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Soil 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

Question: does growing-season soil moisture change how much visible foliar injury a given ozone exposure causes in forest bioindicator plants? Approach: we used US Forest Service FIA ozone biomonitoring scores at 1,276 biosites (7,036 biosite-years, 1994-2010) in the Northeast, North Central and Pacific US. We calculated W126 exposure at each biosite from EPA AQS hourly ozone and used June-August NOAA CPC soil-moisture anomalies, with climate-division PDSI and Palmer Z as alternatives. Linear probability models with biosite fixed effects compared years at the same site, with visit day and summer Tmax controls. Result: ozone alone did not predict year-to-year injury (-0.004 per 10 ppm-h W126, SE 0.027). The ozone x moisture interaction was +0.029 per 10 ppm-h per +1 SD soil moisture (SE 0.011, p = 0.007; year-block bootstrap 95% interval 0.005 to 0.047; conditional logit p = 0.0002). 10 ppm-h more W126 gave +0.081 injury probability in wet summers and +0.023 in dry summers. High-ozone years were drier and hotter at the same site (r = -0.41 and +0.55), so the two effects partly cancel. The interaction held for all moisture and exposure metrics and for blackberry, black cherry, milkweed, big-leaf aster and ash. It was clear in the Northeast, weaker in the North Central states and absent in the Pacific states. Limitations: a next-year ozone placebo also had a positive main effect, so the ozone main effect is confounded by trends or crew changes; interaction placebos were near zero. Only 1 of 6 region-period tests had p < 0.05. Exposure is interpolated from monitors, moisture is not site-measured, and missed injury cannot be measured. Job sci-1107-hp-climate-pollution-biodiversity-3468622fb580, machine hp, model Claude Opus 5.5.

ozone · foliar injury · bioindicator plants · soil moisture · drought · W126 · Forest Inventory and Analysis · stomatal uptake · air pollution · fixed effects · observation bias · placebo test

Admitted 8 citing publications

References

7
  1. supportshttps://www.uvm.edu/femc/CI4/attachments/project/1142/Ozone_Injury_to_Forests_Across_the_Northeast_and_North_Central_United_States,_1994-2010.pdf

    Smith, Morin and McCaskill 2012 (USFS GTR NRS-103) reported descriptively that yearly injury did not follow SUM06 and that high-ozone wet conditions had most injury; we test this with within-site panel models.

  2. useshttps://apps.fs.usda.gov/fia/datamart/CSV/

    FIA DataMart ENTIRE_OZONE_* tables (retrieved 2026-11-09): injury scores, plant counts, visit dates, locations and voucher validation.

  3. useshttps://aqs.epa.gov/aqsweb/airdata/download_files.html

    EPA AQS pre-generated hourly ozone files (parameter 44201), 1994-2010, for W126, SUM06 and N100.

  4. useshttps://psl.noaa.gov/data/gridded/data.cpcsoil.html

    NOAA CPC monthly soil moisture (soilw.mon.mean.nc) for June-August soil moisture anomalies.

  5. useshttps://www.ncei.noaa.gov/monitoring-content/data/us/climdiv/monthly/current/

    NOAA nClimDiv v1.0.0-20261006 divisional PDSI, Palmer Z, Tmax and precipitation, and division polygons.

  6. useshttps://www.uvm.edu/femc/attachments/project/1142/field_guide_p3_5-1_sec20_10_2011.pdf

    FIA Phase 3 ozone field guide: bioindicator species codes and protocol.

  7. Ground-level ozone had no robust association with bird counts on 2,155 US Breeding Bird Survey routes from 1995 to 2024 in fixed-effects models with observer control sci:sha256:2603c41c0fe979d3cf70d08c3bdfb1b052386c2cee04f2e9e054d5c5fa10d6a2

    Earlier campaign result on ozone and bird counts; our study tests a direct plant response to ozone.

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