Climate change and disruptions to global fire activity

Future disruptions to fire activity will threaten ecosystems and human well-being throughout the world, yet there are few fire projections at global scales and almost none from a broad range of global climate models (GCMs). Here we integrate global fire datasets and environmental covariates to build spatial statistical models of fire probability at a 0.5° resolution and examine environmental controls on fire activity. Fire models are driven by climate norms from 16 GCMs (A2 emissions scenario) to assess the magnitude and direction of change over two time periods, 2010–2039 and 2070–2099. From the ensemble results, we identify areas of consensus for increases or decreases in fire activity, as well as areas where GCMs disagree. Although certain biomes are sensitive to constraints on biomass productivity and others to atmospheric conditions promoting combustion, substantial and rapid shifts are projected for future fire activity across vast portions of the globe. In the near term, the most consistent increases in fire activity occur in biomes with already somewhat warm climates; decreases are less pronounced and concentrated primarily in a few tropical and subtropical biomes. However, models do not agree on the direction of near-term changes across more than 50% of terrestrial lands, highlighting major uncertainties in the next few decades. By the end of the century, the magnitude and the agreement in direction of change are projected to increase substantially. Most far-term model agreement on increasing fire probabilities (∼62%) occurs at mid- to high-latitudes, while agreement on decreasing probabilities (∼20%) is mainly in the tropics. Although our global models demonstrate that long-term environmental norms are very successful at capturing chronic fire probability patterns, future work is necessary to assess how much more explanatory power would be added through interannual variation in climate variables. This study provides a first examination of global disruptions to fire activity using an empirically based statistical framework and a multi-model ensemble of GCM projections, an important step toward assessing fire-related vulnerabilities to humans and the ecosystems upon which they depend.

[1]  D. Shindell,et al.  Driving forces of global wildfires over the past millennium and the forthcoming century , 2010, Proceedings of the National Academy of Sciences.

[2]  P. White,et al.  Environmental drivers of large, infrequent wildfires: the emerging conceptual model , 2007 .

[3]  D. Nepstad,et al.  Positive feedbacks in the fire dynamic of closed canopy tropical forests , 1999, Science.

[4]  Christopher I. Roos,et al.  Fire in the Earth System , 2009, Science.

[5]  R. Bradstock.  A biogeographic model of fire regimes in Australia: current and future implications , 2010 .

[6]  B. R. Ramesh,et al.  Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India , 2012 .

[7]  F. Hu,et al.  Frequent Fires in Ancient Shrub Tundra: Implications of Paleorecords for Arctic Environmental Change , 2008, PloS one.

[8]  D. Peterson,et al.  Climate and wildfire area burned in western U.S. ecoprovinces, 1916-2003. , 2009, Ecological applications : a publication of the Ecological Society of America.

[9]  D. Richardson,et al.  Effects of Invasive Alien Plants on Fire Regimes , 2004 .

[10]  A. Fischlin,et al.  Ecosystems, their properties, goods and services , 2007 .

[11]  C. Graham,et al.  The ability of climate envelope models to predict the effect of climate change on species distributions , 2006 .

[12]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[13]  Christopher I. Roos,et al.  The human dimension of fire regimes on Earth , 2011, Journal of biogeography.

[14]  M. G. Ryan,et al.  Continued warming could transform Greater Yellowstone fire regimes by mid-21st century , 2011, Proceedings of the National Academy of Sciences.

[15]  T. Swetnam,et al.  Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity , 2006, Science.

[16]  M. Mudelsee,et al.  Heterogeneous response of circumboreal wildfire risk to climate change since the early 1900s , 2009 .

[17]  M. Moritz,et al.  Environmental controls on the distribution of wildfire at multiple spatial scales , 2009 .

[18]  J. Randerson,et al.  Terrestrial ecosystem production: A process model based on global satellite and surface data , 1993 .

[19]  Steven J. Phillips,et al.  The art of modelling range‐shifting species , 2010 .

[20]  A. Weaver,et al.  Detecting the effect of climate change on Canadian forest fires , 2004 .

[21]  A. Wood,et al.  Climate model based consensus on the hydrologic impacts of climate change to the Rio Lempa basin of Central America , 2008 .

[22]  Ichiro Fukumori,et al.  DISTINGUISHING THE ROLES OF NATURAL AND ANTHROPOGENICALLY FORCED DECADAL CLIMATE VARIABILITY Implications for Prediction , 2011 .

[23]  B. W. Wilgen,et al.  Fire and Plants , 1995, Population and Community Biology Series.

[24]  Sandy P. Harrison,et al.  The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model , 2010 .

[25]  Marc L. Imhoff,et al.  Exploring global patterns of net primary production carbon supply and demand using satellite observations and statistical data , 2006 .

[26]  R. Shaw,et al.  Range shifts and adaptive responses to Quaternary climate change. , 2001, Science.

[27]  M. Krawchuk,et al.  Implications of changing climate for global wildland fire , 2009 .

[28]  R. Petit,et al.  Conserving biodiversity under climate change: the rear edge matters. , 2005, Ecology letters.

[29]  Steffen Fritz,et al.  A Global Forest Growing Stock, Biomass and Carbon Map Based on FAO Statistics , 2008 .

[30]  C. Field,et al.  The velocity of climate change , 2009, Nature.

[31]  John E. Walsh,et al.  Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach , 2009 .

[32]  M. Moritz,et al.  Constraints on global fire activity vary across a resource gradient. , 2011, Ecology.

[33]  L. Mearns,et al.  Climate Change and Forest Fire Potential in Russian and Canadian Boreal Forests , 1998 .

[34]  P. Friedlingstein,et al.  Modeling fire and the terrestrial carbon balance , 2011 .

