Quantifying influences and relative importance of fire weather, topography, and vegetation on fire size and fire severity in a Chinese boreal forest landscape

Forest Ecology and Management

Volumn 356, Issue , 2015, Pages 2-12

  Fang, Lei ^a   Yang, Jian ^d   Zu, Jiaxing ^a,b   Li, Guicai ^c   Zhang, Jiashen ^c  

^a INSTITUTE OF APPLIED ECOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c NATIONAL SATELLITE METEOROLOGICAL CENTER   (China)

^d UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Canadian fire weather index; Environmental drivers; Fire severity; Fire size; Great Xing'an Mountains; Landsat

Indexed keywords

CLIMATE CHANGE; ECOSYSTEMS; ENVIRONMENTAL DESIGN; FORESTRY; TOPOGRAPHY; VEGETATION;

FIRE SEVERITY; FIRE SIZE; FIRE WEATHER INDEX; GREAT XING'AN MOUNTAINS; LANDSAT;

FIRES;

BOREAL FOREST; CLIMATE CHANGE; ENVIRONMENTAL FACTOR; FIRE BEHAVIOR; FUEL CONSUMPTION; HETEROGENEITY; LANDSAT; LANDSCAPE CHANGE; QUANTITATIVE ANALYSIS; SPATIAL ANALYSIS; TOPOGRAPHY;

CHINA; DA HINGGAN MOUNTAINS;

EID: 84945492938     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2015.01.011     Document Type: Article

References (105)

