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Co-Authors
- Ramakrishna Hegde
- Mohan Varghese
- S. Padmini
- S. Varadharajan
- C. Buvaneswaran
- Rekha R. Warrier
- krishna Giri
- Gaurav Mishra
- Rajesh Kumar
- Krishna Giri
- Rajiv Pandey
- R. Nainamalai
- Subhash Ashutosh
- P. Ragavan
- K. Sivakumar
- P. M. Mohan
- T. S. Rana
- Satyam Bordoloi
- Navajyoti Bora
- Rupjyoti C. Baruah
- Bondita Borah
- Samiran Kakoti
- Kambam Boxen Meetei
- Meribeni Tsopoe
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Jayaraj, R. S. C.
- Variation in Seed and Seedling Characteristics of Acacia Mangium Willd and A. Auriculiformis A. Cunn. Ex Benth
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Indian Forester, Vol 126, No 4 (2000), Pagination: 382-388Abstract
Acacia mangium and A. auriculiformis are two species of Australian Acacias widely planted as exotics in humid tropical climates. Early introductions of A. auriculiformis to India resulted a land race of poor form. New seedlots of both the species were obtained from native collections of Australia and Papua New Guinea as well as from established Seedling Seed Orchards. These collections were compared with earlier introductions for seed and seedling characteristics and early performance in the field A. auriculiformis had larger and heavier seed and more seedling biomass than A. mangium but the species did not differ in the shape of seed. The Oriomo seedlots ofPNG are reported to perform well in moist areas and the same trend was seen in early growth performance in the present location which receives an annual rainfall of 1500mm. The study has to be continued to identify suitable seedlots for the region.
- Response of Important Tropical Tree Species to Elevated CO2
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Indian Forester, Vol 136, No 11 (2010), Pagination: 1439-1444Abstract
Global warming plays a major role in climate change which is caused mainly due to increase in CO2 level in the atmosphere. Present study attempted to evaluate four important tropical tree-species, Tectona grandis, Ailanthus excelsa, Casuanna equisetifolia and Casuarina ,Jungkuhniana for adaptation to elevated levels of CO2 at nursery stage. The study was conducted inside the poly tunnels and CO2 enrichment was done to double the concentration. Seedlings in poly tunnel without CO2 enrichment served as control The short term experiments revealed that of the four species studied, casuarinas performed well under elevated CO2 conditions in terms of all growth parameters studied. The performance of teak alone was poor indicating adverse effect of CO2 enrichment on morphological traits of tbiB species as seen by reduced leaf area, lesser dry' matter accumulation both in shoot and ischolar_main system and poor Seedling Quality Index at elevated CO, levels. Thus, in the present study, all the species except teak showed a positive response to CO2 enrichment in terms of morphological traits while Cuuarina equisetifolia and C. junghuhniana showed better growth and seedling quality indicating their better adaptability to elevated CO2level.- Research Needs Time
Abstract Views :330 |
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Indian Forester, Vol 139, No 3 (2013), Pagination: 275-275Abstract
No Abstract- Need for a Code of Ethics in Forestry Research in India
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Indian Forester, Vol 139, No 3 (2013), Pagination: 272-274Abstract
No Abstract- Agrobio-Cultural Diversity of Alder Based Shifting Cultivation Practiced by Angami Tribes in Khonoma Village, Kohima, Nagaland
Abstract Views :265 |
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Authors
Affiliations
1 Rain Forest Research Institute, Jorhat - 785 001, IN
1 Rain Forest Research Institute, Jorhat - 785 001, IN
Source
Current Science, Vol 115, No 4 (2018), Pagination: 598-599Abstract
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
- https://www.quora.com/in/How-many-tribes-are-there-in-Northeast-India (retrieved on 30 April 2018 at 09.06 am).
- Talukdar, N. C. and Thakuria, D., ENVIS Newsletter on Himalayan Ecology. 2015, 12(4), 5.
- Rathore, S. S., Karunakaran, K. and Prakash, B., Ind. J. Trad. Know., 2010, 9(4), 677–680.
- http://northeasttourism.gov.in/khonoma.html#sthash.cFZTYDjL.dpbs (retrieved on 30 April 2018 at 09.10 am).
- Regression Equations for Estimating Tree Volume and Biomass of Important Timber Species in Meghalaya, India
Abstract Views :239 |
PDF Views:87
Authors
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
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: 75-81Abstract
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
References
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- Carbon Storage Potential of Mangroves – Are We Missing the Boat?
Abstract Views :174 |
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Authors
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Current Science, Vol 116, No 12 (2019), Pagination: 2071-2071Abstract
No Abstract,Keywords
No Keywords.Full Text
- Carbon Storage Potential Of Mangroves–Are we Missing the Boat?
Abstract Views :246 |
PDF Views:80
Authors
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
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: 889-891Abstract
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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Abstract Views :178 |
PDF Views:82
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
1 Rain Forest Research Institute, Jorhat 785 001, IN
Source
Current Science, Vol 121, No 5 (2021), Pagination: 615-617Abstract
No Abstract.Full Text
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- Keibul Lamjao National Park: an ecological and cultural heritage of Manipur, North East India
Abstract Views :135 |
PDF Views:64
Authors
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
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: 1293-1294Abstract
No Abstract.Full Text
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