V32: Drought Autopsy

Status: Complete. 50 seeds x 30 cycles x 5 droughts each (250 total drought events).

Question: What happens DURING drought that determines whether a seed develops high $\intinfo$? V31 showed post-drought bounce predicts final $\intinfo$, but what creates the bounce?

Result: Integration is trajectory, not event. Mean $\intinfo = 0.086 \pm 0.032$ (95% CI [0.077, 0.095]). Distribution: 22% HIGH / 46% MODERATE / 32% LOW. Max $\intinfo = 0.473$ (seed 23, new all-time record). Mean drought mortality 96.8%.

Key revision from V31: The first drought bounce does NOT predict final category ($r = -0.075, p = 0.60$). What predicts is the mean bounce across all 5 droughts ($\rho = 0.599, p = 4.4 \times 10^{-6}$). Integration is built by repeatedly bouncing back, not by a single event. $\intinfo$ trajectory slope separates categories perfectly (ANOVA $F = 34.38, p = 6.3 \times 10^{-10}$): every HIGH seed has positive slope, every LOW seed has negative slope.

Robustness is orthogonal to integration (Mann-Whitney $p = 0.73$). Seeds that survive droughts well are not the same seeds that develop high $\intinfo$. Effective rank (mean 8.1) does not differ across categories.