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Simulating fire regimes in human-dominated ecosystems: Iberian Peninsula case study
Abstract
A new fire model is proposed which estimates areas burnt on a macro‐scale (10–100 km). It consists of three parts: evaluation of fire danger due to climatic conditions, estimation of the number of fires and the extent of the area burnt. The model can operate on three time steps, daily, monthly and yearly, and interacts with a Dynamic Global Vegetation Model (DGVM), thereby providing an important forcing for natural competition. Fire danger is related to number of dry days and amplitude of daily temperature during these days. The number of fires during fire days varies with human population density. Areas burnt are calculated based on average wind speed, available fuel and fire duration. The model has been incorporated into the Lund‐Potsdam‐Jena Dynamic Global Vegetation Model (LPJ‐DGVM) and has been tested for peninsular Spain. LPJ‐DGVM was modified to allow bi‐directional feedback between fire disturbance and vegetation dynamics. The number of fires and areas burnt were simulated for the period 1974–94 and compared against observations. The model produced realistic results, which are well correlated, both spatially and temporally, with the fire statistics. Therefore, a relatively simple mechanistic fire model can be used to reproduce fire regime patterns in human‐ dominated ecosystems over a large region and a long time period.
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“Although there is a general relationship between human population density and fire activity in some regions, these variables are not necessarily linearly related, being strongly influenced by the environmental setting (Venevsky et al., 2002; Syphard et al., 2007; Li et al., 2009).”
From The human dimension of fire regimes on Earth (2011) · cites this paper as Venevsky et al., 2002
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Cited by
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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., et al. (2009) · Science · doi:10.1126/science.1163886 · Cited by 3,351
Harrison, S. P., Marlon, J. R., & Bartlein, P. J. (2010) · Springer eBooks · doi:10.1007/978-90-481-8716-4_3 · Cited by 110
The global distribution of ecosystems in a world without fire
Bond, W. J., Woodward, F. I., & Midgley, G. F. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2004.01252.x · Cited by 1,942
The human dimension of fire regimes on Earth
Bowman, D. M. J. S., Balch, J., Artaxo, P., Bond, W. J., Cochrane, M. A., D’Antonio, C. M., DeFries, R., Johnston, F. H., Keeley, J. E., Krawchuk, M. A., et al. (2011) · Journal of Biogeography · doi:10.1111/j.1365-2699.2011.02595.x · Cited by 1,230
“Although there is a general relationship between human population density and fire activity in some regions, these variables are not necessarily linearly related, being strongly influenced by the environmental setting (Venevsky et al., 2002; Syphard et al., 2007; Li et al., 2009).”
BackgroundGerten, D., Schaphoff, S., Haberlandt, U., Lucht, W., & Sitch, S. A. (2003) · Journal of Hydrology · doi:10.1016/j.jhydrol.2003.09.029 · Cited by 915
“, 2001), the representation of fire regimes (Venevsky et al., 2002), and the simulation of transient vegetation responses to climate warming (Joos et al.”
BackgroundSelf-citationWhat limits fire? An examination of drivers of burnt area in Southern Africa
ARCHIBALD, S., ROY, D. P., Van WILGEN, B. W., & SCHOLES, R. J. (2009) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01754.x · Cited by 773
Driving forces of global wildfires over the past millennium and the forthcoming century
Pechony, O., & Shindell, D. T. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1003669107 · Cited by 717
“Anthropogenic ignition sources are calculated as an increasing function of population density while assuming that people living in sparsely populated regions interact more with natural ecosystems and therefore produce potentially more ignitions (31).”
Backgroundvan Marle, M. J. E., Kloster, S., Magi, B. I., Marlon, J. R., Daniau, A.-L., Field, R. D., Arneth, A., Forrest, M., Hantson, S., Kehrwald, N. M., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-3329-2017 · Cited by 704
“SPITFIRE is a process-based global fire model and a further development of the Reg-FIRM approach (Venevsky et al., 2002) but uses a more complete set of physical representations of spread and fire intensity.”
MethodThe status and challenge of global fire modelling
Hantson, S., Arneth, A., Harrison, S. P., Kelley, D. I., Prentice, I. C., Rabin, S. S., Archibald, S., Mouillot, F., Arnold, S. R., Artaxo, P., et al. (2016) · Biogeosciences · doi:10.5194/bg-13-3359-2016 · Cited by 460
“The Regional Fire Model (Reg-FIRM: Venevsky et al., 2002) introduced a new approach in fire modelling by simulating burnt area as the product of number of fires and average fire size.”
Self-citationLightning as a major driver of recent large fire years in North American boreal forests
Veraverbeke, S., Rogers, B., Goulden, M., Jandt, R., Miller, C., Wiggins, E., & Randerson, J. (2017) · Nature Climate Change · doi:10.1038/nclimate3329 · Cited by 449
“We investigated the drivers of years with large burned area and the annual trends by decomposing burned area into the number of ignitions and the size of fires (regional burned area D number of ignitions (cid:2) mean fire size) 11 .”
BackgroundInfluential(2010) · doi:10.5194/bg-7-1991-2010 · Cited by 448
“We approximate T dew (d) by ( T min (d) − 4), where T min (d) is the daily minimum temperature (Running et al., 1987), the same approach used by Venevsky et al. (2002).”
