Improved simulation of fire-vegetation interactions in the Land surface Processes and eXchanges dynamic global vegetation model (LPX-Mv1)

Geoscientific Model Development

Volumn 7, Issue 5, 2014, Pages 2411-2433

  Kelley, D I ^a   Harrison, S P ^a,b   Prentice, I C ^a,c  

^a MACQUARIE UNIVERSITY   (Australia)

^b Geography and Environmental Science   (United Kingdom)

^c AXA Department of Biosphere and Climate Impacts Grantham Institute for Climate Change Department of Life Sciences   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNITY COMPOSITION; DATA SET; DECOMPOSITION; ECOLOGICAL MODELING; LAND SURFACE; LIGHTNING; MOISTURE CONTENT; NUMERICAL MODEL; RESPROUTING; SAVANNA; VEGETATION STRUCTURE; WATER CONTENT; WILDFIRE;

AUSTRALIA;

EID: 84907419577     PISSN: 1991959X     EISSN: 19919603     Source Type: Journal    
DOI: 10.5194/gmd-7-2411-2014     Document Type: Article

References (112)

1. Albini, F. A.: Estimating wildfire behavior and effects, Intermountain Forest and Range Experiment Station, Forest Service, US Department of Agriculture, 1976.
2. Anderson, D. H., Catchpole, E. A., De Mestre, N. J., and Parkes, T.: Modelling the spread of grass fires, J. Aust. Math. Soc., 23, 451-466, 1982.
3. Archibald, S., Roy, D. P., van Wilgen, B. W., and Scholes, R. J.: What limits fire?, an examination of drivers of burnt area in southern Africa, Glob. Change Biol., 15, 613-630, doi:10.1111/j.1365-2486.2008.01754.x, 2009.
4. Archibald, S., Staver, A. C., and Levin, S. A.: Evolution of humandriven fire regimes in Africa, P. Natl. Acad. Sci. USA, 109, 847-852, doi:10.1073/pnas.1118648109, 2012.
5. Arora, V. K., and Boer, G. J.: Fire as an interactive component of dynamic vegetation models, J. Geophys. Res., 110, G02008, doi:10.1029/2005JG000042, 2005.
6. Barrett, D. J.: NPP multi-biome: VAST calibration data, 1965-1998, available at: http://www.daac.ornl.gov (last access: 13 January 2011), 2001.
7. Bellingham, P. J. and Sparrow, A. D.: Resprouting as a life history strategy in woody plant communities, Oikos, 89, 409-416, 2000.
8. Biganzoli, F., Wiegand, T., and Batista, W. B.: Fire-mediated interactions between shrubs in a South American temperate savannah, Oikos, 118, 1383-1395, doi:10.1111/j.1600-0706.2009.17349.x, 2009.
9. Bistinas, I., Harrison, S. P., Prentice, I. C., and Pereira, J. M. C.: Causal relationships vs. emergent patterns in the global controls of fire frequency, Biogeosciences Discuss., 11, 3865-3892, doi:10.5194/bgd-11-3865-2014, 2014.
10. Baldocchi, D., Cummins, K. L., Christian, H. J., and Goodman, S. J.: Combined satellite-and surface-based estimation of the intracloud-cloud-to-ground lightning ratio over the continental United States, Mon. Weather Rev., 129, 108-122, 2001.
11. Bond, W. J. and Midgley, J. J.: Ecology of sprouting in woody plants: the persistence niche, Trends Ecol. Evol., 16, 45-51, 2001.
12. Bond,W. J. and VanWilgen, B.W.: Fire and Plants, Population and Community Biology Series, 14, 1-15, 1996.
13. Bowman, D. M. J. S., Balch, J. K., Artaxo, P., Bond, W. J., Carlson, J. M., Cochrane, M. a., D'Antonio, C. M., Defries, R. S., Doyle, J. C., Harrison, S. P., Johnston, F. H., Keeley, J. E., Krawchuk, M. A., Kull, C. A., Marston, J. B., Moritz, M. A., Prentice, I. C., Roos, C. I., Scott, A. C., Swetnam, T. W., van der Werf, G. R., and Pyne, S. J.: Fire in the earth system, Science, 324, 481-484, doi:10.1126/science.1163886, 2009.
14. Bradstock, R.,Williams, R., and Gill, A.: Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World, CSIRO Publishing, 2012.
