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Notes: Variation in Growth of Red Alder Families in Relation to Shallow Water Table Levels

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Growth of 24 Alnus rubra Bong. families was studied on wet microsites within a 5-year-old progeny trial in western Washington to evaluate variation in response to waterlogged soil. Depth to water table varied from 0 to 30 cm and was determined by depth of rusting on steel rods placed in the soil near each tree. By plotting the data and use of correlation matrices and regression analyses, tree height was found to be related to water table level. Eighteen families had a linear and 6 families a curvilinear relationship between height and water table level. Analysis of covariance, with water table as the covariate, showed that family slope coefficients were heterogeneous, hence families varied in height response to water table level. Several families showed no change in height across the water table level range (30 to 0 cm), but the most sensitive families showed more than a 50% decrease in height across this range. The results suggest that growth of red alder on wet sites may be enhanced by selection and propagation of progeny tolerant of waterlogging. For. Sci. 33(1):224-229.

Keywords: Alnus rubra; genetic variation; reduced soils; saturated soils; waterlogged soils; waterlogging tolerance

Document Type: Miscellaneous

Affiliations: Geneticist, Washington State Department of Natural Resources, Olympia, WA 98502

Publication date: March 1, 1987

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  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
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