1. Agee J.K., Skinner C.N. Basic principles of forest fuel reduction treatments. For. Ecol. Manage. 2005, 211:83-96.
2. Alexander J.D., Seavy N.E., Ralph C.J., Hogoboom B. Vegetation and topographical correlates of fire severity from two fires in the Klamath-Siskiyou region of Oregon and California. Int. J. Wildland Fire 2006, 15:237-245.
3. Arroyo L.A., Pascual C., Manzanera J.A. Fire models and methods to map fuel types: the role of remote sensing. For. Ecol. Manage. 2008, 256:1239-1252.
4. Beck P.S., Goetz S.J., Mack M.C., Alexander H.D., Jin Y., Randerson J.T., Loranty M. The impacts and implications of an intensifying fire regime on Alaskan boreal forest composition and albedo. Glob. Change Biol. 2011, 17:2853-2866.
5. Beers T.W., Dress P.E., Wensel L.C. Aspect transformation in site productivity research. J. Forest. 1966, 64:691-692.
6. Bernhardt E.L., Hollingsworth T.N., Chapin F.S. Fire severity mediates climate-driven shifts in understorey community composition of black spruce stands of interior Alaska. J. Veg. Sci. 2011, 22:32-44.
7. Bessie W., Johnson E. The relative importance of fuels and weather on fire behavior in subalpine forests. Ecology 1995, 76:747-762.
8. Bigler C., Kulakowski D., Veblen T.T. Multiple disturbance interactions and drought influence fire severity in Rocky Mountain subalpine forests. Ecology 2005, 86:3018-3029.
9. Boulanger Y., Gauthier S., Gray D.R., Le Goff H., Lefort P., Morissette J. Fire regime zonation under current and future climate over eastern Canada. Ecol. Appl. 2013, 23:904-923.
10. Breiman, L., 1996. Bagging predictors. Machine learning 24, pp. 123-140.
11. Cai W., Yang J., Liu Z., Hu Y., Weisberg P.J. Post-fire tree recruitment of a boreal larch forest in Northeast China. For. Ecol. Manage. 2013, 307:20-29.
12. Canty M.J., Nielsen A.A. Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation. Remote Sens. Environ. 2008, 112:1025-1036.
13. Cansler C.A., McKenzie D. Climate, fire size, and biophysical setting control fire severity and spatial pattern in the northern Cascade Range, USA. Ecol. Appl.: Publ. Ecol. Soc. Am. 2014, 24:1037-1056.
14. Cary G.J., Keane R.E., Gardner R.H., Lavorel S., Flannigan M.D., Davies I.D., Li C., Lenihan J.M., Rupp T.S., Mouillot F. Comparison of the sensitivity of landscape-fire-succession models to variation in terrain, fuel pattern, climate and weather. Landscape Ecol. 2006, 21:121-137.
15. Chander G., Markham B.L., Helder D.L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens. Environ. 2009, 113:893-903.
16. Chang Y., He H.S., Hu Y., Bu R., Li X. Historic and current fire regimes in the Great Xing'an Mountains, northeastern China: implications for long-term forest management. For. Ecol. Manage. 2008, 254:445-453.
17. Clarke P.J., Knox K.J.E., Bradstock R.A., Munoz-Robles C., Kumar L. Vegetation, terrain and fire history shape the impact of extreme weather on fire severity and ecosystem response. J. Veg. Sci. 2014, 25:1033-1044.
18. Collins B.M. Fire weather and large fire potential in the northern Sierra Nevada. Agric. For. Meteorol. 2014, 189:30-35.
19. Conard S.G., Sukhinin A.I., Stocks B.J., Cahoon D.R., Davidenko E.P., Ivanova G.A. Determining effects of area burned and fire severity on carbon cycling and emissions in Siberia. Climatic Change 2002, 55:197-211.
20. Cyr D., Gauthier S., Bergeron Y. Scale-dependent determinants of heterogeneity in fire frequency in a coniferous boreal forest of eastern Canada. Landscape Ecol. 2007, 22:1325-1339.
21. De'Ath G. Boosted trees for ecological modeling and prediction. Ecology 2007, 88:243-251.
22. de Groot W.J., Landry R., Kurz W.A., Anderson K.R., Englefield P., Fraser R.H., Hall R.J., Raymond D.A., Decker V., Lynham T.J. Estimating direct carbon emissions from Canadian wildland fires. Int. J. Wildland Fire 2007, 16:593-606.
23. de Groot W.J., Flannigan M.D., Cantin A.S. Climate change impacts on future boreal fire regimes. For. Ecol. Manage. 2013, 294:35-44.
24. Dennison P.E., Roberts D.A. The effects of vegetation phenology on endmember selection and species mapping in southern California chaparral. Remote Sens. Environ. 2003, 87:295-309.
25. Dillon, G.K., Holden, Z.A., Morgan, P., Crimmins, M.A., Heyerdahl, E.K., Luce, C.H., 2011. Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006. Ecosphere 2, art130.
26. Dymond C.C., Mladenoff D.J., Radeloff V.C. Phenological differences in Tasseled Cap indices improve deciduous forest classification. Remote Sens. Environ. 2002, 80:460-472.
27. Eidenshink J., Schwind B., Brewer K., Zhu Z., Quayle B., Howard S. A project for monitoring trends in burn severity. Fire Ecology Special Issue 2007, 3:4.
