Advertisement

Burn less, baby, burn less

Humans have, and always have had, a major impact on wildfire activity, which is expectedto increase in our warming world. Andela et al. use satellite data toshow that, unexpectedly, global burned area declined by ∼25% over the past 18years, despite the influence of climate. The decrease has been largest in savannas andgrasslands because of agricultural expansion and intensification. The decline of burnedarea has consequences for predictions of future changes to the atmosphere, vegetation,and the terrestrial carbon sink.
Science, this issue p. 1356

Abstract

Fire is an essential Earth system process that alters ecosystem and atmospheric composition. Here we assessed long-term fire trends using multiple satellite data sets. We found that global burned area declined by 24.3 ± 8.8% over the past 18 years. The estimated decrease in burned area remained robust after adjusting for precipitation variability and was largest in savannas. Agricultural expansion and intensification were primary drivers of declining fire activity. Fewer and smaller fires reduced aerosol concentrations, modified vegetation structure, and increased the magnitude of the terrestrial carbon sink. Fire models were unable to reproduce the pattern and magnitude of observed declines, suggesting that they may overestimate fire emissions in future projections. Using economic and demographic variables, we developed a conceptual model for predicting fire in human-dominated landscapes.
Get full access to this article

View all available purchase options and get full access to this article.

Already a Subscriber?

Supplementary Material

Summary

Materials and Methods
Figs. S1 to S18
Tables S1 to S6
References (4190)

Resources

File (20170619_andela_sm.pdf)
File (firemip_data.zip)