InfluentialSelf-citationModelling natural disturbances in forest ecosystems: a review
Seidl, R., Fernandes, P. M., Fonseca, T., Gillet, F., Jönsson, A. M., Merganičová, K., Netherer, S., Arpaci, A., Bontemps, J., Bugmann, H. K. M., et al. (2010) · Ecological Modelling · doi:10.1016/j.ecolmodel.2010.09.040 · Cited by 465
“…of weather, fuel and management-related variables on the spatio-temporal dynamics of wilfire is a " hot topic " that is increasingly examined through landscape fire models (Venevsky et al., 2002; Thonicke and Cramer, 2006; LaCroix et al., 2008; Cary et al., 2009; Parisien and Moritz, 2009).”
Balshi, M. S., McGUIRE, A. D., DUFFY, P., Flannigan, M., Walsh, J. E., & Melillo, J. M. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01679.x · Cited by 398
“Several studies have focused on developing methods for incorporating fire into DVMs at global (Thonicke et al., 2001; Venevsky et al., 2002) and landscape scales (Keane et al., 1996; He & Mladenoff, 1999; Rupp et al., 2001, 2002).”
BackgroundGlobal wildland fire emissions from 1960 to 2000
Schultz, M. G., Heil, A., Hoelzemann, J. J., Spessa, A. C., Thonicke, K., Goldammer, J. G., Held, A. C., Pereira, J. M. C., & Bolscher, M. V. H. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb003031 · Cited by 464
“For example, the effect of changes in wind speed on fire spread rates is currently simulated as a simple linear step-up function [ Venevsky et al., 2002 ].”
MethodInfluentialSelf-citationScheiter, S., & Higgins, S. I. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01838.x · Cited by 421
“For instance, the LPJ, the SDGVM and the SEIB-DGVM (Sato et al., 2007) use fire models that assume that fire frequency is determined by fuel loads and the moisture content of litter and that fires remove a predefined fraction of biomass (Thonicke et al., 2001; Venevsky et al., 2002).”
BackgroundMethodPrentice, I. C., Bondeau, A., Crämer, W., Harrison, S. P., Hickler, T., Lucht, W., Sitch, S. A., Smith, B., & Sykes, M. T. (2007) · Springer eBooks · doi:10.1007/978-3-540-32730-1_15 · Cited by 356
“Venevsky et al. (2002) and Arora and Boer (in press) have developed fire models of intermediate complexity that allow for variations in ignition rates associated with human activities.”
BackgroundSelf-citationKeane, R. E., Cary, G. J., Davies, I. D., Flannigan, M., Gardner, R. H., Lavorel, S., Lenihan, J. M., Li, C., & Rupp, T. S. (2004) · Ecological Modelling · doi:10.1016/j.ecolmodel.2004.03.015 · Cited by 274
Mouillot, F., Schultz, M. G., Yue, C., Cadule, P., Tansey, K. J., Ciais, P., & Chuvieco, E. (2013) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2013.05.014 · Cited by 283
“…CLM4, CNDV Oleson et al. (2010) LPJ Sitch et al. (2003) LPJ Sitch et al. (2003) LPJ guess Smith et al. (2001) ORCHIDEE Krinner et al. (2005) MC1 DGVM Bachelet et al. (2001) ased on LPJ Venevsky et al. (2002) Earth Observation and Geoinformation 26 (2014) 64–79 67 s G 2 l g i b 1 t r a d a a 2 C –”
Fire as an interactive component of dynamic vegetation models
Arora, V. K., & Boer, G. J. (2005) · Journal of Geophysical Research Atmospheres · doi:10.1029/2005jg000042 · Cited by 281
Galbraith, D. R., Levy, P., Sitch, S. A., Huntingford, C., Cox, P. M., Williams, M., & Meir, P. (2010) · New Phytologist · doi:10.1111/j.1469-8137.2010.03350.x · Cited by 237
Self-citationFire dynamics during the 20th century simulated by the Community Land Model
Kloster, S., Mahowald, N. M., Randerson, J. T., THORNTON, P. E., Hoffman, F. M., Levis, S., Lawrence, P., Feddema, J. J., Oleson, K. W., & Lawrence, D. M. (2010) · Biogeosciences · doi:10.5194/bg-7-1877-2010 · Cited by 217
“We further extended the CLM-CN-AB version by an explicit treatment of human ignition following Venesky et al.(2002), for which the probability of human ignition increases with population density.”
MethodThe carbon balance of Africa: synthesis of recent research studies
Ciais, P., Bombelli, A., Williams, M., Piao, S. L., Chave, J., Ryan, C. M., Henry, M., Brender, P., & Valentini, R. (2011) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2010.0328 · Cited by 213
Environmental drivers of large, infrequent wildfires: The emerging conceptual model
Meyn, A., White, P. S., Buhk, C., & Jentsch, A. (2007) · Progress in Physical Geography: Earth and Environment · doi:10.1177/0309133307079365 · Cited by 228
“…for commercial use or unauthorized distribution. at Geograph Institute Der on June 20, 2007 http://ppg.sagepub.comDownloaded from considered as one of the major drivers for fire regimes (eg, for the Iberian Peninsula – Venevsky et al., 2002; or many Mediterranean countries – Moreno et al., 1998).”
