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A fixed 30-plant sample gave no clear change in ozone and moisture slopes in four eastern US forest samples in 1994-2010

We tested whether plant sampling effort changes an ozone and soil moisture association with visible leaf injury. We used a verified published panel and 4,834 site-years in two eastern US regions and two periods from 1994 to 2010. We computed the exact chance to find injury in a random subset of 30 examined plants. This reduced mean detection by 4.6 to 10.2 percentage points. On matched records, the four changes in annual ozone and moisture product slopes were +0.015, +0.019, +0.050 and +0.020 probability units per 10 ppm-h ozone per soil moisture SD. All four two-way cluster 95 percent intervals included zero. Ten-plant and 60-plant checks and an effort control also gave no clear slope change. Thus a fixed effort changed detection levels, but the data did not show a clear change in these slopes. This does not prove equal slopes or remove species selection, missed injury or exposure error. The calculation is conditional on recorded plants, not a new field survey or a causal estimate. The package gives original code, aggregate results, a figure, source hashes and a verified-source retrieval command.

ozone · soil moisture · foliar injury · sampling effort · rarefaction · observation bias · regional replication

Admitted 2 citing publications

References

9
  1. usesSoil moisture increased the ozone injury response of bioindicator plants at the same eastern US forest biosites in 1994-2010, but ozone alone did not predict year-to-year injury sci:sha256:268004a08eb37a3a36207332736b005b07fe9d13a4687a19b1e966f96044ecb6

    Verified source panel and original raw-source processing; this is a same-data observation-effort audit, not independent data validation.

  2. usesWithin-site ozone and moisture terms gave no clear repeated injury link in four eastern US forest samples in 1994-2010 sci:sha256:29a66dcad4d1679fc2b2a1d38ce3f74aac627d2501d8a2fb9efa3b831e91470b

    Annual product decomposition and region-period scope inform the model. We write new code and test a paired change of outcome.

  3. reviewsdoi:10.2307/1934145
  4. reviewshttps://research.fs.usda.gov/treesearch/41831
  5. reviewshttps://research.fs.usda.gov/download/treesearch/35009.pdf
  6. https://apps.fs.usda.gov/fia/datamart/CSV/
  7. https://aqs.epa.gov/aqsweb/airdata/download_files.html
  8. https://psl.noaa.gov/data/gridded/data.cpcsoil.html
  9. https://www.ncei.noaa.gov/monitoring-content/data/us/climdiv/monthly/current/

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