References and Notes

1
W. J. Bond, F. I. Woodward, G. F. Midgley, The global distribution of ecosystems in a world without fire. New Phytol. 165, 525–538 (2005).
2
P. J. Crutzen, M. O. Andreae, Biomass burning in the tropics: Impact on atmospheric chemistry and biogeochemical cycles. Science 250, 1669–1678 (1990).
3
J. Lelieveld, J. S. Evans, M. Fnais, D. Giannadaki, A. Pozzer, The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525, 367–371 (2015).
4
D. M. J. S. Bowman, J. K. Balch, P. Artaxo, W. J. Bond, J. M. Carlson, M. A. Cochrane, C. M. D’Antonio, R. S. Defries, J. C. Doyle, S. P. Harrison, F. H. Johnston, J. E. Keeley, M. A. Krawchuk, C. A. Kull, J. B. Marston, M. A. Moritz, I. C. Prentice, C. I. Roos, A. C. Scott, T. W. Swetnam, G. R. van der Werf, S. J. Pyne, Fire in the Earth system. Science 324, 481–484 (2009).
5
R. J. Scholes, S. R. Archer, Tree-grass interactions in savannas. Annu. Rev. Ecol. Syst. 28, 517–544 (1997).
6
T. W. Swetnam, J. L. Betancourt, Fire-southern oscillation relations in the southwestern United States. Science 249, 1017–1020 (1990).
7
S. E. Page, F. Siegert, J. O. Rieley, H.-D. V. Boehm, A. Jaya, S. Limin, The amount of carbon released from peat and forest fires in Indonesia during 1997. Nature 420, 61–65 (2002).
8
M. A. Cochrane, M. D. Schulze, Fire as a recurrent event in tropical forests of the eastern Amazon: Effects on forest structure, biomass, and species composition. Biotropica 31, 2–16 (1999).
9
J. T. Randerson, H. Liu, M. G. Flanner, S. D. Chambers, Y. Jin, P. G. Hess, G. Pfister, M. C. Mack, K. K. Treseder, L. R. Welp, F. S. Chapin, J. W. Harden, M. L. Goulden, E. Lyons, J. C. Neff, E. A. G. Schuur, C. S. Zender, The impact of boreal forest fire on climate warming. Science 314, 1130–1132 (2006).
10
D. S. Ward, S. Kloster, N. M. Mahowald, B. M. Rogers, J. T. Randerson, P. G. Hess, The changing radiative forcing of fires: Global model estimates for past, present and future. Atmos. Chem. Phys. 12, 10857–10886 (2012).
11
S. Archibald, A. Nickless, N. Govender, R. J. Scholes, V. Lehsten, Climate and the inter-annual variability of fire in southern Africa: A meta-analysis using long-term field data and satellite-derived burnt area data. Glob. Ecol. Biogeogr. 19, 794–809 (2010).
12
O. Pechony, D. T. Shindell, Driving forces of global wildfires over the past millennium and the forthcoming century. Proc. Natl. Acad. Sci. U.S.A. 107, 19167–19170 (2010).
13
M. A. Moritz, E. Batllori, R. A. Bradstock, A. M. Gill, J. Handmer, P. F. Hessburg, J. Leonard, S. McCaffrey, D. C. Odion, T. Schoennagel, A. D. Syphard, Learning to coexist with wildfire. Nature 515, 58–66 (2014).
14
L. E. Aragão, Y. Malhi, N. Barbier, A. Lima, Y. Shimabukuro, L. Anderson, S. Saatchi, Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia. Philos. Trans. R. Soc. London B Biol. Sci. 363, 1779–1785 (2008).
15
N. Andela, G. R. van der Werf, Recent trends in African fires driven by cropland expansion and El Niño to La Niña transition. Nat. Clim. Chang. 4, 791–795 (2014).
16
W. M. Jolly, M. A. Cochrane, P. H. Freeborn, Z. A. Holden, T. J. Brown, G. J. Williamson, D. M. J. S. Bowman, Climate-induced variations in global wildfire danger from 1979 to 2013. Nat. Commun. 6, 7537 (2015).
17
I. Bistinas, S. P. Harrison, I. C. Prentice, J. M. C. Pereira, Causal relationships versus emergent patterns in the global controls of fire frequency. Biogeosciences 11, 5087–5101 (2014).
18
S. Archibald, D. P. Roy, B. W. van Wilgen, R. J. Scholes, What limits fire? An examination of drivers of burnt area in Southern Africa. Glob. Change Biol. 15, 613–630 (2009).
19
E. Chuvieco, C. O. Justice, in Advances in Earth Observation of Global Change, E. Chuvieco, J. Li, X. Yang, Eds. (2010), pp. 187–199.
20