BackgroundInfluentialBalshi, M., McGuire, A., Duffy, P., Flannigan, M., Kicklighter, D., & Melillo, J. (2009) · Global Change Biology · doi:10.1111/j.1365-2486.2009.01877.x · Cited by 229
“…of fire into process-based models, but the applications of these models have primarily been focused on retrospective analyses of carbon dynamics (Peng & Apps, 1999; Amiro et al., 2000; Chen et al., 2000, 2003; Thonicke et al., 2001; Venevsky et al., 2002; Hicke et al., 2003; Balshi et al., 2007).”
MethodLavorel, S., Flannigan, M. D., Lambin, E. F., & Scholes, M. C. (2006) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-006-9046-5 · Cited by 220
“This exercise of aggregation of regional analyses to a global picture could complement top-down approaches using global vegetation models (Lenihan et al. 1998; Thonicke et al. 2001 ).”
BackgroundMethodInfluentialLi, F., Zeng, X., & Levis, S. (2012) · Biogeosciences · doi:10.5194/bg-9-2761-2012 · Cited by 221
“The form of nonlinear function has been tested in peninsular Spain by Venevsky et al. (2002) and on a global scale by Pechony and Shindell (2009).”
BackgroundMethodInfluentialGritti, E. S., Smith, B., & Sykes, M. (2006) · Journal of Biogeography · doi:10.1111/j.1365-2699.2005.01377.x · Cited by 220
“First, in all simulations the climate-dependent fire module was used (Thonicke et al., 2001; Venevsky et al., 2002).”
MethodBalshi, M., McGuire, A., Zhuang, Q., Melillo, J., Kicklighter, D., Kasischke, E., Wirth, C., Flannigan, M., Harden, J., Clein, J., et al. (2006) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006jg000380 · Cited by 200
“While several studies have used fire cycle information to account for recurring fires, they generally do not explicitly consider the history of fire across the landscape [e.g., Thonicke et al., 2001; Venevsky et al., 2002].”
BackgroundMethodPower, M. J., Marlon, J. R., Bartlein, P. J., & Harrison, S. P. (2009) · Palaeogeography Palaeoclimatology Palaeoecology · doi:10.1016/j.palaeo.2009.09.014 · Cited by 222
Romero-Calcerrada, R., Novillo, C., Millington, J., & Gómez-Jiménez, I. (2008) · Landscape Ecology · doi:10.1007/s10980-008-9190-2 · Cited by 191
“These changes in behavior are the main factors driving the spatial distribution of people in forest areas and of the increase in ignition events (Badia-Perpinyà and Pallares-Barbera 2006; Venevsky et al. 2002).”
BackgroundImpact of human population density on fire frequency at the global scale
Knorr, W., Kaminski, T., Arneth, A., & Weber, U. (2014) · Biogeosciences · doi:10.5194/bg-11-1085-2014 · Cited by 189
“Most global fire models describe fire as a process that is explicitly limited by the number of human or lightning ignitions (Venevsky et al., 2002; Thonicke et al., 2010; Kloster et al., 2012; Li et al., 2012).”
BackgroundFire in the Air: Biomass Burning Impacts in a Changing Climate
Keywood, M., Kanakidou, M., Stohl, A., Dentener, F. J., Grassi, G., Meyer, C. P. M., Tørseth, K., Edwards, D. P., Thompson, A. M., Lohmann, U., et al. (2011) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2011.604248 · Cited by 225
“The procedures used to estimate fire activity differ and are based on topsoil layer moisture content and dead fuel amount[112] on fuel availability and fuel moisture, and presence of an ignition source (anthropogenic or natural by lightning)[113] or on fire danger indices such as the Nesterov fire danger index.[114] F…”
MethodA model for global biomass burning in preindustrial time: LPJ-LMfire (v1.0)
Pfeiffer, M., Spessa, A. C., & Kaplan, J. O. (2013) · Geoscientific model development · doi:10.5194/gmd-6-643-2013 · Cited by 199
“The RegFIRM fire model (Venevsky et al., 2002), originally developed as an embedded module within the Lund-Potsdam-Jena DGVM (LPJ, Sitch et al., 2003), was one of the first global fire models that contained explicit representations of climatic fire danger and lightning- and human-caused wildfire…”
MethodLe Page, Y., Oom, D., Silva, J. M. N., Jönsson, P., & Pereira, J. M. C. (2010) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2010.00525.x · Cited by 177
Zaehle, S., Bondeau, A., Carter, T. R., Crämer, W., Erhard, M., Prentice, I. C., Reginster, I., Rounsevell, M., Sitch, S. A., Smith, B., et al. (2007) · Ecosystems · doi:10.1007/s10021-007-9028-9 · Cited by 171
Self-citationHuman-caused fire occurrence modelling in perspective: a review
Costafreda-Aumedes, S., Comas, C., & Vega‐García, C. (2017) · International Journal of Wildland Fire · doi:10.1071/wf17026 · Cited by 197
