Effects of land-use change and management on soil carbon and nitrogen in the Brigalow Belt, Australia: II. Statistical models to unravel the climate-soil-management interaction
M. J. Pringle A E , D. E. Allen A D , T. G. Orton A C , T. F. A. Bishop C , D. W. Butler A , B. K. Henry B and R. C. Dalal A D
+ Author Affiliations
- Author Affiliations
A Department of Science, Information Technology and Innovation, Brisbane, Qld 4001, Australia.
B Institute for Future Environments, Queensland University of Technology, Qld 4001, Australia.
C Faculty of Agriculture and Environment, The University of Sydney, NSW 2006, Australia.
D School of Agriculture and Food Sciences, The University of Queensland, St Lucia, Qld 4072, Australia.
E Corresponding author. Email: matthew.pringle@qld.gov.au
The Rangeland Journal 38(5) 453-466 https://doi.org/10.1071/RJ16010
Submitted: 25 January 2016 Accepted: 1 July 2016 Published: 9 August 2016
Abstract
The impact of grazing on soil carbon (C) and nitrogen (N) cycles is complex, and across a large area it can be difficult to uncover the magnitude of the effects. Here, we have linked two common approaches to statistical modelling – regression trees and linear mixed models – in a novel way to explore various aspects of soil C and N dynamics for a large, semiarid bioregion where land use is dominated by grazing. The resulting models, which we term RT-LMM, have the pleasing visual appeal of regression trees, and they account for spatial autocorrelation as per a linear mixed model. Our RT-LMM were developed from explanatory variables that related information on climate, soil and past land management. Response variables of interest were: stocks of soil total organic carbon (TOC), soil total nitrogen (TN), and particulate organic C (POC); the ratio of TOC stock to TN stock; and the relative abundance of stable isotopes δ13C and δ15N in the soil. Each variable was sampled at the depth interval 0–0.3 m. The interactions of land use with, in particular, air temperature and soil phosphorus were strong, but three principal management-related effects emerged: (i) the use of fire to clear native vegetation reduced stocks of TOC and TN, and the TOC : TN ratio, by 25%, 19% and 9%, respectively, suggesting that TOC is more sensitive to fire than TN; (ii) conversion of native vegetation to pasture enriched soil with δ13C by 1.7 ‰; subsequent regrowth of the native vegetation among the pasture restored δ13C to its original level but there was no corresponding change in TOC stock; and, (iii) the time elapsed since clearing reduced POC stocks and the TOC : TN ratio.
Additional keywords: Acacia harpophylla, carbon-nitrogen ratio, land clearance, pastures, regrowth.
References
Ahern, C. R., Shields, P. G., Enderlin, N. G., and Baker, D. E. (1994). ‘The Soil Fertility of Central and North-East Queensland Grazing Lands.’ (Department of Primary Industries: Brisbane, Qld.)Allen, D. E., Pringle, M. J., Bray, S., Hall, T. J., O’Reagain, P. O., Phelps, D., Cobon, D. H., Bloesch, P. M., and Dalal, R. C. (2013). What determines soil organic carbon stocks in the grazing lands of north-eastern Australia? Soil Research 51, 695–706.
| What determines soil organic carbon stocks in the grazing lands of north-eastern Australia?Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhvF2ktbbM&md5=6170a63a1f1fd890c3b7c3f45981f278CAS |
Allen, D. E., Pringle, M. J., Butler, D. W., Henry, B. K., Bishop, T. F. A., Bray, S. G., and Dalal, R. C. (2016). Effects of land-use change and management on soil C and N in the Brigalow Belt, Australia: I. Overview and inventory. The Rangeland Journal 38, .
| 1:STN:280:DC%2BC28vpslSnsw%3D%3D&md5=90f2e8406fbff3515b70bd27cfd99f3cCAS |
Anderson, E. R. (1984). The native woody weed problem following brigalow development in Australia. In: ‘The Brigalow Belt of Australia’. (Ed. A. Bailey.) pp. 183–192. (Royal Society of Queensland: Brisbane, Qld.)
