Characterisation of spatio - temporal patterns of forest fires in South Asia (Record no. 6143)

MARC details
000 -LEADER
fixed length control field 02548nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107122842.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180703b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency IIITMK
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sreelakshmi S (91717010)
9 (RLIN) 14449
245 ## - TITLE STATEMENT
Title Characterisation of spatio - temporal patterns of forest fires in South Asia
300 ## - PHYSICAL DESCRIPTION
Extent MPhil EI 2017-2018
500 ## - GENERAL NOTE
General note Forest fire is considered one of the major threat to global biodiversity.<br/>Irrespective of causes of fires, burning leads to carbon emissions which has direct influence on<br/>atmospheric chemistry. The present study, attempted to analyse distribution of fire incidences in<br/>different forest types of South Asia using very high temporal MODIS data during 2003 to 2017.<br/>In order to characterize fire regimes, daily MODIS data on active fire locations were aggregated<br/>into 5 km x 5 km grid cells. The number of fire points detected across the forest types was<br/>estimated to analyse fire regimes with reference to frequency and vulnerability. Spatial analysis<br/>identified zones of frequent burning and high fire density in south Asian countries. Monthly mean<br/>fire incidences recorded high fire occurrence in March for India while Afghanistan and Pakistan<br/>represented more fires in June. In contrast to it, Bangladesh and Nepal affected by high number<br/>of fire incidences in April. Among the forest types, moist deciduous forests represent highest fires<br/>followed by dry deciduous forests. Among the seven countries, India shows highest number<br/>(88.1%) of forest occurrences, followed by Bangladesh and Nepal. The year 2009 shows highest<br/>fire occurrences in the study period with contribution of 9.9% followed by 2012 (8.7%) which<br/>were considered as warmest years. About 1054 grid cells were affected by fires in South Asia<br/>through the study period (2003-2017). Estimation of carbon emissions in Bangladesh reveals that<br/>about 6.97 Tg yr-1 of CO2<br/> has been emitted due to fires in 2017. Among different forests, Open<br/>dry deciduous type of forest contributes about 70.4% followed by dense moist deciduous type of<br/>forest with 13.9% of CO2<br/> emissions in 2017. Study results offer critical insights for conservation<br/>of forests in South Asian countries. Delineation of fire vulnerable forest types and landscapes at 5<br/>km grid level will stand as a valuable input for management of fires in South Asia. <br/><br/>
502 ## - DISSERTATION NOTE
Degree type MPhil EI
Name of granting institution 2017-2018
Year degree granted INT
-- Dr. Jaishanker R Nair
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element FOREST FIRE
9 (RLIN) 14450
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SPATIAL ANALYSIS
9 (RLIN) 14451
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SOUTH ASIA
9 (RLIN) 14452
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   03/07/2018   R-1427 03/07/2018 03/07/2018 Project Reports