Local and General Above-Ground Biomass Functions for Pinus palustris Trees
1
Department of Forest Engineering, Resources and Management, Oregon State University, 280 Peavy Hall, Corvallis, OR 97331, USA
2
Warnell School of Forestry and Natural Resources, University of Georgia, 180 E. Green St., Athens, GA 30602, USA
3
School of Forestry and Wildlife Sciences, Auburn University, 3301 SFWS Building, Auburn University, Auburn, AL 36849, USA
4
School of Forest Resources and Conservation, University of Florida, P.O. Box 110410, Gainesville, FL 32611, USA
5
USDA Forest Service; Southern Research Station, Alexandria Forestry Center, Pineville, LA 71360, USA
6
Joseph W. Jones Ecological Research Center, 3988 Jones Center Drive, Newton, GA 39870, USA
*
Author to whom correspondence should be addressed.
Forests 2018, 9(6), 310; https://doi.org/10.3390/f9060310
Received: 10 May 2018
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Revised: 25 May 2018
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Accepted: 30 May 2018
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Published: 1 June 2018
(This article belongs to the Special Issue Longleaf Pine)
There is an increasing interest in estimating biomass for longleaf pine (Pinus palustris Mill.), an important tree species in the southeastern U.S. Most of the individual-tree allometric models available for the species are local, relying on stem diameter outside bark at breast height (DBH) and total tree height (HT), but seldom include stand-level variables such as stand age, basal area or stand density. Using the biomass dataset of 296 longleaf pine trees sampled in the southeastern U.S. by different forestry research institutions, we developed a set of local and general systems of tree biomass equations to predict total tree total above-stump biomass, bole biomass outside bark, live branch biomass and live foliage biomass. The local systems were based on DBH or DBH and HT, and the general systems included in addition to DBH and HT, stand-level variables such as age, basal area and stand density. This paper reports the first set of general allometric equations reported for longleaf pine trees. These systems of biomass equations provide tools to support managers in making management decisions for the species in a variety of ecological, silvicultural and economics applications. The systems can be applied to trees growing over a large geographical area and having a wide range of ages and stand characteristics.
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Keywords:
longleaf pine; allometry; carbon stock modeling
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MDPI and ACS Style
Gonzalez-Benecke, C.A.; Zhao, D.; Samuelson, L.J.; Martin, T.A.; Leduc, D.J.; Jack, S.B. Local and General Above-Ground Biomass Functions for Pinus palustris Trees. Forests 2018, 9, 310. https://doi.org/10.3390/f9060310
AMA Style
Gonzalez-Benecke CA, Zhao D, Samuelson LJ, Martin TA, Leduc DJ, Jack SB. Local and General Above-Ground Biomass Functions for Pinus palustris Trees. Forests. 2018; 9(6):310. https://doi.org/10.3390/f9060310
Chicago/Turabian StyleGonzalez-Benecke, Carlos A., Dehai Zhao, Lisa J. Samuelson, Timothy A. Martin, Daniel J. Leduc, and Steven B. Jack. 2018. "Local and General Above-Ground Biomass Functions for Pinus palustris Trees" Forests 9, no. 6: 310. https://doi.org/10.3390/f9060310
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