Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast India
Soil carbon sequestration is vital to reduce the atmospheric carbon concentration, which is expected to increase within future climatic scenarios. The present study aims to investigate the effects of land use changes to different plantation systems on SOC stocks, and simulate these changes using the...
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MDPI AG
2023-06-01
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author | Uttam Kumar Sahoo Jitendra Ahirwal Krishna Giri Gaurav Mishra Rosa Francaviglia |
author_facet | Uttam Kumar Sahoo Jitendra Ahirwal Krishna Giri Gaurav Mishra Rosa Francaviglia |
author_sort | Uttam Kumar Sahoo |
collection | DOAJ |
description | Soil carbon sequestration is vital to reduce the atmospheric carbon concentration, which is expected to increase within future climatic scenarios. The present study aims to investigate the effects of land use changes to different plantation systems on SOC stocks, and simulate these changes using the RothC model in Mizoram, India. With this aim, four land uses, viz., secondary forest, oil palm, orange, and arecanut plantations, established on degraded shifting cultivation lands, and a control natural forest were selected for this study. The soils were sampled 0–30 cm in the secondary forest, plantations, and the natural forest, at an interval of five years. Measured SOC stocks were the highest in the secondary forest (67.0 Mg C ha<sup>−1</sup>) and the lowest under the oil palm plantation (37.4 Mg C ha<sup>−1</sup>), 10 years after land use conversion. The climate change projections for 2021–2035 and 2036–2050 indicated that temperature and rainfall changes, projected to increase by 0.8 and 2.0 °C, and 5.9 and 5.4%, respectively, will affect SOC stocks in the future differently, depending on the land use and carbon input from vegetation. Baseline climate simulations under land use change showed the highest increase in the SOC stock under the secondary forest (116%), and the lowest in the oil palm plantation (27%). Overall, the model predicted that SOC stocks would increase, but the rate of change (0.23–1.86 Mg C ha<sup>−1</sup> yr<sup>−1</sup>) varied with different land uses, plant species, and land management practices. The model results indicated that restoring secondary forest following the abandonment of a shifting cultivation and orange plantations are the best options to improve SOC stocks within future climate change scenarios. Conversely, arecanut and oil palm need to be reduced because the SOC storage is lower. |
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spelling | doaj.art-9d5f56c966074ee78b045536bfe684bb2023-11-18T17:52:18ZengMDPI AGAgriculture2077-04722023-06-01137133210.3390/agriculture13071332Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast IndiaUttam Kumar Sahoo0Jitendra Ahirwal1Krishna Giri2Gaurav Mishra3Rosa Francaviglia4Department of Forestry, School of Earth Sciences and Natural Resources Management, Mizoram University, Aizawl 796004, IndiaDepartment of Forestry, School of Earth Sciences and Natural Resources Management, Mizoram University, Aizawl 796004, IndiaIndian Council for Forestry Research and Education, Dehradun 248006, IndiaIndian Council for Forestry Research and Education, Dehradun 248006, IndiaCouncil for Agricultural Research and Economics, Research Centre for Agriculture and Environment, 00184 Rome, ItalySoil carbon sequestration is vital to reduce the atmospheric carbon concentration, which is expected to increase within future climatic scenarios. The present study aims to investigate the effects of land use changes to different plantation systems on SOC stocks, and simulate these changes using the RothC model in Mizoram, India. With this aim, four land uses, viz., secondary forest, oil palm, orange, and arecanut plantations, established on degraded shifting cultivation lands, and a control natural forest were selected for this study. The soils were sampled 0–30 cm in the secondary forest, plantations, and the natural forest, at an interval of five years. Measured SOC stocks were the highest in the secondary forest (67.0 Mg C ha<sup>−1</sup>) and the lowest under the oil palm plantation (37.4 Mg C ha<sup>−1</sup>), 10 years after land use conversion. The climate change projections for 2021–2035 and 2036–2050 indicated that temperature and rainfall changes, projected to increase by 0.8 and 2.0 °C, and 5.9 and 5.4%, respectively, will affect SOC stocks in the future differently, depending on the land use and carbon input from vegetation. Baseline climate simulations under land use change showed the highest increase in the SOC stock under the secondary forest (116%), and the lowest in the oil palm plantation (27%). Overall, the model predicted that SOC stocks would increase, but the rate of change (0.23–1.86 Mg C ha<sup>−1</sup> yr<sup>−1</sup>) varied with different land uses, plant species, and land management practices. The model results indicated that restoring secondary forest following the abandonment of a shifting cultivation and orange plantations are the best options to improve SOC stocks within future climate change scenarios. Conversely, arecanut and oil palm need to be reduced because the SOC storage is lower.https://www.mdpi.com/2077-0472/13/7/1332climate changeland use changeplantationRothCsoil organic carbon dynamics |
spellingShingle | Uttam Kumar Sahoo Jitendra Ahirwal Krishna Giri Gaurav Mishra Rosa Francaviglia Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast India Agriculture climate change land use change plantation RothC soil organic carbon dynamics |
title | Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast India |
title_full | Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast India |
title_fullStr | Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast India |
title_full_unstemmed | Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast India |
title_short | Modeling Land Use and Climate Change Effects on Soil Organic Carbon Storage under Different Plantation Systems in Mizoram, Northeast India |
title_sort | modeling land use and climate change effects on soil organic carbon storage under different plantation systems in mizoram northeast india |
topic | climate change land use change plantation RothC soil organic carbon dynamics |
url | https://www.mdpi.com/2077-0472/13/7/1332 |
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