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Sanction Date: |
10-01-2020 |
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Project Category |
MG |
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Year |
2019-2020 |
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Project Duration |
3 Years + 02 Months and 12 Days Project Extension + 06 Months Project Extension |
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BTA : |
BCM |
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Project Site/ State/ Districts/ Villages Covered: |
Alpine region of Western Himalaya (Jammu and Kashmir,
Himachal Pradesh and Uttarakhand states)
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Organization/ Implementation Agency: |
Indian Institute of Remote Sensing (IIRS) ISRO
Dept. of Space Govt. of India 4, Kalidas Road
Dehradun, Uttarakhand |
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Project Partners: |
S.No. |
Name |
| 1. |
G.B. Pant National Institute of Himalayan Environment
& Sustainable Development (GBPNIHESD), KosiKatarmal, Almora, 263643
|
| 2. |
Uttarakhand Space Application Centre (USAC)
131/2, Vasant Vihar
Dehradun, Uttarakhand, 248006
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| 3. |
CSIR-Institute of Himalayan Bioresource Technology
(IHBT), Post Box # 6, Palampur, Himachal Pradesh,
176061
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| 4. |
Institute of Mountain Environment (IME), Bhaderwah
Campus, University of Jammu, Bhaderwah, Jammu &
Kashmir, 182222
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| 5. |
Wildlife Institute of India (WII), Dehradun
P.O. Box#18, Chandrabani, Dehradun, 248002
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| 6. |
University of Kashmir (UoK)
2
Hazratbal, Srinagar, Jammu and Kashmir, 190006
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|
Lead Proponent: |
Dr. Hitendra Padalia
Indian Institute of Remote Sensing (IIRS) ISRO
Dept. of Space Govt. of India 4, Kalidas Road
Dehradun, Uttarakhand
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|
Project Brief Description: |
Biodiversity information for the alpine zones of the Himalaya is scanty and traditional
methods and approaches of biodiversity assessment are limited to spot surveys. The
vastness of terrain, ruggedness, higher altitudinal limit, and harsh conditions of alpine
regions, however, makes field monitoring of alpine vegetation and pattern of plant
diversity difficult and time consuming. In the absence of baseline information on alpines
in Western Himalaya, it is not possible to take stack account, and prepare pol icies on
management and mitigation of this critical zone of the Himalaya. There is no interoperable and easy to use database for decision support and policy making. Information
is needed on alpine biodiversity, spatially explicit data on patterns of alpin e biodiversity
is in order to prepare management policies. Remote sensing based studies have been
attempted for mapping and monitoring of high altitude IHR including alpine zones. As part
of ""Biodiversity Characterization at Landscape Level" project executed by IIRS, mapping
of vegetation types and inventory of plant species was carried out for entire country
including alpine region. The portrayal of richness of plant resources of the region was
made in the form of biological richness (high, moderate and low). As part of this project,
alpine pastures were distinguished as a distinct class for IHR using satellite images, and
in some areas dry scrub and moist scrub were also mapped. However, alpine zones of
Himalaya harbor a range of plant communities, which remain to be aptly characterized
and classified using satellite remote sensing data. Field-based studies have identified
factors responsible for species diversity at local scales but these factors and their
relationship with diversity has not been investigated to unravel the spatial patterns of
alpine plant biodiversity at landscape level in Western Himalaya using modern tools of
remote sensing and geo-informatics.
|
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Beneficiaries/ Stakeholders: |
State Forest Departments, State
Biodiversity Boards, Medicinal Plant Boards and State Sheep and Wool Development
Boards.
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|
Activity Chart (For 3 years) |
Click Here |
| Project Objectives |
Quantifiable Deliverables |
Monitoring Indicators |
| • To characterize spatial extent and patterns of alpine plant communities in Western Himalaya (J&K, H.P. and U.K.) using multi-scale EO data; |
• UAV based detailed plant community maps (all 3 states) |
• Developed plant communities maps (Nos.) |
| • To assess alpine vegetation composition and diversity following a unified systematic and multistage sampling protocol; |
• Systematic grid based alpine plant species database (03 IHR states) |
• Database developed (Nos.) |
| • To determine EO-based environmental proxies of alpine biodiversity and ecosystem dynamics; |
• Develop Hotspot maps of species richness (03 IHR states) |
• Number of Hotspot maps of species richness developed (Nos.) |
| • To develop predictive models for multi-scale prediction of Indian Himalayan alpine plant diversity patterns linking environmental proxies and habitat variables; |
• Alpine plant species and spatial database organized in a web-based database management system |
• Developed the spatial database on alpine plant species (Nos.) |
| • To develop a web-based information system on IBIN supporting species and spatial database, web analytics and data/information dissemination for planning and management. |
• Development of web-based information system on IBIN platform |
• Developed web based information system |
| |
• Develop the knowledge products: 01 Science Brief, 01 manual document and 2-3 publications in well reputed journal |
• No. of Reports/Research articles/Policy documents prepared and published (Nos.) |
