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Modeling ozone bioindicator injury with microscale and landscape-scale explanatory variables: A logistic regression approach

Informally Refereed
Authors: John W. Coulston
Year: 2011
Type: General Technical Report
Station: Southern Research Station
Source: In: Conkling, Barbara L., ed. 2011. Forest health monitoring: 2007 national technical report. Gen. Tech. Rep. SRS-147. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station

Abstract

Tropospheric ozone occurs at phytotoxic levels in the United States (Lefohn and Pinkerton 1988). Several plant species, including commercially important timber species, are sensitive to elevated ozone levels. Exposure to elevated ozone can cause growth reduction and foliar injury and make trees more susceptible to secondary stressors such as insects and pathogens (Chappelka and Samuelson 1998). In response to this threat, the Forest Service, U.S. Department of Agriculture, maintains a national ozone biomonitoring program.

Parent Publication

Citation

Coulston, John W. 2011. Modeling ozone bioindicator injury with microscale and landscape-scale explanatory variables: A logistic regression approach. In: Conkling, Barbara L., ed. 2011. Forest health monitoring: 2007 national technical report. Gen. Tech. Rep. SRS-147. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. pages 107-116. 10 p.
https://www.fs.usda.gov/research/treesearch/56078