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Details for article 115 of 250 found articles
| Title: |
Geospatial Modeling of Plant Richness in Barsey Rhododendron Sanctuary in Sikkim Himalayas |
| Author: |
Kushwaha, S. P. S. Padmanaban, P. Kumar, Dinkar Roy, P. S. |
| Appeared in: |
Geocarto international |
| Paging: | Volume 20 (2005) nr. 2 pages 63-68 |
| Year: |
2005-06 |
| Contents: |
The paper presents a geospatial modeling approach for the assessment of plant richness in Barsey Rhododendron Sanctuary in Sikkim, a Himalayan State of India located in the “Indo-Burma” biodiversity hotspot. Remotely sensed data from Indian Remote Sensing Satellite IRS-1C Linear Imaging Self-Scanner (LISS-III) and field-based methods were synergistically used to model plant richness on 1:50,000 scale. It was found that the sanctuary is dominated by East Himalayan Moist Temperate Forest (55.50%), followed by Rhododendron Forest (23.77%), Degraded Forest (6.66%) and Hemlock Forest (0.78%). The vegetation map prepared through digital interpretation of satellite imagery was subjected to landscape analysis and assessment of biotic disturbance in terms of disturbance index. The disturbance index together with species richness, ecosystem uniqueness, total importance value and terrain complexity was modeled to assess the plant richness in this unique sanctuary. Out of the 120 km2 of the total geographical area of the sanctuary, 28.45 per cent was found to possess very high plant richness followed by high (50.84%), medium (6.96%) and low richness (13.75%). It was noted that plant richness assessment at ecosystem level presents a more realistic picture than at landscape level. The study demonstrated that remote sensing coupled with landscape analysis, ground inventory data and geospatial modeling holds good potential for rapid and operational assessment of plant richness. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 115 of 250 found articles
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