15. Bradstock, R., Penman, T., Boer, M., Price, O., and Clarke, H.: Divergent responses of fire to recent warming and drying across south-eastern Australia, Glob. Change Biol., 20, 1412-1428, doi:10.1111/gcb.12449, 2014.
16. Brando, P. M., Nepstad, D. C., Balch, J. K., Bolker, B., Christman, M. C., Coe, M., and Putz, F. E.: Fire-induced tree mortality in a neotropical forest: the roles of bark traits, tree size, wood density and fire behavior, Glob. Change Biol., 18, 630-641, doi:10.1111/j.1365-2486.2011.02533.x, 2012.
17. Brovkin, V., van Bodegom, P. M., Kleinen, T., Wirth, C., Cornwell, W. K., Cornelissen, J. H. C., and Kattge, J.: Plant-driven variation in decomposition rates improves projections of global litter stock distribution, Biogeosciences, 9, 565-576, doi:10.5194/bg-9-565-2012, 2012.
18. Calvo, L., Santalla, S., Marcos, E., Valbuena, L., Tárrega, R., and Luis, E.: Regeneration after wildfire in communities dominated by Pinus pinaster, an obligate seeder, and in others dominated by Quercus pyrenaica, a typical resprouter, Forest Ecol. Manag., 184, 209-223, doi:10.1016/S0378-1127(03)00207-X, 2003.
19. Casady, G.: Examining Drivers of Post-Wildfire Vegetation Dynamics Across Multiple Scales Using Time-Series Remote Sensing, ProQuest, 2008.
20. Casady, G. M., van Leeuwen,W. J. D., and Marsh, S. E.: Evaluating post-wildfire vegetation regeneration as a response to multiple environmental determinants, Environ. Model. Assess., 15, 295-307, doi:10.1007/s10666-009-9210-x, 2009.
21. Cha, S.-H.: Comprehensive survey on distance/similarity measures between probability density functions, Int. J. Math. Model. Met. Appl. Sci., 4, 300-307, 2007.
22. Chave, J., Coomes, D., Jansen, S., Lewis, S. L., Swenson, N. G., and Zanne, A. E.: Towards a worldwide wood economics spectrum, Ecol. Lett., 12, 351-366, doi:10.1111/j.1461-0248.2009.01285.x, 2009.
23. Christian, H. J.: Optical detection of lightning from space, in: Proceedings of the 11th International Conference on Atmospheric Electricity, Guntersville, Alabama, 715-718, 1999.
24. Christian, H. J., Blakeslee, R. J., Goodman, S. J., Mach, D. A., Stewart, M. F., Buechler, D. E., Koshak, W. J., Hall, J. M., Boeck, W. L., Driscoll, K. T., and Bocippio, D. J.: The lightning imaging sensor, in: Proceedings of the 11th International Conference On Atmospheric Electricity, Guntersville, Alabama, 746-749, 1999.
25. Clarke, P. J., Lawes, M. J., Midgley, J. J., Lamont, B. B., Ojeda, F., Burrows, G. E., Enright, N. J., and Knox, K. J. E.: Resprouting as a key functional trait: how buds, protection and resources drive persistence after fire, New Phytol., 197, 19-35, doi:10.1111/nph.12001, 2013.
26. Climent, J., Tapias, R., Pardos, J. A., and Gil, L.: Fire adaptations in the Canary Islands pine (Pinus canariensis), Plant Ecol., 171, 185-196, 2004.
27. Cochrane, M. A.: Fire science for rainforests, Nature, 421, 913-919, doi:10.1038/nature01437, 2003.
28. Cornwell, W. K., Cornelissen, J. H. C., Amatangelo, K., Dorrepaal, E., Eviner, V. T., Godoy, O., Hobbie, S. E., Hoorens, B., Kurokawa, H., Pérez-Harguindeguy, N., Quested, H. M., Santiago, L. S., Wardle, D. A., Wright, I. J., Aerts, R., Allison, S. D., van Bodegom, P., Brovkin, V., Chatain, A., Callaghan, T. V., Díaz, S., Garnier, E., Gurvich, D. E., Kazakou, E., Klein, J. A., Read, J., Reich, P. B., Soudzilovskaia, N. A., Vaieretti, M. V., and Westoby, M.: Plant species traits are the predominant control on litter decomposition rates within biomes worldwide, Ecol. Lett., 11, 1065-71, doi:10.1111/j.1461-0248.2008.01219.x, 2008.
