Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia

Ecological Indicators

Volumn 88, Issue , 2018, Pages 425-438

  Wang, Bin ^a   Waters, Cathy ^b   Orgill, Susan ^a   Cowie, Annette ^c   Clark, Anthony ^b   Li Liu, De ^a   Simpson, Marja ^b   McGowen, Ian ^b   Sides, Tim ^a  

^a NSW DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^b NSW DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^c NSW DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

Author keywords

Genetic algorithm; Land fractional cover data; Machine learning; Remote sensing; Soil organic carbon stocks; Stepwise regression

Indexed keywords

BENCHMARKING; CLIMATE CHANGE; DECISION TREES; FEATURE EXTRACTION; FORECASTING; FORESTRY; LEARNING ALGORITHMS; MEAN SQUARE ERROR; OPTICAL PROPERTIES; ORGANIC CARBON; REGRESSION ANALYSIS; REMOTE SENSING; SOILS; TOPOGRAPHY;

BOOSTED REGRESSION TREES; FRACTIONAL COVER; LAND FRACTIONAL COVER DATA; MACHINE-LEARNING; MODELLING TECHNIQUES; RANDOM FORESTS; REMOTE-SENSING; SEMI-ARID RANGELAND; SOIL ORGANIC CARBON STOCKS; STEPWISE REGRESSION;

GENETIC ALGORITHMS;

CARBON CYCLE; CARBON SEQUESTRATION; CLIMATE CHANGE; DATA SET; DETECTION METHOD; ECOLOGICAL MODELING; GENETIC ALGORITHM; MACHINE LEARNING; ORGANIC CARBON; RANGELAND; REGRESSION ANALYSIS; REMOTE SENSING; SEMIARID REGION; SOIL CARBON;

AUSTRALIA;

EID: 85041430307     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2018.01.049     Document Type: Article

References (80)

