Assessing the response of soil carbon in Australia to changing inputs and climate using a consistent modelling framework

• Main Authors: J. Lee, R. A. Viscarra Rossel, M. Zhang, Z. Luo, Y.-P. Wang
• Format: Article
• Language: English
• Published: Copernicus Publications 2021-09-01
• Series: Biogeosciences
• Online Access: https://bg.copernicus.org/articles/18/5185/2021/bg-18-5185-2021.pdf
• ISSN: 1726-4170; 1726-4189

<p>Land use and management practices affect the response of soil organic carbon (C) to global change. Process-based models of soil C are useful tools to simulate C dynamics, but it is important to bridge any disconnect that exists between the data used to inform the models and the processes that they depict. To minimise that disconnect, we developed a consistent modelling framework that integrates new spatially explicit soil measurements and data with the Rothamsted carbon model (Roth C) and simulates the response of soil organic C to future climate change across Australia. We compiled publicly available continental-scale datasets and pre-processed, standardised and configured them to the required spatial and temporal resolutions. We then calibrated Roth C and ran simulations to estimate the baseline soil organic C stocks and composition in the 0–0.3 m layer at 4043 sites in cropping, modified grazing, native grazing and natural environments across Australia. We used data on the C fractions, the particulate, mineral-associated and resistant organic C (POC, MAOC and ROC, respectively) to represent the three main C pools in the Roth C model's structure. The model explained 97 %–98 % of the variation in measured total organic C in soils under cropping and grazing and 65 % in soils under natural environments. We optimised the model at each site and experimented with different amounts of C inputs to simulate the potential for C accumulation under constant climate in a 100-year simulation. With an annual increase of 1 Mg C ha<span class="inline-formula">⁻¹</span> in C inputs, the model simulated a potential soil C increase of 13.58 (interquartile range 12.19–15.80), 14.21 (12.38–16.03) and 15.57 (12.07–17.82) Mg C ha<span class="inline-formula">⁻¹</span> under cropping, modified grazing and native grazing and 3.52 (3.15–4.09) Mg C ha<span class="inline-formula">⁻¹</span> under natural environments. With projected future changes in climate (<span class="inline-formula">+</span>1.5, 2 and 5.0 <span class="inline-formula">^∘</span>C) over 100 years, the simulations showed that soils under natural environments lost the most C, between 3.1 and 4.5 Mg C ha<span class="inline-formula">⁻¹</span>, while soils under native grazing lost the least, between 0.4 and 0.7 Mg C ha<span class="inline-formula">⁻¹</span>. Soil under cropping lost between 1 and 2.7 Mg C ha<span class="inline-formula">⁻¹</span>, while those under modified grazing showed a slight increase with temperature increases of 1.5 <span class="inline-formula">^∘</span>C, but with further increases of 2 and 5 <span class="inline-formula">^∘</span>C the median loss of TOC was 0.28 and 3.4 Mg C ha<span class="inline-formula">⁻¹</span>, respectively. For the different land uses, the changes in the C fractions varied with changes in climate. An empirical assessment of the controls on the C change showed that climate, pH, total N, the C : N ratio and cropping were the most important controls on POC change. Clay content and climate were dominant controls on MAOC change. Consistent and explicit soil organic C simulations improve confidence in the model's estimations, facilitating the development of sustainable soil management under global change.</p>