Site index and soils were studied on one .04-ha plot per stand in 50 natural red pine (Pinus resinosa Ait.) stands. Soils were examined to a depth of 3 m. The current year's terminal leader foliage was sampled on 26 plots. The 50 plots were stratified into two groups on the basis of textural B horizon development or textural banding below the solum. Plots having either of these features within 3 m of the soil surface (group I) averaged 2.5 m greater site index than plots lacking these features (group II). Within each group, surface soil (0-25 cm) properties were more closely related to site index than were soil properties of the forest floor, the subsoil (25-100 cm), or total mineral soil to a depth of 100 cm. Multiple regression analysis indicated significant relationships between site index and surface soil N, P, and K for group I, and N, K, and cation exchange capacity for group II. A single regression equation utilizing a dummy variable for group I or II and terms for surface soil N, P, and K resulted in an R² of .79 and a standard error of estimate of .89 m. Foliar N and P were closely related to site index and a multiple regression equation with terms for N, P, and NxK resulted in an R² of .67 and a standard error of estimate of 1.45 m. Growth limitation due to N or P deficiency probably occurred on several plots but no deficiencies of K, Ca, or Mg were evident. Forest Sci. 20:261-269.
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Document Type: Journal Article
Soil Scientist, USDA Forest Service, North Central Forest Experiment Station, Northern Conifers Laboratory, Grand Rapids, Minnesota. Laboratory maintained in cooperation with the University of Minnesota
Publication date: 1974-09-01
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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.
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