1. Adhikari, K., Hartemink, A.E., Minasny, B., Bou Kheir, R., Greve, M.B., Greve, M.H., Digital mapping of soil organic carbon contents and stocks in denmark. PLOS ONE, 9, 2014, e105519.
2. Aertsen, W., Kint, V., van Orshoven, J., Özkan, K., Muys, B., Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests. Ecol. Model. 221 (2010), 1119–1130.
3. Akpa, S.I.C., Odeh, I.O.A., Bishop, T.F.A., Hartemink, A.E., Amapu, I.Y., Total soil organic carbon and carbon sequestration potential in Nigeria. Geoderma 271 (2016), 202–215.
4. Allen, D.E., Pringle, M.J., Bray, S., Hall, T.J., O'Reagain, P.O., Phelps, D., Cobon, D.H., Bloesch, P.M., Dalal, R.C., What determines soil organic carbon stocks in the grazing lands of north-eastern Australia?. Soil Res. 51 (2013), 695–706.
5. Badgery, W.B., Simmons, A.T., Murphy, B.M., Rawson, A., Andersson, K.O., Lonergan, V.E., van de Ven, R., Relationship between environmental and land-use variables on soil carbon levels at the regional scale in central New South Wales, Australia. Soil Res. 51 (2013), 645–656.
6. Badgery, W.B., Simmons, A.T., Murphy, B.W., Rawson, A., Andersson, K.O., Lonergan, V.E., The influence of land use and management on soil carbon levels for crop-pasture systems in Central New South Wales, Australia. Agric. Ecosyst. Environ. 196 (2014), 147–157.
7. Behrens, T., Zhu, A.X., Schmidt, K., Scholten, T., Multi-scale digital terrain analysis and feature selection for digital soil mapping. Geoderma 155 (2010), 175–185.
8. Bonfatti, B.R., Hartemink, A.E., Giasson, E., Tornquist, C.G., Adhikari, K., Digital mapping of soil carbon in a viticultural region of Southern Brazil. Geoderma 261 (2016), 204–221.
9. Bou Kheir, R., Greve, M.H., Bøcher, P.K., Greve, M.B., Larsen, R., McCloy, K., Predictive mapping of soil organic carbon in wet cultivated lands using classification-tree based models: the case study of Denmark. J. Environ. Manage. 91 (2010), 1150–1160.
10. Breiman, L., Random forests. Mach. Learn. 45 (2001), 5–32.
11. Chan, K.Y., McCoy, D., Soil carbon storage under perennial pastures in the mid-north coast of New South Wales, Australia. Trop. Grassl. J. 44 (2010), 184–191.
12. Chan, K.Y., Oates, A., Li, G.D., Conyers, M.K., Prangnell, R.J., Poile, G., Liu, D.L., Barchia, I.M., Soil carbon stocks under different pastures and pasture management in the higher rainfall areas of south-eastern Australia. Soil Res. 48 (2010), 7–15.
13. J.H. Dane C.G. Topp 2002. Methods of Soil Analysis: Part 4 Physical Methods, Agronomy no. 9 Soil Science Society of America Madison, WI, United States of America.
14. Davy, M.C., Koen, T.B., Variations in soil organic carbon for two soil types and six land uses in the Murray Catchment, New South Wales, Australia. Soil Res. 51 (2013), 631–644.
15. Elith, J., Leathwick, J.R., Hastie, T., A working guide to boosted regression trees. J. Anim. Ecol. 77 (2008), 802–813.
16. Everingham, Y., Sexton, J., Skocaj, D., Inman-Bamber, G., Accurate prediction of sugarcane yield using a random forest algorithm. Agron. Sust. Dev. 36 (2016), 1–9.
17. Facelli, J.M., Pickett, S.T.A., Plant litter: its dynamics and effects on plant community structure. Botan. Rev. 57 (1991), 1–32.
18. Gallant, J., Austin, J., 2012. Prescott Index Derived from 1″ SRTM DEM-s. V2, CSIRO. Data Collection. doi: 10.4225/08/53EB2D0EAE377.
19. Gasparri, N.I., Parmuchi, M.G., Bono, J., Karszenbaum, H., Montenegro, C.L., Assessing multi-temporal Landsat 7 ETM+ images for estimating above-ground biomass in subtropical dry forests of Argentina. J. Arid. Environ. 74 (2010), 1262–1270.
20. Gray, J.M., Bishop, T.F.A., Wilson, B.R., Factors controlling soil organic carbon stocks with depth in eastern australia. Soil Sci. Soc. Am. J. 79 (2015), 1741–1751.
21. Guo, P.-T., Li, M.-F., Luo, W., Tang, Q.-F., Liu, Z.-W., Lin, Z.-M., Digital mapping of soil organic matter for rubber plantation at regional scale: an application of random forest plus residuals kriging approach. Geoderma 237–238 (2015), 49–59.