29. Cornwell, W. K., Cornelissen, J. H. C., Allison, S. D., Bauhus, J., Eggleton, P., Preston, C. M., Scarff, F., Weedon, J. T., Wirth, C., and Zanne, A. E.: Plant traits and wood fates across the globe: rotted, burned, or consumed?, Glob. Change Biol., 15, 2431-2449, doi:10.1111/j.1365-2486.2009.01916.x, 2009.
30. Crisp, M. D., Burrows, G. E., Cook, L. G., Thornhill, A. H., and Bowman, D. M. J. S.: Flammable biomes dominated by eucalypts originated at the Cretaceous-Palaeogene boundary, Nature Com., 2, 193, doi:10.1038/ncomms1191, 2011.
31. Cummins, K. and Murphy, M.: An overview of lightning locating systems: history, techniques, and data uses, with an in-depth look at the US NLDN, electromagnetic compatibility, IEEE, 51, 499-518, 2009.
32. Dagit, R.: Post-fire monitoring of coast live Oaks (Quercus agrifolia) burned in the 1993 Old Topanga fire, Proceedings of the Fifth Natural Resources, 90290, 243-249, 2002.
33. DeFries, R. and Hansen, M.: ISLSCP II Continuous fields of vegetation cover, 1992-1993, in: ISLSCP Initiative II Collection, edited by: Hall, F., Collatz, G., Brown de Colstoun, E., Landis, D., Los, S., and Meeson, B., Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA, doi:10.3334/ORNLDAAC/931, 2009.
34. de Souza, P. E., Pinto, O., Pinto, I. R. C. A., Ferreira, N. J., and Dos Santos, A. F.: The intracloud/cloud-to-ground lightning ratio in southeastern Brazil, Atmos. Res., 91, 491-499, 2009.
35. Del Tredici, P.: Sprouting in temperate trees: a morphological and ecological review, Bot. Rev., 67, 121-140, 2001.
36. Foley, J.: An equilibrium model of the terrestrial carbon budget, Tellus B, 47, 310-319, 1995.
37. Friend, A. D.: Parameterisation of a global daily weather generator for terrestrial ecosystem modelling, Ecol. Model., 109, 121-140, doi:10.1016/S0304-3800(98)00036-2, 1998.
38. Fyllas, N. M., Patiño, S., Baker, T. R., Bielefeld Nardoto, G., Martinelli, L. A., Quesada, C. A., Paiva, R., Schwarz, M., Horna, V., Mercado, L. M., Santos, A., Arroyo, L., Jiménez, E. M., Luizão, F. J., Neill, D. A., Silva, N., Prieto, A., Rudas, A., Silviera, M., Vieira, I. C. G., Lopez-Gonzalez, G., Malhi, Y., Phillips, O. L., and Lloyd, J.: Basin-wide variations in foliar properties of Amazonian forest: phylogeny, soils and climate, Biogeosciences, 6, 2677-2708, doi:10.5194/bg-6-2677-2009, 2009.
39. Gallego-Sala, A. V., Clark, J. M., House, J. I., Orr, H. G., Prentice, I. C., Smith, P., Farewell, T., and Chapman, S. J.: Bioclimatic envelope model of climate change impacts on blanket peatland distribution in Great Britain, Clim. Res., 45, 151-162, 2010.
40. Gavin, D. G., Oswald, W. W., Wahl, E. R., and Williams, J. W.: A statistical approach to evaluating distance metrics and analog assignments for pollen records, Quaternary Res., 60, 356-367, 2003.
41. Gerten, D., Schaphoff, S., Haberlandt, U., Lucht, W., and Sitch, S.: Terrestrial vegetation and water balance-hydrological evaluation of a dynamic global vegetation model, J. Hydrol., 286, 249-270, doi:10.1016/j.jhydrol.2003.09.029, 2004.
42. Gharun, M., Turnbull, T. L., and Adams, M. A.: Stand water use status in relation to fire in a mixed species eucalypt forest, Forest Ecol. Manag., 304, 162-170, 2013.
43. Giglio, L., Randerson, J. T., van der Werf, G. R., Kasibhatla, P. S., Collatz, G. J., Morton, D. C., and DeFries, R. S.: Assessing variability and long-term trends in burned area by merging multiple satellite fire products, Biogeosciences, 7, 1171-1186, doi:10.5194/bg-7-1171-2010, 2010.
