Biochemical memory in plants: A missing component in climate resilience models

Area of Science:

• Plant Physiology
• Ecology
• Climate Modeling

Background:

• Plants do not fully recover to a baseline state after stress events.
• Physiological and biochemical changes can persist, influencing future responses.
• Current vegetation models often overlook these persistent effects.

Purpose of the Study:

• To explain the concept of biochemical memory in plants.
• To highlight its influence on plant behavior and ecosystem processes.
• To advocate for its inclusion in climate and vegetation models.

Main Methods:

• Conceptual review and synthesis of existing research.
• Discussion of mechanisms underlying biochemical memory (osmolytes, redox, metabolites, hormones).
• Analysis of the implications for plant resilience and ecosystem modeling.

Main Results:

• Biochemical memory involves persistent shifts in plant physiology and metabolism.
• These legacies affect responses to subsequent environmental challenges like drought and heat.
• Models lacking memory representation provide incomplete predictions of vegetation dynamics.

Conclusions:

• Recognizing plant biochemical memory is essential for accurate ecological forecasting.
• Integrating physiological legacies into models will improve predictions under climate change.
• This approach is crucial for understanding ecosystem resilience and carbon-water dynamics.