Baldock, J. A., Sanderman, J., Macdonald, L. M., Puccini, A., Hawke, B., Szarvas, S., and McGowan, J. (2013). Quantifying the allocation of soil organic carbon to biologically significant fractions. Soil Research 51, 561–576.
| Quantifying the allocation of soil organic carbon to biologically significant fractions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhvF2ktbbL&md5=1e219139ded551ab6e708597a552e89dCAS |
Biggs, A. J. W., Kidston, E. M., Searle, R. D., Wilson, P. L., Slater, B. K., Grundy, M. J., Heiner, I. J., Smith, C. D., and Sweeney, C. (2000). SALI – the Soil and Land Information system for Queensland. In: ‘Soil 2000: New Horizons for a New Century. Proceedings of the NZSSS/ASSSI Soil 2000 Conference’. (Eds J. A. Adams and A. K. Metherell.) p. 19. (New Zealand Society of Soil Science and Australian Society of Soil Science Inc.: Canterbury, New Zealand.) https://rirdc.infoservices.com.au/downloads/09-052
Breiman, L. (2001). Random forests. Machine Learning 45, 5–32.
| Random forests.Crossref | GoogleScholarGoogle Scholar |
Butler, D. W., and Fairfax, R. J. (2003). Buffel grass and fire in a Gidgee and Brigalow woodland: A case study from central Queensland. Ecological Management & Restoration 4, 120–125.
| Buffel grass and fire in a Gidgee and Brigalow woodland: A case study from central Queensland.Crossref | GoogleScholarGoogle Scholar |
Cambardella, C. A., and Elliot, E. T. (1992). Particulate soil organic-matter changes across a grassland cultivation sequence. Soil Science Society of America Journal 56, 777–783.
| Particulate soil organic-matter changes across a grassland cultivation sequence.Crossref | GoogleScholarGoogle Scholar |
Cleveland, C. C., and Liptzin, D. (2007). C:N:P stoichiometry in soil: is there a “Redfield ratio” for the microbial biomass? Biogeochemistry 85, 235–252.
| C:N:P stoichiometry in soil: is there a “Redfield ratio” for the microbial biomass?Crossref | GoogleScholarGoogle Scholar |
Commonwealth of Australia (2015). Australia’s bioregions (IBRA). Available at: www.environment.gov.au/land/nrs/science/ibra (accessed 22 June 2016).
Cowie, B. A., Thornton, C. M., and Radford, B. J. (2007). The Brigalow Catchment Study: I. Overview of a 40-year study of the effects of land clearing in the brigalow bioregion of Australia. Australian Journal of Soil Research 45, 479–495.
| The Brigalow Catchment Study: I. Overview of a 40-year study of the effects of land clearing in the brigalow bioregion of Australia.Crossref | GoogleScholarGoogle Scholar |
Dalal, R. C., and Mayer, R. J. (1986). Long-term trends in fertility of soils under continuous cultivation and cereal cropping in southern Queensland: V: Rate of loss of total nitrogen from the soil profile and change in carbon:nitrogen ratios. Australian Journal of Soil Research 24, 493–504.
| Long-term trends in fertility of soils under continuous cultivation and cereal cropping in southern Queensland: V: Rate of loss of total nitrogen from the soil profile and change in carbon:nitrogen ratios.Crossref | GoogleScholarGoogle Scholar |
Dalal, R. C., Harms, B. P., Krull, E., and Wang, W. J. (2005). Total soil organic matter and its labile pools following mulga (Acacia aneura) clearing for pasture development and cropping 1. Total and labile carbon. Australian Journal of Soil Research 43, 13–20.
| Total soil organic matter and its labile pools following mulga (Acacia aneura) clearing for pasture development and cropping 1. Total and labile carbon.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXhtl2ku7Y%3D&md5=15e2e95390c07f7ef612abcaa19853a1CAS |
Dalal, R. C., Cowie, B. A., Allen, D. E., and Yo, S. A. (2011). Assessing carbon lability of particulate organic matter from δ13C changes following land-use change from C3 native vegetation to C4 pasture. Soil Research 49, 98–103.
| Assessing carbon lability of particulate organic matter from δ13C changes following land-use change from C3 native vegetation to C4 pasture.Crossref | GoogleScholarGoogle Scholar |
Dalal, R. C., Thornton, C. M., and Cowie, B. A. (2013). Turnover of organic carbon and nitrogen in soil assessed from δ13C and δ15N changes under pasture and cropping practices and estimates of greenhouse gas emissions. The Science of the Total Environment 465, 26–35.
| Turnover of organic carbon and nitrogen in soil assessed from δ13C and δ15N changes under pasture and cropping practices and estimates of greenhouse gas emissions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXotl2qsL0%3D&md5=a7ddc08c839231730a470ce1f26574f6CAS | 23721610PubMed |
de Gruijter, J. J., Brus, D. J., Bierkens, M. F. P., and Knotters, M. (2006). ‘Sampling for Natural Resource Monitoring.’ (Springer: Berlin, Germany.)