28. Elith J., Leathwick J.R., Hastie T. A working guide to boosted regression trees. J. Anim. Ecol. 2008, 77:802-813.
29. Falk D.A., Miller C., McKenzie D., Black A.E. Cross-scale analysis of fire regimes. Ecosystems 2007, 10:809-823.
30. Fang L., Yang J. Atmospheric effects on the performance and threshold extrapolation of multi-temporal Landsat derived dNBR for burn severity assessment. Int. J. Appl. Earth Obs. Geoinf. 2014, 33:10-20.
31. Flannigan M., Cantin A.S., de Groot W.J., Wotton M., Newbery A., Gowman L.M. Global wildland fire season severity in the 21st century. For. Ecol. Manage. 2013, 294:54-61.
32. Flannigan M., Logan K., Amiro B., Skinner W., Stocks B. Future area burned in Canada. Climatic Change 2005, 72:1-16.
33. Flannigan M.D., Krawchuk M.A., de Groot W.J., Wotton B.M., Gowman L.M. Implications of changing climate for global wildland fire. International Journal of Wildland Fire 2009, 18:483-507.
34. Fox, J. and Weisberg, S., 2011, Companion to Applied Regression. R package version 2.0-11, Available at https://r-forge.r-project.org/projects/car/.
35. Franklin J. Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Prog. Phys. Geogr. 1995, 19:474-499.
36. French, N.H.F., Goovaerts, P., Kasischke, E.S., 2004. Uncertainty in estimating carbon emissions from boreal forest fires. J Geophys Res-Atmos 109.
37. French N.H.F., Kasischke E.S., Hall R.J., Murphy K.A., Verbyla D.L., Hoy E.E., Allen J.L. Using Landsat data to assess fire and burn severity in the North American boreal forest region: an overview and summary of results. International Journal of Wildland Fire 2008, 17:443-462.
38. Friedl M.A., Brodley C.E. Decision tree classification of land cover from remotely sensed data. Remote Sens. Environ. 1997, 61:399-409.
39. Gillett, N., Weaver, A., Zwiers, F., Flannigan, M., 2004. Detecting the effect of climate change on Canadian forest fires. Geophysical Research Letters 31.
40. Harden J., Trumbore S., Stocks B., Hirsch A., Gower S., O'neill K., Kasischke E. The role of fire in the boreal carbon budget. Glob. Change Biol. 2000, 6:174-184.
41. Harrell, F.E., 2014. Harrell Miscellaneous. R package version 3.14-5, Available at http://cran.r-project.org/web/packages/Hmisc/.
42. Hart S.A., Chen H.Y. Fire, logging, and overstory affect understory abundance, diversity, and composition in boreal forest. Ecol. Monogr. 2008, 78:123-140.
43. Holden Z.A., Morgan P., Evans J.S. A predictive model of burn severity based on 20-year satellite-inferred burn severity data in a large southwestern US wilderness area. For. Ecol. Manage. 2009, 258:2399-2406.
44. Hu H., Wei S., Sun L. Estimation of carbon emissions due to forest fire in Daxing' an Mountains from 1965 to 2010. Chinese Journal of Plant Ecology 2012, 36:629-644.
45. Johnstone J.F., Rupp T.S., Olson M., Verbyla D. Modeling impacts of fire severity on successional trajectories and future fire behavior in Alaskan boreal forests. Landscape Ecol. 2011, 26:487-500.
46. Kanamitsu M., Ebisuzaki W., Woollen J., Yang S.-K., Hnilo J., Fiorino M., Potter G. Ncep-doe amip-ii reanalysis (r-2). Bull. Am. Meteorol. Soc. 2002, 83:1631-1643.
47. Kasischke E.S., Christensen N., Stocks B.J. Fire, global warming, and the carbon balance of boreal forests. Ecol. Appl. 1995, 437-451.
48. Kasischke E.S., Turetsky M.R. Recent changes in the fire regime across the North American boreal region-spatial and temporal patterns of burning across Canada and Alaska. Geophys. Res. Lett. 2006, 33:L09703.
49. Key, C.H., Benson, N.C., 2006. Landscape Assessment (LA). FIREMON: Fire effects monitoring and inventory system. In, General technical report RMRS-GTR-164-CD.
50. Kobak K., Turcmnovich I.Y., Kondrasiheva N.Y., Schulze E.-D., Schulze W., Koch H., Vygodskaya N. Vulnerability and adaptation of the larch forest in eastern Siberia to climate change. Water Air Soil Pollut. 1996, 92:119-127.
51. Kobayashi M., Yury P.N., Olga A.Z., Takuya K., Yojiro M., Toshiya Y., Fuyuki S., Kaichiro S., Takayoshi K. Regeneration after Forest Fires in mixed Conifer Broad-leaved Forests of the Amur Region in Far Eastern Russia: the Relationship between Species Specific Traits Against Fire and Recent Fire Regimes. Eurasian Journal of Forest Research 2007, 10:51-58.
52. Kong J., Yang J., Chu H., Xiang X. Effects of wildfire and topography on soil nitrogen availability in a boreal larch forest of north-eastern China. International Journal of Wildland Fire 2015, 10.1071/WF13218.
53. Krawchuk M.A., Cumming S.G., Flannigan M.D. Predicted changes in fire weather suggest increases in lightning fire initiation and future area burned in the mixedwood boreal forest. Climatic Change 2009, 92:83-97.
