Foliage-sapwood area relationships for balsam fir in north-central Minnesota

Daniel W. Gilmore, Eric Zenner

Research output: Contribution to journalReview article

4 Citations (Scopus)

Abstract

Leaf area is an important determinant of plant productivity. Because foliage is difficult to measure directly, allometric relationships often are used to predict branch-level and tree-level attributes such as total mass, needle mass, crown biomass, and projected leaf area. Two modeling approaches (i.e., the "crown weighing" and the "branch summation" approach) and two model forms (i.e., a nonlinear model form and a linear logarithmic model form) have generally been used to develop allometric relationships. It is unclear, however, whether these approaches result in similar predictions, which of these model forms provides us with the better predictions, and whether allometric equations developed for the same tree species in one region can be safely applied in another region. To investigate these questions, allometric equations to predict branch-level attributes (mass and leaf area) were constructed for balsam fir (Abies balsamea (L.) Mill.) in Minnesota. The "branch summation" approach was used to construct equations to predict crown biomass and projected leaf area from sapwood area, dbh, and crown length. These predictions were compared to those from the crown weighing approach. No statistically significant differences were detected. Results also indicated that the logarithmic form of the allometric model was the model of choice over the nonlinear form. Furthermore, branch-level and tree-level equations developed for balsam fir from north-central Minnesota differed from those of other regions within the range of data for the trees sampled. This reinforces the need for developing localized allometric equations.

Original languageEnglish (US)
Pages (from-to)203-210
Number of pages8
JournalNorthern Journal of Applied Forestry
Volume22
Issue number3
StatePublished - Sep 1 2005

Fingerprint

Abies balsamea
sapwood
foliage
tree crown
leaf area
leaves
Weighing
prediction
Biomass
biomass
nonlinear models
Needles
linear models
Productivity
productivity
modeling

All Science Journal Classification (ASJC) codes

  • Forestry
  • Materials Science(all)
  • Plant Science

Cite this

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title = "Foliage-sapwood area relationships for balsam fir in north-central Minnesota",
abstract = "Leaf area is an important determinant of plant productivity. Because foliage is difficult to measure directly, allometric relationships often are used to predict branch-level and tree-level attributes such as total mass, needle mass, crown biomass, and projected leaf area. Two modeling approaches (i.e., the {"}crown weighing{"} and the {"}branch summation{"} approach) and two model forms (i.e., a nonlinear model form and a linear logarithmic model form) have generally been used to develop allometric relationships. It is unclear, however, whether these approaches result in similar predictions, which of these model forms provides us with the better predictions, and whether allometric equations developed for the same tree species in one region can be safely applied in another region. To investigate these questions, allometric equations to predict branch-level attributes (mass and leaf area) were constructed for balsam fir (Abies balsamea (L.) Mill.) in Minnesota. The {"}branch summation{"} approach was used to construct equations to predict crown biomass and projected leaf area from sapwood area, dbh, and crown length. These predictions were compared to those from the crown weighing approach. No statistically significant differences were detected. Results also indicated that the logarithmic form of the allometric model was the model of choice over the nonlinear form. Furthermore, branch-level and tree-level equations developed for balsam fir from north-central Minnesota differed from those of other regions within the range of data for the trees sampled. This reinforces the need for developing localized allometric equations.",
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Foliage-sapwood area relationships for balsam fir in north-central Minnesota. / Gilmore, Daniel W.; Zenner, Eric.

In: Northern Journal of Applied Forestry, Vol. 22, No. 3, 01.09.2005, p. 203-210.

Research output: Contribution to journalReview article

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AU - Gilmore, Daniel W.

AU - Zenner, Eric

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N2 - Leaf area is an important determinant of plant productivity. Because foliage is difficult to measure directly, allometric relationships often are used to predict branch-level and tree-level attributes such as total mass, needle mass, crown biomass, and projected leaf area. Two modeling approaches (i.e., the "crown weighing" and the "branch summation" approach) and two model forms (i.e., a nonlinear model form and a linear logarithmic model form) have generally been used to develop allometric relationships. It is unclear, however, whether these approaches result in similar predictions, which of these model forms provides us with the better predictions, and whether allometric equations developed for the same tree species in one region can be safely applied in another region. To investigate these questions, allometric equations to predict branch-level attributes (mass and leaf area) were constructed for balsam fir (Abies balsamea (L.) Mill.) in Minnesota. The "branch summation" approach was used to construct equations to predict crown biomass and projected leaf area from sapwood area, dbh, and crown length. These predictions were compared to those from the crown weighing approach. No statistically significant differences were detected. Results also indicated that the logarithmic form of the allometric model was the model of choice over the nonlinear form. Furthermore, branch-level and tree-level equations developed for balsam fir from north-central Minnesota differed from those of other regions within the range of data for the trees sampled. This reinforces the need for developing localized allometric equations.

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