Dwyer, J. M., Fensham, R. J., and Buckley, Y. M. (2010). Agricultural legacy, climate, and soil influence the restoration and carbon potential of woody regrowth in Australia. Ecological Applications 20, 1838–1850.
| Agricultural legacy, climate, and soil influence the restoration and carbon potential of woody regrowth in Australia.Crossref | GoogleScholarGoogle Scholar | 21049873PubMed |
Elser, J. J., Sterner, R. W., Gorokhova, E., Fagan, W. F., Markow, T. A., Cotner, J. B., Harrison, J. F., Hobbie, S. E., Odell, G. M., and Weider, L. J. (2000). Biological stoichiometry from genes to ecosystems. Ecology Letters 3, 540–550.
| Biological stoichiometry from genes to ecosystems.Crossref | GoogleScholarGoogle Scholar |
González-Pérez, J. A., González-Vila, F. J., Almendros, G., and Knicker, H. (2004). The effect of fire on soil organic matter—a review. Environment International 30, 855–870.
| The effect of fire on soil organic matter—a review.Crossref | GoogleScholarGoogle Scholar | 15120204PubMed |
Grundy, M. J., Viscarra Rossel, R. A., Searle, R. D., Wilson, P. L., Chen, C., and Gregory, L. J. (2015). Soil and landscape grid of Australia. Soil Research 53, 835–844.
Harms, B. P., Dalal, R. C., and Cramp, A. P. (2005). Changes in soil carbon and soil nitrogen after tree clearing in the semi-arid rangelands of Queensland. Australian Journal of Botany 53, 639–650.
| Changes in soil carbon and soil nitrogen after tree clearing in the semi-arid rangelands of Queensland.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXht1GqsL7I&md5=09cf1a771ad1172bb22d9def8383c1baCAS |
Isbell, R. (2002). ‘The Australian Soil Classification.’ (CSIRO Publishing: Melbourne.)
Jackson, R. B., Banner, J. L., Jobbágy, E. G., Pockman, W. T., and Wall, D. H. (2002). Ecosystem carbon loss with woody plant invasion of grasslands. Nature 418, 623–626.
| Ecosystem carbon loss with woody plant invasion of grasslands.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XlvVylt7c%3D&md5=85dc75a504cd468f79525cbd0460ebfbCAS | 12167857PubMed |
Jeffrey, S. J., Carter, J. O., Moodie, K. B., and Beswick, A. R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling & Software 16, 309–330.
| Using spatial interpolation to construct a comprehensive archive of Australian climate data.Crossref | GoogleScholarGoogle Scholar |
Johnson, R. W. (1963). Clearing the scrub. In: ‘Brigalow Development’. (Eds Officers of the Queensland Dept of Agriculture and Stock) pp. 32–46. (Queensland Department of Agriculture and Stock: Brisbane, Qld.)
Johnson, R. W. (1964). ‘Ecology and Control of Brigalow in Queensland.’ (Queensland Department of Primary Industries: Brisbane, Qld.)
Lacarce, E., Saby, N. P. A., Martin, M. P., Marchant, B. P., Boulonne, L., Meersmans, J., Jolivet, C., Bispo, A., and Arrouays, D. (2012). Mapping soil Pb stocks and availability in mainland France combining regression trees with robust geostatistics. Geoderma 170, 359–368.
| Mapping soil Pb stocks and availability in mainland France combining regression trees with robust geostatistics.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38Xhsl2gsL4%3D&md5=09952ca8bb900c6ffc95e2b99a9f67efCAS |
Lands Administration Commission (1978). ‘The Brigalow Scheme in Central Queensland, 1962–1978.’ (Department of Lands: Brisbane, Qld.)
Lark, R. M. (2012). Distinguishing spatially correlated random variation in soil from a ‘pure nugget’ process. Geoderma 185–186, 102–109.
| Distinguishing spatially correlated random variation in soil from a ‘pure nugget’ process.Crossref | GoogleScholarGoogle Scholar |
Lark, R. M., and Cullis, B. R. (2004). Model-based analysis using REML for inference from systematically sampled data on soil. European Journal of Soil Science 55, 799–813.
| Model-based analysis using REML for inference from systematically sampled data on soil.Crossref | GoogleScholarGoogle Scholar |
Lesslie, R. G., Barson, M. M., and Randall, L. A. (2008). Land use mapping. In: ‘Guidelines for Surveying Soil and Land Resources’. (Eds N. J. McKenzie, M. J. Grundy, R. Webster and A. J. Ringrose-Voase.) pp. 143–155. (CSIRO Publishing: Melbourne.)
