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Farm-Scale Soil Carbon Auditing

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Pedometrics

Abstract

The soil system is recognized as a significant terrestrial sink of carbon. Estimates for the top meter of soil in the world range between 1,200 and 2,500 petagrams for organic C (Batjes 1996; Lal 2004). The reliable assessment and monitoring of soil carbon stocks is of key importance for soil conservation and in mitigation strategies for increased atmospheric carbon (Stockmann et al. 2013). Carbon credits are the heart of a cap-and-trade scheme, by offering a way to quantify carbon sequestered from the atmosphere; carbon credits gain a monetary value to offset a given amount of carbon dioxide releases (Paustian et al. 2009). The agricultural industry worldwide has the capacity to capture and store carbon emissions in soil (Paustian et al. 2000). However, there is still a debate on how soil can benefit for the offsets in the carbon economy because there is no good and efficient way of measuring soil carbon storage with appropriate statistical confidence (Post et al. 2001; Smith 2004b). A scheme that can measure and monitor soil carbon storage on a farm, which is crucial to the participation of the agricultural sector in the carbon economy, is essential.

“You have been weighed,you have been measured, and you have been found wanting”. Adhemar (A Knights Tale, 2001)

This chapter is a reprint from an original paper published in the journal: Geoderma. Changes from the original article include its formatting, and the addition of cross-references to other chapters of this book and some minor textural changes. Citation of the original paper: de Gruijter, J., McBratney, A.B., Minasny, B., Wheeler, I., Malone, B., Stockmann, U., 2016. Farm-scale soil carbon auditing. Geoderma 265, 120–130.

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References

  • Allen DE, Pringle MJ, Page KL, Dalal RC (2010) A review of sampling designs for the measurement of soil organic carbon in Australian grazing lands. Rangel J 32:227–246

    Article  Google Scholar 

  • Batjes NH (1996) Total carbon and nitrogen in the soils of the world. Eur J Soil Sci 47:151–163

    Article  Google Scholar 

  • Beckett PHT, Burrough PA (1971) The relation between cost and utility in soil survey. IV. Comparison of the utilities of soil maps produced by different survey procedures, and to different scales. J Soil Sci 22:466–480

    Article  Google Scholar 

  • Bellon-Maurel V, McBratney AB (2011) Near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for assessing the amount of carbon stock in soils – critical review and research perspectives. Soil Biol Biochem 43:1398–1410

    Article  Google Scholar 

  • Bie SW, Ulph A (1972) The economic value of soil survey information. J Agric Econ 23:285–297

    Article  Google Scholar 

  • Bowman RA, Reeder JD, Wienhold BJ (2002) Quantifying laboratory and field variability to assess potential for carbon sequestration. Commun Soil Sci Plant Anal 33:1629–1642

    Article  Google Scholar 

  • Brus DJ, de Gruijter JJ (1997) Random sampling or geostatistical modelling? Choosing between design-based and model-based sampling strategies for soil (with Discussion). Geoderma 80:1–44

    Article  Google Scholar 

  • Brus DJ, de Gruijter JJ (2013) Effects of spatial pattern persistence on the performance of sampling designs for regional trend monitoring analyzed by simulation of space–time fields. Comput Geosci 61:175–183

    Article  Google Scholar 

  • Brus DJ, Noij IGAM (2008) Designing sampling schemes for effect monitoring of nutrient leaching from agricultural soils. Eur J Soil Sci 59:292–303

    Article  Google Scholar 

  • Chappell A, Baldock J, Viscarra Rossel R (2013) Sampling soil organic carbon to detect change over time. CSIRO Australia

    Google Scholar 

  • Cochran W (1977) Sampling techniques. Wiley, New York

    Google Scholar 

  • Conant RT, Paustian K (2002) Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales. Environ Pollut 116:S127–S135

    Article  Google Scholar 

  • Cremers DA, Ebinger MH, Breshears DD, Unkefer PJ, Kammerdiener SA, Ferris MJ, Catlett KM, Brown JR (2001) Measuring total soil carbon with laser-induced breakdown spectroscopy (LIBS). J Environ Qual 30:2202–2206

    Article  Google Scholar 

  • Dalal RC, Chan KY (2001) Soil organic matter in rainfed cropping systems of the Australian cereal belt. Aust J Soil Res 9:435–464

    Google Scholar 

  • Dalenius T, Hodges JL (1959) Minimum variance stratification. J Am Stat Assoc 54:88–101

    Article  Google Scholar 

  • de Gruijter JJ, Brus DJ, Bierkens MFP, Knotters M (2006) Sampling for natural resource monitoring. Springer, Berlin

