P42Analysis of Climate Change Impacts on Vegetation Growth in the Aral Sea Basin: a case study inUzbekistan〇Xue HU, Kenji TANAKA

1. Introduction
In recent years, the Aral Sea region has become known for its uneven spatial distribution of water resources in thebasin. At the same time, climate change has also had an extremely significant impact on surface vegetation cover.
Changes in land cover characteristics will have a corresponding feedback effect on the climate and climate system inthe Aral Sea region. The Aral Sea region is facing serious environmental and water resource problems, so it isnecessary to study the local climate change and its impact on the regional hydrological system. This study chooses
Uzbekistan in the Aral Sea region as the main research area. By analyzing the changes of the normalized difference
vegetation index (NDVI) and climate factors of non-artificial irrigated land and irrigated land in Uzbekistan in recent
decades, the relationship between vegetation and climate factors was found. Sensitive regions to climate change
responses were identified after excluding the influence of human activities. Temperature and precipitation are key
climate factors affecting plant growth and development. Climate change will inhibit the increase of vegetation
coverage and even lead to vegetation degradation in some areas. Vegetation has obvious interannual and seasonalvariation characteristics. It is a sensitive indicator of the impact of climate on the environment, the most vivid
reflection and symbol of ecological environment changes, and can represent land cover changes to a certain extent.
Therefore, the dynamic change of vegetation can reflect the trend of climate change to a certain extent. Remote sensing
dynamic monitoring of vegetation status and the interaction process between surface vegetation and the atmosphere arealso research hotspots in the field of earth science in recent years. These findings help us better understand therelationship between vegetation dynamics and climate in the Aral Sea region, and provide decision-making basis forenvironmental protection and sustainable development.

Fig. 1

2. Method

Location of the study area.

NDVI data is NOAA Climate Data Record (CDR) of AVHRR NDVI, and pixel size is 0.05 degree. The pixel size ofSPEI data is 0.5 degree
The purpose is to count and visualize the anomalies of pixels with NDVI values exceeding a specified threshold per
day in Uzbekistan, and to display the number of anomalies for different pixels by color.
3. Results and Conclusions
The NDVI in natural vegetation area is sensitive to the influence of climate factors.
This study enables the integration of statistics, remote sensing, and existing irrigation products into a hybrid
irrigation dataset to produce reliable maps of irrigated farmland in Uzbekistan.
The method used in this study can save labor costs and statistical time, provide a more timely and reliable method toestimate the spatial distribution and extent of irrigated farmland in Uzbekistan, and provide better data support for theevaluation and management of irrigated farmland.
In terms of water resources management and the sustainable development of local agriculture, the cultivation ofcotton, rice and corn requires large amounts of water for irrigation. In some growing areas where climate conditions
are not suitable, plants that require less water can be replanted, such as wheat.