Ecosystem carbon stocks in <i>Pinus palustris</i> forests

Samuelson, Lisa J.; Stokes, Tom; Butnor, John R.; Johnsen, Kurt H.; Gonzalez‐Benecke, Carlos A.; Anderson, Pete; Jackson, Jason A.; Ferrari, Lorenzo; Martin, Timothy A.; Cropper, Wendell P.

doi:10.1139/cjfr-2013-0446

Cited by 55 publications

(61 citation statements)

References 39 publications

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“…Compared with system I (based on DBH only), system III additionally included tree age which was significant only in the bole biomass equation, but also improved the branch and total biomass predictions. This response may be related to changes in wood density as trees age [9,22] and the interdependence of additive models. When A was included in the models that used DBH and HT (model system IV), it was significant in bole, branch and foliage equations, improving bole, branch and total biomass predictions.…”

Section: Discussionmentioning

confidence: 99%

“…However, the positive coefficient of DBH and the negative coefficient of HT in branch and foliage components imply that branch and foliage biomass increase with the increase of DBH, but for the same DBH, live branch and foliage biomass decrease with increased tree height. (9) In the DBH and A based system (Equation (9)), DBH is significant in all component equations, but age is significant only for the bole biomass component (Table 5). This implies that with tree DBH information in the equation, the addition of tree age did not improve branch and foliage biomass estimation but did improve bole biomass estimation.…”

Section: Model Fittingmentioning

confidence: 98%

“…The data used in this study were compiled from several sources that were previously used to develop site-specific allometric functions [7][8][9][15][16][17][18][19]. 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.…”

Section: Data Descriptionmentioning

confidence: 99%

“…Often, local functions used to estimate tree biomass rely on the stem diameter over-bark at 1.37 m height (DBH) [2,7], or DBH and total tree height (HT) as explanatory variables [8,9]. These models are widely used but limited to certain stand characteristics and geographical areas, particularly those from which the data originated.…”

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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Section: Discussionmentioning

confidence: 99%

Section: Model Fittingmentioning

confidence: 98%

Section: Data Descriptionmentioning

confidence: 99%

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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“…)-dominated forests within the Southeastern United States (SEUS), to better understand their carbon dynamics [18][19][20]. The longleaf pine forest is an excellent example of how placement of a stand within the landscape has led to variation in structure and function, particularly when influenced by water limitations [21][22][23][24]. Soil water holding capacity has been shown to be the primary variable that controls net primary production (NPP) within the longleaf ecosystem [21], and was linked to plant rooting zones and access to the water table [23,25].…”

Section: Introductionmentioning

confidence: 99%

Carbon Dynamics of Pinus palustris Ecosystems Following Drought

Starr

Staudhammer

Wiesner

et al. 2016

Forests

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Drought can affect forest structure and function at various spatial and temporal scales. Forest response and recovery from drought may be a result of position within landscape. Longleaf pine forests in the United States have been observed to reduce their carbon sequestration capacity during drought. We collected eddy covariance data at the ends of an edaphic longleaf pine gradient (xeric and mesic sites) over seven years; two years of normal rainfall were followed by 2.5 years of drought, then 2.5 years of normal or slightly above-average rainfall. Drought played a significant role in reducing the physiological capacity of the sites and was compounded when prescribed fire occurred during the same periods. The mesic site has a 40% greater basal area then the xeric site, which accounts for its larger sequestration capacity; however, both sites show the same range of variance in fluxes over the course of the study. Following drought, both sites became carbon sinks. However, the xeric site had a longer carry-over effect and never returned to pre-drought function. Although this study encompassed seven years, we argue that longer studies with greater spatial variance must be undertaken to develop a more comprehensive understanding of forest response to changing climate.

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Ecosystem carbon density and allocation across a chronosequence of longleaf pine forests

Samuelson

Stokes

Butnor

et al. 2017

Ecological Applications

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Forests can partially offset greenhouse gas emissions and contribute to climate change mitigation, mainly through increases in live biomass. We quantified carbon (C) density in 20 managed longleaf pine (Pinus palustris Mill.) forests ranging in age from 5 to 118 years located across the southeastern United States and estimated above- and belowground C trajectories. Ecosystem C stock (all pools including soil C) and aboveground live tree C increased nonlinearly with stand age and the modeled asymptotic maxima were 168 Mg C/ha and 80 Mg C/ha, respectively. Accumulation of ecosystem C with stand age was driven mainly by increases in aboveground live tree C, which ranged from <1 Mg C/ha to 74 Mg C/ha and comprised <1% to 39% of ecosystem C. Live root C (sum of below-stump C, ground penetrating radar measurement of lateral root C, and live fine root C) increased with stand age and represented 4-22% of ecosystem C. Soil C was related to site index, but not to stand age, and made up 39-92% of ecosystem C. Live understory C, forest floor C, downed dead wood C, and standing dead wood C were small fractions of ecosystem C in these frequently burned stands. Stand age and site index accounted for 76% of the variation in ecosystem C among stands. The mean root-to-shoot ratio calculated as the average across all stands (excluding the grass-stage stand) was 0.54 (standard deviation of 0.19) and higher than reports for other conifers. Long-term accumulation of live tree C, combined with the larger role of belowground accumulation of lateral root C than in other forest types, indicates a role of longleaf pine forests in providing disturbance-resistant C storage that can balance the more rapid C accumulation and C removal associated with more intensively managed forests. Although other managed southern pine systems sequester more C over the short-term, we suggest that longleaf pine forests can play a meaningful role in regional forest C management.

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Ecosystem carbon stocks in Pinus palustris forests

Cited by 55 publications

References 39 publications

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

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

Carbon Dynamics of Pinus palustris Ecosystems Following Drought

Ecosystem carbon density and allocation across a chronosequence of longleaf pine forests

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