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Nutritional Status and Deficiency Diagnosis of Pinus radiata Plantations in Spain

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Twenty-one plots of Pinus radiata D. Don were selected for nutritional diagnosis on the basis of parent material (nine different substrates) and climate (Atlantic and Mediterranean). After foliar analysis, nutritional diagnoses were conducted, using the critical level method and the DRIS system. The nutrient content in fresh litter (L horizon) was also measured, and nutrient levels of green pine needles were compared with leaves of three native hardwood species (Quercus ilex L., q. robur L. and Fagus sylvatica L.) growing near each pine plot. In most cases, deciduous trees showed higher nutritional levels than evergreen trees. Foliar levels of Ca were always higher in hardwood trees, irrespective of leaf longevity. Phosphorus (P) deficiency was the most common among pines (eight plots showed severe P deficiency). Nitrogen and magnesium deficiencies were also detected in a few cases. The DRIS system diagnosed a larger number of deficiencies than the critical level method, but after intercalibration both methods gave the same diagnosis. In the plots studied, litter analysis appeared to be an alternative to foliar analysis for P, S, Ca, and Mg diagnosis but not for N or K. For. Sci. 42(2):192-197.
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Keywords: DRIS; Foliar analysis; Pinus radiata; deficiency diagnosis; nutritional level

Document Type: Journal Article

Affiliations: Departament de Biologia Vegetal, Universitat de Barcelona, Avgda. Diagonal 645, 08028 Barcelona, Spain

Publication date: 1996-05-01

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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.

    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
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