“When field-collected fire records are unavailable, fire occurrence can be estimated from remote sensing sources such as burned area products or hotspots (Venevsky et al. 2002; Vadrevu et al. 2006; Maingi and Henry 2007; Chuvieco et al. 2008; Garcia-Gonzalo et al. 2012; Marques et al. 2012; Zhang et al. 2013; Li et al.…”
BackgroundKloster, S., Mahowald, N. M., Randerson, J. T., & Lawrence, P. (2012) · Biogeosciences · doi:10.5194/bg-9-509-2012 · Cited by 169
“Human ignition probability was accounted for following a relationship given by Venevsky et al.(2002), which assumes that an average person is more likely to cause a fire in sparsely populated regions, as they interact more with the natural ecosystems, compared to persons living in densely populated…”
MethodFire regimes during the Last Glacial
Daniau, A., Harrison, S. P., & Bartlein, P. J. (2009) · Quaternary Science Reviews · doi:10.1016/j.quascirev.2009.11.008 · Cited by 157
“With the advent of fully dynamic vegetation-fire models (Lenihan and Neilson, 1998; Thonicke et al., 2001; Venevsky et al., 2002; Prentice et al., 2007), exploration of the relative importance of different mechanisms in driving changes in fire regimes through comparing carefully-designed…”
BackgroundSimulating fire regimes in the Amazon in response to climate change and deforestation
Silvestrini, R. A., Soares-Filho, B. S., Nepstad, D. C., Coe, M. T., Rodrigues, H. O., & Assunção, R. (2010) · Ecological Applications · doi:10.1890/10-0827.1 · Cited by 155
“In short, wildfire models (e.g., NWGC 2002, Venevsky et al. 2002, CFS 2007) involve multiple components (i.e., ignition and propagation submodels) comprising numerous parameters that still need to be adapted and calibrated to the biophysical characteristics of the diverse Amazon landscapes.”
BackgroundA spatially explicit and quantitative vulnerability assessment of ecosystem service change in Europe
Metzger, M. J., Schröter, D., Leemans, R., & Crämer, W. (2008) · Regional Environmental Change · doi:10.1007/s10113-008-0044-x · Cited by 154
Self-citationEstimating future burned areas under changing climate in the EU-Mediterranean countries
Amatulli, G., Camia, A., & San-Miguel-Ayanz, J. (2013) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2013.02.014 · Cited by 169
Yue, C., Ciais, P., Cadule, P., Thonicke, K., Archibald, S. A., Poulter, B., Hao, W. M., Hantson, S., Mouillot, F., Friedlingstein, P., et al. (2014) · Geoscientific model development · doi:10.5194/gmd-7-2747-2014 · Cited by 147
“Published fire models (Kloster et al., 2012; Li et al., 2012; Pechony and Shindell, 2009; Venevsky et al., 2002) generally include ignitions from lightning and human sources, together with explicit or implicit human suppression of fires.”
BackgroundSelf-citationLand Use Change Impacts on Air Quality and Climate
Heald, C. L., & Spracklen, D. V. (2015) · Chemical Reviews · doi:10.1021/cr500446g · Cited by 160
Fire regime changes and major driving forces in Spain from 1968 to 2010
Moreno, M. V., Conedera, M., Chuvieco, E., & Pezzatti, G. B. (2013) · Environmental Science & Policy · doi:10.1016/j.envsci.2013.08.005 · Cited by 165
Climate, CO 2 and human population impacts on global wildfire emissions
Knorr, W., Jiang, L., & Arneth, A. (2016) · Biogeosciences · doi:10.5194/bg-13-267-2016 · Cited by 144
“This approach, based on Venevsky et al. (2002), always leads to an increase in burned area if ignitions increase, all else being equal.”
BackgroundResultTHE IMPORTANCE OF AGE-RELATED DECLINE IN FOREST NPP FOR MODELING REGIONAL CARBON BALANCES
Zaehle, S., Sitch, S. A., Prentice, I. C., Liski, J., Crämer, W., Erhard, M., Hickler, T., & Smith, B. (2006) · Ecological Applications · doi:10.1890/1051-0761(2006)016[1555:tioadi]2.0.co;2 · Cited by 138
Self-citationEstimating carbon emissions from African wildfires
Lehsten, V., Tansey, K. J., Balzter, H., Thonicke, K., Spessa, A. C., Weber, U., Smith, B., & Arneth, A. (2009) · Biogeosciences · doi:10.5194/bg-6-349-2009 · Cited by 119
“Following previously used approximations (Venevsky et al., 2002; Thonicke et al., 2008), we set the dew point temperature which is required to calculate the Nesterov Index to the daily minimum temperature minus 4 K (Running et al.”
Self-citationFire parameterization on a global scale
Pechony, O., & Shindell, D. (2009) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd011927 · Cited by 132
“Venevsky et al. [2002] suggested a model that uses the Nesterov fire danger index,whichrelies onthedew-pointdeficit andprecipitation, to estimate the number of fires in a region.”
