Abstracts are open for the 22nd annual meeting of the Asian Oceania Geosciences Society (AOGS), which will be taking place during 27 July – 1 August 2025 at Marine Bay Sands, Singapore.
We are currently inviting abstracts for the session “Session BG11: Advances in Understanding Impacts of Land Use and Land Cover Change Using Earth System Records and Models” for oral and poster presentations. We encourage contributions that focus on, but are not limited to, quantifying the effects of LULCC on water, energy, carbon, and nutrient cycling; the water-food-energy nexus; land-atmosphere interactions; and regional and global climate impacts using Earth system records, models, and AI-based emulators. A detailed session description is provided below.
The last date for abstract submission is 18th February 2025. Abstract must be submitted through the MARS online platform.
Please circulate this information to others who may be interested. We look forward to seeing you at AOGS in July.
On behalf of the session convenors,
Yanyan Cheng (CCRS, Singapore), Fei Chen (HK UST, Hong Kong), Anjana Devanand (CSIRO, Australia), Siyuan Tian (BoM, Australia), Kun Yang (Tsinghua University, China)
Advances in Understanding Impacts of Land Use and Land Cover Change Using Earth System Records and Models
Earth system models (ESMs) are effective tools for assessing the impacts of land use and land cover change (LULCC) in a changing climate by incorporating a broad range of relevant processes, such as transitions between natural and managed land use types, urbanization, land and water management practices, demographic vegetation, and ecosystem dynamics following disturbances. While ESMs have paved the way toward elucidating the role of LULCC in modulating biogeophysical and biogeochemical feedbacks within the Earth system, they still require improvement through integration with observations and data-assimilated Earth system records. We invite contributions that focus on, but are not limited to, quantifying the effects of LULCC on water, energy, carbon, and nutrient cycling; the water-food-energy nexus; land-atmosphere interactions; and regional and global climate impacts using Earth system records, models, and AI-based emulators. Studies that improve the representation of nature-based climate solutions, assess the impacts of various nature-based climate solutions, develop Earth system records and projections (e.g., the Land Use Model Intercomparison Project), conduct high-resolution modeling of individual processes, and create validation and verification tools for ESMs are strongly encouraged. Additionally, coupling frameworks that advance scientific understanding and enhance the fidelity of ESMs and their AI-based counterparts are welcome.