New Approach Evaluating Peatland Fires in Indonesian Factors

Until 2018, the El Niño–Southern Oscillation (ENSO) was used as an explanation for fires in Indonesia’s peatlands. However, when the 2019 fires occurred independently of El Niño, more suitable indicators and methods were required to (a) analyze, (b) evaluate and (c) forecast peatland fires. In this...

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Main Authors: Hiroshi Hayasaka, Aswin Usup, Daisuke Naito
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/12/2055
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author Hiroshi Hayasaka
Aswin Usup
Daisuke Naito
author_facet Hiroshi Hayasaka
Aswin Usup
Daisuke Naito
author_sort Hiroshi Hayasaka
collection DOAJ
description Until 2018, the El Niño–Southern Oscillation (ENSO) was used as an explanation for fires in Indonesia’s peatlands. However, when the 2019 fires occurred independently of El Niño, more suitable indicators and methods were required to (a) analyze, (b) evaluate and (c) forecast peatland fires. In this study, we introduced the OLR–MC index—one of the rain-related indices derived from OLR (outgoing longwave radiation) in MC (maritime continent) area in Indonesia. This index showed stronger correlation with active peatland fires than the conventional ENSO index, and is likely to be able to respond to heat and dry weather supposed to be under climate-change conditions. We then analyzed peatland fires in the top six fire years from 2002 to 2018 and showed that peatland fires occurred in three stages—surface fire, shallow peatland fire and deep peatland fire. To explain each stage, we proposed a one-dimensional groundwater level (GWL) prediction model (named as MODEL-0). MODEL-0 predicts GWL from daily rainfall. Analysis using MODEL-0 showed the GWL thresholds for the three fire stages were between -300 mm and -500 mm; peatland fire activities during the three fire stages were dependent on these GWL values. The validity of MODEL-0 was shown by comparison with the measured values of GWL in the top three fire years.
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spelling doaj.art-0e81b32a780d43d8b55bf15ae7e88d9c2023-11-20T05:00:53ZengMDPI AGRemote Sensing2072-42922020-06-011212205510.3390/rs12122055New Approach Evaluating Peatland Fires in Indonesian FactorsHiroshi Hayasaka0Aswin Usup1Daisuke Naito2Arctic Research Center, Hokkaido University, Sapporo 0010021, JapanResearch Center for Fire Prevention and Land Rehabilitation, Palangka Raya University, Palangka Raya City 74874, Central Kalimantan, IndonesiaCenter for International Forestry Research (CIFOR), Bogor 16115, IndonesiaUntil 2018, the El Niño–Southern Oscillation (ENSO) was used as an explanation for fires in Indonesia’s peatlands. However, when the 2019 fires occurred independently of El Niño, more suitable indicators and methods were required to (a) analyze, (b) evaluate and (c) forecast peatland fires. In this study, we introduced the OLR–MC index—one of the rain-related indices derived from OLR (outgoing longwave radiation) in MC (maritime continent) area in Indonesia. This index showed stronger correlation with active peatland fires than the conventional ENSO index, and is likely to be able to respond to heat and dry weather supposed to be under climate-change conditions. We then analyzed peatland fires in the top six fire years from 2002 to 2018 and showed that peatland fires occurred in three stages—surface fire, shallow peatland fire and deep peatland fire. To explain each stage, we proposed a one-dimensional groundwater level (GWL) prediction model (named as MODEL-0). MODEL-0 predicts GWL from daily rainfall. Analysis using MODEL-0 showed the GWL thresholds for the three fire stages were between -300 mm and -500 mm; peatland fire activities during the three fire stages were dependent on these GWL values. The validity of MODEL-0 was shown by comparison with the measured values of GWL in the top three fire years.https://www.mdpi.com/2072-4292/12/12/2055peatland fireOLRENSOrainfalldroughtMRP
spellingShingle Hiroshi Hayasaka
Aswin Usup
Daisuke Naito
New Approach Evaluating Peatland Fires in Indonesian Factors
Remote Sensing
peatland fire
OLR
ENSO
rainfall
drought
MRP
title New Approach Evaluating Peatland Fires in Indonesian Factors
title_full New Approach Evaluating Peatland Fires in Indonesian Factors
title_fullStr New Approach Evaluating Peatland Fires in Indonesian Factors
title_full_unstemmed New Approach Evaluating Peatland Fires in Indonesian Factors
title_short New Approach Evaluating Peatland Fires in Indonesian Factors
title_sort new approach evaluating peatland fires in indonesian factors
topic peatland fire
OLR
ENSO
rainfall
drought
MRP
url https://www.mdpi.com/2072-4292/12/12/2055
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AT aswinusup newapproachevaluatingpeatlandfiresinindonesianfactors
AT daisukenaito newapproachevaluatingpeatlandfiresinindonesianfactors