BackgroundMethodInfluentialZumbrunnen, T., Pezzatti, G. B., Menéndez, P., Bugmann, H. K. M., Bürgi, M., & Conedera, M. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2010.10.009 · Cited by 122
García‐Valdés, R., Zavala, M. A., Araújo, M. B., & Purves, D. W. (2013) · Journal of Ecology · doi:10.1111/1365-2745.12049 · Cited by 122
“Moreover, the combination of drier and warmer climate and more flammable vegetation may result in novel disturbance regimes (Venevsky et al. 2002), leading to autosuccesional dynamics and contingent dynamics (Zavala, Espelta & Retana 2000; Carri on et al. 2001a).”
BackgroundRelationships between Human Population Density and Burned Area at Continental and Global Scales
Bistinas, I., Oom, D., Sá, A. C. L., Harrison, S. P., Prentice, I. C., & Pereira, J. M. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081188 · Cited by 110
“However, those models that explicitly include anthropogenic fire generally focus on human impacts on ignitions and furthermore employ either a universal population density value as a threshold for anthropogenic fire ignitions [47], or single-peaked global function of population density [48].”
BackgroundBartsch, A., Balzter, H., & George, C. (2009) · Environmental Research Letters · doi:10.1088/1748-9326/4/4/045021 · Cited by 102
Historical and future global burned area with changing climate and human demography
Wu, C., Venevsky, S., Sitch, S. A., Mercado, L. M., Huntingford, C., & Staver, A. C. (2021) · One Earth · doi:10.1016/j.oneear.2021.03.002 · Cited by 113
“, urbanization, described as the ratio of rural to total population (RUR) (higher rural population is a major source of pyrogenic activity with longer contact with flammable vegetation); and (3) combined fire suppression and management, a proxy being the distance to human settlements (cities) (DIS; km), which is also…”
BackgroundMethodInfluentialSelf-citationForkel, M., Thonicke, K., Beer, C., Cramer, W., Bartalev, S., & Schmullius, C. (2012) · doi:10.1088/1748-9326/7/4/044021 · Cited by 93
“From this dataset, we calculated the daily Nesterov index NI(d) (Nesterov 1949) which is summed for all days with ≤3 mm precipitation and calculated from daily maximum and minimum temperatures Tmax(d) and Tmin(d) as in Venevsky et al (2002): NI(d) = ∑ Tmax(d) ∗ [Tmax(d)− (Tmin(d)− 4)].”
MethodSelf-citationReineking, B., Weibel, P., Conedera, M., & Bugmann, H. K. M. (2010) · International Journal of Wildland Fire · doi:10.1071/wf08206 · Cited by 84
“The Nesterov Ignition Index is widely used in forest fire research (e.g. Viegas et al. 1999; Venevsky et al. 2002), but it did not perform well in our study region.”
BackgroundMethodUsing the Paleorecord to Evaluate Climate and Fire Interactions in Australia
Lynch, A. H., Beringer, J., Kershaw, P., Marshall, A., Mooney, S., Tapper, N., Turney, C., & Van Der Kaars, S. (2007) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev.earth.35.092006.145055 · Cited by 90
Yue, C., Ciais, P., Cadule, P., Thonicke, K., & van Leeuwen, T. T. (2015) · Geoscientific model development · doi:10.5194/gmd-8-1321-2015 · Cited by 90
“Anthropogenic ignitions are estimated as a function of population density with the maximum ignition being obtained at ca. 16 indkm−2 (Venevsky et al., 2002; Thonicke et al., 2010).”
BackgroundSelf-citationTurco, M., Llasat, M. C., von Hardenberg, J., & Provenzale, A. (2012) · Climatic Change · doi:10.1007/s10584-012-0505-6 · Cited by 82
“At regional or global scale, fires are determined by climate variability, human activities and vegetation distribution, and in turn they feed back on vegetation distribution and structure, the carbon cycle, and climate (Venevsky et al. 2002; Pausas and Keeley 2009; Bowman et al. 2009).”
BackgroundUnderstanding and modelling wildfire regimes: an ecological perspective
Harrison, S. P., Prentice, I. C., Bloomfield, K. J., Dong, N., Forkel, M., Forrest, M., Ningthoujam, R. K., Pellegrini, A. F. A., Shen, Y., Baudena, M., et al. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/ac39be · Cited by 110
“Venevsky et al (2002) introduced the concept that each person, on average, starts a given number of fires per unit time.”
BackgroundRomero-Calcerrada, R., Barrio-Parra, F., Millington, J., & Novillo, C. (2010) · Ecological Modelling · doi:10.1016/j.ecolmodel.2009.08.008 · Cited by 80
Forkel, M., Dorigo, W. A., Lasslop, G., Teubner, I., Chuvieco, E., & Thonicke, K. (2017) · Geoscientific model development · doi:10.5194/gmd-10-4443-2017 · Cited by 107
“DTR has been long used as predictor for fire weather conditions because it is sensitive to stable weather conditions that are usually associated to low humidity and are supportive for fire activity (Bistinas et al., 2014; Venevsky et al., 2002).”
Self-citationINFERNO: a fire and emissions scheme for the UK Met Office's Unified Model
Mangeon, S., Voulgarakis, A., Gilham, R. J. J., Harper, A., Sitch, S. A., & Folberth, G. (2016) · Geoscientific model development · doi:10.5194/gmd-9-2685-2016 · Cited by 88
“In this ignition mode, anthropogenic ignition and suppression depends on population density (PD), as proposed by Venevsky et al. (2002).”
