Modeling Soil Quality Thresholds to Ecosystem Recovery at Fort Benning, Georgia, USA

Garten, Jr

doi:10.2172/885635

Cited by 3 publications

(13 citation statements)

References 52 publications

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“…Soil sampling in old fields and abandoned agricultural land in the southeastern USA [29,30] indicates that a default value for BSC would range from 2.5 to 3.5 g C m −2 and FNF is about 0.2. Therefore, initial conditions for the soil carbon stock in the model were set to 3.0 kg C m −2 .…”

Section: Soil Carbon Stocksmentioning

confidence: 99%

“…Combinations of high mean annual temperatures and high initial soil carbon stocks (>5 kg C m −2 ) are improbable initial conditions for switchgrass establishment in the southeastern USA. Measurements at various locations throughout the region indicate that surface (0-30 cm) soil carbon stocks in abandoned agricultural fields seldom exceed 4 kg C m −2 [29,30,50]. Lands in the conservation reserve program in three states were also found to contain less than 4 kg C m −2 to a depth of 30 cm [51].…”

Section: Model-based Experimentsmentioning

confidence: 99%

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Review and Model-Based Analysis of Factors Influencing Soil Carbon Sequestration Beneath Switchgrass (Panicum virgatum)

Garten

2011

Bioenerg. Res.

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A multi-compartment model was developed to summarize existing data and predict soil carbon sequestration beneath switchgrass (Panicum virgatum) in the southeastern USA. Soil carbon sequestration is an important part of sustainable switchgrass production for bioenergy because soil organic matter promotes water retention, nutrient supply, and soil properties that minimize erosion. A literature review was undertaken for the purpose of model parameterization. A sensitivity analysis of the model indicated that predictions of soil carbon sequestration were affected most by changes in aboveground biomass production, the ratio of belowground-to-aboveground biomass production, and mean annual temperature. Simulations indicated that the annual rate of soil carbon sequestration approached steady state after a decade of switchgrass growth while predicted mineral soil carbon stocks were still increasing. A model-based experiment was performed to predict rates of soil carbon sequestration at different levels of nitrogen fertilization and initial soil carbon stocks (to a 30-cm depth). At a mean annual temperature of 13°C, the predicted rate of soil carbon sequestration varied from −28 to 114 g C m −2 year −1 (after 30 years) and was greater than zero in 11 of 12 simulations that varied initial surface soil carbon stocks from 1 to 5 kg C m −2 and nitrogen fertilization from 0 to 18 g N m −2 year −1 . The modeling indicated that more research is needed on the process of biomass allocation and on nitrogen loss from mature plantations, respectively, to improve our understanding of carbon and nitrogen dynamics in switchgrass agriculture.

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Section: Soil Carbon Stocksmentioning

confidence: 99%

Section: Model-based Experimentsmentioning

confidence: 99%

Review and Model-Based Analysis of Factors Influencing Soil Carbon Sequestration Beneath Switchgrass (Panicum virgatum)

Garten

2011

Bioenerg. Res.

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“…At this growth rate, predicted tree wood biomass reached 94% of steady state in E50 years. Maximum aboveground tree biomass (TARGET) was set to 18,000 g m À2 which is in agreement with estimates of aboveground biomass in longleaf pine stands at Fort Benning (Garten and Ashwood, 2005) and with stand biomass in mature (45-year old) forests on the southern Piedmont (Johnson and Lindberg, 1992). This is similar to aboveground biomass in loblolly pine after 50-60 years of stand development (E21,000 g m À2 ; Switzer et al, 1968).…”

Section: Tree Biomass Submodelmentioning

confidence: 78%

“…The model was parameterized using information from field studies (Garten and Ashwood, 2004;Garten and Ashwood, 2005), literature sources, and parameter fitting. Prior research on Fort Benning (Garten and Ashwood, 2005) indicated that soils with varying sand content had different predicted thresholds to ecosystem recovery.…”

Section: Model Parameterizationmentioning

confidence: 99%

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Predicted effects of prescribed burning and harvesting on forest recovery and sustainability in southwest Georgia, USA

Garten

2006

Journal of Environmental Management

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Ground layer carbon and nitrogen cycling and legume nitrogen inputs following fire in mixed pine forests

Lajeunesse

Dilustro

Sharitz

et al. 2006

American J of Botany

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Many mixed pine forests in the southeastern United States undergo prescribed burning to promote open pine savannas. In these systems, soil texture can influence fire's effect on vegetation and nutrient cycling. Our objectives were to examine fire and soil texture effects on carbon (C) and nitrogen (N) pools in ground layer vegetation. We measured biomass and tissue nutrient concentrations and estimated legume N inputs via N2 fixation in frequently burned sandy and clayey sites that were in the first and second seasons following a prescribed fire in 2002 (B02) or had been unburned since 2000 (B00). Mean belowground biomass was significantly greater on sandy than on clayey sites. Total aboveground mean biomass did not differ significantly between B00 and B02 sites, but grasses had greater aboveground biomass in clayey than in sandy sites. Carbon and N pools (measured in grams per square meter) in grasses were greater in clayey than in sandy sites, yet grasses had greater tissue concentrations of C (as a percentage) in sandy sites. Legumes showed significant interaction effects between soil texture and fire frequency for tissue C and N pools, above‐ and belowground biomass, and acetylene reduction activities. Results suggest that soil texture can influence fire effects on ground layer vegetation in southeastern mixed pine forests.

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Modeling Soil Quality Thresholds to Ecosystem Recovery at Fort Benning, Georgia, USA

Cited by 3 publications

References 52 publications

Review and Model-Based Analysis of Factors Influencing Soil Carbon Sequestration Beneath Switchgrass (Panicum virgatum)

Review and Model-Based Analysis of Factors Influencing Soil Carbon Sequestration Beneath Switchgrass (Panicum virgatum)

Predicted effects of prescribed burning and harvesting on forest recovery and sustainability in southwest Georgia, USA

Ground layer carbon and nitrogen cycling and legume nitrogen inputs following fire in mixed pine forests

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