Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings

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Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings. / Paul, Keryn I.; England, Jacqueline R.; Baker, Thomas G.; Cunningham, Shaun C.; Perring, Michael P.; Polglase, Phil J.; Wilson, Brian; Cavagnaro, Timothy R.; Lewis, Tom; Read, Zoe; Madhavan, Dinesh B.; Herrmann, Tim.

In: Science of the Total Environment, Vol. 615, 15.02.2018, p. 348-359.

Research output: Contribution to journalArticle

Harvard

Paul, KI, England, JR, Baker, TG, Cunningham, SC, Perring, MP, Polglase, PJ, Wilson, B, Cavagnaro, TR, Lewis, T, Read, Z, Madhavan, DB & Herrmann, T 2018, 'Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings' Science of the Total Environment, vol 615, pp. 348-359. DOI: 10.1016/j.scitotenv.2017.09.263

APA

Paul, K. I., England, J. R., Baker, T. G., Cunningham, S. C., Perring, M. P., Polglase, P. J., ... Herrmann, T. (2018). Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings. Science of the Total Environment, 615, 348-359. DOI: 10.1016/j.scitotenv.2017.09.263

Vancouver

Paul KI, England JR, Baker TG, Cunningham SC, Perring MP, Polglase PJ et al. Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings. Science of the Total Environment. 2018 Feb 15;615:348-359. Available from, DOI: 10.1016/j.scitotenv.2017.09.263

Author

Paul, Keryn I.; England, Jacqueline R.; Baker, Thomas G.; Cunningham, Shaun C.; Perring, Michael P.; Polglase, Phil J.; Wilson, Brian; Cavagnaro, Timothy R.; Lewis, Tom; Read, Zoe; Madhavan, Dinesh B.; Herrmann, Tim / Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings.

In: Science of the Total Environment, Vol. 615, 15.02.2018, p. 348-359.

Research output: Contribution to journalArticle

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@article{c9c47738af9f4da5ba8ecf5baf0e78aa,
title = "Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings",
abstract = "Reforestation of agricultural land with mixed-species environmental plantings of native trees and shrubs contributes to abatement of greenhouse gas emissions through sequestration of carbon, and to landscape remediation and biodiversity enhancement. Although accumulation of carbon in biomass is relatively well understood, less is known about associated changes in soil organic carbon (SOC) following different types of reforestation. Direct measurement of SOC may not be cost effective where rates of SOC sequestration are relatively small and/or highly spatially-variable, thereby requiring intensive sampling. Hence, our objective was to develop a verified modelling approach for determining changes in SOC to facilitate the inclusion of SOC in the carbon accounts of reforestation projects. We measured carbon stocks of biomass, litter and SOC (0–30 cm) in 125 environmental plantings (often paired to adjacent agricultural sites), representing sites of varying productivity across the Australian continent. After constraining a carbon accounting model to observed measures of growth, allocation of biomass, and rates of litterfall and litter decomposition, the model was calibrated to maximise the efficiency of prediction of SOC and its fractions. Uncertainties in both measured and modelled results meant that efficiencies of prediction of SOC across the 125 contrasting plantings were only moderate, at 39–68%. Data-informed modelling nonetheless improved confidence in outputs from scenario analyses, confirming that: (i) reforestation on agricultural land highly depleted in SOC (i.e. previously under cropping) had the highest capacity to sequester SOC, particularly where rainfall was relatively high (> 600 mm year− 1), and; (ii) decreased planting width and increased stand density and the proportion of eucalypts enhanced rates of SOC sequestration. These results improve confidence in predictions of SOC following environmental reforestation under varying conditions. The calibrated model will be a useful tool for informing land managers and policy makers seeking to understand the dynamics of SOC following such reforestation.",
keywords = "Biomass, Decomposition, FullCAM, Litter, Reforestation, RothC",
author = "Paul, {Keryn I.} and England, {Jacqueline R.} and Baker, {Thomas G.} and Cunningham, {Shaun C.} and Perring, {Michael P.} and Polglase, {Phil J.} and Brian Wilson and Cavagnaro, {Timothy R.} and Tom Lewis and Zoe Read and Madhavan, {Dinesh B.} and Tim Herrmann",
year = "2018",
month = "2",
doi = "10.1016/j.scitotenv.2017.09.263",
volume = "615",
pages = "348--359",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

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TY - JOUR

T1 - Using measured stocks of biomass and litter carbon to constrain modelled estimates of sequestration of soil organic carbon under contrasting mixed-species environmental plantings

AU - Paul,Keryn I.

