Spatiotemporal Variability of Soil Organic Carbon Content Over India Based on an Ecosystem Model and Regional Databases
A study on spatiotemporal variability of soil organic carbon content (SOC) over India is carried out based on a remote sensing data-driven terrestrial ecosystem model and the regional databases. The model is initialized with the equilibrated solutions corresponding to undisturbed balanced biosphere condition and then marched forward with realistic forcing for the recent decades. Both the model solution and regional data show a good agreement between them with a large SOC values with mean 12 kg m−2 for the forest and cropland-dominated regions, a moderate value (8 kg m−2) for the mixed shrub and grassland, and small for the grassland regions (4 kg m−2) correspondingly for 30 m upper active layer of the soil. The model SOC shows a significant seasonal variability across all the vegetation types with peak value during spring season (March–April) and trough during the autumn (September–October). The SOC budget of the country is around 13 Pg for the top active layer of the soil. It has shown a significant increasing trend of 22 Tg year−1 for the study period resulted from the positive growth rate of 25 Tg year−1 for the cropland and negative growth rate of 3 Tg year−1 for the forest region. The extrapolated annual national SOC budget is 25 Pg correspondingly for 1 m depth soil layer.
KeywordsNet ecosystem productivity Net primary productivity Carbon cycle NDVI CASA India
This work is carried out under National Carbon Project (NCP) of ISRO Biosphere and Biosphere Program (ISRO-GBP). We sincerely thank Director NRSC for his encouragement and support. We thank MODIS teams at NASA for making available NDVI data at the public domains for use in this study.
- Agarwal, S., Joshi, P. K., Shukla, Y., & Roy, P. S. (2003). Spot vegetation multi temporal data for classifying vegetation in south central Asia. Current Science,84(11), 1440–1448.Google Scholar
- Bhattacharyya, T., Pal, D. K., Mandal, C., & Velayutham, M. (2000). Organic carbon stock in Indian soils and their geographical distribution. Current Science,79(5), 655–660.Google Scholar
- Bhuvanachandra, A., Krishnapriya, M., Nayak, R. K., & Dadhwal, V. K. (2016). Spatio-temporal variability of atmospheric CO2 over India and its surroundings based on satellite measurements and numerical modeling. In Proc. SPIE 9876, remote sensing of the atmosphere, clouds, and precipitation VI, 98761K. https://doi.org/10.1117/12.2223842.
- Choudhury, B. U., Mohapatra, K. P., Das, A., Das, P. T., Nongkhlaw, L., Fiyaz, R. A., et al. (2013). Spatial variability in distribution of organic carbon stocks in the soils of North East India. Current Science,104(5), 604–614.Google Scholar
- Gupta, R. K., & Rao, D. L. (1994). Potential of wastelands for sequestering carbon by reforestation. Current Science,66, 378–380.Google Scholar
- Jenny, H. (1941). Factors of soil formation (p. 281). New York: McGrawHill.Google Scholar
- Jenny, H., & Raychaudhuri, S. P. (1960). Effect of climate and cultivation on nitrogen and organic matter reserves in Indian soils (p. 126). New Delhi: Indian Council of Agricultural Research.Google Scholar
- Katyal, V., Gangwar, K. S., & Gangwar, B. (2001). Conservation of organic carbon in relation to crop productivity, yield stability and soil fertility under rice (Oryza sativa)—Wheat (Triticum aestivum) cropping system. Indian Journal of Agronomy,46, 1–4.Google Scholar
- Nayak, R. K., Mishra, N., Dadhwal, V. K., Patel, N. R., Salim, M., Kao, K. H., et al. (2017). Assessing the consistency between AVHRR and MODIS NDVI data sets for estimating terrestrial net primary productivity over India. Journal of Earth System Science,125, 1189–1204. https://doi.org/10.1007/s12040-016-0723-9.CrossRefGoogle Scholar
- Nayak, R. K., Patel, N. R., & Dadhwal, V. K. (2010). Estimation and analysis of terrestrial net primary productivity over India by remote-sensing-driven terrestrial biosphere model. Environmental Monitoring and Assessment,170(1–4), 195–213. https://doi.org/10.1007/s10661-009-1226-9.CrossRefGoogle Scholar
- Parton, W. J., McKeown, B., Kirchner, V., & Ojima, D. (1992) CENTURY users manual. Natural Resource Ecology Laboratory, Colorado State University, Fort Collins.Google Scholar