Next Event
Constructing Collaborations: An LTER Science Charrette - May 6, 2026 - 9:00 am-10:00 am -
1) Driver-response relationships under novel environmental conditions and new ecosystem states: Identify consistent driver-response relationships across sites and develop hypotheses based on shared mechanistic understanding of how sites may respond to novel environmental conditions.
2) Motivating research framework: Develop a research framework that can motivate new research questions by incorporating mechanistic understanding of the conditions that shape ecosystem processes yet allowing for surprises such as new organisms (e,g, new species), disturbances, evolution, or climatic extremes that change the “rules of the game.”
3) The path forward with AI. Probe how AI and knowledge-guided machine learning could be used to accelerate synthesis, including testing and assessing the use of AI to construct synthesis datasets. Explore the potential for using existing LTER data for training domain-specific AI models.
4) Science to Management. Many LTER sites address important resource management questions in their specific systems and there are also common threads across sites, such as: intercalibration and standardization; restoration approaches; testing new techniques; targeting efforts and establishing scales of variability; developing new detection and monitoring technology.
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