United States Census Bureau, Historical estimates of world population; www.census.gov.
21
N. Alexandratos, J. Bruinsma, Food and Agriculture Organization, World agriculture towards 2030/2050: The 2012 revision. ESA Work. Pap. No. 12-03 (2012).
22
N. Ramankutty, A. T. Evan, C. Monfreda, J. A. Foley, Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000. Global Biogeochem. Cycles 22, GB1003 (2008).
23
S. J. Pyne, Fire in America. A Cultural History of Wildland and Rural Fire (Princeton Univ. Press, 1982).
24
M. J. E. van Marle et al., Historic global biomass burning emissions based on merging satellite observations with proxies and fire models (1750-2015). Geosci. Model Dev. Discuss. (2017). doi:.
25
J. R. Marlon, P. J. Bartlein, C. Carcaillet, D. G. Gavin, S. P. Harrison, P. E. Higuera, F. Joos, M. J. Power, I. C. Prentice, Climate and human influences on global biomass burning over the past two millennia. Nat. Geosci. 1, 697–702 (2008).
26
J. T. Randerson, Y. Chen, G. R. van der Werf, B. M. Rogers, D. C. Morton, Global burned area and biomass burning emissions from small fires. J. Geophys. Res. 117, G04012 (2012).
27
G. R. van der Werf et al., Global fire emissions estimates during 1997-2015. Earth Syst. Sci. Data Discuss. (2017).
28
Materials and methods are available as supplementary materials.
29
L. Giglio, T. Loboda, D. P. Roy, B. Quayle, C. O. Justice, An active-fire based burned area mapping algorithm for the MODIS sensor. Remote Sens. Environ. 113, 408–420 (2009).
30
D. Mollicone, H. D. Eva, F. Achard, Ecology: Human role in Russian wild fires. Nature 440, 436–437 (2006).
31
J. A. Foley, R. Defries, G. P. Asner, C. Barford, G. Bonan, S. R. Carpenter, F. S. Chapin, M. T. Coe, G. C. Daily, H. K. Gibbs, J. H. Helkowski, T. Holloway, E. A. Howard, C. J. Kucharik, C. Monfreda, J. A. Patz, I. C. Prentice, N. Ramankutty, P. K. Snyder, Global consequences of land use. Science 309, 570–574 (2005).
32
T. K. Rudel, R. Defries, G. P. Asner, W. F. Laurance, Changing drivers of deforestation and new opportunities for conservation. Conserv. Biol. 23, 1396–1405 (2009).
33
H.-W. Lin, J. L. McCarty, D. Wang, B. M. Rogers, D. C. Morton, G. J. Collatz, Y. Jin, J. T. Randerson, Management and climate contributions to satellite-derived active fire trends in the contiguous United States. J. Geophys. Res. Biogeosci. 119, 645–660 (2014).
34
S. S. Rabin, J. R. Melton, G. Lasslop, D. Bachelet, M. Forrest, S. Hantson, J. O. Kaplan, F. Li, S. Mangeon, D. S. Ward, C. Yue, V. K. Arora, T. Hickler, S. Kloster, W. Knorr, L. Nieradzik, A. Spessa, G. A. Folberth, T. Sheehan, A. Voulgarakis, D. I. Kelley, I. C. Prentice, S. Sitch, S. Harrison, A. Arneth, The Fire Modeling Intercomparison Project (FireMIP), phase 1: Experimental and analytical protocols with detailed model descriptions. Geosci. Model Dev. 10, 1175–1197 (2017).
35
C. Le Quéré, R. Moriarty, R. M. Andrew, G. P. Peters, P. Ciais, P. Friedlingstein, S. D. Jones, S. Sitch, P. Tans, A. Arneth, T. A. Boden, L. Bopp, Y. Bozec, J. G. Canadell, L. P. Chini, F. Chevallier, C. E. Cosca, I. Harris, M. Hoppema, R. A. Houghton, J. I. House, A. K. Jain, T. Johannessen, E. Kato, R. F. Keeling, V. Kitidis, K. Klein Goldewijk, C. Koven, C. S. Landa, P. Landschützer, A. Lenton, I. D. Lima, G. Marland, J. T. Mathis, N. Metzl, Y. Nojiri, A. Olsen, T. Ono, S. Peng, W. Peters, B. Pfeil, B. Poulter, M. R. Raupach, P. Regnier, C. Rödenbeck, S. Saito, J. E. Salisbury, U. Schuster, J. Schwinger, R. Séférian, J. Segschneider, T. Steinhoff, B. D. Stocker, A. J. Sutton, T. Takahashi, B. Tilbrook, G. R. van der Werf, N. Viovy, Y.-P. Wang, R. Wanninkhof, A. Wiltshire, N. Zeng, Global carbon budget 2014. Earth Syst. Sci. Data 7, 47–85 (2015).
36