44. Giglio, L., Randerson, J. T., and Werf, G. R.: Analysis of daily, monthly, and annual burned area using the fourth-generation Global Fire Emissions Database (GFED4), J. Geophys. Res.-Biogeo., 118, 317-328, doi:10.1002/jgrg.20042, 2013.
45. Gobron, N., Pinty, B., Taberner, M., Mélin, F., Verstraete, M. M., and Widlowski, J.-L.: Monitoring the photosynthetic activity of vegetation from remote sensing data, Adv. Space Res., 38, 2196-2202, 2006.
46. Gouveia, C., DaCamara, C. C., and Trigo, R. M.: Post-fire vegetation recovery in Portugal based on spot/vegetation data, Nat. Hazards Earth Syst. Sci., 10, 673-684, doi:10.5194/nhess-10-673-2010, 2010.
47. Greene, D. F., Zasada, J. C., Sirois, L., Kneeshaw, D., Morin, H., Charron, I., and Simard, M.-J.: A review of the regeneration dynamics of north American boreal forest tree species, Can. J. Forest Res., 29, 824-839, 1999.
48. Groot, W. J., Bothwell, P. M., Carlsson, D. H., and Logan, K. A.: Simulating the effects of future fire regimes on western Canadian boreal forests, J. Veg. Sci., 14, 355-364, 2003.
49. Hall, F. G., de Colstoun, E., Collatz, G. J., Landis, D., Dirmeyer, P., Betts, A., Huffman, G. J., Bounoua, L., and Meeson, B.: ISLSCP Initiative II global data sets: surface boundary conditions and atmospheric forcings for land-atmosphere studies, J. Geophys. Res.-Atmos., 111, D22S01, doi:10.1029/2006JD007366, 2006.
50. Halliwell, D. H. and Apps, M. J.: BOReal Ecosystem-Atmosphere Study (BOREAS) biometry and auxiliary sites: overstory and understory data, Northern Forestry Centre Edmonton, Canada, 1997.
51. Harrell Jr., F. E.: Hmisc: Harrell miscellaneous, available at: http://cran.r-project.org/package=Hmisc (last access: 16 December 2013), 2012.
52. Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated high-resolution grids of monthly climatic observations-the CRU TS3.10 Dataset, Int. J. Climatol., doi:10.1002/joc.3711, 2013.
53. Harrison, S. P., Prentice, I. C., Barboni, D., Kohfeld, K. E., Ni, J., and Sutra, J.-P.: Ecophysiological and bioclimatic foundations for a global plant functional classification, J. Veg. Sci., 21, 300-317, doi:10.1111/j.1654-1103.2009.01144.x, 2010.
54. Harrison, S., Kelley, D., Wang, H., Herbert, A., Li, G., Bradstock, R., Fontaine, J., Enright, N., Murphy, B., Penman, T., and Russell-Smith, J.: Patterns in fire-response trait abundances in Australia using a new database of plot-level measurements for fire model evaluation, Global Ecology and Biogeography, submitted, 2014.
55. Hastie, T. J. and Pregibon, D.: Generalized linear models, Chapter 6 of Statistical Models in S, edited by: Chambers, J. M. and Hastie, T. J., Wadsworth & Brooks/Cole, 1992.
56. Higgins, R. W. and Centre, U. C. P.: Improved United States precipitation quality control system and analysis, in: NCEP/Climate Prediction Center ATLAS No. 6, NOAA, National Weather Service, National Centers for Environmental Prediction, Climate Prediction Center, Camp Springs, MD, 2000.
57. Higgins, R. W., Janowiak, J. E., and Yao, Y.-P.: A gridded hourly precipitation data base for the United States (1963-1993), in: NCEP/Climate prediction center atlas 1, p. 46, NOAA, National Weather Service, National Centers for Environmental Prediction, Climate Prediction Center, Camp Springs, MD, 1996.
58. Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.: Very high resolution interpolated climate surfaces for global land areas, Int. J. Climatol., 25, 1965-1978, 2005.
