Assessing human impacts on soil organic carbon change in the Lower Namoi Valley, Australia

Adhikari, 2019, Assessing soil organic carbon stock of wisconsin, usa and its fate under future land use and climate change, Sci. Total Environ., 667, 833, 10.1016/j.scitotenv.2019.02.420 Angst, 2018, Soil organic carbon stocks in topsoil and subsoil controlled by parent material, carbon input in the rhizosphere, and microbial-derived compounds, Soil Biol. Biochem., 122, 19, 10.1016/j.soilbio.2018.03.026 Campbell, S. , Malone, B. , Minasny, B. , Nelson, M. & Fajardo, M. 2016. Spectroscopy: functions for visible and near infrared data manipulation [online]. Available: https://github.com/soilsecuritylab/spectroscopy_package. Cattle, 1994, The effect of cultivation on the properties of a rhodoxeralf from the wheat/sheep belt of new south wales, Geoderma, 63, 215, 10.1016/0016-7061(94)90064-7 Chan, K. , Heenan, D. , Grabski, A. & So, H. 1998. Soil organic carbon sequestration and changes in soil quality under conservation tillage on lighter-textured soils in australia. Conservation tillage: can it assist in mitigating the greenhouse gas problem. Chen, 2023, Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping, Geoderma, 433, 10.1016/j.geoderma.2023.116467 Conteh, 1997, Soil organic carbon changes in cracking clay soils under cotton production as studied by carbon fractionation, Aust. J. Agric. Res., 48, 1049, 10.1071/A96177 Crutzen, 2016, Geology of mankind Demyan, 2012, Use of specific peaks obtained by diffuse reflectance fourier transform mid‐infrared spectroscopy to study the composition of organic matter in a haplic chernozem, Eur. J. Soil Sci., 63, 189, 10.1111/j.1365-2389.2011.01420.x Department of planning and environment 2018. State vegetation type map: border rivers gwydir / namoi region version 2.0. Vis_id 4467. Eco logical australia 2013. Refinement of vegetation mapping in the namoi catchment: extant and pre-european. Armadale nsw. Evans, 2020, Soil lifespans and how they can be extended by land use and management change, 0940b2, 15 Filippi, 2016, Chapter four - monitoring and modeling soil change: the influence of human activity and climatic shifts on aspects of soil spatiotemporally, 10.1016/bs.agron.2016.06.001 Gallant, 2009 Green, D , petrovic, J , burrell, M & moss, P 2011. Water resources and management overview: namoi catchment. Grose, 2023, Australian climate warming: observed change from 1850 and global temperature targets, J. South. Hemisph. earth Syst. Sci., 73, 30, 10.1071/ES22018 Heikkinen, 2022, Climate change induces carbon loss of arable mineral soils in boreal conditions, Glob. Change Biol., 28, 3960, 10.1111/gcb.16164 Isbell, 2016 Jang, 2021, Creating a soil parent material map digitally using a combination of interpretation and statistical techniques, Soil Res., 59, 684, 10.1071/SR20212 Jang, 2022, Developing and testing of pedogenons in the lower namoi valley, nsw, australia, Geoderma, 10.1016/j.geoderma.2022.116182 Kirschbaum, 2000, Will changes in soil organic carbon act as a positive or negative feedback on global warming?, Biogeochemistry, 48, 21, 10.1023/A:1006238902976 Kopittke, 2021, Ensuring planetary survival: the centrality of organic carbon in balancing the multifunctional nature of soils, Crit. Rev. Environ. Sci. Technol., 1 Kuhn, M. , Weston, S. , Keefer, C. , Coulter, N. & Quinlan, R. 2014. Cubist: rule-and instance-based regression modeling. R package version 0.0, 13. Lal, 2013, Intensive agriculture and the soil carbon pool, J. Crop Improv., 27, 735, 10.1080/15427528.2013.845053 Lal, 2020, Managing soils for negative feedback to climate change and positive impact on food and nutritional security, Soil Sci. Plant Nutr., 66, 1, 10.1080/00380768.2020.1718548 Lewis, 2015, Defining the anthropocene, Nature, 519, 171, 10.1038/nature14258 Li, 2022, From prairie to crop: spatiotemporal dynamics of surface soil organic carbon stocks over 167 years in illinois, usa, Sci. Total Environ. Luo, 