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Shah, M. A.
- Hydrology and Sediment Loading of Hokersar Wetland Sanctuary in the Kashmir Himalaya , India
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Indian Forester, Vol 130, No 8 (2004), Pagination: 899-910Abstract
Hydrological characteristics and sedimentation loading in Hokersar wetland of Kashmir Himalaya was monitored from November 2000 to October 2001. The computed water budget showed a substantial (91%) input from various surface inflows and just 9% through precipitation. Major water discharge (67%) occurs through surface outlets , whilst , 33% is attributed to evapotranspiration and other unaccounted for losses. Relatively low flushing rate (3.75 times/year) and high residence time (97.3 days) contribute to increased nutrient retention in the wetland. The inflow/outflow rates are closely linked to precipitation and water demand in'the catchment. Annual sediment accumulation of 16 ,862.2 metric tonnes (93% contributed by Doodganga Channel) accounts for gradual filling-in of the Kokersar wetland ecosystem.
- Prevention of Fall and Fracture: Precautionary Measures
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1 Endocrinology and Metabolic Disorders unit, Medical Research Centre-Kasturba Health Society, 17. K Desai Road, Vile Parle (W), Mumbai: 400 056, IN
1 Endocrinology and Metabolic Disorders unit, Medical Research Centre-Kasturba Health Society, 17. K Desai Road, Vile Parle (W), Mumbai: 400 056, IN
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The Indian Practitioner, Vol 68, No 10 (2015), Pagination: 45-48Abstract
No Abstract.- Inventory and Characterization of New Populations through Ecological Niche Modelling Improve Threat Assessment
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Authors
D. Adhikari
1,
Z. Reshi
2,
B. K. Datta
3,
S. S. Samant
4,
A. Chettri
5,
K. Upadhaya
6,
M. A. Shah
2,
P. P. Singh
1,
R. Tiwary
1,
K. Majumdar
3,
A. Pradhan
5,
M. L. Thakur
4,
N. Salam
2,
Z. Zahoor
2,
S. H. Mir
2,
Z. A. Kaloo
2,
S. K. Barik
1
Affiliations
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Department of Botany, University of Kashmir, Srinagar 190 006, IN
3 Department of Botany, Tripura University, Suryamaninagar, Agartala 799 022, IN
4 G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Himachal Unit, Mohal-Kullu 175 101, IN
5 Department of Botany, Sikkim University, Gangtok 737 102, IN
6 Department of Basic Science and Social Science, School of Technology, North-Eastern Hill University, Shillong 793 022, IN
1 Department of Botany, North-Eastern Hill University, Shillong 793 022, IN
2 Department of Botany, University of Kashmir, Srinagar 190 006, IN
3 Department of Botany, Tripura University, Suryamaninagar, Agartala 799 022, IN
4 G.B. Pant National Institute of Himalayan Environment and Sustainable Development, Himachal Unit, Mohal-Kullu 175 101, IN
5 Department of Botany, Sikkim University, Gangtok 737 102, IN
6 Department of Basic Science and Social Science, School of Technology, North-Eastern Hill University, Shillong 793 022, IN
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Current Science, Vol 114, No 03 (2018), Pagination: 519-531Abstract
Categorization of species under different threat classes is a pre-requisite for planning, management and monitoring of any species conservation programme. However, data availability, particularly at the population level, has been a major bottleneck in the correct categorization of threatened species. Till date, threat assessments have been mostly based on expert opinion and/or herbarium records. The availability of primary data on distribution of species and their p opulation attributes is limited in India because of inadequate field survey, which has been ascribed to resource constraints and inaccessibility. In this study, we demonstrate that ecological niche modelling (ENM) can be an economical and effective tool to guide surveys overcoming the above two constraints leading to the discovery of new populations of threatened species. Such data lead to improved threat assessment and more accurate categorization. We selected 14 threatened plants comprising 5 trees (Acer hookeri Miq., Bhesa robusta (Roxb.) Ding Hou, Gynocardia odorata Roxb., Ilex venulosa Hook. f. and Lagerstroemia minuticarpa Debb. ex P.C. Kanjilal), 8 herbs (Angelica glauca Edgew., Aquilegia nivalis Falc. ex Jackson, Artemisia amygdalina DC., Begonia satrapis C.B. Clarke, Corydalis cashmeriana Royle, Dactylorhiza hatagirea (D. Don) Soo, Podophyllum hexandrum Royle, and Rheum australe D. Don), and 1 pteridophyte (Angiopteris evecta (Forst.) Hoffm.) having distribution range in North East India, Eastern and Western Himalaya, and Jammu and Kashmir. The study was carried out between 2012 and 2016. ENM-based survey led to the discovery and characterization of 348 new populations. The data so obtained helped in assigning conservation status to 10 species, which earlier were never classified due to data deficiency. Using the new population and distribution data of the remaining four species, only one was confirmed regarding its existing status and two species were classified as ‘Critically endangered’ instead of the present classification as ‘Endangered’. The fourth species was classified as ‘Critically endangered’ against the earlier category of ‘Least concerned’.Keywords
Niche Modelling, Population Characterization, Threatened Plants, Threat Assessment.Full Text
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- Forest Cover Monitoring and Prediction in A Lesser Himalayan Elephant Landscape
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Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
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Current Science, Vol 115, No 3 (2018), Pagination: 510-516Abstract
We have monitored the forest cover depletion in parts of Assam and Arunachal Pradesh over an area of 42,375 km2 in an elephant landscape falling in the Lesser Himalaya, North East India and report the results here. The US Army topographic maps (1924) and multi-date satellite images (1975, 1990, 2000 and 2009) were visually interpreted on-screen for post-classification comparison and forest cover change detection. The exercise showed continuous high loss of forest cover during the study period. A land area having 17,846.27 km2 forest in 1924 was depleted to 12,514.56 km2 by 1975, 11,861.75 km2 by 1990, 10,808.92 km2 by 2000 and 10,256.58 km2 by 2009, thereby indicating a constant decrease in forest cover by 12.59%, 1.54%, 2.48% and 1.31% respectively. The total loss in forest cover was estimated to be about 7590 km2 from 1924 to 2009. The Cellular Automata Markov Model has predicted a further likely decrease of 9007.14 km2 by 2028. In general, more districts of Assam than Arunachal Pradesh and more plains than hills faced deforestation. We have identified increasing human population and subsequent demand on the land for cultivation as major reasons for forest cover depletion.Keywords
Change Detection, Deforestation, Elephant Landscape, North East India, Satellite Images.Full Text
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