59. Kattge, J., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Bonisch, G., Garnier, E.,Westoby, M., Reich, P. B., Wright, I. J., Cornneilissen, J. H. C., Violle, C., Harrison, S. P., Van Bodegom, P. M., Reichstein, M., Enquist, B. J., Soudzilovskaia, N. A., Ackerly, D. D., Anand, M., Atkin, O., Bahn, M., Baker, T. R., Baldocchi, D., Bekker, R., Blanco, C. C., Blonder, B., Bond, W. J., Bradstock, R., Bunker, D. E., Casanoves, F., Cavender-Bares, J., Chambers, J. Q., Chapin III, F. S., Chave, J., Coomes, D., Cornwell, W. K., Craine, J. M., Dobrin, B. H., Duarte, L., Durka, W., Elser, J., Esser, G., Estiarte, M., Fagan, W. F., Fang, J., Fernandez-Mendez, F., Fidelis, A., Finegan, B., Flores, O., Ford, H., Frank, D., Freschet, G. T., Fyllas, N. M., Gallagher, R. V., Green, W. A., Gutierrez, A. G., Hickler, T., Higgins, S. I., Hodgson, J. G., Jalili, A., Jansen, S., Joly, C. A., Kerkhoff, A. J., Kirkup, D., Kitajima, K., Kleyer, M., Klotz, S., Knops, J. M. H., Kramer, K., Kuhn, I., Kurokawa, H., Laughlin, D., Lee, T. D., Leishman, M., Lens, F., Lenz, T., Lewis, S. L., Lloyd, J., Llusia, J., Louault, F., Ma, S., Mahecha, M. D., Manning, P., Massad, T., Medlyn, B. E., Messier, J., Moles, A. T., Muller, S. C., Nadrowski, K., Naeem, S., Niinemets, U., Nollert, S., Nuske, A., Ogaya, R., Oleksyn, J., Onipchenko, V. G., Onoda, Y., Ordonez, J., Overbeck, G., Ozinga, W. A., Patino, S., Paula, S., Pausas, J. G., Penuelas, J., Phillips, O. L., Pillar, V., Poorter, H., Poorter, L., Poschlod, P., Prinzing, A., Proulx, R., Rammig, A., Reinsch, S., Reu, B., Sack, L., Salgado-Negret, B., Sardans, J., Shiodera, S., Shipley, B., Siefert, A., Sosinski, E., Soussana, J.-F., Swaine, E., Swenson, N., Thompson, K., Thornton, P., Waldram, M., Weiher, E., White, M., White, S., Wright, S. J., Yguel, B., Zaehle, S., Zanne, A. E., and Wirth, C.: TRY-a global database of plant traits, Glob. Change Biol., 17, 2905-2935, doi:10.1111/j.1365-2486.2011.02451.x, 2011.
60. Kauffman, J. B.: Survival by sprouting following fire in tropical forests of the eastern Amazon, Biotropica, 23, 219-224, 1991.
61. Kaufmann, W. F. and Hartmann, K. M.: Earth-based spectroradiometric monitoring of forest decline, J. Plant Physiol., 138, 270-273, 1991.
62. Keeley, J. E.: Fire severity and plant age in postfire resprouting of woody plants in sage scrub and chaparral, Madrono, 53, 373-379, 2006.
63. Kelley, D. I., Prentice, I. C., Harrison, S. P., Wang, H., Simard, M., Fisher, J. B., and Willis, K. O.: A comprehensive benchmarking system for evaluating global vegetation models, Biogeosciences, 10, 3313-3340, doi:10.5194/bg-10-3313-2013, 2013.
64. Kimball, J. S., Running, S. W., and Nemani, R.: An improved method for estimating surface humidity from daily minimum temperature, Agr. Forest Meteorol., 85, 87-98, 1997.
65. Klein Goldewijk, K., Beusen, A., Van Drecht, G., and De Vos, M.: The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years, Global Ecol. Biogeogr., 20, 73-86, 2011.
66. Giglio, L., Randerson, J. T., van der Werf, G. R., Kasibhatla, P. S., Collatz, G. J., Morton, D. C., and DeFries, R. S.: Assessing variability and long-term trends in burned area by merging multiple satellite fire products, Biogeosciences, 7, 1171-1186, doi:10.5194/bg-7-1171-2010, 2010.
67. Giglio, L., Randerson, J. T., and Werf, G. R.: Analysis of daily, monthly, and annual burned area using the fourth-generation Global Fire Emissions Database (GFED4), J. Geophys. Res.-Biogeo., 118, 317-328, doi:10.1002/jgrg.20042, 2013.
68. Gobron, N., Pinty, B., Taberner, M., Mélin, F., Verstraete, M. M., and Widlowski, J.-L.: Monitoring the photosynthetic activity of vegetation from remote sensing data, Adv. Space Res., 38, 2196-2202, 2006.
