Global warming
Research conducted by scientists at the Chinese Academy of Sciences has revealed that continental rock weathering plays a crucial role in removing atmospheric CO2, thereby exerting a negative feedback on global warming. The study, focusing on the Chinese Loess Plateau (CLP), found that carbonate weathering is a significant component of
Global warming
Research conducted by the Chinese Academy of Sciences used Google Earth Engine and the Carnegie-Ames-Stanford Approach model to evaluate the biomass carbon storage in 40 cities with large-scale forestation projects. The study found that urban forests in tropical zones had the highest biomass carbon storage, with an annual accumulation of
Global warming
Research on the Qilian Mountains (QLMs) in China has revealed that vegetation trends in the region are influenced by complex topography, climate variability, and human activities. A study published in Environmental Development reported that since 2001, vegetation in the QLMs exhibited an overall improving trend, with localized degradation mainly located
Global warming
A new research study from the Chinese Academy of Sciences has shed light on the driving forces behind the Oligocene era's long-term decrease in atmospheric CO2 levels. The study, funded by the National Natural Science Foundation of China and the Chinese Academy of Sciences, among others, has revealed
Global warming
As the global climate undergoes unprecedented changes, threatening species persistence, new research reveals the significant impact of climate change on the genetic diversity of Asian walnuts. A team of scientists from the Chinese Academy of Sciences conducted a comprehensive study, evaluating the genetic diversity patterns and demographic history of walnuts
Machine learning
Researchers at the Chinese Academy of Sciences in Chengdu, People's Republic of China, have conducted a comprehensive review of the latest advancements in applying machine learning to non-targeted analysis. This research has been peer-reviewed and aims to provide practical guidance on the selection and optimization of machine learning
Machine learning
Researchers at the Chinese Academy of Sciences have conducted a comprehensive study on the decadal changes in water transparency of lakes in the middle and lower reaches of the Yangtze River. The study aimed to assess the efficacy of ecological restoration measures implemented by the Chinese government to improve water
Machine learning
Research from the Chinese Academy of Sciences, in collaboration with Xinjiang Uygur Autonomous Region and other institutions, has made significant strides in addressing environmental pollution and climate change through innovative agricultural waste management practices. By utilizing hybrid statistical and machine learning models to optimize the hydrothermal carbonization (HTC) process, researchers
Machine learning
A groundbreaking study published in the Journal of Archaeological Science has shed light on the vibrant exchange of amber between ancient civilizations in China, Southeast Asia, Southern Asia, and Central Asia during the Han dynasty. Researchers from the Chinese Academy of Sciences employed machine learning techniques to analyze 78 amber
Machine learning
Exosuit adaptation, a crucial aspect of human-machine interaction, has been investigated in a recent study by Chinese researchers. The findings highlight the importance of bi-directional adaptation, where both the exosuit and the wearer adapt to each other's needs. The study reveals that precise gait phase prediction and dynamic
Global warming
A new study on climate change has provided insights into the profound changes terrestrial ecosystems have experienced due to the combined influence of climate change and human activities in China. The research, supported by the National Natural Science Foundation of China and other organizations, aimed to understand the contributions of
Global warming
Researchers at the Chinese Academy of Sciences have found that biochar amendments in soil can significantly reduce greenhouse gas emissions while increasing crop yields. The study, conducted in a field experiment, demonstrated that biochar-amended fields reduced nitrogen oxide emissions by 63.1% and methane uptake by 320.7% compared to