A. Ahlström, M. R. Raupach, G. Schurgers, B. Smith, A. Arneth, M. Jung, M. Reichstein, J. G. Canadell, P. Friedlingstein, A. K. Jain, E. Kato, B. Poulter, S. Sitch, B. D. Stocker, N. Viovy, Y. P. Wang, A. Wiltshire, S. Zaehle, N. Zeng, Carbon cycle. The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science 348, 895–899 (2015).
37
A. L. Rice, C. L. Butenhoff, D. G. Teama, F. H. Röger, M. A. K. Khalil, R. A. Rasmussen, Atmospheric methane isotopic record favors fossil sources flat in 1980s and 1990s with recent increase. Proc. Natl. Acad. Sci. U.S.A. 113, 10791–10796 (2016).
38
W. J. Bond, Ancient grasslands at risk. Science 351, 120–122 (2016).
39
G. P. Hempson, S. Archibald, W. J. Bond, A continent-wide assessment of the form and intensity of large mammal herbivory in Africa. Science 350, 1056–1061 (2015).
40
C. L. Parr, C. E. R. Lehmann, W. J. Bond, W. A. Hoffmann, A. N. Andersen, Tropical grassy biomes: Misunderstood, neglected, and under threat. Trends Ecol. Evol. 29, 205–213 (2014).
41
A. F. A. Pellegrini, Nutrient limitation in tropical savannas across multiple scales and mechanisms. Ecology 97, 313–324 (2016).
42
G. R. van der Werf, J. T. Randerson, L. Giglio, G. J. Collatz, M. Mu, P. S. Kasibhatla, D. C. Morton, R. S. DeFries, Y. Jin, T. T. van Leeuwen, Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). Atmos. Chem. Phys. 10, 11707–11735 (2010).
43
L. Giglio, J. T. Randerson, G. R. van der Werf, Analysis of daily, monthly, and annual burned area using the fourth-generation global fire emissions database (GFED4). J. Geophys. Res. Biogeosci. 118, 317–328 (2013).
44
M. Wooster, G. Roberts, G. L. W. Perry, Y. Kaufman, Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption. J. Geophys. Res. 110 (D24), D24311 (2005).
45
K. J. Wessels, S. D. Prince, J. Malherbe, J. Small, P. E. Frost, D. VanZyl, Can human-induced land degradation be distinguished from the effects of rainfall variability? A case study in South Africa. J. Arid Environ. 68, 271–297 (2007).
46
J. Evans, R. Geerken, Discrimination between climate and human-induced dryland degradation. J. Arid Environ. 57, 535–554 (2004).
47
N. Andela, Y. Y. Liu, A. I. J. M. van Dijk, R. A. M. de Jeu, T. R. McVicar, Global changes in dryland vegetation dynamics (1988–2008) assessed by satellite remote sensing: Comparing a new passive microwave vegetation density record with reflective greenness data. Biogeosciences 10, 6657–6676 (2013).
48
S. M. Herrmann, A. Anyamba, C. J. Tucker, Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Glob. Environ. Change 15, 394–404 (2005).
49
F. Tian, M. Brandt, Y. Y. Liu, K. Rasmussen, R. Fensholt, Mapping gains and losses in woody vegetation across global tropical drylands. Glob. Chang. Biol. 23, 1748–1760 (2017).
50
G. R. van der Werf, J. T. Randerson, L. Giglio, N. Gobron, A. J. Dolman, Climate controls on the variability of fires in the tropics and subtropics. Global Biogeochem. Cycles 22, GB3028 (2008).
51
Y. Chen, J. T. Randerson, D. C. Morton, R. S. DeFries, G. J. Collatz, P. S. Kasibhatla, L. Giglio, Y. Jin, M. E. Marlier, Forecasting fire season severity in South America using sea surface temperature anomalies. Science 334, 787–791 (2011).
52
G. J. Huffman, D. T. Bolvin, E. J. Nelkin, D. B. Wolff, R. F. Adler, G. Gu, Y. Hong, K. P. Bowman, E. F. Stocker, The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales. J. Hydrometeorol. 8, 38–55 (2007).
53
R. F. Adler, G. J. Huffman, A. Chang, R. Ferraro, P.-P. Xie, J. Janowiak, B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber, J. Susskind, P. Arkin, E. Nelkin, The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present). J. Hydrometeorol. 4, 1147–1167 (2003).
54
G. J. Huffman, R. F. Adler, D. T. Bolvin, G. Gu, Improving the global precipitation record: GPCP Version 2.1. Geophys. Res. Lett. 36, L17808 (2009).
