Land suitability and human adaptation: River Siang from Sangam to Pongging, Arunachal Pradesh, India

Land suitability in mountainous regions profoundly influences human adaptation strategies, particularly in environments shaped by morphometric characteristics. This study focuses on the Siang river valley from Sangam to Pongging, Arunachal Pradesh, India, employing Land Suitability Analysis (LSA) to assess terrain viability for settlement, and orchard cultivation. Key determinants such as topographic features, drainage morphometry, and infrastructural accessibility were analyzed to develop thematic maps delineating optimal zones for different land uses. The research underscores how geomorphic attributes and accessibility influence settlement patterns and orchard suitability, with lower elevations proving favorable for settlements and orchards due to accessible topography and climatic conditions. By integrating spatial analysis techniques and assessing variables like elevation, slope, and proximity to infrastructure by euclidian distance and pareto principle (80/20 rule), this research provides a comprehensive framework for informed land use planning. Strategic planning recommendations emphasize sustainable practices and community engagement to balance development needs with environmental preservation in Arunachal Pradesh's rugged terrain. It advocates for collaborative efforts between stakeholders to optimize land utilization and foster resilient development amidst challenging environmental conditions. This initial attempt aims to raise awareness among land users, planners, research workers, and administrators to ensure proper and effective land management.

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Publication Details

Journal
World Development Sustainability
Published
2024-08-23
DOI
https://doi.org/10.1016/j.wds.2024.100179
Citations
2
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.41
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article

Land suitability and human adaptation: River Siang from Sangam to Pongging, Arunachal Pradesh, India

C. Das, Chandra Kumar Dutta, Ankulin Duwarah, Prerana Boruah et al.
2 citations
World Development Sustainability
Groundwater and Watershed Analysis
0.41
article

Land suitability and human adaptation: River Siang from Sangam to Pongging, Arunachal Pradesh, India

C. Das, Chandra Kumar Dutta, Ankulin Duwarah, Prerana Boruah, Anandita Das, Anamika Borah
article en
2 citations

Abstract

Land suitability in mountainous regions profoundly influences human adaptation strategies, particularly in environments shaped by morphometric characteristics. This study focuses on the Siang river valley from Sangam to Pongging, Arunachal Pradesh, India, employing Land Suitability Analysis (LSA) to assess terrain viability for settlement, and orchard cultivation. Key determinants such as topographic features, drainage morphometry, and infrastructural accessibility were analyzed to develop thematic maps delineating optimal zones for different land uses. The research underscores how geomorphic attributes and accessibility influence settlement patterns and orchard suitability, with lower elevations proving favorable for settlements and orchards due to accessible topography and climatic conditions. By integrating spatial analysis techniques and assessing variables like elevation, slope, and proximity to infrastructure by euclidian distance and pareto principle (80/20 rule), this research provides a comprehensive framework for informed land use planning. Strategic planning recommendations emphasize sustainable practices and community engagement to balance development needs with environmental preservation in Arunachal Pradesh's rugged terrain. It advocates for collaborative efforts between stakeholders to optimize land utilization and foster resilient development amidst challenging environmental conditions. This initial attempt aims to raise awareness among land users, planners, research workers, and administrators to ensure proper and effective land management.

World Development SustainabilityVol. 5
Dibrugarh University (IN)
Openalex Percentile: Top 42%
Groundwater and Watershed Analysis
0.41
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