Local and general above-stump biomass functions for loblolly pine and slash pine trees

Gonzalez‐Benecke, Carlos A.; Gezan, Salvador A.; Albaugh, Timothy J.; Allen, H. Lee; Burkhart, Harold E.; Fox, Thomas R.; Jokela, Eric J.; Maier, Chris A.; Martin, Timothy A.; Rubilar, Rafael; Samuelson, Lisa J.

doi:10.1016/j.foreco.2014.09.002

Cited by 56 publications

(56 citation statements)

References 98 publications

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“…Similar response was observed by Gonzalez-Benecke et al [10] for Pinus taeda L. and P. elliottii Engelm. trees.…”

Section: Discussionsupporting

confidence: 89%

“…That lack of relationship is evident for trees older than 40 years (data not shown). (10) For the DBH, HT and A based system (Equation (10)), however, after including both DBH and HT, tree age is significant for all component equations (Table 6). For foliage and branch biomass, the negative coefficients of HT implies that for a given DBH and A, taller trees will have lower crown biomass than smaller trees.…”

Section: Model Fittingmentioning

confidence: 97%

“…Similar to Gonzalez-Benecke et al [10], the observations compiled corresponded to the raw data used for model fitting and not to the published equation estimates. This multi-source dataset was based on collaboration among four forestry research institutions in the southeastern U.S. Additionally, data from two 188-year-old trees collected by Auburn University were added to the database.…”

Section: Data Descriptionmentioning

confidence: 99%

“…Each component equation can contain its own independent variables. Similar to Gonzalez-Benecke et al [10], we defined six systems of equations to estimate above-stump total biomass and component biomass that depend on available predictors: (I) DBH; (II) DBH and HT; (III) DBH and A; (IV) DBH, HT and A; (V) DBH, A, N and BA; (VI) DBH, HT, A, N and BA.…”

Section: Model Specification and Estimationmentioning

confidence: 99%

“…These models are widely used but limited to certain stand characteristics and geographical areas, particularly those from which the data originated. However, inclusion of additional stand variables in the models such as stand age, density and/or productivity may result in general models that provide more accurate predictions [10][11][12]. Moreover, Gonzalez-Benecke et al [10] concluded that stand characteristics used as covariates in general biomass functions resulted in significant improvements in model fitting and prediction ability for all tree components, especially when age and HT were unknown.…”

Section: Introductionmentioning

confidence: 99%

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Local and General Above-Ground Biomass Functions for Pinus palustris Trees

Gonzalez‐Benecke

Zhao

Samuelson

et al. 2018

Forests

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Abstract: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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“…Similar response was observed by Gonzalez-Benecke et al [10] for Pinus taeda L. and P. elliottii Engelm. trees.…”

Section: Discussionsupporting

confidence: 89%

Section: Model Fittingmentioning

confidence: 97%

Section: Data Descriptionmentioning

confidence: 99%

Section: Model Specification and Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Local and General Above-Ground Biomass Functions for Pinus palustris Trees

Gonzalez‐Benecke

Zhao

Samuelson

et al. 2018

Forests

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Improving the accuracy of tree biomass estimations for three coniferous tree species in Northeast China

Xie

Widagdo

et al. 2021

Trees

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Species-specific and generic biomass equations for seedlings and saplings of European tree species

et al. 2016

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Biomass equations are a helpful tool to estimate the tree and stand biomass production and standing stock. Such estimations are of great interest for science but also of great importance for global reports on the carbon cycle and the global climate system. Even though there are various collections and generic meta-analyses available with biomass equations for mature trees, reports on biomass equations for juvenile trees (seedlings and saplings) are mainly missing. Against the background of an increasing amount of reforestation and afforestation projects and forests in young successional stages, such equations are required. In this study we have collected data from various studies on the aboveground woody biomass of 19 common tree species growing in Europe. The aim of this paper was to calculate species-specific biomass equations for the aboveground woody biomass of single trees in dependence of root-collar-diameter (RCD), height (H) and the combination of the two (RCD2 H). Next to calculating species-specific biomass equations for the species available in the dataset, we also calculated generic biomass equations for all broadleaved species and all conifer species. The biomass equations should be a contribution to the pool of published biomass equations, whereas the novelty is here that the equations were exclusively derived for young trees

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Local and general above-stump biomass functions for loblolly pine and slash pine trees

Cited by 56 publications

References 98 publications

Local and General Above-Ground Biomass Functions for Pinus palustris Trees

Local and General Above-Ground Biomass Functions for Pinus palustris Trees

Improving the accuracy of tree biomass estimations for three coniferous tree species in Northeast China

Species-specific and generic biomass equations for seedlings and saplings of European tree species

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