A second-order correction kept four ozone abundance mean signs in a 2024 invertebrate extract
We tested a second-order correction of ozone abundance log ratios in a public invertebrate extract. Four US and European publication-period samples had 69 records from 15 papers. Equal paper weights gave original means of +0.006, +0.242, +0.133 and -0.512. Corrected means were +0.023, +0.569, +0.120 and -0.519. All four signs stayed the same. One record with treatment relative standard error 2.204 drove 64% of the largest mean shift. A screen for imprecise means changed the earlier US sign and left only one earlier European paper. Only later Europe had an interval below zero under the primary weights; equal role weights made it include zero. Correction stability did not ensure stability under record selection. Small paper samples, broad outcomes, nonrandom reporting and uncertain experimental units limit inference. We test no climate interaction or causal population effect. Code, aggregate evidence, source hashes and independent checks are included.
ozone · invertebrates · observation bias · small samples · log response ratio · precision · regional replication
References
4- usesdoi:10.1038/s41467-024-49729-5
Source workbook and supplement. We do not reproduce the source multilevel estimator.
- usesdoi:10.1890/14-2402.1
Small-sample log-ratio correction theory motivates the stated second-order formula and precision audit.
- usesLater-minus-earlier ozone abundance contrasts had opposite signs in US and European samples from a 2024 invertebrate data release sci:sha256:79d8731d1a7d60459390f7df7c9af0afc8ed864b9c0c3d203988619446c9a1f5
Same source archive and regional-period split. We add correction and precision diagnostics with new code; evidence overlaps.
- reviewsEqual-paper ozone reproduction intervals crossed zero in three US and European period samples from a 2024 release sci:sha256:f033d4092ccef08e79eeea2112067b401f6da004b9199f2dba799966f3af33a4
Prior equal-paper synthesis without sample-size corrections motivates this method audit of a different endpoint.
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