55
S. Archibald, D. P. Roy, Identifying individual fires from satellite-derived burned area data. IEEE Int. Geosci. Remote Sens. Symp. Proc. 9, 160–163 (2009).
56
D. Oom, P. C. Silva, I. Bistinas, J. M. C. Pereira, Highlighting biome-specific sensitivity of fire size distributions to time-gap parameter using a new algorithm for fire event individuation. Remote Sens. 8, 663 (2016).
57
S. Hantson, S. Pueyo, E. Chuvieco, Global fire size distribution is driven by human impact and climate. Glob. Ecol. Biogeogr. 24, 77–86 (2015).
58
M. C. Hansen et al., Towards an operational MODIS continuous field of percent tree cover algorithm: Examples using AVHRR and MODIS data. Remote Sens. Environ. 83, 303–319 (2002).
59
S. Hantson, A. Arneth, S. P. Harrison, D. I. Kelley, I. C. Prentice, S. S. Rabin, S. Archibald, F. Mouillot, S. R. Arnold, P. Artaxo, D. Bachelet, P. Ciais, M. Forrest, P. Friedlingstein, T. Hickler, J. O. Kaplan, S. Kloster, W. Knorr, G. Lasslop, F. Li, S. Mangeon, J. R. Melton, A. Meyn, S. Sitch, A. Spessa, G. R. van der Werf, A. Voulgarakis, C. Yue, The status and challenge of global fire modelling. Biogeosciences 13, 3359–3375 (2016).
60
F. Li, X. D. Zeng, S. Levis, A process-based fire parameterization of intermediate complexity in a dynamic global vegetation model. Biogeosciences 9, 2761–2780 (2012).
61
F. Li, S. Levis, D. S. Ward, Quantifying the role of fire in the Earth system - Part 1: Improved global fire modeling in the Community Earth System Model (CESM1). Biogeosciences 10, 2293–2314 (2013).
62
W. Knorr, L. Jiang, A. Arneth, Climate, CO2 and human population impacts on global wildfire emissions. Biogeosciences 13, 267–282 (2016).
63
B. Smith, D. Wårlind, A. Arneth, T. Hickler, P. Leadley, J. Siltberg, S. Zaehle, Implications of incorporating N cycling and N limitations on primary production in an individual-based dynamic vegetation model. Biogeosciences 11, 2027–2054 (2014).
64
V. Lehsten, K. Tansey, H. Balzter, K. Thonicke, A. Spessa, U. Weber, B. Smith, A. Arneth, Estimating carbon emissions from African wildfires. Biogeosciences 6, 349–360 (2009).
65
C. Yue, P. Ciais, P. Cadule, K. Thonicke, S. Archibald, B. Poulter, W. M. Hao, S. Hantson, F. Mouillot, P. Friedlingstein, F. Maignan, N. Viovy, Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE - Part 1: Simulating historical global burned area and fire regimes. Geosci. Model Dev. 7, 2747–2767 (2014).
66
C. Yue, P. Ciais, P. Cadule, K. Thonicke, T. T. Van Leeuwen, Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE -Part 2: Carbon emissions and the role of fires in the global carbon balance. Geosci. Model Dev. 8, 1321–1338 (2015).
67
G. Lasslop, K. Thonicke, S. Kloster, SPITFIRE within the MPI Earth system model: Model development and evaluation. J. Adv. Model. Earth Syst. 6, 740–755 (2014).
68
S. Mangeon, A. Voulgarakis, R. Gilham, A. Harper, S. Sitch, G. Folberth, INFERNO: A fire and emissions scheme for the UK Met Office’s Unified Model. Geosci. Model Dev. 9, 2685–2700 (2016).
69
V. K. Arora, G. J. Boer, Fire as an interactive component of dynamic vegetation models. J. Geophys. Res. 110, G02008 (2005).
70
J. R. Melton, V. K. Arora, Competition between plant functional types in the Canadian Terrestrial Ecosystem Model (CTEM) v. 2.0. Geosci. Model Dev. 9, 323–361 (2016).
71
D. Bachelet, K. Ferschweiler, T. J. Sheehan, B. M. Sleeter, Z. Zhu, Projected carbon stocks in the conterminous USA with land use and variable fire regimes. Glob. Chang. Biol. 21, 4548–4560 (2015).
72
B. Bhaduri, E. B. nad Phillip Coleman, J. Dobson, LandScan: Locating people is what matters. Geoinformatics 5, 34–37 (2002).
73
J. E. Dobson, E. A. Bright, P. R. Coleman, R. C. Durfee, B. A. Worley, LandScan: A global population database for estimating populations at risk. Photogramm. Eng. Remote Sensing 66, 849–857 (2000).