Lloyd, D. L. (1984). Agricultural and pastoral land use in the brigalow belt of Queensland. In: ‘The Brigalow Belt of Australia’. (Ed. A. Bailey.) pp. 81–96. (Royal Society of Queensland: Brisbane, Qld.)
Loh, W.-Y. (2014). Fifty years of classification and regression trees. International Statistical Review 82, 329–348.
| Fifty years of classification and regression trees.Crossref | GoogleScholarGoogle Scholar |
Marchant, B. P., Newman, S., Corstanje, R., Reddy, K. R., Osborne, T. Z., and Lark, R. M. (2009). Spatial monitoring of a non-stationary soil property: phosphorus in a Florida water conservation area. European Journal of Soil Science 60, 757–769.
| Spatial monitoring of a non-stationary soil property: phosphorus in a Florida water conservation area.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXht1ylsLfO&md5=f6faee41e8f31aa3c516ef186aebf6fbCAS |
Marchant, B. P., Saby, N. P. A., Lark, R. M., Bellamy, P. H., Jolivet, C. C., and Arrouays, D. (2010). Robust analysis of soil properties at the national scale: cadmium content of French soils. European Journal of Soil Science 61, 144–152.
| Robust analysis of soil properties at the national scale: cadmium content of French soils.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhvFajsL8%3D&md5=36369bd4a1bef55eede37666e02fbbb0CAS |
Marín-Spiotta, E., and Sharma, S. (2013). Carbon storage in successional and plantation forest soils: a tropical analysis. Global Ecology and Biogeography 22, 105–117.
| Carbon storage in successional and plantation forest soils: a tropical analysis.Crossref | GoogleScholarGoogle Scholar |
McBratney, A. B., and Webster, R. (1986). Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates. Journal of Soil Science 37, 617–639.
| Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates.Crossref | GoogleScholarGoogle Scholar |
Minasny, B., McBratney, A. B., Mendonça-Santos, M. L., Odeh, I. O. A., and Guyon, B. (2006). Prediction and digital mapping of soil carbon storage in the Lower Namoi Valley. Australian Journal of Soil Research 44, 233–244.
| Prediction and digital mapping of soil carbon storage in the Lower Namoi Valley.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XktFWitb0%3D&md5=a6aaa8a303f8b5639b5a2771127a0023CAS |
Orton, T. G., Pringle, M. J., Page, K. L., Dalal, R. C., and Bishop, T. F. A. (2014). Spatial prediction of soil organic carbon stock using a linear model of coregionalisation. Geoderma 230–231, 119–130.
| Spatial prediction of soil organic carbon stock using a linear model of coregionalisation.Crossref | GoogleScholarGoogle Scholar |
Orton, T. G., Pringle, M. J., and Bishop, T. F. A. (2016). A one-step approach for modelling and mapping soil properties based on profile data sampled over varying depth intervals. Geoderma 262, 174–186.
| A one-step approach for modelling and mapping soil properties based on profile data sampled over varying depth intervals.Crossref | GoogleScholarGoogle Scholar |
Page, K. L., Dalal, R. C., Pringle, M. J., Bell, M., Dang, Y. P., Radford, B., and Bailey, K. (2013). Organic carbon stocks in cropping soils of Queensland, Australia, as affected by tillage management, climate, and soil characteristics. Soil Research 51, 596–607.
| Organic carbon stocks in cropping soils of Queensland, Australia, as affected by tillage management, climate, and soil characteristics.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhvF2ktbfL&md5=52f4b4641e0a703c2fc3991493578c52CAS |
Patterson, H. D., and Thompson, R. (1971). Recovery of inter-block information when block sizes are unequal. Biometrika 58, 545–554.
| Recovery of inter-block information when block sizes are unequal.Crossref | GoogleScholarGoogle Scholar |
Peterson, B. J., and Fry, B. (1987). Stable isotopes in ecosystem studies. Annual Review of Ecology and Systematics 18, 293–320.
| Stable isotopes in ecosystem studies.Crossref | GoogleScholarGoogle Scholar |
Piñeiro, G., Paruelo, J. M., Oesterheld, M., and Jobbágy, E. G. (2010). Pathways of grazing effects on soil organic carbon and nitrogen. Rangeland Ecology and Management 63, 109–119.
| Pathways of grazing effects on soil organic carbon and nitrogen.Crossref | GoogleScholarGoogle Scholar |
R Core Team (2014). ‘R: A language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria.) Available at: www.R-project.org (accessed 22 June 2016).