69. Gouveia, C., DaCamara, C. C., and Trigo, R. M.: Post-fire vegetation recovery in Portugal based on spot/vegetation data, Nat. Hazards Earth Syst. Sci., 10, 673-684, doi:10.5194/nhess-10-673-2010, 2010.
70. Greene, D. F., Zasada, J. C., Sirois, L., Kneeshaw, D., Morin, H., Charron, I., and Simard, M.-J.: A review of the regeneration dynamics of north American boreal forest tree species, Can. J. Forest Res., 29, 824-839, 1999.
71. Groot, W. J., Bothwell, P. M., Carlsson, D. H., and Logan, K. A.: Simulating the effects of future fire regimes on western Canadian boreal forests, J. Veg. Sci., 14, 355-364, 2003.
72. Hall, F. G., de Colstoun, E., Collatz, G. J., Landis, D., Dirmeyer, P., Betts, A., Huffman, G. J., Bounoua, L., and Meeson, B.: ISLSCP Initiative II global data sets: surface boundary conditions and atmospheric forcings for land-atmosphere studies, J. Geophys. Res.-Atmos., 111, D22S01, doi:10.1029/2006JD007366, 2006.
73. Halliwell, D. H. and Apps, M. J.: BOReal Ecosystem-Atmosphere Study (BOREAS) biometry and auxiliary sites: overstory and understory data, Northern Forestry Centre Edmonton, Canada, 1997.
74. Harrell Jr., F. E.: Hmisc: Harrell miscellaneous, available at: http://cran.r-project.org/package=Hmisc (last access: 16 December 2013), 2012.
75. Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated high-resolution grids of monthly climatic observations-the CRU TS3.10 Dataset, Int. J. Climatol., doi:10.1002/joc.3711, 2013.
76. Harrison, S. P., Prentice, I. C., Barboni, D., Kohfeld, K. E., Ni, J., and Sutra, J.-P.: Ecophysiological and bioclimatic foundations for a global plant functional classification, J. Veg. Sci., 21, 300-317, doi:10.1111/j.1654-1103.2009.01144.x, 2010.
77. Harrison, S., Kelley, D., Wang, H., Herbert, A., Li, G., Bradstock, R., Fontaine, J., Enright, N., Murphy, B., Penman, T., and Russell-Smith, J.: Patterns in fire-response trait abundances in Australia using a new database of plot-level measurements for fire model evaluation, Global Ecology and Biogeography, submitted, 2014.
78. Hastie, T. J. and Pregibon, D.: Generalized linear models, Chapter 6 of Statistical Models in S, edited by: Chambers, J. M. and Hastie, T. J., Wadsworth & Brooks/Cole, 1992.
79. Higgins, R. W. and Centre, U. C. P.: Improved United States precipitation quality control system and analysis, in: NCEP/Climate Prediction Center ATLAS No. 6, NOAA, National Weather Service, National Centers for Environmental Prediction, Climate Prediction Center, Camp Springs, MD, 2000.
80. Higgins, R. W., Janowiak, J. E., and Yao, Y.-P.: A gridded hourly precipitation data base for the United States (1963-1993), in: NCEP/Climate prediction center atlas 1, p. 46, NOAA, National Weather Service, National Centers for Environmental Prediction, Climate Prediction Center, Camp Springs, MD, 1996.
81. Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.: Very high resolution interpolated climate surfaces for global land areas, Int. J. Climatol., 25, 1965-1978, 2005.