74
T. P. Robinson, G. Franceschini, W. Wint, The Food and Agriculture Organization’s gridded livestock of the world. Vet. Ital. 43, 745–751 (2007).
75
H. E. Jahnke, Livestock production systems and livestock development in tropical Africa (Kieler Wissenschaftsverlag Vauk, Kiel, Germany, 1982).
76
M. A. Friedl, D. K. McIver, J. C. F. Hodges, X. Y. Zhang, D. Muchoney, A. H. Strahler, C. E. Woodcock, S. Gopal, A. Schneider, A. Cooper, A. Baccini, F. Gao, C. Schaaf, Global land cover mapping from MODIS: Algorithms and early results. Remote Sens. Environ. 83, 287–302 (2002).
77
Food and Agriculture Organization Statistics devision, FAO (2016); http://faostat3.fao.org.
78
V. R. Pivello, The use of fire in the cerrado and Amazonian rainforests of Brazil: Past and present. Fire Ecol. 7, 24–39 (2011).
79
G. Hardin, The tragedy of the commons. The population problem has no technical solution; it requires a fundamental extension in morality. Science 162, 1243–1248 (1968).
80
M. Owe, R. A. M. de Jeu, T. Holmes, Multisensor historical climatology of satellite-derived global land surface moisture. J. Geophys. Res. Earth Surf. 113, F01002 (2008).
81
Y. Le Page, D. Oom, J. M. N. Silva, P. Jönsson, J. M. C. Pereira, Seasonality of vegetation fires as modified by human action: Observing the deviation from eco-climatic fire regimes. Glob. Ecol. Biogeogr. 19, 575–588 (2010).
82
H. Lu, M. R. Raupach, T. R. McVicar, D. J. Barrett, Decomposition of vegetation cover into woody and herbaceous components using AVHRR NDVI time series. Remote Sens. Environ. 86, 1–18 (2003).
83
C. S. Potter, J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney, S. A. Klooster, Terrestrial ecosystem production: A process model based on global satellite and surface data. Global Biogeochem. Cycles 7, 811–841 (1993).
84
R. A. Kahn, B. J. Gaitley, M. J. Garay, D. J. Diner, T. F. Eck, A. Smirnov, B. N. Holben, Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network. J. Geophys. Res. Atmos. 115, D23209 (2010).
85
M. N. Deeter, S. Martínez-Alonso, D. P. Edwards, L. K. Emmons, J. C. Gille, H. M. Worden, C. Sweeney, J. V. Pittman, B. C. Daube, S. C. Wofsy, The MOPITT Version 6 product: Algorithm enhancements and validation. Atmos. Meas. Tech. 7, 3623–3632 (2014).
86
Y. Chen, D. C. Morton, N. Andela, L. Giglio, J. T. Randerson, How much global burned area can be forecast on seasonal time scales using sea surface temperatures? Environ. Res. Lett. 11, 045001 (2016).
87
R. D. Field, G. R. van der Werf, T. Fanin, E. J. Fetzer, R. Fuller, H. Jethva, R. Levy, N. J. Livesey, M. Luo, O. Torres, H. M. Worden, Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought. Proc. Natl. Acad. Sci. U.S.A. 113, 9204–9209 (2016).
88
G. R. van der Werf, J. Dempewolf, S. N. Trigg, J. T. Randerson, P. S. Kasibhatla, L. Giglio, D. Murdiyarso, W. Peters, D. C. Morton, G. J. Collatz, A. J. Dolman, R. S. DeFries, Climate regulation of fire emissions and deforestation in equatorial Asia. Proc. Natl. Acad. Sci. U.S.A. 105, 20350–20355 (2008).
89
K. Klein Goldewijk, A. Beusen, G. Van Drecht, M. De Vos, The HYDE 3.1 spatially explicit database of human-induced global land-use change over the past 12,000 years. Glob. Ecol. Biogeogr. 20, 73–86 (2011).
90
G. C. Hurtt, L. P. Chini, S. Frolking, R. A. Betts, J. Feddema, G. Fischer, J. P. Fisk, K. Hibbard, R. A. Houghton, A. Janetos, C. D. Jones, G. Kindermann, T. Kinoshita, K. Klein Goldewijk, K. Riahi, E. Shevliakova, S. Smith, E. Stehfest, A. Thomson, P. Thornton, D. P. van Vuuren, Y. P. Wang, Harmonization of land-use scenarios for the period 1500-2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Clim. Change 109, 117–161 (2011).

