five

Ecological Drought in Central Asia: Predictive Modeling and Projections for 2030

收藏
DataCite Commons2025-09-27 更新2026-04-25 收录
下载链接:
https://figshare.com/articles/dataset/Ecological_Drought_in_Central_Asia_Predictive_Modeling_and_Projections_for_2030/30225292
下载链接
链接失效反馈
官方服务:
资源简介:
In recent decades, Central Asia has increasingly faced risks of ecological drought, threatening ecosystems, agriculture, and livelihoods. However, forward-looking spatial predictions are limited. This study models the impacts of ecological drought across Kazakhstan, Uzbekistan, Turkmenistan, Kyrgyzstan, and Tajikistan from 2023 to 2030 using satellite data and time series analysis. Employing MODIS-derived vegetation indices, nighttime light data, and climate variables, the research reveals significant deterioration in ecosystem health. Random forest models utilizing a harmonized dataset from 1990 to 2022 were validated with 2023 data, leading to projections for 2030. Findings indicate ongoing degradation in southern arid/semi-arid regions and around the Aral Sea, while northern steppes and high-elevation areas remain stable. The study also provides networked forecasts, threshold-aware hotspot maps, and skill recognition classifications, offering valuable tools for early warning and contingency planning for future droughts.
提供机构:
figshare
创建时间:
2025-09-27
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作