22. Hengl, T., Heuvelink, G.B.M., Kempen, B., Leenaars, J.G.B., Walsh, M.G., Shepherd, K.D., Sila, A., MacMillan, R.A., Mendes de Jesus, J., Tamene, L., Tondoh, J.E., Mapping soil properties of africa at 250 m resolution: random forests significantly improve current predictions. PLOS ONE, 10, 2015, e0125814.
23. Heung, B., Bulmer, C.E., Schmidt, M.G., Predictive soil parent material mapping at a regional-scale: a random forest approach. Geoderma 214–215 (2014), 141–154.
24. Hobley, E., Wilson, B., Wilkie, A., Gray, J.M., Koen, T., Drivers of soil organic carbon storage and vertical distribution in Eastern Australia. Plant Soil 390 (2015), 111–127.
25. Huang, C.-L., Wang, C.-J., A GA-based feature selection and parameters optimizationfor support vector machines. Exp. Syst. Appl. 31 (2006), 231–240.
26. Huang, C., Townshend, J.R.G., A stepwise regression tree for nonlinear approximation: applications to estimating subpixel land cover. Int. J. Rem. Sens. 24 (2003), 75–90.
27. IUSS-Working-Group, WRB, 2015. World Reference Base for Soil Resources 2014, update 2015. International soil classification system for naming soils and creating legends for soil maps. World Soil Resources Reports No. 106. FAO, Rome.
28. Jeffrey, S.J., Carter, J.O., Moodie, K.B., Beswick, A.R., Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ. Modell. Softw. 16 (2001), 309–330.
29. Keating, B., Grundy, M., Battaglia, M., Eady, S., 2009. An analysis of greenhouse gas mitigation and carbon biosequestration opportunities from rural land use. St Lucia, QLD: CSIRO; 2009. changeme:822. doi: 10.4225/08/58615c9dd6942.
30. Kuang, B., Tekin, Y., Mouazen, A.M., 2015. Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content. Soil and Tillage Research 146, Part B, 243–252.
31. Kuhn, M., 2008. Building Predictive Models in R Using the caret Package. 2008 28, 26.
32. Kumar, S., Lal, R., Liu, D., A geographically weighted regression kriging approach for mapping soil organic carbon stock. Geoderma 189–190 (2012), 627–634.
33. Kunkel, M.L., Flores, A.N., Smith, T.J., McNamara, J.P., Benner, S.G., A simplified approach for estimating soil carbon and nitrogen stocks in semi-arid complex terrain. Geoderma 165 (2011), 1–11.
34. Ließ, M., Glaser, B., Huwe, B., Uncertainty in the spatial prediction of soil texture: comparison of regression tree and Random Forest models. Geoderma 170 (2012), 70–79.
35. Ließ, M., Schmidt, J., Glaser, B., Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches. PLOS ONE, 11, 2016, e0153673.
36. Lima, A.R., Cannon, A.J., Hsieh, W.W., Forecasting daily streamflow using online sequential extreme learning machines. J. Hydrol. 537 (2016), 431–443.
37. Maynard, J.J., Levi, M.R., Hyper-temporal remote sensing for digital soil mapping: characterizing soil-vegetation response to climatic variability. Geoderma 285 (2017), 94–109.
38. Miller, B.A., Koszinski, S., Wehrhan, M., Sommer, M., Impact of multi-scale predictor selection for modeling soil properties. Geoderma 239–240 (2015), 97–106.
39. Minasny, B., McBratney, A.B., Malone, B.P., Wheeler, I., Chapter one – digital mapping of soil carbon. Donald, L.S., (eds.) Advances in Agronomy, 2013, Academic Press, 1–47.
40. Mouazen, A.M., Kuang, B., De Baerdemaeker, J., Ramon, H., Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy. Geoderma 158 (2010), 23–31.
41. Muir, J., Schmidt, M., Tindall, D., Trevithick, R., Scarth, P., Stewart, J., 2011. Guidelines for Field measurement of fractional ground cover: a technical handbook supporting the Australian collaborative land use and management program. Tech. rep., Queensland Department of Environment and Resource Management for the Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra.
42. Oliveira, S., Oehler, F., San-Miguel-Ayanz, J., Camia, A., Pereira, J.M.C., Modeling spatial patterns of fire occurrence in mediterranean europe using multiple regression and random forest. For. Ecol. Manage. 275 (2012), 117–129.
43. Orgill, S.E., Condon, J.R., Kirkby, C.A., Orchard, B.A., Conyers, M.K., Greene, R.S.B., Murphy, B.W., Soil with high organic carbon concentration continues to sequester carbon with increasing carbon inputs. Geoderma 285 (2017), 151–163.
