivation is the major agricultural land use system in undulating hilly terrains of this region.

Full Text

References

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Rathore, S. S., Karunakaran, K. and Prakash, B., Ind. J. Trad. Know., 2010, 9(4), 677–680.

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Regression Equations for Estimating Tree Volume and Biomass of Important Timber Species in Meghalaya, India

Abstract Views :129 | PDF Views:17

Authors

Krishna Giri ¹, Rajiv Pandey ², R. S. C. Jayaraj ¹, R. Nainamalai ³, Subhash Ashutosh ³

Affiliations
1 Rain Forest Research Institute, Jorhat - 785 001, IN
2 Forest Research Institute, Dehradun - 248 001, IN
3 Forest and Environment Department, Government of Meghalaya, Shillong - 793 001, IN

Source

Current Science, Vol 116, No 1 (2019), Pagination: 75-81

Abstract

Linear regression models were developed for four ecologically and economically important tree species of Meghalaya, India, viz. Betula alnoides, Duabanga grandiflora, Magnolia champaca and Toona ciliata. In the present study a non-destructive approach has been used for measurement of required variables, i.e. diameter at breast height (DBH), basal diameter, tree height, end-diameters and length of frustum. Comparison of various models of relationship on the basis of adj. R² values showed that the value for linear function (V = f (d² h)) was more than 0.90 for all the four tree species, except lowest diameter class of T. ciliata (10–30 cm diameter class). Hence this linear regression equation was selected for development of diameter class-wise volume equations. Volume of the stem was taken as the dependent variable, while DBH and tree height were used as independent variables, transformed in the form of d² h to develop regression equation. Similarly, linear regression equations for each tree species were also developed using linear function [(V = f (d² ))], considering tree volume as an dependent variable and DBH as an independent variable, transformed in the form of V = d² . The present study is among a few attempts to develop regression models without the felling of trees since 1977 and an initial attempt using advanced measurement equipment in North East (NE) India, under the current regime of ban on tree felling. The regression equations developed in this study can be used for estimation of timber yield and carbon content of the selected tree species found in the Meghalaya forests.

Keywords

Biomass, Regression Equations, Tree Volume, Timber Species.

Full Text

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Carbon Storage Potential of Mangroves – Are We Missing the Boat?

Carbon Storage Potential Of Mangroves–Are we Missing the Boat?

Abstract Views :141 | PDF Views:18

Authors

P. Ragavan ¹, K. Sivakumar ², R. S. C. Jayaraj ³, P. M. Mohan ⁴, T. S. Rana ¹

Affiliations
1 CSIR-National Botanical Research Institute, Rana Pratap Marg, Post Box No. 436, Lucknow 226 001, IN
2 Centre for Advanced Studies in Marine Biology, Annamalai University, Parengipettai 608 502,, IN
3 Rain Forest Research Institute, Jorhat 785 010, IN
4 Department of Ocean Studies and Marine Biology, Pondicherry University, Brookshabad Campus, Port Blair 744 112, IN

Source

Current Science, Vol 116, No 6 (2019), Pagination: 889-891

Abstract

Increasing soil carbon stocks and protecting carbon-rich soils are crucial for achieving the Paris climate targets. Mangrove forests are the potential carbon sinks for mitigating the growing greenhouse gas emissions due to their highest carbon storage capacity per unit area compared to terrestrial forests. Furthermore, restricted global distribution of mangroves testifies their role in climate change mitigation as most effective at the national level rather than on a global scale. Nevertheless, lack of reliable estimates, insufficient data, discrepancy in the available data, increasing degradation rates and failure of conservation endeavours signify that we are missing the carbon storage potential of mangrove soil. So, here we emphasize the imperative need of country-wise site-specific precise estimates and an understanding of the spatial distribution of mangrove soil carbon stocks to recognize the actual climate mitigation potential of the mangroves as well as strengthen the conservation measures for the sustainability of mangroves.

Full Text

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Effect of plant growth promoting rhizobacteria and Organixxgro on tissue-cultured bamboo plantlets under nursery conditions

Abstract Views :88 | PDF Views:14

Authors

Krishna Giri ¹, Satyam Bordoloi ¹, Gaurav Mishra ¹, R. S. C. Jayaraj ¹, Navajyoti Bora ¹, Rupjyoti C. Baruah ¹, Bondita Borah ¹, Samiran Kakoti ¹

Affiliations
1 Rain Forest Research Institute, Jorhat 785 001, IN

Source

Current Science, Vol 121, No 5 (2021), Pagination: 615-617

Abstract

No Abstract.

Full Text

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Keibul Lamjao National Park: an ecological and cultural heritage of Manipur, North East India

Abstract Views :24 | PDF Views:7

Authors

Kambam Boxen Meetei ¹, Meribeni Tsopoe ¹, Krishna Giri ², R. S. C. Jayaraj ³

Affiliations
1 Rain Forest Research Institute, Jorhat 785 001, India, IN
2 Rain Forest Research Institute, Jorhat 785 001, India; Centre of Excellence on Sustainable and Management, Indian Council of Forestry Research and Education, Dehradun 248 006, India, IN
3 Rain Forest Research Institute, Jorhat 785 001, India; Principal Chief Conservator of Forests, Andaman and Nicobar Islands, Van Sadan Haddo 744 102, India, IN

Source

Current Science, Vol 123, No 11 (2022), Pagination: 1293-1294

Abstract

No Abstract.

Full Text

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