Responses of Herbaceous and Woody Plants to the Dry Deposition of SO2 and NO2 View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1987

AUTHORS

T. A. Mansfield , M. E. Whitmore , P. C. Pande , P. H. Freer-Smith

ABSTRACT

Simultaneous exposure of plants to SO2 and NO2 Pollution can produce responses that would not be predicted from the individual effects of the two gases. The action of short, acute doses of SO2 + NO2 has not been fully explored, and there are synergistic effects and other dose-response peculiarities, which can at present only be tentatively explained. The synergism beween SO2 and NO2 has also been revealed by long-term exposures of herbaceous and woody plants. In the case of grasses and cereals, there is a severe suppression of growth in SO2 + NO2 in midwinter, but there can be a remarkable recovery in spring and summer. In woody plants, the capacity for such recovery is limited, and 2-year fumigations revealed enhanced responses in the second year. It has been possible to produce a good dose-response curve for the grass Poapratensis exposed to mixtures of SO2 and NO2 for periods of up to 50 days. Good progress has also been made towards establishing a dose-response relationship for a broad-leaved tree, Betulapendula. In both cases, low concentrations appear to stimulate growth, but growth is dramatically inhibited as concentrations increase. The dry deposition of SO2 and NO2 from the concentrations present in rural air in industrialized countries is likely to produce growth stimulation in some circumstances, and inhibition in others. Initial growth stimulations may have long-term deleterious effects; they could, for example, increase sensitivity to frost. More... »

PAGES

131-144

Book

TITLE

Effects of Atmospheric Pollutants on Forests, Wetlands and Agricultural Ecosystems

ISBN

978-3-642-70876-3
978-3-642-70874-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-70874-9_9

DOI

http://dx.doi.org/10.1007/978-3-642-70874-9_9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042132298


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