A recent study led by Prof. CHEN Yaning from the Xinjiang Institute of Ecology and Geography (XIEG) of the Chinese Academy of Sciences has released the Tianshan Watershed Streamflow (TSWS) dataset (1901-2019). The dataset compiles daily streamflow data for 56 watersheds and monthly data for 89 watersheds in the Tianshan Mountains.
A recent study led by Prof. TAO Hui from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences has revealed that natural environmental factors are the predominant drivers of desertification across Central Asia.
A research team led by Prof. LI Xiaofeng from the Institute of Oceanology of the Chinese Academy of Sciences has developed a new AI model called SICNetseason for seasonal-scale predictions.
A new study has revealed that extreme drought conditions are altering the stability of grassland productivity by shifting underlying ecological mechanisms. Researchers from the Institute of Applied Ecology indicated that prolonged and intense dry periods can diminish the role of dominant grass species in maintaining consistent plant growth, potentially affecting the long-term health and functioning of grasslands globally.
A new study led by the Institute of Applied Ecology (IAE) of the Chinese Academy of Sciences reveals that vegetation growth in northern Arctic permafrost regions is significantly influenced by snow cover loss—independent of rising temperatures.
Scientists from the Institute of Applied Ecology of the Chinese Academy of Sciences have developed an automated monitoring system to continuously track methane absorption by forest soils. A four-year study at a temperate forest site revealed a strong correlation between soil temperature, moisture, and methane uptake rates, enhancing understanding of methane oxidation dynamics.
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