Research News
Stronger Protection Significantly Enhances Forest Carbon Storage in China’s Protected Areas
Stronger Protection Significantly Enhances Forest Carbon Storage in China’s Protected Areas

Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), in collaboration with the International Research Center of Big Data for Sustainable Development Goals and Aarhus University in Denmark, published a study in Nature Communications on 10 February, 2026. By integrating spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidar observations with simulations from the dynamic vegetation model LPJ-GUESS, the team conducted the first nationwide assessment of the contributions of different categories of protected areas to aboveground forest carbon density. The study further projected future carbon gain potential under different climate scenarios and varying protection intensities.

Paper 12 Feb 2026
Satellite Analysis Uncovers Global Threats to World Heritage Sites
Satellite Analysis Uncovers Global Threats to World Heritage Sites

A joint research team led by the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has conducted the first global, integrated assessment of disaster risks and human pressures affecting UNESCO World Heritage sites. The study found that 41% of these sites worldwide are exposed to significant natural hazards. Furthermore, it provides a systematic evaluation of global progress toward UN Sustainable Development Goal (SDG) 11.4, which aims to strengthen the protection of cultural and natural heritage.

Paper 09 Feb 2026
High-Resolution Daily CO₂ Dataset Illuminates Spatiotemporal Dynamics in China
High-Resolution Daily CO₂ Dataset Illuminates Spatiotemporal Dynamics in China

Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), in collaboration with Chongqing University of Posts and Telecommunications, have developed a high-resolution, daily atmospheric CO₂ dataset for China spanning 2016–2020. The dataset provides unprecedented insights into the spatiotemporal variations of column-averaged dry-air CO₂ mole fraction (XCO₂) and offers a robust data foundation for refined carbon monitoring and management.

Paper 09 Feb 2026
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