2010, Soil carbon change and its responses to agricultural practices in Australian agro-ecosystems: a review and synthesis, Geoderma, 155, 211, 10.1016/j.geoderma.2009.12.012 Ma, 2021, Predicting soil properties in 3d: should depth be a covariate?, Geoderma, 383, 10.1016/j.geoderma.2020.114794 Manaswi, 2018 Mcbratney, 2003, On digital soil mapping, Geoderma, 117, 3, 10.1016/S0016-7061(03)00223-4 Mcgarry, D , Ward, W.T. , Mcbratney, A.B. & Soils, C.D.O. 1989. Soil studies in the lower namoi valley: methods and data. 1, the edgeroi data set, csiro division of soils. Mirzaeitalarposhti, 2017, Mid-infrared spectroscopy to support regional-scale digital soil mapping on selected croplands of south-west germany, Catena, 149, 283, 10.1016/j.catena.2016.10.001 Mondal, 2016, Impact assessment of climate change on future soil erosion and soc loss, Nat. Hazards, 82, 1515, 10.1007/s11069-016-2255-7 Narrabri shire council. 2021. Historical walks [online]. [accessed]. Ng, 2019, Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra, Geoderma, 352, 251, 10.1016/j.geoderma.2019.06.016 Ng, 2022, To spike or to localize? Strategies to improve the prediction of local soil properties using regional spectral library, Geoderma, 406, 10.1016/j.geoderma.2021.115501 Padarian, 2019, Using deep learning for digital soil mapping, Soil, 5, 79, 10.5194/soil-5-79-2019 Padarian, 2022, Monitoring changes in global soil organic carbon stocks from space, Remote Sens. Environ., 281, 10.1016/j.rse.2022.113260 Post, 2000, Soil carbon sequestration and land-use change: processes and potential, 317 Quinn, 1991, The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models, Hydrol. Process., 5, 59, 10.1002/hyp.3360050106 Rabbi, 2014, The relationships between land uses, soil management practices, and soil carbon fractions in south eastern australia, Agric., Ecosyst. Environ., 197, 41, 10.1016/j.agee.2014.06.020 Rasche, 2013, Middrifts-based partial least square regression analysis allows predicting microbial biomass, enzyme activities and 16s rrna gene abundance in soils of temperate grasslands, Soil Biol. Biochem., 57, 504, 10.1016/j.soilbio.2012.09.030 Román dobarco, 2021, A modelling framework for pedogenon mapping, Geoderma, 393, 10.1016/j.geoderma.2021.115012 Rossiter, 2018, A new look at soil phenoforms – definition, identification, mapping, Geoderma, 314, 113, 10.1016/j.geoderma.2017.11.002 Roudier, 2020, National scale 3d mapping of soil ph using a data augmentation approach, Remote Sens., 12, 2872, 10.3390/rs12182872 Santos, 2020, Predicting carbon and nitrogen by visible near-infrared (vis-nir) and mid-infrared (mir) spectroscopy in soils of northeast brazil, Geoderma Reg., 23 Siebielec, 2004, Near- and mid-infrared diffuse reflectance spectroscopy for measuring soil metal content, J. Environ. Qual., 33, 2056, 10.2134/jeq2004.2056 So, H. , Dalal, R. , Chan, K. , Menzies, N. & Freebairn, D. Potential of conservation tillage to reduce carbon dioxide emission in australian soils. Sustaining the global farm. Selected paper for the 10 th international soil conservation organization meeting held may, 1999. 24–29. Steffen, 2011, The anthropocene: conceptual and historical perspectives, Philos. Trans. R. Soc. a: Math., Phys. Eng. Sci., 369, 842, 10.1098/rsta.2010.0327 Tye, 2013, Gradual and anthropogenic soil change for fertility and carbon on marginal sandy soils, Geoderma, 207, 35, 10.1016/j.geoderma.2013.05.004 Wang, 2015, Nitrogen management is the key for low-emission wheat production in australia: a life cycle perspective, Eur. J. Agron., 66, 74, 10.1016/j.eja.2015.02.007 Ward, W. 1999. Soils and landscapes near narrabri and edgeroi, nsw, with data analysis and using fuzzy k-means. Wilford, J.R. & Kroll, A. 2018. Complete radiometric grid of australia (radmap) v4 2019 with modelled infill. Yang, 2022, A preliminary assessment of the space‐for‐time substitution method in soil carbon change prediction, Soil Sci. Soc. Am. J., 86, 423, 10.1002/saj2.20369