Cited by 391Soil Carbon and Nitrogen DynamicsBioenergy crop production and managementSoil erosion and sediment transport

The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index; 5 of the 74 sources its claims cite were checked for support.

Changes in soil organic carbon under biofuel crops

Open access

Abstract

Abstract One potentially significant impact of growing biofuel crops will be the sequestration or release of carbon (C) in soil. Soil organic carbon (SOC) represents an important C sink in the lifecycle C balances of biofuels and strongly influences soil quality. We assembled and analyzed published estimates of SOC change following conversion of natural or agricultural land to biofuel crops of corn with residue harvest, sugarcane, Miscanthus x giganteus , switchgrass, or restored prairie. We estimated SOC losses associated with land conversion and rates of change in SOC over time by regressing net change in SOC relative to a control against age since establishment year. Conversion of uncultivated land to biofuel agriculture resulted in significant SOC losses – an effect that was most pronounced when native land was converted to sugarcane agriculture. Corn residue harvest (at 25–100% removal) consistently resulted in SOC losses averaging 3–8 Mg ha −1 in the top 30 cm, whereas SOC accumulated under all four perennial grasses, with SOC accumulation rates averaging <1 Mg ha −1 yr −1 in the top 30 cm. More intensive harvests led to decreased C gains or increased C losses – an effect that was particularly clear for residue harvest in corn. Direct or indirect conversion of previously uncultivated land for biofuel agriculture will result in SOC losses that counteract the benefits of fossil fuel displacement. Additionally, SOC losses under corn residue harvest imply that its potential to offset C emissions may be overestimated, whereas SOC sequestration under perennial grasses represents an additional benefit that has rarely been accounted for in life cycle analyses of biofuels.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This synthesis of published soil-carbon measurements finds that clearing uncultivated land for biofuel crops causes soil organic carbon (SOC) losses, corn residue harvest consistently depletes SOC, and perennial grasses tend to build SOC. The authors argue these SOC changes should be included in biofuel life-cycle assessments because they can offset or add to the benefits of displacing fossil fuels.

Key findings

  • Across 46 studies and 164 site-treatment combinations, converting native land to biofuel agriculture produced significant SOC losses, with the largest effect when native ecosystems became sugarcane. Corn residue removal at 25–100% consistently lost SOC, averaging 3–8 Mg C ha⁻¹ in the top 30 cm, while all four perennial grass systems accumulated SOC at average rates below 1 Mg C ha⁻¹ yr⁻¹ in the top 30 cm.
  • For corn, SOC loss increased with residue removal: about 0.2% per 1% increase in removal, or 0.06–0.09 Mg C ha⁻¹ per 1% increase. A 10-year projection gave roughly 3 Mg C ha⁻¹ lost per 30 cm at 25% removal and about 8 Mg C ha⁻¹ at 100% removal.
  • Sugarcane conversion from native land showed an initial loss of about 22% or 20 Mg C ha⁻¹ to a median depth of 15 cm, with model projections up to about 50% near the surface or 34 Mg C ha⁻¹ in the top 30 cm; free-intercept accumulation was 0.29 Mg C ha⁻¹ yr⁻¹ and ANOVA-based accumulation was 0.51 Mg C ha⁻¹ yr⁻¹, with payback within a century but based on only five sites.
  • Miscanthus conversion from grassland averaged an 11% or 5.8 Mg C ha⁻¹ loss that was not statistically significant, and free-intercept accumulation averaged 1.0 Mg C ha⁻¹ yr⁻¹ versus 0.14 Mg C ha⁻¹ yr⁻¹ from forced-intercept calculations. Switchgrass percentage SOC increased by 1.8% yr⁻¹ and area-based SOC by about 0.4 Mg C ha⁻¹ yr⁻¹ in ANOVA models or 0.68 Mg C ha⁻¹ yr⁻¹ in forced-intercept models; mixed native sites had intercepts about 68% or 16 Mg C ha⁻¹ above controls and increased by about 1% yr⁻¹ or 0.1 Mg C ha⁻¹ yr⁻¹.