44. Orgill, S.E., Waters, C.M., Melville, G., Toole, I., Alemseged, Y., Smith, W., Sensitivity of soil organic carbon to grazing management in the semi-arid rangelands of south-eastern Australia. Rangeland J. 39 (2017), 153–167.
45. Ottoy, S., De Vos, B., Sindayihebura, A., Hermy, M., Van Orshoven, J., Assessing soil organic carbon stocks under current and potential forest cover using digital soil mapping and spatial generalisation. Ecol. Ind. 77 (2017), 139–150.
46. Page, K.L., Dalal, R.C., Pringle, M.J., Bell, M., Dang, Y.P., Radford, B., Bailey, K., Organic carbon stocks in cropping soils of Queensland, Australia, as affected by tillage management, climate, and soil characteristics. Soil Res. 51 (2013), 596–607.
47. Poggio, L., Gimona, A., Brewer, M.J., Regional scale mapping of soil properties and their uncertainty with a large number of satellite-derived covariates. Geoderma 209–210 (2013), 1–14.
48. Rabbi, S.M.F., Tighe, M., Cowie, A., Wilson, B.R., Schwenke, G., McLeod, M., Badgery, W., Baldock, J., The relationships between land uses, soil management practices, and soil carbon fractions in South Eastern Australia. Agric. Ecosyst. Environ. 197 (2014), 41–52.
49. Rabbi, S.M.F., Tighe, M., Delgado-Baquerizo, M., Cowie, A., Robertson, F., Dalal, R., Page, K., Crawford, D., Wilson, B.R., Schwenke, G., McLeod, M., Badgery, W., Dang, Y.P., Bell, M., O'Leary, G., Liu, D.L., Baldock, J., Climate and soil properties limit the positive effects of land use reversion on carbon storage in Eastern Australia. Sci. Rep., 5, 2015, 17866.
50. Rayment, G.E., Lyons, D., Soil Chemical Methods-Australasia. 2011, CSIRO Publishing, Collingwood, Victoria Australia.
51. Razakamanarivo, R.H., Grinand, C., Razafindrakoto, M.A., Bernoux, M., Albrecht, A., Mapping organic carbon stocks in eucalyptus plantations of the central highlands of Madagascar: A multiple regression approach. Geoderma 162 (2011), 335–346.
52. Robertson, F., Crawford, D., Partington, D., Oliver, I., Rees, D., Aumann, C., Armstrong, R., Perris, R., Davey, M., Moodie, M., Baldock, J., Soil organic carbon in cropping and pasture systems of Victoria, Australia. Soil Res. 54 (2016), 64–77.
53. Rodriguez-Galiano, V., Sanchez-Castillo, M., Chica-Olmo, M., Chica-Rivas, M., Machine learning predictive models for mineral prospectivity: an evaluation of neural networks, random forest, regression trees and support vector machines. Ore Geol. Rev. 71 (2015), 804–818.
54. Rodriguez-Galiano, V.F., Chica-Olmo, M., Abarca-Hernandez, F., Atkinson, P.M., Jeganathan, C., Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture. Rem. Sens. Environ. 121 (2012), 93–107.
55. Román-Sánchez, A., Vanwalleghem, T., Peña, A., Laguna, A., Giráldez, J.V., Controls on soil carbon storage from topography and vegetation in a rocky, semi-arid landscapes. Geoderma, 2016.
56. Sankey, T.T., Weber, K., 2009. Rangeland Assessments Using Remote Sensing: Is NDVI Useful? Pages 113-122 in K.T. Weber and K. Davis (Eds.), Final Report: Comparing Effects of Management Practices on Rangeland Health with Geospatial Technologies (NNX06AE47G). 168 pp.
57. Schillaci, C., Acutis, M., Lombardo, L., Lipani, A., Fantappiè, M., Märker, M., Saia, S., Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: the role of land use, soil texture, topographic indices and the influence of remote sensing data to modelling. Sci. Total Environ. 601–602 (2017), 821–832.
58. Schuman, G.E., Janzen, H.H., Herrick, J.E., Soil carbon dynamics and potential carbon sequestration by rangelands. Environ. Pollut. 116 (2002), 391–396.
59. Schwenke, G.D., McLeod, M.K., Murphy, S.R., Harden, S., Cowie, A.L., Lonergan, V.E., The potential for sown tropical perennial grass pastures to improve soil organic carbon in the North-West Slopes and Plains of New South Wales. Soil Res. 51 (2013), 726–737.
60. Sharafatmandrad, M., Mesdaghi, M., Bahremand, A., Barani, H., The role of litter in rainfall interception and maintenance of superficial soil water content in an arid rangeland in Khabr National Park in south-eastern Iran. Arid Land Res. Manage. 24 (2010), 213–222.
