| Abstract Submission No. | ABS-4.1-0165 |
| Title of Abstract | Digital soil mapping of Soil Organic Carbon stocks in West Bengal: A Climate Change Perspective |
| Authors | Progya Mukherjee and R.K Mall*, R.K Mall |
| Organisation | DST ¿ Mahamana Centre of Excellence in Climate Change Research, I |
| Address | DST-MCECCR, IESD, Banaras Hindu University Varanasi, Uttar Pradesh, India Pincode: 221005 E-mail: mukherjeeprogya@gmail.com |
| Country | India |
| Presentation | Oral |
| Abstract | Digital soil mapping of Soil Organic Carbon stocks in West Bengal: A Climate Change Perspective Progya Mukherjee1* and R.K Mall 1 1 DST ¿ Mahamana Centre of Excellence in Climate Change Research, Institute of Environment & Sustainable development, Banaras Hindu University, Varanasi, UP-221005 India * email- mukherjeeprogya@gmail.com, rkmall@bhu.ac.in ABSTRACT Soil organic Carbon (SOC) is an indicator of soil health and contributes significantly towards improving the soil fertility and plays a crucial role in carbon sequestration that might otherwise contribute to the global warming leading to climate change consequences.Therefore, the knowledge of the changing Carbon dynamics is essential for framing of adaptation strategies and agricultural practices for increasing yield. In the present study we have used ISRIC SoilGrids data in a Digital Soil Mapping framework to predict future SOC stocks in West Bengal. We have used multiple linear regression (MLR), random forest (RF) and Support Vector Regression (SVR) method for training the dataset. Based on the model evaluation matrix, SVR was found to be the best performing model. Further, we projected the SOC stocks for the mid-future (2040-2069) and far-future (2070-2099) under two Shared Socio-economic Pathways (SSPs) scenarios SSP2-4.5 (intermediate emission) and SSP5-8.5 (very high emission) based on global climate models (GCMs) from the Coupled Model Inter- comparison Project Phase 6 (CMIP6) using SVR. Further the change from the baseline time period (1980-2009) was calculated. The results show a percentage decrease in most regions under all the scenarios. However, the maximum decrease of about 5% was observed mainly in the central and southern parts of the study area, in SSP5-8.5 scenario during the far-future. The findings can be used to support decision-making in land management and climate change mitigation strategies in West Bengal. |
| Keywords | SOC, GCM, Climate Change, MLR, RF, SVR, CMIP6, Digital Soil Mapping |