Ecosystem models remain limited by how they represent key ecosystem processes and their responses to climate change and extremes. Challenges include capturing vegetation demography and trait diversity, acclimation and adaptation, stress responses and disturbances, carbon allocation within plants and ecosystems, and coupled biogeochemical cycles. Biases related to uncertainties in process representation limit our ability to predict ecosystem dynamics, feedbacks, and atmospheric impacts under global change. This session aims to bring together scientists actively engaged in land ecosystem modelling and model development to share recent advancements in process representations and model evaluation.
We invite abstracts that address one of the following themes:
(1) Advances in representing responses of land ecosystem processes to climate variability, extremes or disturbances;
(2) Advances in accounting for species interactions, trait acclimation and adaptation, and vegetation demography and dynamics;
(3) Methods for improving the representation of biogeochemical processes and interactions in different ecosystems;
(4) site, regional and global studies taking advantage of in-situ measurements, Earth observing systems or laboratory experiments, improving ecosystem model processes.

Session Format
The session will include oral presentations and poster sessions to facilitate knowledge exchange and collaboration among participants.
We, as conveners, are a diverse group of scientists from five different universities who work with various ecosystem models. We hope to use this session to discuss model improvements and share knowledge between different models.