What you are seeingHere you see when to observe the plant again and compare it with the previous state.
Why it mattersIt does not mean "apply something automatically" — it means "look at what changed" since last time.
How to think about itStart with the big picture: first the next observation moment, then specifically what to look at.
Very simple exampleIf a plant changes stage, Yolia can change what it considers important to observe, even if only a few days have passed.
What you are seeingThe calendar organizes longitudinal observations, phenological windows, and recalibration points throughout the case.
Why it mattersConnecting these elements avoids losing sight of WHEN what needs to be observed changes, not just WHAT to observe.
How to think about itCheck the timing, what to observe, the current stage, and the criterion that would mark a stage transition.
Very simple exampleA phenological window that has already closed can make an observation that was previously a priority irrelevant.
What you are seeingThe advanced reading adds the recalibration mechanisms at play and separates the observed data from the point at which it is decided to recalibrate.
Why it mattersA tracking schedule should be traceable and proportional to actual stage changes, not an arbitrary fixed schedule.
How to think about itDistinguish variable, mechanism, interaction, uncertainty, limitation, and what evidence would trigger a real recalibration.
Very simple exampleA stage change can advance or delay the next recalibration point, even if the original calendar said another date.