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Estimating Annual Increment Response to Forest Fertilization: A Comparison of Methods by Uniformity Trials

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Several estimators of annual basal area increment response to forest fertilization are compared using mean square error. Estimates of mean square error are obtained through uniformity trials. The unadjusted response estimator, that is, the annual basal area increment difference between the treated and the control plots, has an annual root mean square error of approximately 0.1 m²/ha. The other estimators use pretreatment increment difference to improve the response estimate. The easily calculated constant and ratio estimators are satisfactory, with root mean square errors of approximately 0.04 m²/ha initially, rising to about 0.1 m²/ha about 20 years after the pretreatment period. Estimators using time series, covariance, or regression adjustment do not improve upon this. The data has its origin from a broad set of fertilization field trials on Pinus sylvestris L. and Picea abies L. Karst. in the southeast of Norway. For. Sci. 37(1):123-135.
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Keywords: ANCOVA; ANOVA; AR(1); Prediction error; long-term prediction; mean square error; regression

Document Type: Journal Article

Affiliations: Hedmark College, 2450 Rena, Norway, and the Norwegian Institute of Forest Research, 1432 Ås-NLH, Norway

Publication date: 1991-03-01

More about this publication?
  • 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.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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