Next Article in Journal
Effect of Climate Change on Maize Yield in the Growing Season: A Case Study of the Songliao Plain Maize Belt
Previous Article in Journal
Spatiotemporal Variations of Extreme Precipitation and Study on Chaotic Characteristics in the Xijiang River Basin, China
Previous Article in Special Issue
A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping
Open AccessArticle

Using RothC Model to Simulate Soil Organic Carbon Stocks under Different Climate Change Scenarios for the Rangelands of the Arid Regions of Southern Iran

1
Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz 71441-65186, Iran
2
Department of Rehabilitation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Tehran 31587-77871, Iran
3
Soil Sciences, College of Natural and Applied Sciences, University of Guam, Mangilao, Guam-USA, GU 96923, USA
4
CREA, Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, 00184 Rome, Italy
*
Author to whom correspondence should be addressed.
Water 2019, 11(10), 2107; https://doi.org/10.3390/w11102107
Received: 31 July 2019 / Revised: 25 September 2019 / Accepted: 27 September 2019 / Published: 10 October 2019
(This article belongs to the Special Issue Spatial Modelling in Water Resources Management)
Soil organic carbon (SOC) is strongly influenced by climate change, and it is believed that increased temperatures might enhance the release of CO2 with higher emission into the atmosphere. Appropriate models may be used to predict the changes of SOC stock under projected future scenarios of climate change. In this investigation, the RothC model was run for a period of 36 years under climate scenarios namely: P (no climate change) as well as CCH1 and CCH2 (climate change scenarios) in the arid rangelands of Ghir–O-Karzin’s BandBast in southern Iran. Model results have shown that after 11 years (2014–25), SOC stock decreased by 3.05% under the CCH1 scenario (with a projected annual precipitation decrease by 6.69% and mean annual temperature increase by 9.96%) and by 0.23% under the P scenario. In CCH2, with further decreases in rainfall (10.93%) and increase in temperature (12.53%) compared to CCH1, the model predicted that the SOC stock during the 25 years (2025–50) was reduced by 2.36% and 3.53% under the CCH1 and CCH2 scenario respectively. According to model predictions, with future climatic conditions (higher temperatures and lower rainfall) the decomposition rate may increase resulting in higher losses of soil organic carbon from the soil matrix. The result from this investigation may also be used for developing management techniques to be practiced in the other arid rangelands of Iran with similar conditions. View Full-Text
Keywords: global warming; soil carbon model; rangelands of southern Iran global warming; soil carbon model; rangelands of southern Iran
Show Figures

Figure 1

MDPI and ACS Style

Afzali, S.F.; Azad, B.; Golabi, M.H.; Francaviglia, R. Using RothC Model to Simulate Soil Organic Carbon Stocks under Different Climate Change Scenarios for the Rangelands of the Arid Regions of Southern Iran. Water 2019, 11, 2107.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop