

Research on Aravalli's
The Aravalli range is a fragile ecotonal arid ecosystem of western India, which acts as a barrier against the desertification of the Thar Desert. Besides increasing biotic pressure, land cover change, precipitation variability, and climate water deficits have a high potential to render the exploitation of resources unsustainable.
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The Aravalli range is a repository of numerous endemic flora and fauna and is home to diverse faith, social, and linguistic groups.
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The study is on the urgent basis addressing the sensitivity, fragility, and vulnerability status for rangeland ecosystem conservation management practices. Based on 17 distinct environmental indicators under five themes: topography, geo-climatic, socio-economic, ecological, and edaphic, which measure their susceptibility.
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However, the entire Aravalli, which covers 90% of the forest cover of Rajasthan state, is divided into three zones: upper, middle (central), and lower. The study focused on the central range for their eco-sensitivity assessment and zonation of their sensitive area for their conservation planning. research provides a distinct outlook (assessment of vulnerable eco-regions) and measures selection regarding their role in assessment, eco-sensitivity zonation mapping and in management strategies. Contemporaries’ assessment, in some of the studies, indices were defined arbitrarily. Even though the study determines the indicators that were as per the OECD organization, climatology and topographical variability, eco-sensitivity is a fragile land, areas near protected zones and ecological corridors regions which act as shock absorbers or provide high protection for ecologically dedicated, protected or reserved areas. Therefore, it assesses the levels of vulnerability of the central Aravalli region in 2020.​
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Understanding the ecological dynamics of the Aravalli Range is essential for devising effective conservation and management strategies. Traditional ecological studies, while valuable, often fall short in providing the comprehensive, real-time data necessary to monitor and address the rapid environmental changes occurring in the region. For that the comprehensive assessment of spatio-temporal changes and trade off synergies and its derivatives in the Aravalli’s should be conducted.
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Remote sensing technologies, such as satellite imagery, Synthetic Aperture Radar (SAR), and Light Detection and Ranging (LiDAR), enable the collection of high-resolution data over large areas, providing detailed insights into land cover changes, vegetation health, and forest structure. Integrating Geospatial techniques, including Geographic Information Systems (GIS) and spatial modeling, complement remote sensing by enabling the integration, analysis, and visualization of diverse datasets for monitoring forest disturbances and vertical profile retrieval.
Highlights
Environmental Conservation and Management
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Biodiversity Preservation: The Aravalli Range is home to diverse flora and fauna, including several endangered and endemic species. Understanding spatio-temporal changes helps in identifying critical habitats and biodiversity hotspots, aiding in their preservation.
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Forest Health Monitoring: The vertical profile retrieval of vegetation and assessment of forest disturbances using advanced geospatial techniques provide insights into forest health, enabling timely interventions to combat deforestation, illegal logging, and forest degradation.
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Climate Change Mitigation and Adaptation
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Carbon Sequestration: Vegetation profiling helps in quantifying carbon stocks, which is crucial for understanding the role of the Aravalli forests in carbon sequestration and climate regulation.
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Socio-Economic Benefits
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Sustainable Livelihoods: Local communities depend on the Aravalli forests for their livelihoods. By ensuring sustainable management of forest resources, the study supports the livelihoods of these communities through the promotion of sustainable forestry practices and eco-tourism.
Eco-vulnerability evaluation model
Ecosystem Pressure


Ecosystem Resilience
Ecosystem Sensitivity


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References
Raj, A., & Sharma, L. K. (2023). Spatial E-PSR modelling for ecological sensitivity assessment for arid rangeland resilience and management. Ecological Modelling, 478, 110283.
Raj, A., & Sharma, L. K. (2022). Eco-biophysical indicators to ascertain the sustainability aspect of world's primitive hills range using time-series MODIS data products. Ecological Informatics, 69, 101650.
Raj, A., & Sharma, L. K. (2022). Assessment of land-use dynamics of the Aravalli range (India) using integrated geospatial and CART approach. Earth Science Informatics, 15(1), 497-522.