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Effect of variable retention cutting on the relationship between growth of coarse roots and stem of Picea mariana
Authors:Hans Pretzsch  Michael Heym  Samuel Pinna  Robert Schneider
Affiliation:1. Chair for Forest Growth and Yield, Center of Life and Food Sciences Weihenstephan, Technische Universit?t München, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, GermanyH.Pretzsch@lrz.tum.de;3. Chair for Forest Growth and Yield, Center of Life and Food Sciences Weihenstephan, Technische Universit?t München, Hans-Carl-von-Carlowitz-Platz 2, 85354, Freising, Germany;4. Consortium en foresterie Gaspésie-Les-?les 37, rue Chrétien, P.O. Box 5, Gaspé (Québec) Canada G4X 1E1;5. Chaire de recherche sur la forêt habitée, Département de biologie, chimie et géographie UQAR 300, allée des Ursulines, Rimouski (Québec), Canada G5L 3A1
Abstract:Silviculture heading for structural heterogeneity creates many single trees standing at stand margins, inner edges or in remnant tree groups. As they played just a minor role in the age class forest, the growth behaviour of strongly released trees is rather unexplored. Here we show how retention cutting, presently spreading in the boreal of Québec province, affects stem and coarse root growth of remained single black spruce [Picea mariana (Mill.) Britton]. Increment cores from roots and stems of 125 trees show that retention cutting triggers coarse root growth of the remaining trees. Compared with reference trees retention trees accelerate root in relation to stem growth. Mean and variability of the root–stem allometry significantly rise after retention cutting. The found acceleration of root in relation to stem growth means mechanical stabilisation of the retention trees and corroborates the retention cutting method. Evaluation of silvicultural treatments can be incomplete and misleading as long as they are just based on aboveground reactions and neglect root growth.
Keywords:allometric partitioning theory  biodiversity  morphological variability  optimal partitioning theory  root–stem ratio  structural complexity
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