BackgroundSelf-citationSkidmore, A. K., Franklin, J., Dawson, T. P., & Pilesjö, P. (2011) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2011.554296 · Cited by 98
“In many areas fire is the most important type of natural (and/or human) disturbance affecting biogeochemical cycles and we have many examples of researchers incorporating fire modules in DGVMs (e.g. Thonicke et al. 2001, Venevsky et al. 2002).”
BackgroundGood, P., Moriondo, M., Giannakopoulos, C., & Bindi, M. (2008) · International Journal of Wildland Fire · doi:10.1071/wf07001 · Cited by 73
“The oscillations at high FWI may be due to a lack of data, but could also arise from human behaviour: during heatwaves, (hence, extreme FWI), human activity will be reduced and so fewer fires will be started (Venevsky et al. 2002).”
BackgroundBiotic modifiers, environmental modulation and species distribution models
Linder, H. P., Bykova, O., Dyke, J. G., Etienne, R. S., Hickler, T., Kühn, I., Marion, G., Ohlemüller, R., Schymanski, S. J., & Singer, A. (2012) · Journal of Biogeography · doi:10.1111/j.1365-2699.2012.02705.x · Cited by 68
“, 2007) and simulate the occurrence and effects of fire (Venevsky et al., 2002; Scheiter & Higgins, 2009; Thonicke et al., 2010).”
BackgroundModeling fuel loads dynamics and fire spread probability in the Brazilian Cerrado
Oliveira, U., Soares-Filho, B. S., Costa, W., Gomes, L., Bustamante, M., & Miranda, H. S. (2020) · Forest Ecology and Management · doi:10.1016/j.foreco.2020.118889 · Cited by 68
Esteves, T. C. J., Kirkby, M. J., Shakesby, R. A., Ferreira, A., Soares, J. A., Irvine, B. J., Ferreira, C., Coelho, C. O. A., Bento, C. P. M., & Carreiras, M. (2012) · Geoderma · doi:10.1016/j.geoderma.2012.01.001 · Cited by 64
“A fire ignition model has been implemented within PESERA, using simplified versions of algorithms developed and tested independently (Venevsky et al., 2002) for the Iberian Peninsula.”
Yang, J., Tian, H., Tao, B., Ren, W., Kush, J. S., Liu, Y., & Wang, Y. (2014) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2013jg002532 · Cited by 71
“…as Ia ¼ PDαk PDð Þ (5) where PD is population density (person km 2); α is the daily potential anthropogenic ignitions (1.3 × 10 4, count person 1 d 1); and k(PD) is a population density-related parameter for adjusting anthropogenic ignition potential (=6.8PD 0.6) [Venevsky et al., 2002].”
BackgroundMethodInfluentialProjected changes in fire size from daily spread potential in Canada over the 21st century
Wang, X., Studens, K., Parisien, M., Taylor, S. W., Candau, J., Boulanger, Y., & Flannigan, M. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/aba101 · Cited by 78
“Such linkages make the simulations of AABmore complicated if both FS and number of fire occurrences are modeled jointly (e.g. Venevsky et al 2002, Westerling et al 2011, Veraverbeke et al 2017).”
BackgroundMethodGanatsas, P., Antonis, M., & Marianthi, T. (2011) · doi:10.1016/j.agrformet.2010.10.011 · Cited by 56
“The index derived as an empirical function reflecting the relationship between fire and weather based on historical data (Venevsky et al., 2002).”
BackgroundPrinciples of Soilscape and Landscape Evolution
Willgoose, G. (2018) · doi:10.1017/9781139029339 · Cited by 55
Kelley, D. I., Harrison, S. P., & Prentice, I. C. (2014) · Geoscientific model development · doi:10.5194/gmd-7-2411-2014 · Cited by 51
“…litter drying rate is described by the cumulative Nesterov fire danger index (NI; Nesterov, 1949) as described by Running (1987), and a fuel-specific drying rate parameter ( α xhr ; Venevsky et al., 2002) which was tuned to provide the best results against fire observations (Thonicke et al., 2010).”
Nogueira, J., Rambal, S., Barbosa, J. P. A. D., & Mouillot, F. (2017) · Climate · doi:10.3390/cli5020042 · Cited by 53
“Among the most used indices in these systems or in experimental studies, we can cite McArthur index (FFDI) [23], Canadian Fire Weather Index (FWI) [19], Swedish Angstrom index (I) [24], Keetch–Bryam Drought Index (KBDI) [20], Russian Nesterov Index (NI) [25], Russian Modified NI (MNI) [26], Zhdanko index (Zh) [27], Au…”
BackgroundMethodWu, M., Knorr, W., Thonicke, K., Schurgers, G., Camia, A., & Arneth, A. (2015) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2015jg003036 · Cited by 66
“SPITFIRE quantifies human-caused fire ignitions based on a simple approximation of ignition scaling with human population density [Venevsky et al., 2002], an approach that is now widely used in other global fire models [e.g., Arora and Boer, 2005; Kloster et al., 2010] and confirmed to be…”
MethodSelf-citationSensitivity of Simulated Boreal Fire Dynamics to Uncertainties in Climate Drivers
Rupp, T. S., Chen, X., Olson, M., & McGuire, A. D. (2007) · Earth Interactions · doi:10.1175/ei189.1 · Cited by 41
“Models of transient vegetation and fire dynamics (Lenihan et al. 1998; Thonicke et al. 2001) are currently being applied (Bachelet et al. 2000; Venevsky et al. 2002; Bachelet et al. 2005) to evaluate regional responses of fire regime to projections of future climate change.”
