Geo-informatics based multi-criteria decision analysis (MCDA) through analytic hierarchy process (AHP) for forest fire r
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Ó Indian Academy of Sciences (0123456789().,-volV)(0123456789( ).,-volV)
Geo-informatics based multi-criteria decision analysis (MCDA) through analytic hierarchy process (AHP) for forest Bre risk mapping in Palamau Tiger Reserve, Jharkhand state, India BINITA KUMARI
and ARVIND CHANDRA PANDEY*
Central University of Jharkhand, Ranchi, Jharkhand, India. *Corresponding author. e-mail: [email protected] MS received 4 August 2019; revised 11 June 2020; accepted 12 June 2020
Forest Bres constitute a foremost environmental calamity that distresses the sustainability of the forest. The main source of degradation of Jharkhand forests are forest Bres conquered by forest species of Sal and Bamboo. Palamau Tiger Reserve in Jharkhand state, India, is becoming more susceptible to forest Bre due to anthropogenic disturbance coupled with speedy upsurge in population. In this study, forest Bre risk in PTR was evaluated based on various Bre inducing factors, viz., forest fuel, settlements, roads, bare soil index, elevation slope and aspect. Geoinformatics based multi-criteria decision analysis (MCDA) through method of AHP (analytic hierarchy process) used to extract forest Bre risk map in Bve classes: Very low risk, low risk, moderate risk, high risk and very high risk. The results obtained showed that about 180 km2 (14.85%) falls under very low Bre risk zone, 234 km2 (19.30%) falls in low Bre risk zone, 269.73 km2 (22.16%) falls under moderate Bre risk zone, 299.36 km2 (24.59%) falls under high Bre risk zone and 232.56 km2 (19.10%) falls in very high Bre risk zone. Forest Bre risk map was validated from historical Bre incidents observed through Beld data, MODIS and SNPP-VIIRS satellite products. The results showed that the geoinformatics based forest Bre risk zones delineated through MCDA-AHP method are in good agreement with historical forest Bre occurrences, henceforth may be utilised for Bre planning for mitigation in forest areas. Keywords. MCDA; AHP; forest Bre risk mapping; Palamau Tiger Reserve.
Abbreviations MCDA AHP PTR ASL FFRI WSM CR RCI RI BI
Multi-criteria decision analysis Analytic hierarchy process Palamau Tiger Reserve Above sea level Forest Bre risk index Weighted-sum-method Consistency ratio Random consistency index Consistency index Bare soil index
DEM DPAP
Digital elevation model Drought prone areas programme
1. Introduction Forest Bre is foremost and problematic in forests across the world and its monitoring becomes a task mainly, when there is limited availability of geographic information for the forest Bre occurrences. Forest Bres aAect the forest sustainability, capitals particularly in dry regions covered dominantly by Bre sensitive species of trees (Demir et al. 2009).
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Forest Bres may initiate chief reparations to ecosystem of forest, hence destructively aAect the sustainability (Bilici 2009). Apart from reducing the commercial worth of trees and loss of lives of humans, it produces abundant quantity of greenhouse gases (CH4 and CO2) (Guido et al. 2004), and alters the c
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