AU - England,Jacqueline R.

AU - Baker,Thomas G.

AU - Cunningham,Shaun C.

AU - Perring,Michael P.

AU - Polglase,Phil J.

AU - Wilson,Brian

AU - Cavagnaro,Timothy R.

AU - Lewis,Tom

AU - Read,Zoe

AU - Madhavan,Dinesh B.

AU - Herrmann,Tim

PY - 2018/2/15

Y1 - 2018/2/15

N2 - Reforestation of agricultural land with mixed-species environmental plantings of native trees and shrubs contributes to abatement of greenhouse gas emissions through sequestration of carbon, and to landscape remediation and biodiversity enhancement. Although accumulation of carbon in biomass is relatively well understood, less is known about associated changes in soil organic carbon (SOC) following different types of reforestation. Direct measurement of SOC may not be cost effective where rates of SOC sequestration are relatively small and/or highly spatially-variable, thereby requiring intensive sampling. Hence, our objective was to develop a verified modelling approach for determining changes in SOC to facilitate the inclusion of SOC in the carbon accounts of reforestation projects. We measured carbon stocks of biomass, litter and SOC (0–30 cm) in 125 environmental plantings (often paired to adjacent agricultural sites), representing sites of varying productivity across the Australian continent. After constraining a carbon accounting model to observed measures of growth, allocation of biomass, and rates of litterfall and litter decomposition, the model was calibrated to maximise the efficiency of prediction of SOC and its fractions. Uncertainties in both measured and modelled results meant that efficiencies of prediction of SOC across the 125 contrasting plantings were only moderate, at 39–68%. Data-informed modelling nonetheless improved confidence in outputs from scenario analyses, confirming that: (i) reforestation on agricultural land highly depleted in SOC (i.e. previously under cropping) had the highest capacity to sequester SOC, particularly where rainfall was relatively high (> 600 mm year− 1), and; (ii) decreased planting width and increased stand density and the proportion of eucalypts enhanced rates of SOC sequestration. These results improve confidence in predictions of SOC following environmental reforestation under varying conditions. The calibrated model will be a useful tool for informing land managers and policy makers seeking to understand the dynamics of SOC following such reforestation.

AB - Reforestation of agricultural land with mixed-species environmental plantings of native trees and shrubs contributes to abatement of greenhouse gas emissions through sequestration of carbon, and to landscape remediation and biodiversity enhancement. Although accumulation of carbon in biomass is relatively well understood, less is known about associated changes in soil organic carbon (SOC) following different types of reforestation. Direct measurement of SOC may not be cost effective where rates of SOC sequestration are relatively small and/or highly spatially-variable, thereby requiring intensive sampling. Hence, our objective was to develop a verified modelling approach for determining changes in SOC to facilitate the inclusion of SOC in the carbon accounts of reforestation projects. We measured carbon stocks of biomass, litter and SOC (0–30 cm) in 125 environmental plantings (often paired to adjacent agricultural sites), representing sites of varying productivity across the Australian continent. After constraining a carbon accounting model to observed measures of growth, allocation of biomass, and rates of litterfall and litter decomposition, the model was calibrated to maximise the efficiency of prediction of SOC and its fractions. Uncertainties in both measured and modelled results meant that efficiencies of prediction of SOC across the 125 contrasting plantings were only moderate, at 39–68%. Data-informed modelling nonetheless improved confidence in outputs from scenario analyses, confirming that: (i) reforestation on agricultural land highly depleted in SOC (i.e. previously under cropping) had the highest capacity to sequester SOC, particularly where rainfall was relatively high (> 600 mm year− 1), and; (ii) decreased planting width and increased stand density and the proportion of eucalypts enhanced rates of SOC sequestration. These results improve confidence in predictions of SOC following environmental reforestation under varying conditions. The calibrated model will be a useful tool for informing land managers and policy makers seeking to understand the dynamics of SOC following such reforestation.

KW - Biomass

KW - Decomposition

KW - FullCAM

KW - Litter

KW - Reforestation

KW - RothC

UR - http://www.scopus.com/inward/record.url?scp=85030326390&partnerID=8YFLogxK

U2 - 10.1016/j.scitotenv.2017.09.263

DO - 10.1016/j.scitotenv.2017.09.263

M3 - Article

VL - 615

SP - 348

EP - 359

JO - Science of the Total Environment

T2 - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -

ID: 21479193