MethodZare, A., Christensen, J., Gross, A., Irannejad, P., Glasius, M., & Brandt, J. (2013) · Atmospheric chemistry and physics · doi:10.5194/acp-14-2735-2014 · Cited by 49
“In RETRO, the Regional fire model (Reg-FIRM) is used to provide estimates of the burned area variability based on the climate data (Venevsky et al., 2002).”
MethodSouth American fires and their impacts on ecosystems increase with continued emissions
Burton, C., Kelley, D. I., Jones, C. D., Betts, R. A., Cardoso, M., & Anderson, L. (2022) · Climate Resilience and Sustainability · doi:10.1002/cli2.8 · Cited by 66
“Like most fire models, ignitions are also based on global-scale relationships of population density (Hantson et al., 2016), developed by early fire modelling studies (e.g., Mangeon et al., 2016; Venevsky et al., 2002).”
Rabin, S. S., Ward, D. S., Malyshev, S. L., Magi, B. I., Shevliakova, E., & Pacala, S. W. (2018) · Geoscientific model development · doi:10.5194/gmd-11-815-2018 · Cited by 44
“Anthropogenic effects on fire most commonly are modeled as dependent solely on population density, not land use (e.g., Venevsky et al., 2002; Arora and Boer, 2005; Pechony and Shindell, 2009; Thonicke et al., 2010; Li et al., 2012; Melton and Arora, 2016; Hantson et al., 2016; Rabin et al., 2016).”
BackgroundQuantifying regional, time-varying effects of cropland and pasture on vegetation fire
Rabin, S. S., Magi, B. I., Shevliakova, E., & Pacala, S. W. (2015) · Biogeosciences · doi:10.5194/bg-12-6591-2015 · Cited by 49
“Human influence is usually included as a function of population density (Venevsky et al., 2002; Pechony and Shindell, 2009), although some authors have noted that such relationships are too simplistic, with the effect of population density actually varying based on biome or amount and type of land…”
BackgroundChang, Y., Zhu, Z., Bu, R., Li, Y., & Hu, Y. (2015) · Forest Ecology and Management · doi:10.1016/j.foreco.2015.07.012 · Cited by 50
Modeling biomass burning and related carbon emissions during the 21st century in Europe
Migliavacca, M., Dosio, A., Camia, A., Hobourg, R., Houston-Durrant, T., Kaiser, J. W., Khabarov, N., Krasovskii, A. A., Marcolla, B., Miguel-Ayanz, J. S., et al. (2013) · Journal of Geophysical Research Biogeosciences · doi:10.1002/2013jg002444 · Cited by 60
“…(4) Where β is defined as: β ¼ max 0;min 1; LF LFlow LFup LFlow (5) [23] The human ignition probability (IP_Ph) is described by using the relationship developed by [Venevsky et al., 2002], further modified by Kloster et al., [2010], which relates fire occurrence to population density (ρ) in terms…”
MethodDean, C., & Wardell-Johnson, G. (2010) · Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology · doi:10.1080/11263500903560751 · Cited by 46
“Venevsky et al. (2002) showed a logarithmic increase in fire frequency with human population density.”
BackgroundCharacterising fire regimes in Spain from fire statistics
Moreno, M. V., & Chuvieco, E. (2012) · International Journal of Wildland Fire · doi:10.1071/wf12061 · Cited by 54
Modelling burned area in Africa
Lehsten, V., Harmand, P., Palumbo, I., & Arneth, A. (2010) · Biogeosciences · doi:10.5194/bg-7-3199-2010 · Cited by 40
“Venevsky et al. (2002) used an exponential function to relate the number of ignitions by humans to population density.”
MethodZhu, Q., Li, F., Riley, W., Xu, L., Zhao, L., Yuan, K., Wu, H.-Y., Gong, J., & Randerson, J. (2021) · Geoscientific Model Development · doi:10.5194/gmd-2021-83 · Cited by 43
“The fire count in BASE-Fire is modeled as the sum of anthropogenic ignition and natural ignition, where the latter is proportional to lightning density (Prentice and Mackerras, 1977) and the former is determined by population density (Venevsky et al., 2002).”
BackgroundImproving the LPJmL4-SPITFIRE vegetation–fire model for South America using satellite data
(2019) · doi:10.5194/gmd-12-5029-2019 · Cited by 42
Self-citationWu, C., Sitch, S. A., Huntingford, C., Mercado, L. M., Venevsky, S., Lasslop, G., Archibald, S. A., & Staver, A. C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2101186119 · Cited by 46
Self-citationFragmentation-Driven Divergent Trends in Burned Area in Amazonia and Cerrado
Rosan, T. M., Sitch, S. A., Mercado, L. M., Heinrich, V., Friedlingstein, P., & Aragão, L. E. O. C. (2022) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2022.801408 · Cited by 60
“, population density) that are constant across vegetation types (Venevsky et al., 2002; Hantson et al., 2016; Rabin et al., 2017).”
