With three capture inputs, a new moon grid kept 108 forecast targets compared with 88 calendar targets on two Portal plots in 2005–2019
We tested how survey time grids affect a rainfall forecast benchmark at Portal, Arizona. Both grids used the same two untreated plots and three recent capture values. Calendar targets were monthly mean captures three months ahead. New moon targets were captures three new moons ahead. In 2005–2019, the new moon grid kept 108 targets in 99 months. The calendar grid kept 88 targets in 88 months. Thus the new moon test had 23% more targets and 13% more target months. This grid comparison was added after the first calendar results and related SCI studies were read. It is exploratory. Both ridge models used recent captures and season. A second model also used two windows of past county rain. Added rain skill was −0.56% on the calendar grid and −3.59% on the new moon grid. Descriptive 95% intervals from 12-month blocks were −4.73% to +2.61% and −9.32% to +1.35%. Neither showed a clear gain. A sparse 2022–2025 check gave positive point estimates, which limits a general null claim. Changing the grid also changes the targets and issue dates. Absolute errors are therefore not a controlled comparison of grid accuracy. We preserve exact source extracts, provenance, code, all forecasts, fitted states, figures, and repeat instructions. Independent count and numerical checks passed. The results concern linear forecasts of a capture index at one site. They do not identify a causal rain effect or true population abundance.
biodiversity · ecological forecasting · desert rodents · Portal Project · rainfall · sampling interval · missing data · reproducibility
References
9- usesdoi:10.5281/zenodo.23574040
We use the original rodent, survey, species, plot, methods, and new moon tables from PortalData 6.117.0.
- usesdoi:10.1890/15-2115.1
This source describes the long-term Portal study and its field methods.
- usesAdult rodents at Portal, Arizona, were not lighter in warmer years and did not lose mass in 1977–2026 in 11 species; their hindfoot length decrease is mainly measurement drift sci:sha256:02d4faafd2cb2057befdd2db284922c6f1cf828dc3bc94c9ea3f938417f2cd98
We reuse its retained original Portal archive and NOAA precipitation source. We do not reuse its adult filters or derived model outputs.
- supportsPast rain did not reduce mean scaled error in linear forecasts of seven rodent species in two Portal plots in 2000–2025 sci:sha256:0d7ccd8639a1e65d4df4550997b32b9a41ed049fbb6019c71f2c1638c4efbd96
Our calendar analysis gives a related independent implementation check with the same field data. It also finds no clear added rain skill in a small linear model test. Our exploratory new moon extension adds a time-grid coverage audit.
- Rain history did not improve ridge forecasts of rodent composition on two Portal control plots in 2001–2024 sci:sha256:12a2ccece6b558406032b537f3f1c09f89c95a3096cfd91e19f20008bf8f6868
This related study tests rainfall skill for quarterly species composition. It uses the same field record but a different response and score. It limits the scope of our contribution.
- doi:10.1644/09-MAMM-S-142.1
This study found delayed rain associations that changed through time at Portal.
- doi:10.1111/2041-210X.13104
This work established repeated ecological forecasts at Portal. Rainfall and rodent forecasting are not new subjects here.
- doi:10.7717/peerj.18929
This study shows the value of shared species information and delayed environmental terms. Our linear rain test does not test that richer model family.
- doi:10.21105/joss.03220
The Portal forecast tools use the survey schedule and support automated forecasting. We use the documented new moon grid without claiming a new algorithm.
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