Radford, B. J., Thornton, C. M., Cowie, B. A., and Stephens, M. L. (2007). The Brigalow Catchment Study: III. Productivity changes on brigalow land cleared for long-term cropping and grazing. Australian Journal of Soil Research 45, 512–523.
| The Brigalow Catchment Study: III. Productivity changes on brigalow land cleared for long-term cropping and grazing.Crossref | GoogleScholarGoogle Scholar |
Roxburgh, S. H., Mackey, B. G., Dean, C., Randall, L., Lee, A., and Austin, J. (2006). Organic carbon partitioning in soil and litter in subtropical woodlands and open forests: a case study from the Brigalow Belt, Queensland. The Rangeland Journal 28, 115–125.
| Organic carbon partitioning in soil and litter in subtropical woodlands and open forests: a case study from the Brigalow Belt, Queensland.Crossref | GoogleScholarGoogle Scholar |
Seabrook, L., McAlpine, C., and Fensham, R. (2006). Cattle, crops and clearing: Regional drivers of landscape change in the Brigalow Belt, Queensland, Australia, 1840–2004. Landscape and Urban Planning 78, 373–385.
| Cattle, crops and clearing: Regional drivers of landscape change in the Brigalow Belt, Queensland, Australia, 1840–2004.Crossref | GoogleScholarGoogle Scholar |
The State of Queensland (2014). Brigalow Management Guide: Ecology. Available at: www.qld.gov.au/environment/plants-animals/regrowth-guides/brigalow-ecology (accessed 22 June 2016).
The State of Queensland (2015). Queensland Globe. Available at: www.business.qld.gov.au/business/support-tools-grants/services/mapping-data-imagery/queensland-globe (accessed 22 June 2016).
Therneau, T., and Atkinson, E. J. (2015). An introduction to recursive partitioning using the RPART routines. Available at: cran.r-project.org/web/packages/rpart/vignettes/longintro.pdf (accessed 22 June 2016).
Viscarra Rossel, R. A., Webster, R., and Kidd, D. (2014). Mapping gamma radiation and its uncertainty from weathering products in a Tasmanian landscape with a proximal sensor and random forest kriging. Earth Surface Processes and Landforms 39, 735–748.
| Mapping gamma radiation and its uncertainty from weathering products in a Tasmanian landscape with a proximal sensor and random forest kriging.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXmsFWrsL4%3D&md5=82c19a88f20950f61a4f751a3700afc4CAS |
Walker, T. W., and Syers, J. K. (1976). The fate of phosphorus during pedogenesis. Geoderma 15, 1–19.
| The fate of phosphorus during pedogenesis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaE28Xht1Cltro%3D&md5=96fe761e36413126124886efbc97902bCAS |
Webb, A. A. (1984). Consequences of agricultural land use in the brigalow belt. In: ‘The Brigalow Belt of Australia’. (Ed. A. Bailey.) pp. 131–147. (Royal Society of Queensland: Brisbane, Qld.)
Webster, R., and Oliver, M. A. (2001). ‘Geostatistics for Environmental Scientists.’ (John Wiley & Sons, Ltd: Chichester, UK.)
Wynn, J. G., and Bird, M. I. (2008). Environmental controls on the stable carbon isotopic composition of soil organic carbon: implications for modelling the distribution of C3 and C4 plants, Australia. Tellus 60B, 604–621.
| Environmental controls on the stable carbon isotopic composition of soil organic carbon: implications for modelling the distribution of C3 and C4 plants, Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXhtFOmt7zO&md5=12563c26a33ce84ca66714be31d6786aCAS |
Wynn, J. G., Bird, M. I., Vellen, L., Grand-Clement, E., Carter, J., and Berry, S. L. (2006). Continental-scale measurement of the soil organic carbon pool with climatic, edaphic, and biotic controls. Global Biogeochemical Cycles 20, GB1007.
| Continental-scale measurement of the soil organic carbon pool with climatic, edaphic, and biotic controls.Crossref | GoogleScholarGoogle Scholar |
