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

Samuelson, Lisa J.; Stokes, Thomas A.; Butnor, John R.; Johnsen, Kurt H.; Gonzalez‐Benecke, Carlos A.; Martin, Timothy A.; Cropper, Wendell P.; Anderson, Pete; Ramirez, Michael R.; Lewis, John Courtenay

doi:10.1002/eap.1439

Cited by 47 publications

(36 citation statements)

References 86 publications

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“…Interestingly, the model S-17 showed a tendency of overestimating on about 11% all biomass components. Graphical analysis of the actual biomass and that predicted by the equations reported by Baldwin and Saucier [8] (BS-83) and Samuelson et al [19] (S-17), and new equation systems developed in this study indicate that the new equation systems predicted all biomass components on the larger dataset with great precision and accuracy. In Figure 5 we show the results for model system II and VI.…”

Section: Comparison Against Published Equationsmentioning

confidence: 66%

“…All previously reported, biomass functions for longleaf pine trees rely on DBH only [7,15,19] or DBH and HT [8,9,[15][16][17]19]. When compared with our model system VI, the functions of Baldwin and Saucier [8] and Samuelson et al [19] showed a tendency to estimate biased results.…”

Section: Discussionmentioning

confidence: 76%

“…As Parresol [20] concluded, biomass additivity is a preferred attribute of a biomass equations system. All previous biomass equations reported for longleaf pine including the biomass equations of Baldwin and Saucier [8] and Samuelson et al [19] used in this study for comparison are not additive, as they were fitted separately for each component and total biomass. This model structure was used to ensure the additivity property of nonlinear models.…”

Section: Discussionmentioning

confidence: 99%

“…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%

“…The predictive performances of the new model systems were compared with the previous biomass equations reported by Baldwin and Saucier [8] and Samuelson et al [19] using the same Formulae (3)- (6). Is important to note that the data used by these authors is already included in our dataset (Table 1).…”

Section: Comparison Against Published Equationsmentioning

confidence: 99%

See 4 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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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: Comparison Against Published Equationsmentioning

confidence: 66%

Section: Discussionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 99%

Section: Data Descriptionmentioning

confidence: 99%

Section: Comparison Against Published Equationsmentioning

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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Quantifying forest carbon dynamics as a function of tree species composition and management under projected climate

2018

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Abstract. Uncertainty remains about whether current rates of forest carbon uptake will be maintained with on-going climate change and increasing rates of disturbance. The potential exists for climate and disturbance to exceed the physiological tolerances of certain tree species and push forest ecosystems to a point where they become C sources. Thus, a diversity of tree species with a range of physiological tolerances could provide adaptive capacity and potentially sustain a C sink despite adverse abiotic influences. The fire-prone pine forests of the southeastern USA have been impacted by a combination of land use and fire exclusion, which has altered the demographics and composition of these historically diverse forests. We sought to quantify how prescribed fire and planting of climate-resilient tree species would alter forest carbon dynamics under projected climate change at Fort Benning, Georgia. This landscape is comprised of a diversity of forest types with a range of land-use histories and is heavily managed to meet military training objectives and federally listed species habitat requirements. We used a simulation approach to determine species-specific growth responses to projected climate and develop two management scenarios: no-management and prescribed fire coupled with planting. We ran landscape simulations of these two management scenarios under climate projections from ten global climate models to quantify how active management would alter forest carbon dynamics as a function of changing climate and wildfire. We found that the prescribed fire and plant scenario increased total ecosystem carbon (TEC) over our no-management scenario by over 20 Mg C/m 2 by late century. Despite the differences in TEC, differences in net ecosystem exchange were not realized over the entire simulation. The primary drivers of TEC differences were sustained carbon uptake and lower carbon loss to wildfire in the prescribed fire and plant scenario. Our results demonstrate that under projected climate, managing to reduce the impacts of fire and planting climate-adapted species can increase the mitigation potential of these forests.

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A model comparison of fire return interval impacts on carbon and species dynamics in a southeastern U.S. pineland

et al. 2021

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Ecosystem process models can be used to predict forest response to disturbances at a range of scales. Selection of the spatial class of model should depend on the scale of the research or management question, and model type should depend on the ecosystem attributes of interest. In some cases, multiple classes of models could be used to address a single research question, with evaluations at each scale having potential benefits and drawbacks. This study examines two classes of models relative to how fire return intervals impact carbon and species dynamics in a southeastern U.S. pineland. A model that can be run as a global class model (ED) and a landscape class model (LANDIS-II) were parameterized with species inventory data from an experimental Pinus Palustris (longleaf pine) forest in southwest Georgia, and simulations were calibrated with literature values, then validated with eddy-covariance data from the study site. A variety of fire scenarios that included prescribed fire with a 2-yr return interval, fire exclusion, and three wildfire scenarios (20-, 50-, and 100-yr return intervals) were used for model runs. Results were compared and evaluated with regard to ecosystem carbon and species dynamics. Both models illustrated that prescribed fire provided the greatest carbon sequestration potential and most stable aboveground biomass through time when compared to the wildfire scenarios. The fire exclusion scenario for LANDIS-II was the only scenario where prescribed fire did not provide the greatest carbon sequestration potential. However, fire exclusion on the order of centuries was a condition of this outcome and the occurrence of such long fire-free periods is considered unrealistic in this fire-prone landscape. Differences between models were primarily the result of the underlying characteristics of each model class, namely the spatial resolution and number of species included. In the end, two vastly different scale models supported the conclusion that high frequency prescribed fire in southeastern U.S. pinelands stabilizes carbon and maintains species composition in an ecosystem that is a known ecological hotspot.

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

Cited by 47 publications

References 86 publications

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

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

Quantifying forest carbon dynamics as a function of tree species composition and management under projected climate

A model comparison of fire return interval impacts on carbon and species dynamics in a southeastern U.S. pineland

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