Assessing the response of soil carbon in Australia to changing inputs and climate using a consistent modelling framework
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Published:2021-09-22
Issue:18
Volume:18
Page:5185-5202
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ISSN:1726-4189
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Container-title:Biogeosciences
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language:en
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Short-container-title:Biogeosciences
Author:
Lee JuhwanORCID, Viscarra Rossel Raphael A.ORCID, Zhang Mingxi, Luo Zhongkui, Wang Ying-PingORCID
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.
Funder
Curtin University of Technology
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Ecology, Evolution, Behavior and Systematics
Reference82 articles.
1. ABARES: Land Use of Australia 2010–11, australian Bureau of Agricultural and
Resource Economics and Sciences (ABARES), Canberra, available at:
https://www.agriculture.gov.au/abares/data (last access: 1 June 2019), 2016. a, b 2. Aber, J. D.: Why don't we believe the models?, Bull. Ecol.
Soc. Am., 78, 232–233, 1997. a 3. Abramoff, R., Xu, X., Hartman, M., O’Brien, S., Feng, W., Davidson, E.,
Finzi, A., Moorhead, D., Schimel, J., Torn, M., and Mayes, M. A.: The
Millennial model: in search of measurable pools and transformations for
modeling soil carbon in the new century, Biogeochemistry, 137, 51–71,
https://doi.org/10.1007/s10533-017-0409-7, 2018. a 4. ABS: Statistical Area Level 2 (SA2), australian Bureau of Statistics (ABS),
Statistical Geography, available at:
https://www.abs.gov.au/websitedbs/D3310114.nsf/home/geography (last access: 1 June 2019), 2016. a, b 5. Baldock, J. A., Wheeler, I., McKenzie, N., and McBrateny, A.: Soils and climate
change: potential impacts on carbon stocks and greenhouse gas emissions, and
future research for Australian agriculture, Crop Past. Sci., 63,
269–283, https://doi.org/10.1071/cp11170, 2012. a
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