54. Lee S.W., Lee M.B., Lee Y.G., Won M.S., Kim J.J., Hong S.k. Relationship between landscape structure and burn severity at the landscape and class levels in Samchuck, South Korea. For. Ecol. Manage. 2009, 258:1594-1604.
55. Lentile L.B., Holden Z.A., Smith A.M.S., Falkowski M.J., Hudak A.T., Morgan P., Lewis S.A., Gessler P.E., Benson N.C. Remote sensing techniques to assess active fire characteristics and post-fire effects. International Journal of Wildland Fire 2006, 15:319-345.
56. Lentile L.B., Smith F.W., Shepperd W.D. Influence of topography and forest structure on patterns of mixed severity fire in ponderosa pine forests of the South Dakota Black Hills, USA. International Journal of Wildland Fire 2006, 15:557-566.
57. Liu Z.H., Yang J., He H.S. Identifying the threshold of dominant controls on fire spread in a boreal forest landscape of northeast China. PLoS ONE 2013, 8:e55618.
58. Liu Z.H., Yang J., Chang Y., Weisberg P.J., He H.S. Spatial patterns and drivers of fire occurrence and its future trend under climate change in a boreal forest of Northeast China. Glob. Change Biol. 2012, 18:2041-2056.
59. Lutz J.A., Key C., Kolden C., Kane J., van Wagtendonk J. Fire frequency, area burned, and severity: a quantitative approach to defining a normal fire year. Fire Ecology 2011, 7:51-65.
60. Margolis E.Q., Balmat J. Fire history and fire-climate relationships along a fire regime gradient in the Santa Fe Municipal Watershed, NM, USA. For. Ecol. Manage. 2009, 258:2416-2430.
61. Masek J.G., Huang C., Wolfe R., Cohen W., Hall F., Kutler J., Nelson P. North American forest disturbance mapped from a decadal Landsat record. Remote Sens. Environ. 2008, 112:2914-2926.
62. Meyn A., White P.S., Buhk C., Jentsch A. Environmental drivers of large, infrequent wildfires: the emerging conceptual model. Prog. Phys. Geogr. 2007, 31:287-312.
63. Miller J.D., Thode A.E. Quantifying burn severity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sens. Environ. 2007, 109:66-80.
64. Miller J., Skinner C., Safford H., Knapp E.E., Ramirez C. Trends and causes of severity, size, and number of fires in northwestern California, USA. Ecol. Appl. 2012, 22:184-203.
65. Moritz M.A., Morais M.E., Summerell L.A., Carlson J., Doyle J. Wildfires, complexity, and highly optimized tolerance. Proc. Natl. Acad. Sci. U.S.A. 2005, 102:17912-17917.
66. O'Connor C.D., Falk D.A., Lynch A.M., Swetnam T.W. Fire severity, size, and climate associations diverge from historical precedent along an ecological gradient in the Pinaleño Mountains, Arizona, USA. For. Ecol. Manage. 2014, 329:264-278.
67. Parisien M.A., Parks S.A., Krawchuk M.A., Flannigan M.D., Bowman L.M., Moritz M.A. Scale-dependent controls on the area burned in the boreal forest of Canada, 1980-2005. Ecol. Appl. 2011, 21:789-805.
68. Parisien M.A., Moritz M.A. Environmental controls on the distribution of wildfire at multiple spatial scales. Ecol. Monogr. 2009, 79:127-154.
69. Parks, S.A., Parisien, M.A., Miller, C., 2012. Spatial bottom-up controls on fire likelihood vary across western North America. Ecosphere 3, art12.
70. Parks S.A., Parisien M.A., Miller C., Dobrowski S.Z. Fire activity and severity in the western US vary along proxy gradients representing fuel amount and fuel moisture. PLoS ONE 2014, 9:e99699.
71. Parks S.A. Mapping day-of-burning with coarse-resolution satellite fire-detection data. Int. J. Wildland Fire 2014, 23:215-223.
72. Peters D.P., Bestelmeyer B.T., Turner M.G. Cross-scale interactions and changing pattern-process relationships: consequences for system dynamics. Ecosystems 2007, 10:790-796.
73. Peters D.P., Pielke R.A., Bestelmeyer B.T., Allen C.D., Munson-McGee S., Havstad K.M. Cross-scale interactions, nonlinearities, and forecasting catastrophic events. Proc. Natl. Acad. Sci. U.S.A. 2004, 101:15130-15135.
74. Podur J.J., Martell D.L. The influence of weather and fuel type on the fuel composition of the area burned by forest fires in Ontario, 1996-2006. Ecol. Appl. 2009, 19:1246-1252.
75. Rollins M.G., Keane R.E., Parsons R.A. Mapping fuels and fire regimes using remote sensing, ecosystem simulation, and gradient modeling. Ecol. Appl. 2004, 14:75-95.
76. Ryan K.C. Dynamic interactions between forest structure and fire behavior in boreal ecosystems. Silva Fennica 2002, 36:13-39.
77. Schoennagel T., Veblen T.T., Romme W.H. The interaction of fire, fuels, and climate across Rocky Mountain forests. Bioscience 2004, 54:661-676.
78. Shu L., Wang M., Li Z., Xiao R., Tian X. Dwarf Siberian pine forest fire environment in Daxingan Mountains. J. Mount. Sci. 2004, 22:36-39.