[35]  B. Kirtman,et al.  El Niño in a changing climate , 2009, Nature.

[36]  Scott L. Goodrick,et al.  Trends in global wildfire potential in a changing climate , 2010 .

[37]  Jennifer C. Adam,et al.  Adjustment of global gridded precipitation for systematic bias , 2003 .

[38]  S. Sitch,et al.  The role of fire disturbance for global vegetation dynamics: coupling fire into a Dynamic Global Vegetation Model , 2008 .

[39]  E. Kasischke,et al.  Recent changes in the fire regime across the North American boreal region—Spatial and temporal patterns of burning across Canada and Alaska , 2006 .

[40]  F. Hu,et al.  Vegetation mediated the impacts of postglacial climate change on fire regimes in the south-central Brooks Range, Alaska , 2008 .

[41]  John F. B. Mitchell,et al.  THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research , 2007 .

[42]  C. Beierkuhnlein,et al.  A new generation of climate‐change experiments: events, not trends , 2007 .

[43]  M. Araújo,et al.  21st century climate change threatens mountain flora unequally across Europe , 2011 .

[44]  W. Thuiller,et al.  Comparing niche- and process-based models to reduce prediction uncertainty in species range shifts under climate change. , 2009, Ecology.

[45]  Jeffery C. Eidenshink,et al.  Forecasting distributions of large federal-lands fires utilizing satellite and gridded weather information , 2009 .

[46]  V. Lieffers,et al.  Disturbance facilitates rapid range expansion of aspen into higher elevations of the Rocky Mountains under a warming climate , 2009 .

[47]  Vivek K. Arora,et al.  Fire as an interactive component of dynamic vegetation models , 2005 .

[48]  Paul W. Stackhouse,et al.  Climate-induced boreal forest change: Predictions versus current observations , 2007 .

[49]  M. Moritz,et al.  Global Pyrogeography: the Current and Future Distribution of Wildfire , 2009, PloS one.

[50]  Juli G. Pausas,et al.  Fire regime changes in the Western Mediterranean Basin: from fuel-limited to drought-driven fire regime , 2011, Climatic Change.

[51]  W. Knorr,et al.  A climate-change risk analysis for world ecosystems , 2006, Proceedings of the National Academy of Sciences.

[52]  J. Pereira,et al.  Screening the ESA ATSR-2 World Fire Atlas (1997 2002) , 2005 .

[53]  T. Swetnam,et al.  Fire-Southern Oscillation Relations in the Southwestern United States , 1990, Science.

[54]  Miroslav Dudík,et al.  Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation , 2008 .

[55]  R. B. Jackson,et al.  CO 2 emissions from forest loss , 2009 .

[56]  Josep Piñol,et al.  Climate Warming, Wildfire Hazard, and Wildfire Occurrence in Coastal Eastern Spain , 1998 .

[57]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[58]  Cathy Whitlock,et al.  Paleoecological Perspectives on Fire Ecology: Revisiting the Fire-Regime Concept~!2009-09-02~!2009-11-09~!2010-03-05~! , 2010 .

[59]  W. Thuiller,et al.  Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.

[60]  D. Roy,et al.  What limits fire? An examination of drivers of burnt area in Southern Africa , 2009 .

[61]  J. Randerson,et al.  Climate controls on the variability of fires in the tropics and subtropics , 2008 .

[62]  P. Vitousek,et al.  Biological invasions by exotic grasses, the grass/fire cycle, and global change , 1992 .

[63]  Brendan A. Wintle,et al.  Correlative and mechanistic models of species distribution provide congruent forecasts under climate change , 2010 .

[64]  W. Cramer,et al.  Relationship between fire, climate oscillations, and drought in British Columbia, Canada, 1920–2000 , 2010 .

[65]  D. Lettenmaier,et al.  Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs , 2004 .

[66]  K. Chomitz,et al.  Protected area effectiveness in reducing tropical deforestation : a global analysis of the impact of protection status , 2009 .

[67]  C. Justice,et al.  Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors , 2006 .

[68]  Johann G. Goldammer,et al.  Strategy for a fire module in dynamic global vegetation models , 1999 .

[69]  F. Joos,et al.  Climate and human influences on global biomass burning over the past two millennia , 2008 .

[70]  D. Wuebbles,et al.  Assessing General Circulation Model Simulations of Atmospheric Teleconnection Patterns , 2009 .

[71]  J. Greenberg,et al.  Spatial variability in wildfire probability across the western United States , 2012 .

[72]  Ronald P. Neilson,et al.  Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change. , 2010 .

[73]  G. Powell,et al.  Terrestrial Ecoregions of the World: A New Map of Life on Earth , 2001 .

[74]  F. Woodward,et al.  Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate , 2010, Science.

[75]  Donald McKenzie,et al.  Climatic Change, Wildfire, and Conservation , 2004 .

[76]  D. Morton,et al.  Modeling fire-driven deforestation potential in Amazonia under current and projected climate conditions , 2010 .

[77]  David L. Verbyla,et al.  Carbon loss from an unprecedented Arctic tundra wildfire , 2011, Nature.

[78]  M. Flannigan,et al.  Future Area Burned in Canada , 2005 .

[79]  Andrew Aldersley,et al.  Global and regional analysis of climate and human drivers of wildfire. , 2011, The Science of the total environment.

[80]  Marco E. Morais,et al.  Wildfires, complexity, and highly optimized tolerance. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[81]  Donald McKenzie,et al.  Managing uncertainty in climate‐driven ecological models to inform adaptation to climate change , 2011 .

[82]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[83]  Antoine Guisan,et al.  Climatic extremes improve predictions of spatial patterns of tree species , 2009, Proceedings of the National Academy of Sciences.