We examined the spatiotemporal patterns of fire in insular Southeast Asia from July 1996 to December 2001 using a set of consistent, nighttime fire observations provided by the Along Track Scanning Radiometer (ATSR) sensor. Monthly ATSR fire counts were analyzed relative to georeferenced climatic and land-cover data from a variety of sources. We found that fires were strongly correlated with Southern Oscillation Index (SOI) (r = −0.75) and Niño 3.4 index (r = 0.72) in forested land-cover types within the equatorial belt (5.5∘S--5.5∘N). Cross-correlation analysis revealed that detrended SOI was modestly correlated (r = 0.42) with detrended monthly fire count with a positive lag of four months. However, our analysis also revealed that fire counts reached their maximum 6 months before the absolute maximum of SOI. Annual sums of SOI (∑SOI) and fire counts revealed linearity for ∑SOI≤ 0. Overall, the results suggest that ENSO indices may have limited predictive utility at a monthly time scale, but that temporal aggregation and additional fire observations may enhance our capacity to forecast fires in different cover types based on ENSO data.
%0 Journal Article
%1 fuller2006ensofire
%A fuller, Douglas O.
%A Murphy, Kevin
%D 2006
%J Climatic Change
%K ENSO climatology fire MyFireWork
%N 4
%P 435--455
%R 10.1007/s10584-006-0432-5
%T The Enso-Fire Dynamic in Insular Southeast Asia
%U https://doi.org/10.1007/s10584-006-0432-5
%V 74
%X We examined the spatiotemporal patterns of fire in insular Southeast Asia from July 1996 to December 2001 using a set of consistent, nighttime fire observations provided by the Along Track Scanning Radiometer (ATSR) sensor. Monthly ATSR fire counts were analyzed relative to georeferenced climatic and land-cover data from a variety of sources. We found that fires were strongly correlated with Southern Oscillation Index (SOI) (r = −0.75) and Niño 3.4 index (r = 0.72) in forested land-cover types within the equatorial belt (5.5∘S--5.5∘N). Cross-correlation analysis revealed that detrended SOI was modestly correlated (r = 0.42) with detrended monthly fire count with a positive lag of four months. However, our analysis also revealed that fire counts reached their maximum 6 months before the absolute maximum of SOI. Annual sums of SOI (∑SOI) and fire counts revealed linearity for ∑SOI≤ 0. Overall, the results suggest that ENSO indices may have limited predictive utility at a monthly time scale, but that temporal aggregation and additional fire observations may enhance our capacity to forecast fires in different cover types based on ENSO data.
@article{fuller2006ensofire,
abstract = {We examined the spatiotemporal patterns of fire in insular Southeast Asia from July 1996 to December 2001 using a set of consistent, nighttime fire observations provided by the Along Track Scanning Radiometer (ATSR) sensor. Monthly ATSR fire counts were analyzed relative to georeferenced climatic and land-cover data from a variety of sources. We found that fires were strongly correlated with Southern Oscillation Index (SOI) (r = −0.75) and Ni{\~{n}}o 3.4 index (r = 0.72) in forested land-cover types within the equatorial belt (5.5∘S--5.5∘N). Cross-correlation analysis revealed that detrended SOI was modestly correlated (r = 0.42) with detrended monthly fire count with a positive lag of four months. However, our analysis also revealed that fire counts reached their maximum 6 months before the absolute maximum of SOI. Annual sums of SOI (∑SOI) and fire counts revealed linearity for ∑SOI≤ 0. Overall, the results suggest that ENSO indices may have limited predictive utility at a monthly time scale, but that temporal aggregation and additional fire observations may enhance our capacity to forecast fires in different cover types based on ENSO data.},
added-at = {2021-03-25T10:10:30.000+0100},
author = {fuller, Douglas O. and Murphy, Kevin},
biburl = {https://www.bibsonomy.org/bibtex/27a8a4e8abba2a63775a294fba4ffc6ff/pbett},
day = 01,
doi = {10.1007/s10584-006-0432-5},
interhash = {f079e24ca142a59776ba501d2766e497},
intrahash = {7a8a4e8abba2a63775a294fba4ffc6ff},
issn = {1573-1480},
journal = {Climatic Change},
keywords = {ENSO climatology fire MyFireWork},
month = feb,
number = 4,
pages = {435--455},
timestamp = {2021-04-06T14:34:16.000+0200},
title = {The Enso-Fire Dynamic in Insular Southeast Asia},
url = {https://doi.org/10.1007/s10584-006-0432-5},
volume = 74,
year = 2006
}