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Dry-Matter Partitioning and Fine-Root Production in Forests — New Approaches to a Difficult Problem

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Biomass Production by Fast-Growing Trees

Part of the book series: NATO ASI Series ((NSSE,volume 166))

Abstract

Mechanisms which control growth and production of tree components in forests are poorly understood (Linder and Rook 1984, Cannell 1985, Landsberg 1986). Studies of forest production have been limited typically to the aboveground, often only the increment of stem volume. As a consequence, conventional forestry yield tables or growth models do not estimate total net primary production (TNPP) or predict changes in dry-matter partitioning (the distribution of TNPP) as genotype, site and silvicultural factors change. Belowground production has been estimated directly in few studies because present methods are technically difficult and labor-intensive, especially for fine roots and their associated mycorrhizae (Fogel 1985, Santantonio and Grace 1987, Persson 1988). Although the amount and quality of data are very limited, enough information exists to indicate that fine roots are an important component of stand production.

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Author information

Authors and Affiliations

  1. Department of Ecology and Environmental Research, Swedish University of Agricultural Sciences, P.O. Box 7072, S-750 07, Uppsala, Sweden

    Dan Santantonio

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  1. Dan Santantonio
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Editor information

Editors and Affiliations

  1. Instituto Superior de Agronomia, Technical University of Lisbon, Portugal

    J. S. Pereira

  2. CSIRO Division of Wildlife and Ecology, Lyneham, Australia

    J. J. Landsberg

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© 1989 Kluwer Academic Publishers

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Santantonio, D. (1989). Dry-Matter Partitioning and Fine-Root Production in Forests — New Approaches to a Difficult Problem. In: Pereira, J.S., Landsberg, J.J. (eds) Biomass Production by Fast-Growing Trees. NATO ASI Series, vol 166. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2348-5_4

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  • DOI: https://doi.org/10.1007/978-94-009-2348-5_4

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7557-2

  • Online ISBN: 978-94-009-2348-5

  • eBook Packages: Springer Book Archive

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