Assessment of land use change and its effect on soil carbon stock using multitemporal satellite data in semiarid region of Rajasthan, India

• Published in: Ecological processes Vol. 8; no. 1; pp. 1 - 17
• Main Authors: Sharma, Garima, Sharma, L. K., Sharma, K. C.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 05.11.2019; Springer Nature B.V; SpringerOpen
• Subjects: Agricultural land; Agricultural management; Area; Aridity; Carbon; carbon sinks; Change in SOC pool; Conversion; cultivation area; Data collection; Earth and Environmental Science; Emission analysis; Emissions control; Environment; Forests; India; Indian spacecraft; Internal trading of land use; Land management; Land use; land use change; Land use change dynamics; Land use management; land use planning; Landsat; Landsat satellites; Mathematical analysis; Multitemporal satellite data; Net losses; Organic carbon; Remote sensing; Satellites; Semi arid areas; Semiarid zones; SOC stock; Soil; Soil dynamics; Soil erosion; soil organic carbon; Soils; Stock assessment; Stock change factor; Rajasthan India; India; Change in SOC pool; Internal trading of land use; SOC stock; Stock change factor; Land use change dynamics; Land use management; Multitemporal satellite data
• ISSN: 2192-1709; 2192-1709
• DOI: 10.1186/s13717-019-0193-5

Background Land use change plays a vital role in global carbon dynamics. Understanding land use change impact on soil carbon stock is crucial for implementing land use management to increase carbon stock and reducing carbon emission. Therefore, the objective of our study was to determine land use change and to assess its effect on soil carbon stock in semi-arid part of Rajasthan, India. Landsat temporal satellite data of Pushkar valley region of Rajasthan acquired on 1993, 2003, and 2014 were analyzed to assess land use change. Internal trading of land use was depicted through matrices. Soil organic carbon (SOC) stock was calculated for soil to a depth of 30 cm in each land use type in 2014 using field data collection. The SOC stock for previous years was estimated using stock change factor. The effect of land use change on SOC stock was determined by calculating change in SOC stock (t/ha) by deducting the base-year SOC stock from the final year stock of a particular land use conversion. Results The total area under agricultural lands was increased by 32.14% while that under forest was decreased by 23.14% during the time period of 1993–2014. Overall land use change shows that in both the periods (1993–2003 and 2003–2014), 7% of forest area was converted to agricultural land and about 15% changes occurred among agricultural land. In 1993–2003, changes among agricultural land led to maximum loss of soil carbon, i.e., 4.88 Mt C and during 2003–2014, conversion of forest to agricultural land led to loss in 3.16 Mt C. Conclusion There was a continuous decrease in forest area and increase in cultivated area in each time period. Land use change led to alteration in carbon equity in soil due to change or loss in vegetation. Overall, we can conclude that the internal trading of land use area during the 10-year period (1993–2003) led to net loss of SOC stock by 8.29 Mt C. Similarly, land use change during 11-year period (2003–2014) caused net loss of SOC by 2.76 Mt C. Efforts should be made to implement proper land use management practices to enhance the SOC content.