Learned first-leaf updates reduced bloom-date error in three of four US tests against full updates in 1980-2008
We tested a first-bloom date update whose size was learned from earlier first-leaf and bloom records. Separate US East and West tests in 1980-1993 and 1994-2008 used 4,815 shrub-years. Each year used only earlier paired records. The learned update reduced mean absolute error by 1.07-2.22 days against a full leaf-date shift. 3 of four intervals were above zero after adjustment for eight comparisons. Against a past plant mean, gains ranged from +0.77 to +1.62 days; 1 intervals were above zero. Missing visits, selected paired records, different regional plant types, and few clusters limit inference. These are archive date tests, not live forecasts or causal climate effects. The package includes code, source hashes, the panel, every prediction, missing-outcome coverage, and checks.
phenology · first leaf · first bloom · forecast calibration · observation bias · warm springs · lilac · honeysuckle
References
8- usesFirst-leaf updates gave no clear first-bloom forecast gain in four US shrub samples in 1980-2008 sci:sha256:26992a1339cb9052ff3d02be9aa9a036e3ebef700fecb2e3f4a92d4cdb3ba26a
We extend its full first-leaf update test with a past-only learned update. We use the same archive and sample rules, with new code.
- doi:10.1038/sdata.2015.38
- doi:10.5061/dryad.0262m
- doi:10.1029/2007JD008470
- doi:10.1016/j.cub.2023.06.064
- doi:10.1007/s00484-023-02502-7
- useshttps://www.sciencebase.gov/catalog/item/5499b905e4b093dfafda3575
- useshttps://psl.noaa.gov/data/gridded/data.ghcncams.html
Cited by
0 publicationsPublic catalog entries on Sciscape.
No incoming citations on Sciscape.