Examining growth relationships in Quercus stands: An application of individual-tree models developed from long-term thinning experiments

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18 Scopus citations

Abstract

This manuscript seeks to further the understanding of growth patterns in Quercus forests, thereby informing the development of appropriate thinning practice. The author leveraged a network of thinning experiments established by the US Forest Service more than 50 years ago. Individual-tree diameter growth and survival models were developed along with a simulation framework to evaluate the relationship between stand stocking and 20-year basal area and volume growth. Models predicting five-year diameter growth and survival of individual trees included variables representing tree size, competitive position, stand density, and/or site quality. Model evaluation focused on the collective accuracy and cumulative error propagation of the individual-tree models through four, five-year growth cycles. Through a series of stand density simulations in white oak (Quercus alba L.) dominated forest structures representing four mid-rotation age conditions, it was found that stand basal area and total volume growth followed a unimodal pattern culminating at 50–60% stocking. Sawtimber volume growth was more sensitive to initial stand age, and the stocking level where it peaked increased with increasing age. The study not only helps to define relationships for Quercus stands of the Central Hardwood Forest Region, USA, but it also adds to the limited body of research quantifying individual-tree and stand growth relationships within mixed species broadleaf forest types.

Original languageEnglish
Pages (from-to)65-77
Number of pages13
JournalForest Ecology and Management
Volume385
DOIs
StatePublished - Feb 1 2017

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V.

Keywords

  • Density-growth relationships
  • Diameter growth
  • Quercus
  • Stand stocking
  • Survival

ASJC Scopus subject areas

  • Forestry
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law

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