    Google Scholar 

  • de Gruijter JJ, Minasny B, McBratney AB (2015) Optimizing stratification and allocation for design-based estimation of spatial means using predictions with error. J Surv Stat Methodol 3:19–42

    Google Scholar 

  • Denis A, Stevens A, van Wesemael B, Udelhoven T, Tychon B (2014) Soil organic carbon assessment by field and airborne spectrometry in bare croplands: accounting for soil surface roughness. Geoderma 226–227:94–102

    Article  Google Scholar 

  • Garten CT Jr, Wullschleger SD (1999) Soil carbon inventories under a bioenergy crop (Switchgrass): measurement limitations. J Environ Qual 28:1359–1365

    Article  Google Scholar 

  • Ge Y, Morgan CLS, Ackerson JP (2014) VisNIR spectra of dried ground soils predict properties of soils scanned moist and intact. Geoderma 213:61–69

    Article  Google Scholar 

  • Giasson E, van Es C, van Wambeke A, Bryant RB (2000) Assessing the economic value of soil information using decision analysis techniques. Soil Sci 165:971–978

    Article  Google Scholar 

  • Gomez C, Viscarra Rossel RA, McBratney AB (2008) Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: an Australian case study. Geoderma 146:403–411

    Article  Google Scholar 

  • Grundy MJ, Viscarra Rossel RA, Searle RD, Wilson PL, Chen C, Gregory LJ (2015) Soil and landscape grid of Australia. Soil Res 53:835–844

    Article  Google Scholar 

  • Gunning P, Horgan JM (2004) A simple algorithm for stratifying skewed populations. Surv Methodol 30:159–185

    Google Scholar 

  • Jandl R, Rodeghiero M, Martinez C, Cotrufo MF, Bampa F, van Wesemael B, Harrison RB, Guerrini IA, Richter DD, Rustad L, Lorenz K, Chabbi A, Miglietta F (2013) Current status, uncertainty and future needs in soil organic carbon monitoring. Sci Total Environ 468–469:376–383

    Article  Google Scholar 

  • Kidd D, Webb M, Malone B, Minasny B, McBratney A (2015) Eighty-metre resolution 3D soil-attribute maps for Tasmania, Australia. Soil Res 53:932–955

    Article  Google Scholar 

  • Knotters M, Vroon H, van Kekem A, Hoogland T (2010) Deciding on the detail of soil survey in estimating crop yield reduction due to groundwater withdrawal. In: Devillers R, Goodchild H (eds) Spatial data quality: from process to decisions. CRC Press/Taylor Francis Group, Boca Raton, pp 117–125

    Chapter  Google Scholar 

  • Lal R (2004) Soil carbon sequestration impacts on global climate change and food security. Science 304:1623–1627

    Article  Google Scholar 

  • Lark RM (2009) Estimating the regional mean status and change of soil properties: two distinct objectives for soil survey. Eur J Soil Sci 60:748–756

    Article  Google Scholar 

  • Lark RM (2012) Some considerations on aggregate sample supports for soil inventory and monitoring. Eur J Soil Sci 63:86–95

    Article  Google Scholar 

  • Lavallee P, Hidiroglou M (1988) On the stratification of skewed populations. Surv Methodol 14:33–43

    Google Scholar 

  • Liddicoat C, Maschmedt D, Clifford D, Searle R, Herrmann T, Macdonald LM, Baldock J (2015) Predictive mapping of soil organic carbon stocks in South Australia’s agricultural zone. Soil Res 53:956–973

    Article  Google Scholar 

  • Luo Z, Wang E, Sun OJ (2010) Soil carbon change and its responses to agricultural practices in Australian agro-ecosystems: a review and synthesis. Geoderma 155:211–223

    Article  Google Scholar 

  • McBratney AB, de Gruijter JJ (1992) A continuum approach to soil classification by modified fuzzy k-means with extragrades. J Soil Sci 43:159–175

    Article  Google Scholar 

  • McBratney AB, Minasny B, de Gruijter JJ, Mulvey PJ (2011) A method of quantifying soil carbon. Australian Patent 20112651179

    Google Scholar 

  • McKenzie N, Ryan P, Fogarty P, Wood J (2000) Sampling, measurement and analytical protocols for carbon estimation in soil, litter and coarse woody debris. National carbon accounting system technical report 14, Australian Greenhouse Office, Canberra

    Google Scholar 

  • Miklos M, Short MG, McBratney AB, Minasny B (2010) Mapping and comparing the distribution of soil carbon under cropping and grazing management practices in Narrabri, North-West New South Wales. Aust J Soil Res 48:248–257

