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Vasu, N. K.
- Management and Research Perspectives for Staggered Flowering in Bamboo
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Indian Forester, Vol 136, No 7 (2010), Pagination: 884-897Abstract
Out of the three types of bamboo flowering, gregarious flowering results in ecological disaster and enormous loss to the bamboo resource. Based on observations and experience, certain indications to predict the occurrence of flowering has been put forward, however, the timing mechanism and behavioural trigger for the flowering remains an unexplained biological mystery despite various genetic and ecological hypotheses. For indigenous people who depend on bamboo for their livelihood, bamboo flowering foretells days of hardship. It is, therefore, essential to explore the way-out and formulate appropriate strategies to stagger the gregarious flowering so as to prevent the enormous loss of bamboo resource all at once. Staggerness in flowering of a particular species can be achieved by identifying cohorts having either similar flowering cycle but different temporal periods or having a different flowering cycle and raising plantations from seeds taken from different flowering cohorts. This would require precise assessment of bamboo resource, identification of flowering cohorts and proper management. Staggered bamboo flowering may offer several advantages from management point of view so as to combat itsailing effects.Keywords
Bamboo, Flowering, Staggerness, Management, Research Aspects- Land Cover Mapping and Dynamics of Kaziranga National Park, Assam, India
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1 Rain Forest Research Institute, Jorhat-785001, Assam, IN
2 Kaziranga National Park, Bokakhat, Assam, IN
1 Rain Forest Research Institute, Jorhat-785001, Assam, IN
2 Kaziranga National Park, Bokakhat, Assam, IN
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Indian Forester, Vol 140, No 1 (2014), Pagination: 11-17Abstract
Precise mapping of Kaziranga National Park (KNP), the natural world heritage site, is the prime objective of this paper. High resolution Indian remote sensing satellites including IRS P6 Panchromatic and LISS 4 image, with 2.5 m and 5.8 m spatial resolution respectively, were used for the same along with GPS and extensive field survey. A theme based hybrid approach was followed for classification of digital remote sensing images. The overall classification accuracy was estimated to be 91.7% where as K value implies that the classification process was avoiding 89.9% errors of a hat completely random classification. The Eastern alluvial grassland is found to be the predominant vegetation type which occupies 50.6% of the total park area. Semi-evergreen and moist mixed deciduous forests together occupy 21.8% of the total area followed by short grass (7.7 %). A substantial area (11.7%) was found to be eroded in to the river Brahmaputra and as a result core area of the park is found to be decreased when compared with previous assessments.Keywords
Kaziranga, Land cover, Mapping, GIS.References
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