Abstract

Abstract. 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−1 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−1 under cropping, modified grazing and native grazing and 3.52 (3.15–4.09) Mg C ha−1 under natural environments. With projected future changes in climate (+1.5, 2 and 5.0 ∘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−1, while soils under native grazing lost the least, between 0.4 and 0.7 Mg C ha−1. Soil under cropping lost between 1 and 2.7 Mg C ha−1, while those under modified grazing showed a slight increase with temperature increases of 1.5 ∘C, but with further increases of 2 and 5 ∘C the median loss of TOC was 0.28 and 3.4 Mg C ha−1, 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.

Highlights

  • Soil carbon (C) represents the most abundant terrestrial C pool (Batjes, 1996)

  • The POC and mineral-associated carbon (MAOC) fractions consist of 11 % and 68 % of the measured total organic C (TOC) stocks under natural environments, 11 % and 67 % under native grazing, 18 % and 52 % under modified grazing, and 16 % and 53 % under cropping

  • With each of the decomposable plant material (DPM) / resistant plant material (RPM) ratios tested, the model simulated the measured TOC, POC and MAOC stocks at equilibrium (Supplement Table S1), but the amount of annual C input needed to maintain the soil organic C stocks was sensitive to the varying quality of incoming plant material

Read more

Summary

Introduction

Soil carbon (C) represents the most abundant terrestrial C pool (Batjes, 1996). It can be a significant source or sink of atmospheric CO2 (Scharlemann et al, 2014). Sequestration of soil organic C, via the adoption of innovative land management strategies, offers opportunities for improving soil and ecosystem health, sustaining food production, and mitigating climate change J. Lee et al.: Simulating soil C dynamics in Australia. These opportunities depend on regional interactions between soil, climate, land use and management (Viscarra Rossel et al, 2019). A better understanding of the effect of these interactions on soil C is needed to assess the potential for those opportunities

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call