IMPROVING LANDSCAPE-BASED LAND MANAGEMENT FOR RAINFED IRRIGATION USING NATURAL PRECIPITATION: A CASE STUDY OF NAVOI REGION, UZBEKISTAN
DOI:
https://doi.org/10.55640/Keywords:
Rainfed agriculture; SAVI; precipitation; landscape-based land management; remote sensing; Navoi region; UzbekistanAbstract
In arid and semi-arid regions, efficient utilization of natural precipitation is a key factor for sustainable agricultural development. This study aims to improve a landscape-based land management framework for rainfed irrigation using remote sensing data in the Navoi region of Uzbekistan, focusing on the Tomdi, Uchquduq, Nurota, and Konimex districts. Monthly precipitation data from the CHIRPS dataset and vegetation dynamics derived from Landsat-based SAVI were analyzed for the vegetation period. The relationship between precipitation and SAVI was examined using correlation and linear regression analysis to assess the sensitivity of vegetation response to rainfall variability. The results demonstrate a spatially and temporally heterogeneous relationship between precipitation and vegetation activity across the studied districts. In Nurota and Konimex, a stronger positive correlation indicates higher dependence of vegetation growth on natural rainfall, while in Tomdi and Uchquduq the relationship is weaker due to extremely arid conditions and limited soil moisture retention capacity. These findings suggest that landscape characteristics such as soil texture, topography, and natural water accumulation zones play a crucial role in regulating the effectiveness of rainfed agriculture. Based on the results obtained, recommendations are proposed for integrating precipitation-based irrigation planning into landscape-oriented land management schemes. The proposed approach supports adaptive land-use planning, improves water use efficiency, and contributes to the sustainable development of rainfed agricultural systems in arid environments.
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