82. Kattge, J., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Bonisch, G., Garnier, E.,Westoby, M., Reich, P. B., Wright, I. J., Cornneilissen, J. H. C., Violle, C., Harrison, S. P., Van Bodegom, P. M., Reichstein, M., Enquist, B. J., Soudzilovskaia, N. A., Ackerly, D. D., Anand, M., Atkin, O., Bahn, M., Baker, T. R., Baldocchi, D., Bekker, R., Blanco, C. C., Blonder, B., Bond, W. J., Bradstock, R., Bunker, D. E., Casanoves, F., Cavender-Bares, J., Chambers, J. Q., Chapin III, F. S., Chave, J., Coomes, D., Cornwell, W. K., Craine, J. M., Dobrin, B. H., Duarte, L., Durka, W., Elser, J., Esser, G., Estiarte, M., Fagan, W. F., Fang, J., Fernandez-Mendez, F., Fidelis, A., Finegan, B., Flores, O., Ford, H., Frank, D., Freschet, G. T., Fyllas, N. M., Gallagher, R. V., Green, W. A., Gutierrez, A. G., Hickler, T., Higgins, S. I., Hodgson, J. G., Jalili, A., Jansen, S., Joly, C. A., Kerkhoff, A. J., Kirkup, D., Kitajima, K., Kleyer, M., Klotz, S., Knops, J. M. H., Kramer, K., Kuhn, I., Kurokawa, H., Laughlin, D., Lee, T. D., Leishman, M., Lens, F., Lenz, T., Lewis, S. L., Lloyd, J., Llusia, J., Louault, F., Ma, S., Mahecha, M. D., Manning, P., Massad, T., Medlyn, B. E., Messier, J., Moles, A. T., Muller, S. C., Nadrowski, K., Naeem, S., Niinemets, U., Nollert, S., Nuske, A., Ogaya, R., Oleksyn, J., Onipchenko, V. G., Onoda, Y., Ordonez, J., Overbeck, G., Ozinga, W. A., Patino, S., Paula, S., Pausas, J. G., Penuelas, J., Phillips, O. L., Pillar, V., Poorter, H., Poorter, L., Poschlod, P., Prinzing, A., Proulx, R., Rammig, A., Reinsch, S., Reu, B., Sack, L., Salgado-Negret, B., Sardans, J., Shiodera, S., Shipley, B., Siefert, A., Sosinski, E., Soussana, J.-F., Swaine, E., Swenson, N., Thompson, K., Thornton, P., Waldram, M., Weiher, E., White, M., White, S., Wright, S. J., Yguel, B., Zaehle, S., Zanne, A. E., and Wirth, C.: TRY-a global database of plant traits, Glob. Change Biol., 17, 2905-2935, doi:10.1111/j.1365-2486.2011.02451.x, 2011.
83. Kauffman, J. B.: Survival by sprouting following fire in tropical forests of the eastern Amazon, Biotropica, 23, 219-224, 1991.
84. Kaufmann, W. F. and Hartmann, K. M.: Earth-based spectroradiometric monitoring of forest decline, J. Plant Physiol., 138, 270-273, 1991.
85. Keeley, J. E.: Fire severity and plant age in postfire resprouting of woody plants in sage scrub and chaparral, Madrono, 53, 373-379, 2006.
86. Kelley, D. I., Prentice, I. C., Harrison, S. P., Wang, H., Simard, M., Fisher, J. B., and Willis, K. O.: A comprehensive benchmarking system for evaluating global vegetation models, Biogeosciences, 10, 3313-3340, doi:10.5194/bg-10-3313-2013, 2013.
87. Kimball, J. S., Running, S. W., and Nemani, R.: An improved method for estimating surface humidity from daily minimum temperature, Agr. Forest Meteorol., 85, 87-98, 1997.
88. Klein Goldewijk, K., Beusen, A., Van Drecht, G., and De Vos, M.: The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years, Global Ecol. Biogeogr., 20, 73-86, 2011.
89. Rothermel, R. C.: A mathematical model for predicting fire spread in wildland fuels, USFS, 1972.
90. Running, S.: Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis, Can. J. Forest Res., 17, 472-483, 1987.
91. Schenk, H. J. and Jackson, R. B.: Rooting depths, lateral root spreads and belowground aboveground allometries of plants in water limited ecosystems, J. Ecol., 90, 480-494, 2002a.
92. Schenk, H. J. and Jackson, R. B.: The global biogeography of roots, Ecol. Monogr., 72, 311-328, 2002b.
93. Schenk, H. J. and Jackson, R. B.: Mapping the global distribution of deep roots in relation to climate and soil characteristics, Geoderma, 126, 129-140, doi:10.1016/j.geoderma.2004.11.018, 2005.
94. Sellers, P. J., Tucker, C. J., Collatz, G. J., Los, S. O., Justice, C. O., Dazlich, D. A., and Randall, D. A.: A revised land surface parameterization (SiB2) for atmospheric GCMs, Part II: The generation of global fields of terrestrial biophysical parameters from satellite data, J. Climate, 4, 706-737, 1996.
95. Sharples, J. J., McRae, R. H. D., Weber, R. O., and Gill, A. M.: A simple index for assessing fuel moisture content, Environ. Modell. Softw., 24, 637-646, doi:10.1016/j.envsoft.2008.10.012, 2009.