BackgroundSelf-citationThonicke, K., & Cramer, W. (2006) · doi:10.1007/s11069-005-8639-8 · Cited by 39
Self-citationTian, C., Yue, X., Zhu, J., Liao, H., Yang, Y., Lei, Y., Zhou, X., Zhou, H., Ma, Y., & Cao, Y. (2022) · Atmospheric chemistry and physics · doi:10.5194/acp-22-12353-2022 · Cited by 48
Modeling burned area in Europe with the Community Land Model
Migliavacca, M., Dosio, A., Kloster, S., Ward, D. S., Camia, A., Houborg, R., Durrant, T. H., Khabarov, N., Krasovskii, A. A., Miguel-Ayanz, J. S., et al. (2013) · Journal of Geophysical Research Biogeosciences · doi:10.1002/jgrg.20026 · Cited by 37
“Many studies conducted at local [e.g., Guyette et al., 2002; Martell et al., 1989], regional [e.g., Venevsky et al., 2002; Costa et al., 2011], and global [e.g., Pechony and Shindell, 2009] scales apply an empirical relationship between population density and anthropogenic ignition sources and…”
BackgroundPoulter, B., Cadule, P., Fortems‐Cheiney, A., Ciais, P., Hodson, E. L., Peylin, P., Plummer, S., Spessa, A. C., Saatchi, S. S., Yue, C., et al. (2015) · Global Biogeochemical Cycles · doi:10.1002/2013gb004655 · Cited by 40
de la Cueva, A. V., del Barrio, J. M. D., Quero, M. O., & Palomares, O. S. (2006) · International Journal of Wildland Fire · doi:10.1071/wf05071 · Cited by 36
“Population density (PD) has been considered a good estimator of ignition sources in populated territories, such as peninsular Spain, in previous fire regime modeling efforts (Venevsky et al. 2002).”
BackgroundRegional model assessments of fire risks under global climate changes
Mokhov, I., Chernokulsky, A., & Shkolnik, I. (2006) · doi:10.1134/s1028334x06090340 · Cited by 34
Wang, Z., Zhang, X., & Xu, B. (2015) · Sustainability · doi:10.3390/su7079734 · Cited by 30
“vegetation distribution are the more sensitive drivers of fire [10,11].”
BackgroundModelling long-term fire regimes of southern California shrublands
Peterson, S. H., Moritz, M. A., Morais, M. E., Dennison, P. E., & Carlson, J. M. (2011) · International Journal of Wildland Fire · doi:10.1071/wf09102 · Cited by 36
Regional model assessments of forest fire risks in the Asian part of Russia under climate change
Mokhov, I., & Chernokulsky, A. (2010) · doi:10.1016/j.gnr.2010.06.012 · Cited by 32
“In addition to allowing for the characteristics of potential fire danger, account must be taken of the influence of local anthropogenic [19] and natural (lightning activity) impacts on the likelihood of fire emergence.”
BackgroundGlobal combustion: the connection between fossil fuel and biomass burning emissions (1997–2010)
Balch, J. K., Nagy, R. C., Archibald, S., Bowman, D. M. J. S., Moritz, M. A., Roos, C. I., Scott, A. C., & Williamson, G. J. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0177 · Cited by 31
van Marle, M. V., Kloster, S., Magi, B., Marlon, J., Daniau, A., Field, R., Arneth, A., Forrest, M., Hantson, S., Kehrwald, N., et al. (2017) · doi:10.5194/gmd-2017-32 · Cited by 30
“SPITFIRE is a process-based global fire model and a further development of the Reg-FIRM approach (Venevsky et al., 2002), but uses a more complete set of physical representations of spread and fire intensity.”
MethodSpatial and temporal variation of air pollutant emissions from forest fires in China
Song, R., Wang, T.-J., Han, J.-C., Xu, B.-Y., Ma, D., Zhang, M., Li, S., Zhuang, B.-L., Li, M.-M., & Xie, M. (2022) · Atmospheric Environment · doi:10.1016/j.atmosenv.2022.119156 · Cited by 27
Metadata
- Authors
- Venevsky, S., Thonicke, K., Sitch, S., & Cramer, W.
- Affiliations
- Potsdam Institute for Climate Impact Research (DE)
- Corresponding author
- Venevsky, Sergey
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2002-09-06
- Volume
- 8
- Issue
- 10
- Pages
- 984-998
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2138044865
- Cited by
- 190
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 16 · 2023: 6 · 2022: 11 · 2021: 17 · 2020: 6 · 2019: 3 · 2018: 6 · 2017: 8 · 2016: 8 · 2015: 8 · 2014: 7 · 2013: 11 · 2012: 11
- FWCI
- 2.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Global Change Biology (publishedVersion)
- HAL (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Plant Water Relations and Carbon Dynamics
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest Management and Policy
- Keywords
- fire regimes, fire modeling, fire danger, burned area estimation, human-dominated ecosystems, dynamic global vegetation models, fire-vegetation feedbacks, dry days, human population density, Iberian Peninsula, Peninsular Spain
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