2015
DOI: 10.1371/journal.pone.0124346
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Factors Controlling Vegetation Fires in Protected and Non-Protected Areas of Myanmar

Abstract: Fire is an important disturbance agent in Myanmar impacting several ecosystems. In this study, we quantify the factors impacting vegetation fires in protected and non-protected areas of Myanmar. Satellite datasets in conjunction with biophysical and anthropogenic factors were used in a spatial framework to map the causative factors of fires. Specifically, we used the frequency ratio method to assess the contribution of each causative factor to overall fire susceptibility at a 1km scale. Results suggested the m… Show more

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Cited by 81 publications
(48 citation statements)
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“…Human population density was calculated for each census sector based upon the 2007 census data. While the uncertainties of Modifiable Areal Unit Problem (MAUP) are problematic to such measures, we follow others in adopting this approach and assume that the contribution of spatial density estimates outweigh its limitations at the spatial scale of our analysis [ 37 , 49 ]. As there was not perfect congruency between reserve boundaries and census sectors, mean population density values were calculated for reserves and buffers separately ( Fig 1 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Human population density was calculated for each census sector based upon the 2007 census data. While the uncertainties of Modifiable Areal Unit Problem (MAUP) are problematic to such measures, we follow others in adopting this approach and assume that the contribution of spatial density estimates outweigh its limitations at the spatial scale of our analysis [ 37 , 49 ]. As there was not perfect congruency between reserve boundaries and census sectors, mean population density values were calculated for reserves and buffers separately ( Fig 1 ).…”
Section: Methodsmentioning
confidence: 99%
“…[ 19 , 26 29 ]) or hunting (e.g [ 19 , 26 28 , 30 , 31 ]), while relatively few studies address fire occurrence (e.g. [ 32 37 ]). These studies are often limited in the inference they can make on reserve effectiveness due to reliance on direct comparisons between reserve and buffer areas or reserve and “everywhere else” [ 38 ].…”
Section: Introductionmentioning
confidence: 99%
“…Wind, precipitation and temperature are influences by elevation and all can affect fire ignition and spread. Slope influences how fast fire can rise and aspect determines the amount of solar radiation present that influences temperature (Biswas et al 2015). We only used elevation and slope as topographic factors, because analysis of historical fire data showed no significant variation in fire incidence for the different aspects.…”
Section: Analysing Forest Fire Risk Zonesmentioning
confidence: 99%
“…Though the impacts are relatively low compared with other major disasters, like floods, landslides and earthquakes, forest fires have direct and indirect impacts that include death, and damage to buildings and infrastructures, as well as an adverse effect on people's health (Kochi et al 2010;Stephenson et al 2013;Doerr and Santín 2016;Martin 2016). In tropical, mountainous countries, fire is used as a land management tool to clear forested land for agriculture (Biswas et al 2015). Human activities in the forest also increase the incidence of forest fire (Kunwar and Khaling 2006).…”
Section: Introductionmentioning
confidence: 99%
“…In tropical, mountainous countries, fire is used as a land management tool to clear forested land for agriculture (Biswas et al, 2015) Forest fire due to natural and anthropogenic factors (Adab et al, 2013) causes economic losses to people in this region and increases the emission of carbon that influences climate change (Chowdhury and Hassan, 2015).…”
Section: Introductionmentioning
confidence: 99%