96. Simard, M., Baccini, A., Fisher, J. B., and Pinto, N.: Mapping forest canopy height globally with spaceborne lidar, J. Geophys. Res., 116, G04021, doi:10.1029/2011JG001708, 2011.
97. Sitch, S., Smith, B., Prentice, I. C., Arneth, A., Bondeau, A., Cramer, W., Kaplan, J, O., Levis, S., Lucht, W., Sykes, M. T., Thonicke, K., and Venevsky, S.: Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model, Glob. Change Biol., 9, 161-185, 2003.
98. Tapias, R., Climent, J., Pardos, J. A., and Gil, L.: Life histories of Mediterranean pines, Plant Ecol., 171, 53-68, 2004.
99. Thonicke, K., Spessa, A., Prentice, I. C., Harrison, S. P., Dong, L., and Carmona-Moreno, C.: The influence of vegetation, fire spread and fire behaviour on biomass burning and trace gas emissions: results from a process-based model, Biogeosciences, 7, 1991-2011, doi:10.5194/bg-7-1991-2010, 2010.
100. van der Werf, G. R., Randerson, J. T., Giglio, L., Gobron, N., and Dolman, A. J.: Climate controls on the variability of fires in the tropics and subtropics, Global Biogeochem. Cy., 22, GB3028, doi:10.1029/2007GB003122, 2008.
101. van Etten, J. and Hijmans, R. J.: raster: Geographic data analysis and modeling, available at: http://cran.r-project.org/package= raster (last access: 16 December 2013), 2013.
102. van Leeuwen, W. J. D., Casady, G. M., Neary, D. G., Bautista, S., Alloza, J. A., Carmel, Y., Wittenberg, L., Malkinson, D., and Orr, B. J.: Monitoring post-wildfire vegetation response with remotely sensed time-series data in Spain, USA and Israel, Int. J. Wildland Fire, 19, 75-93, doi:10.1071/WF08078, 2010.
103. Van Wagner, C. E.: Equilibrium moisture contents of some fine forest fuels in eastern Canada, Information Report, Petawawa Forest Experiment Station, 1972.
104. Van Wagner, C. E. and Pickett, T. L.: Equations and FORTRAN program for the Canadian forest fire weather index system, in: Canadian Forestry Service, Petawawa national forestry institute, Chalk River, Ontario, Vol. 33, 1985.
105. Venevsky, S., Thonicke, K., Sitch, S., and Cramer, W.: Simulating fire regimes in human-dominated ecosystems: Iberian Peninsula case study, Glob. Change Biol., 8, 984-998, doi:10.1046/j.1365-2486.2002.00528.x, 2002.
106. Viedma, O., Meliá, J., Segarra, D., and García-Haro, J.: Modeling rates of ecosystem recovery after fires by using landsat TM data, Remote Sens., 61, 383-398, 1997.
107. Viney, N.: A review of fine fuel moisture modelling, Int. J.Wildland Fire, 1, 215-234, doi:10.1071/WF9910215, 1991.
108. Weedon, J. T., Cornwell,W. K., Cornelissen, J. H. C., Zanne, A. E., Wirth, C., and Coomes, D. A.: Global meta-analysis of wood decomposition rates: a role for trait variation among tree species?, Ecol. Lett., 12, 45-56, doi:10.1111/j.1461-0248.2008.01259.x, 2009.
109. Williams, P. R.: Fire-stimulated rainforest seedling recruitment and vegetative regeneration in a densely grassed wet sclerophyll forest of north-eastern Australia, Aust. J. Bot., 48, 651-658, 2000.
110. Williams, R. J., Griffiths, A. D., and Allan, G.: Fire regimes and biodiversity in the wet-dry tropical savanna landscapes of northern Australia, in: Flammable Australia: Fire Regimes and Biodiversity of a Continent, edited by: Bradstock, R., Williams, J. A., and Gill, A., 281-304, Cambridge University Press, Cambridge, 2002.
111. Xiao, J. and Moody, A.: A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA, Remote Sens. Environ., 98, 237-250, doi:10.1016/j.rse.2005.07.011, 2005.
112. Zammit, C. and Westoby, M.: Seedling recruitment strategies in obligate-seeding and resprouting Banksia shrubs, Ecology, 1984-1992, 1987.