Methods

  • The authors searched ISI Web of Science in spring 2008 for studies of SOC change after crop establishment, requiring at least two known field ages including a control, total SOC measured after root removal by dry combustion or dichromate oxidation, and SOC reported by depth or area. They retained 46 studies with 164 site-treatment combinations.
  • They estimated SOC accumulation rates and land-conversion effects per site using forced-intercept and free-intercept linear regressions, comparing free intercepts with controls via one-sided t-tests. They also combined sites in ANOVA models (type III SS) for percentage SOC change and net SOC change as functions of age, log depth, biomass removal, and clay, with reduced models for some crops; influential points were removed using Cook’s D.
  • Bulk density was used to convert between concentration and area units, calculated with an Adams–Stewart adaptation when missing; clay content was estimated from texture descriptions when not reported.

Limitations

  • Stated: the analysis assumes controls are at steady state, so results describe change relative to continued control land use rather than absolute baseline behavior. SOC is spatially variable and hard to match between treatments and controls, and bulk-density shifts can bias area-based SOC changes, likely underestimating both losses and gains; for sugarcane this may mean underestimating both conversion loss and later accumulation.
  • Stated: the data come from studies with differing designs and substantial variation in sampling, prior land use, age, depth, management, soil type, and climate, so coefficients should be interpreted cautiously and direct numerical comparisons of accumulation rates among crops are inappropriate; side-by-side trials are needed. Some crops have limited data, such as Miscanthus, or poor representation of certain conditions, such as old corn residue sites and harvested mixed native systems.
  • Evident from the text: several key estimates rely on very small samples, including five sites for sugarcane and Miscanthus free-intercept calculations and seven for mixed native free-intercept calculations; switchgrass land-conversion effects could not be reliably assessed because only three sites had multiple ages and none exceeded 3 years.

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Integrity signals

Registry

Crossref · 10.1111/j.1757-1707.2008.01001.x

Cites

135 of 135 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

42 Own result · 23 No full text of the sources · 22 Own interpretation · 6 Not checked yet · 4 Sources not found · 4 Own method · 3 Supported so far · 2 No basis given · 1 Partly supported · 1 Not supported · accuracy not yet measured

Verify all 1 references — free account
  • It may state two separate claims as one. 40
  • Probably not a substantial claim. 9
46 of 46
  • The paper relies on this without support.

    Many studies have quantified changes in SOC under potential biofuel crops, but results are variable and have yet to be synthesized into a coherent picture.

    “While many studies have quantified changes in SOC under potential biofuel crops, results are variable and have yet to be synthesized into a coherent picture.”
  • The authors state this as an assumption.

    The free-intercept model's intercept difference from the control estimates the land conversion effect.

    “This model uses a regression of net change in SOC relative to the control as a function of time to calculate a SOC accumulation rate and an intercept, which differs from the control when there is a land conversion effect.”
  • The authors state this as an assumption.

    Controls are at steady-state with respect to SOC.

    “First, our analysis assumes that controls are at steady-state with respect to SOC (Fig. 1), which may not be true of some controls (e.g., fallows, young grasslands).”
3 of 3

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Citations

Cites

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Research works printed but not linked: 2

  1. Renewable Fuels Agency, 2008, The Gallagher Review of the Indirect Effects of Biofuels Production
  2. 10.1021/es048293 · DOI

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Metadata

Authors
ANDERSON‐TEIXEIRA, K. J., DAVIS, S. C., MASTERS, M. D., & DELUCIA, E. H.
Affiliations
University of Illinois Urbana-Champaign (US)
Venue
GCB Bioenergy
Publisher
Wiley
Published
2009-02
Volume
1
Issue
1
Pages
75-96
ISSN
  • 1757-1693 (ISSN-L)
  • 1757-1707
OpenAlex
W2000786281
Cited by
391
References
131
Citations by year
2026: 6 · 2025: 8 · 2024: 10 · 2023: 15 · 2022: 10 · 2021: 24 · 2020: 24 · 2019: 22 · 2018: 25 · 2017: 39 · 2016: 28 · 2015: 34 · 2014: 34 · 2013: 39 · 2012: 37
FWCI
40.77
Type
journal article
Language
en
Open access
Locations
GCB Bioenergy (publishedVersion)
Funders
  • Energy Biosciences Institute
  • University of Illinois at Urbana-Champaign
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil erosion and sediment transport
Keywords
soil organic carbon, energy crops, land conversion, carbon sequestration, sugarcane, Miscanthus × giganteus, switchgrass, restored prairie, perennial grasses, carbon cycle, life cycle assessment

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