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Assessing the Response of Area Burned to Changing Climate in Western Boreal North America using a Multivariate Adaptive Regression Splines (MARS) Approach

TitleAssessing the Response of Area Burned to Changing Climate in Western Boreal North America using a Multivariate Adaptive Regression Splines (MARS) Approach
Publication TypeJournal Article
Year of Publication2009
AuthorsBalshi, M. S., A. D. McGuirez, P. Duffy, M. Flannigan, J. Walsh, and J. Melillo
JournalGlobal Change Biology
Volume15
Issue3
Pagination578-600
Date PublishedMar
ISBN Number1354-1013
KeywordsAdaptive Regression Splines, alaska, boreal forest, canada, Climate change, fire, forest-fires, future area burned, future fire, high-latitudes, impact, Multivariate, spatial-patterns, vegetation, wildfire, wildland
Abstract

Fire is a common disturbance in the North American boreal forest that influences ecosystem structure and function. The temporal and spatial dynamics of fire are likely to be altered as climate continues to change. In this study, we ask the question: how will area burned in boreal North America by wildfire respond to future changes in climate? To evaluate this question, we developed temporally and spatially explicit relationships between air temperature and fuel moisture codes derived from the Canadian Fire Weather Index System to estimate annual area burned at 2.5 degrees (latitude x longitude) resolution using a Multivariate Adaptive Regression Spline (MARS) approach across Alaska and Canada. Burned area was substantially more predictable in the western portion of boreal North America than in eastern Canada. Burned area was also not very predictable in areas of substantial topographic relief and in areas along the transition between boreal forest and tundra. At the scale of Alaska and western Canada, the empirical fire models explain on the order of 82% of the variation in annual area burned for the period 1960-2002. July temperature was the most frequently occurring predictor across all models, but the fuel moisture codes for the months June through August (as a group) entered the models as the most important predictors of annual area burned. To predict changes in the temporal and spatial dynamics of fire under future climate, the empirical fire models used output from the Canadian Climate Center CGCM2 global climate model to predict annual area burned through the year 2100 across Alaska and western Canada. Relative to 1991-2000, the results suggest that average area burned per decade will double by 2041-2050 and will increase on the order of 3.5-5.5 times by the last decade of the 21st century. To improve the ability to better predict wildfire across Alaska and Canada, future research should focus on incorporating additional effects of long-term and successional vegetation changes on area burned to account more fully for interactions among fire, climate, and vegetation dynamics.

Notes

Glob. Change Biol.ISI Document Delivery No.: 404EVTimes Cited: 7Cited Reference Count: 75Balshi, Michael S. McGuirez, A. David Duffy, Paul Flannigan, Mike Walsh, John Melillo, JerryNational Science Foundation [ATM-0120468]; Office of Polar Programs [OPP-0531047, OPP-0328282, OPP-0327664]; National Aeronautics and Space Administration [NNG05GD25G]; Bonanza Creek LTER ; NSF [DEB-0423442]; USDA [PNW01-JV11261952-231]; HPCFunding for this study was provided by grants from the National Science Foundation Biocomplexity Program (ATM-0120468) and Office of Polar Programs (OPP-0531047, OPP-0328282, and OPP-0327664), the National Aeronautics and Space Administration North America Carbon Program (NNG05GD25G), and the Bonanza Creek LTER (Long-Term Ecological Research) Program (funded jointly by NSF grant DEB-0423442 and USDA Forest Service, Pacific Northwest Research Station grant PNW01-JV11261952-231). This study was also supported in part by a grant of HPC resources from the Arctic Region Supercomputing Center at the University of Alaska Fairbanks as part of the Department of Defense High Performance Computing Modernization Program.Wiley-blackwell publishing, incMalden

URL<Go to ISI>://000263134600005
DOI10.1111/j.1365-2486.2008.01679.x
Reference number

507

Short TitleAssessing the Response of Area Burned to Changing Climate in Western Boreal North America using a Multivariate Adaptive Regression Splines (MARS) Approach
Citation Key507