000			02548nam a22001937a 4500
003			OSt
005			20220107122842.0
008			180703b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aSreelakshmi S (91717010) _914449
245			_aCharacterisation of spatio - temporal patterns of forest fires in South Asia
300			_aMPhil EI 2017-2018
500			_aForest fire is considered one of the major threat to global biodiversity. Irrespective of causes of fires, burning leads to carbon emissions which has direct influence on atmospheric chemistry. The present study, attempted to analyse distribution of fire incidences in different forest types of South Asia using very high temporal MODIS data during 2003 to 2017. In order to characterize fire regimes, daily MODIS data on active fire locations were aggregated into 5 km x 5 km grid cells. The number of fire points detected across the forest types was estimated to analyse fire regimes with reference to frequency and vulnerability. Spatial analysis identified zones of frequent burning and high fire density in south Asian countries. Monthly mean fire incidences recorded high fire occurrence in March for India while Afghanistan and Pakistan represented more fires in June. In contrast to it, Bangladesh and Nepal affected by high number of fire incidences in April. Among the forest types, moist deciduous forests represent highest fires followed by dry deciduous forests. Among the seven countries, India shows highest number (88.1%) of forest occurrences, followed by Bangladesh and Nepal. The year 2009 shows highest fire occurrences in the study period with contribution of 9.9% followed by 2012 (8.7%) which were considered as warmest years. About 1054 grid cells were affected by fires in South Asia through the study period (2003-2017). Estimation of carbon emissions in Bangladesh reveals that about 6.97 Tg yr-1 of CO2 has been emitted due to fires in 2017. Among different forests, Open dry deciduous type of forest contributes about 70.4% followed by dense moist deciduous type of forest with 13.9% of CO2 emissions in 2017. Study results offer critical insights for conservation of forests in South Asian countries. Delineation of fire vulnerable forest types and landscapes at 5 km grid level will stand as a valuable input for management of fires in South Asia.
502			_bMPhil EI _c2017-2018 _dINT _eDr. Jaishanker R Nair
650			_aFOREST FIRE _914450
650			_aSPATIAL ANALYSIS _914451
650			_aSOUTH ASIA _914452
942			_2ddc _cPR
999			_c6143 _d6143