Canadian Forest Service Publications

Sampling ozone exposure of Canadian forests at different scales: some case studies. Proceedings of the international symposium on passive sampling of gaseous air pollutants in ecological effects research. 2001. Cox, R.M.; Malcolm, J.W.; Hughes, R.N.; Williams, T.P.W. The Scientific World 1: 823-835.

Year: 2001

Available from: Atlantic Forestry Centre

Catalog ID: 19138

Language: English

CFS Availability: Not available through the CFS (click for more information).

Abstract

The use of passive samplers in extensive monitoring, such as that used in national forest health monitoring plots, indicates that these devices are able to determine both spatial and temporal differences in ozone exposure of the plots. This allows for categorisation of the plots and the potential for cause-effect analysis of certain forest health responses. Forest exposure along a gradient of air pollution deposition demonstrates large variation in accumulated exposures. The efficacy of using passive samplers for in situ monitoring of forest canopy exposure was also demonstrated. The sampler data produced weak relationships with ozone values from the nearest “continuous” monitor, even though data from colocated samplers showed strong relationships. This spatial variation and the apparent effect of elevation on ozone exposure demonstrate the importance of topography and tree canopy characteristics in plant exposure on a regional scale. In addition, passive sampling may identify the effects of local pollutant gases, such as NOx, which may scavenge ozone locally only to increase the production of this secondary pollutant downwind, as atmospheric reactions redress the equilibrium between concentrations of this precursor and those of the generated ozone. The use of passive samplers at the stand level is able to resolve vertical profiles within the stand and edge effects that are important in exposure of understorey and ground flora. Recent case studies using passive samplers to determine forest exposure to ozone indicate a great potential for the development of spatial models on a regional, landscape, and stand level scale.

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