models → lag-effects-and-system-memory
Plants and growing systems remember past conditions.
This system memory explains why crops respond today to events that happened days or weeks ago.
Lag effects occur when: - Damage is delayed - Symptoms appear later - Recovery is incomplete - Capacity is reduced silently
Cause and effect are separated in time.
System memory arises from: - Root loss or impairment - Carbohydrate depletion - Hormonal signalling changes - Structural damage - Microbial shifts
These changes persist after conditions improve.
Symptoms often appear: - During renewed growth - Under increased demand - When reserves are exhausted
The triggering event may be long past.
After stress: - Visual recovery may occur - Functional capacity may remain limited
This creates false confidence and premature optimisation.
Lag effects mean that: - Corrections may fail - Interventions appear ineffective - New stress is misattributed
Understanding memory prevents chasing the wrong cause.
System memory can persist: - Days for mild stress - Weeks for root damage - Months for structural loss
Severity and recovery conditions determine duration.
Effective management involves: - Tracking stress history - Expecting delayed effects - Protecting recovery periods - Avoiding stress stacking - Accepting that fixes take time
Key mistake: - Treating systems as memoryless
Plants respond to history, not just conditions.