Lab News
04. 22. 2025 | To better understand the history of land use changes in the Dinghushan Nature Reserve, members of the Carbon Cycle Lab visited Qingyun Temple to explore historical imprints. The monsoon evergreen broadleaf forest of Dinghushan has undergone natural succession for ~400 years, and the temple has played a key role in the historical conservation of the forest ecosystem.
04. 08. 2025 | Prof. Donghai Wu attended the ChinaFLUX 2025 Annual Academic Conference at the Institute of Geographic Sciences and Natural Resources Research (IGSNRR), CAS.
04. 11. 2025 | Together with Prof. Zhanfeng Liu (SCBG, CAS), Prof. Jun Wang (SCBG, CAS), Prof. Xiaojuan Liu (IB, CAS), and Prof. Bernhard Schmid (University of Zurich), Prof. Donghai Wu visited the Xiaoliang BEF (Biodiversity and Ecosystem Function) experimental platform. The Carbon Cycle Lab, building on the BEF research platform, has decided to utilize multi-sensor drones to study the dynamics of forest function and structure.
03. 27. 2025 | Prof. Xiaolin Zhu from The Hong Kong Polytechnic University visited the Carbon Cycle Lab and gave an inspiring talk on remote sensing-based vegetation monitoring in cloudy and rainy regions (华南华南生态环境论坛第37期，多云雨地区植被遥感监测).
01. 24. 2025 | To celebrate the upcoming Year of the Snake in the Chinese Lunar New Year, members of the Carbon Cycle Lab came together to write Spring Festival couplets, expressing their best wishes for the future.
01. 20. 2025 | Prof. Donghai Wu attended the strategic planning meeting for CERN's next decade (2025-2035) at the Institute of Geographic Sciences and Natural Resources Research (IGSNRR), CAS.
01. 19. 2025 | Prof. Donghai Wu attended the thematic workshop on "Applications of Artificial Intelligence and Information Technology in CERN Field Stations" at the Institute of Geographic Sciences and Natural Resources Research (IGSNRR), CAS. He gave a presentation titled "Informatization Development and Long-Term Monitoring Data Mining at the Dinghushan Station." The advent of the era of artificial intelligence has brought new opportunities for the development of ecology. This workshop will further guide the advancement and transformation of the ecological sciences with the support of AI technologies.