    Article  Google Scholar 

  • Morgan MG, Henrion M, Small M (1990) Uncertainty: a guide to dealing with uncertainty in quantitative risk and policy analysis. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Pallasser R, Minasny B, McBratney AB (2015) Carbon determination system for whole soil cores. Commun Soil Sci Plant Anal 46:221–234

    Article  Google Scholar 

  • Paustian K, Six J, Elliott ET, Hunt HW (2000) Management options for reducing CO2 emissions from agricultural soils. Biogeochemistry 48:147–163

    Article  Google Scholar 

  • Paustian K, Brenner J, Easter M, Killian K, Ogle S, Olson C, Schuler J, Vining R, Williams S (2009) Counting carbon on the farm: reaping the benefits of carbon offset programs. J Soil Water Conserv 64:36A–40A

    Article  Google Scholar 

  • Post WM, Izaurralde RC, Mann LK, Bliss N (2001) Monitoring and verifying changes of organic carbon in soil. Clim Chang 51:73–99

    Article  Google Scholar 

  • Rabotyagov SS (2010) Ecosystem services under benefit and cost uncertainty: an application to soil carbon sequestration. Land Econ 86:668–686

    Article  Google Scholar 

  • Rosenberg NJ, Izaurralde RC (2001) Storing carbon in agricultural soils to help head-off a global warming: guest editorial. Clim Chang 51:1–10

    Article  Google Scholar 

  • Saby NPA, Bellamy PH, Morvan X, Arrouays D, Jones RJA, Verheijen FGA, Kibblewhite MG, Verdoodt A, Üveges JB, Freudenschuß A, Simota C (2008) Will European soil-monitoring networks be able to detect changes in topsoil organic carbon content? Glob Chang Biol 14:2432–2442

    Article  Google Scholar 

  • Simbahan GC, Dobermann A, Goovaerts P, Ping J, Haddix ML (2006) Fine-resolution mapping of soil organic carbon based on multivariate secondary data. Geoderma 132:471–489

    Article  Google Scholar 

  • Singh K, Murphy BW, Marchant BP (2012) Towards cost-effective estimation of soil carbon stocks at the field scale. Soil Res 50:672–684

    Article  Google Scholar 

  • Smith P (2004a) How long before a change in soil organic carbon can be detected? Glob Chang Biol 10:1878–1883

    Article  Google Scholar 

  • Smith P (2004b) Monitoring and verification of soil carbon changes under Article 3.4 of the Kyoto Protocol. Soil Use Manag 20:264–270

    Article  Google Scholar 

  • Stevens A, Udelhoven T, Denis A, Tychon B, Lioy R, Hoffmann L, van Wesemael B (2010) Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy. Geoderma 158:32–45

    Article  Google Scholar 

  • Stockmann U, Adams MA, Crawford JW, Field DJ, Henakaarchchi N, Jenkins M, Minasny B, McBratney AB, Courcelles VDRD, Singh K, Wheeler I, Abbott L, Angers DA, Baldock J, Bird M, Brookes PC, Chenu C, Jastrow JD, Lal R, Lehmann J, O’Donnell AG, Parton WJ, Whitehead D, Zimmermann M (2013) The knowns, known unknowns and unknowns of sequestration of soil organic carbon. Agric Ecosyst Environ 164:80–99

    Article  Google Scholar 

  • Wendt JW, Hauser S (2013) An equivalent soil mass procedure for monitoring soil organic carbon in multiple soil layers. Eur J Soil Sci 64:58–65

    Article  Google Scholar 

  • Wheeler I (2014) Monitoring total soil organic carbon at farm scale. PhD thesis, The University of Sydney

    Google Scholar 

  • Wheeler I, McBratney AB, Minasny B, de Gruijter JJ (2012) Digital soil mapping to inform design-based sampling strategies for estimating total organic carbon stocks at the farm scale. In: Digital soil assessments and beyond – proceedings of the fifth global workshop on digital soil mapping, Sydney, pp 257–262

    Google Scholar 

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Acknowledgements

We acknowledge the support of the Australian Research Council via Linkage Project LP0989825 entitled “The auditability of soil carbon.” We thank our linkage partners 3DAg Pty Ltd. for their continued support. Two anonymous reviewers gave helpful suggestions.

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Correspondence to Jaap J. de Gruijter .

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de Gruijter, J.J., McBratney, A.B., Minasny, B., Wheeler, I., Malone, B.P., Stockmann, U. (2018). Farm-Scale Soil Carbon Auditing. In: McBratney, A., Minasny, B., Stockmann, U. (eds) Pedometrics. Progress in Soil Science. Springer, Cham. https://doi.org/10.1007/978-3-319-63439-5_23

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