Decadal time-scale monitoring of forest fires in Similipal Biosphere Reserve, India using remote sensing and GIS.
Analyzing the spatial extent and distribution of forest fires is essential for sustainable forest resource management. There is no comprehensive data existing on forest fires on a regular basis in Biosphere Reserves of India. The present work have been carried out to locate and estimate the spatial extent of forest burnt areas using Resourcesat-1 data and fire frequency covering decadal fire events (2004-2013) in Similipal Biosphere Reserve. The anomalous quantity of forest burnt area was recorded during 2009 as 1,014.7 km(2). There was inconsistency in the fire susceptibility across the different vegetation types. The spatial analysis of burnt area shows that an area of 34.2 % of dry deciduous forests, followed by tree savannah, shrub savannah, and grasslands affected by fires in 2013. The analysis based on decadal time scale satellite data reveals that an area of 2,175.9 km(2) (59.6 % of total vegetation cover) has been affected by varied rate of frequency of forest fires. Fire density pattern indicates low count of burnt area patches in 2013 estimated at 1,017 and high count at 1,916 in 2004. An estimate of fire risk area over a decade identifies 12.2 km(2) is experiencing an annual fire damage. Summing the fire frequency data across the grids (each 1 km(2)) indicates 1,211 (26 %) grids are having very high disturbance regimes due to repeated fires in all the 10 years, followed by 711 grids in 9 years and 418 in 8 years and 382 in 7 years. The spatial database offers excellent opportunities to understand the ecological impact of fires on biodiversity and is helpful in formulating conservation action plans.
Forestry and Ecology Group, National Remote Sensing Centre, Balanagar, Hyderabad, 500 037, India.
K R L
KR
Saranya
C Sudhakar
CS
Reddy
P V V Prasada
PV
Rao
C S
CS
Jha
D044822:Biodiversity; D003247:Conservation of Natural Resources; D016208:Databases, Factual; D004784:Environmental Monitoring / Q000379:methods*; D005390:Fires; D040362:Geographic Information Systems; D007194:India; D058998:Remote Sensing Technology; D014197:Trees