79. Slocum M.G., Beckage B., Platt W.J., Orzell S.L., Taylor W. Effect of climate on wildfire size: a cross-scale analysis. Ecosystems 2010, 13:828-840.
80. Soverel N.O., Perrakis D.D.B., Coops N.C. Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada. Remote Sens. Environ. 2010, 114:1896-1909.
81. Soverel N.O., Coops N.C., Perrakis D.D.B., Daniels L.D., Gergel S.E. The transferability of a dNBR-derived model to predict burn severity across 10 wildland fires in western Canada. Int. J. Wildland Fire 2011, 20:518-531.
82. Stocks B., Wotton B., Flannigan M., Fosberg M., Cahoon D., Goldammer J. Boreal forest fire regimes and climate change. Remote Sens. Climate Model.: Synergies Limit. 2003, 233-246.
83. Syphard A.D., Radeloff V.C., Keuler N.S., Taylor R.S., Hawbaker T.J., Stewart S.I., Clayton M.K. Predicting spatial patterns of fire on a southern California landscape. Int. J. Wildland Fire 2008, 17:602-613.
84. Tian X., Zhao F., Shu L., Wang M. Distribution characteristics and the influence factors of forest fires in China. For. Ecol. Manage. 2013, 310:460-467.
85. Tian X., McRae D., Jin J., Shu L., Zhao F., Wang M. Changes of forest fire danger and the evaluation of the FWI system application in the Daxing'anling region. Scientia silvae sinicae 2010, 46:127-132.
86. Turetsky M.R., Kane E.S., Harden J.W., Ottmar R.D., Manies K.L., Hoy E., Kasischke E.S. Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands. Nat. Geosci. 2010, 4:27-31.
87. Turner M.G., Romme W.H., Gardner R.H. Prefire heterogeneity, fire severity, and early postfire plant reestablishment in subalpine forests of Yellowstone National Park, Wyoming. Int. J. Wildland Fire 1999, 9:21-36.
88. Turner M.G., Romme W.H., Gardner R.H., Hargrove W.W. Effects of fire size and pattern on early succession in Yellowstone National Park. Ecol. Monogr. 1997, 67:411-433.
89. van Mantgem P.J., Nesmith J.C., Keifer M., Knapp E.E., Flint A., Flint L. Climatic stress increases forest fire severity across the western United States. Ecol. Lett. 2013, 16:1151-1156.
90. Van Wagner, C., 1987. Development and structure of the Canadian forest fire weather index system.
91. Vermote E.F., Tanre D., Deuze J.L., Herman M., Morcrette J.J. Second simulation of the satellite signal in the solar spectrum, 6S: an overview. IEEE Trans. Geosci. Remote Sens. 1997, 35:675-686.
92. Wang C., Gower S.T., Wang Y., Zhao H., Yan P., Lamberty B.P. The influence of fire on carbon distribution and net primary production of boreal Larix gmelinii forests in north-eastern China. Glob. Change Biol. 2001, 7:719-730.
93. Westerling A.L., Hidalgo H.G., Cayan D.R., Swetnam T.W. Warming and earlier spring increase western US forest wildfire activity. Science 2006, 313:940-943.
94. Whelan R.J. The Ecology of Fire 1995, Cambridge University Press.
95. Whitlock C., Higuera P.E., McWethy D.B., Briles C.E. Paleoecological perspectives on fire ecology: revisiting the fire-regime concept. Open Ecol. J. 2010.
96. Wimberly M.C., Reilly M.J. Assessment of fire severity and species diversity in the southern Appalachians using Landsat TM and ETM+ imagery. Remote Sens. Environ. 2007, 108:189-197.
97. Wotton B., Flannigan M. Length of the fire season in a changing climate. Forestry Chron. 1993, 69:187-192.
98. Wu Z., He H.S., Liang Y., Cai L., Lewis B.J. Determining relative contributions of vegetation and topography to burn severity from LANDSAT imagery. Environ. Manage. 2013, 52:821-836.
99. Wu Z., He H.S., Liu Z., Liang Y. Comparing fuel reduction treatments for reducing wildfire size and intensity in a boreal forest landscape of northeastern China. Sci. Total Environ. 2013, 454:30-39.
100. Xu H., Li Z., Qiu Y. Fire disturbance history in virgin forest in northern region of Daxinganling Mountains. Acta Ecologica Sinica 1997, 17:337-343.
101. Yang J., He H.S., Shifley S.R. Spatial controls of occurrence and spread of wildfires in the Missouri Ozark Highlands. Ecol. Appl. 2008, 18:1212-1225.
102. Yang J., Dilts T.E., Condon L.A., Turner P.L., Weisberg P.J. Longitudinal- and transverse-scale environmental influences on riparian vegetation across multiple levels of ecological organization. Landscape Ecol. 2011, 26:381-395.
103. Zhang Y.P., Hu H.Q. Climatic change and its impact on forest fire in Daxing'anling Mountains. J. Northeast For. Univ. 2008, 36:29-31.
104. Zhu, Z., Key, C., Ohlen, D., Benson, N., 2006. Evaluate sensitivities of burn severity mapping algorithms for different ecosystems and fire histories in the United States. Final report JFSP 01-1-4-12. In, October, p. 35.
105. Zuur A.F., Ieno E.N., Elphick C.S. A protocol for data exploration to avoid common statistical problems. Methods Ecol. Evol. 2010, 1:3-14.