61. Six, J., Conant, R.T., Paul, E.A., Paustian, K., Stabilization mechanisms of soil organic matter: Implications for C-saturation of soils. Plant Soil 241 (2002), 155–176.
62. Sreenivas, K., Dadhwal, V.K., Kumar, S., Harsha, G.S., Mitran, T., Sujatha, G., Suresh, G.J.R., Fyzee, M.A., Ravisankar, T., Digital mapping of soil organic and inorganic carbon status in India. Geoderma 269 (2016), 160–173.
63. Stewart, C., Paustian, K., Conant, R., Plante, A., Six, J., Soil carbon saturation: concept, evidence and evaluation. Biogeochemistry 86 (2007), 19–31.
64. Taghizadeh-Mehrjardi, R., Nabiollahi, K., Kerry, R., Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region. Iran. Geoderma 266 (2016), 98–110.
65. Takata, Y., Funakawa, S., Akshalov, K., Ishida, N., Kosaki, T., Spatial prediction of soil organic matter in northern Kazakhstan based on topographic and vegetation information. Soil Sci. Plant Nutrit. 53 (2007), 289–299.
66. Thompson, J.A., Pena-Yewtukhiw, E.M., Grove, J.H., Soil–landscape modeling across a physiographic region: Topographic patterns and model transportability. Geoderma 133 (2006), 57–70.
67. Vågen, T.-G., Winowiecki, L.A., Tondoh, J.E., Desta, L.T., Gumbricht, T., Mapping of soil properties and land degradation risk in Africa using MODIS reflectance. Geoderma 263 (2016), 216–225.
68. Wang, B., Chen, C., Liu, D.L., Asseng, S., Yu, Q., Yang, X., Effects of climate trends and variability on wheat yield variability in eastern Australia. Clim. Res. 64 (2015), 173–186.
69. Waters, C.M., Melville, G.J., Orgill, S.E., Alemseged, Y., The relationship between soil organic carbon and soil surface characteristics in the semi-arid rangelands of southern Australia. Rangeland J. 37 (2015), 297–307.
70. Waters, C.M., Orgill, S.E., Melville, G.J., Toole, I.D., Smith, W.J., Management of grazing intensity in the semi-arid rangelands of southern australia: effects on soil and biodiversity. Land Degrad. Dev. 28 (2016), 1363–1375.
71. Welikala, R.A., Fraz, M.M., Dehmeshki, J., Hoppe, A., Tah, V., Mann, S., Williamson, T.H., Barman, S.A., Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy. Comput. Med. Imaging Graph. 43 (2015), 64–77.
72. Were, K., Bui, D.T., Dick, Ø.B., Singh, B.R., A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape. Ecol. Ind. 52 (2015), 394–403.
73. Wiesmeier, M., Barthold, F., Blank, B., Kögel-Knabner, I., Digital mapping of soil organic matter stocks using random forest modeling in a semi-arid steppe ecosystem. Plant Soil 340 (2011), 7–24.
74. Wilson, B.R., Koen, T.B., Barnes, P., Ghosh, S., King, D., Soil carbon and related soil properties along a soil type and land-use intensity gradient, New South Wales Australia. Soil Use Manage. 27 (2011), 437–447.
75. Wilson, C.H., Caughlin, T.T., Rifai, S.W., Boughton, E.H., Mack, M.C., Flory, S.L., Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland. Ecol. Appl. 27 (2017), 1646–1656.
76. Xie, H., Zhao, J., Wang, Q., Sui, Y., Wang, J., Yang, X., Zhang, X., Liang, C., Soil type recognition as improved by genetic algorithm-based variable selection using near infrared spectroscopy and partial least squares discriminant analysis. Sci. Rep., 5, 2015, 10930.
77. Yang, R.-M., Zhang, G.-L., Liu, F., Lu, Y.-Y., Yang, F., Yang, F., Yang, M., Zhao, Y.-G., Li, D.-C., Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem. Ecol. Ind. 60 (2016), 870–878.
78. Yang, Y., Fang, J., Tang, Y., Ji, C., Zheng, C., He, J., Zhu, B., Storage, patterns and controls of soil organic carbon in the Tibetan grasslands. Glob. Change Biol. 14 (2008), 1592–1599.
79. Young, R., Wilson, B.R., McLeod, M., Alston, C., Carbon storage in the soils and vegetation of contrasting land uses in northern New South Wales. Australia. Aust. J. Soil Res. 43 (2005), 21–31.
80. Zhao, M.-S., Rossiter, D.G., Li, D.-C., Zhao, Y.-G., Liu, F., Zhang, G.-L., Mapping soil organic matter in low-relief areas based on land surface diurnal temperature difference and a vegetation index. Ecol. Ind. 39 (2014), 120–133.