Information & Authors

Information

Published In

Science
Volume 356 | Issue 6345
30 June 2017

Submission history

Received: 22 November 2016
Accepted: 2 June 2017
Published in print: 30 June 2017

Permissions

Request permissions for this article.

Acknowledgments

N.A, Y.C., and J.T.R. received funding from the Gordon and Betty Moore Foundation (grant GBMF3269). D.C.M. was supported by NASA’s Interdisciplinary Science and Carbon Monitoring System Programs. G.R.v.d.W. was supported by the Netherlands Organisation for Scientific Research (NWO), S.H. by the EU FP7 projects BACCHUS (grant 603445) and LUC4C (grant 603542), F.L. by the National Science Foundation of China (grant 41475099), and C.Y. by the European Space Agency Fire_CCI project. We thank M. N. Deeter for helpful suggestions on the CO analysis. The authors declare that they have no competing interests. Data used in this study are available at www.globalfiredata.org, https://reverb.echo.nasa.gov/, http://gpcp.umd.edu/, www.fao.org, and http://web.ornl.gov/sci/landscan/ and are described in more detail in the supplementary materials. FireMIP model simulation output is archived with the supporting information, and full data sets are available on request.

Authors

Affiliations

Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA.
Department of Earth System Science, University of California, Irvine, CA 92697, USA.
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA.
L. Giglio
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA.
Department of Earth System Science, University of California, Irvine, CA 92697, USA.
Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Nicholas School of the Environment, Duke University, Durham, NC 27708, USA.
Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA.
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA.
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany.
Max Planck Institute for Meteorology, Bundesstraße 53, 20164 Hamburg, Germany.
Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97331, USA.
Senckenberg Biodiversity and Climate Research Institute (BiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany.
Max Planck Institute for Meteorology, Bundesstraße 53, 20164 Hamburg, Germany.
International Center for Climate and Environmental Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Department of Physics, Imperial College London, London, UK.
Climate Research Division, Environment Canada, Victoria, BC V8W 2Y2, Canada.
Laboratoire des Sciences du Climat et de l’Environnement–Institute Pierre Simon Laplace, Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA)–Centre National de la Recherche Scientifique (CNRS)–Université de Versailles Saint Quentin, Université Paris-Saclay, 91198 Gif-sur-Yvette, France.
Department of Earth System Science, University of California, Irvine, CA 92697, USA.

Funding Information

Notes

*Corresponding author. Email: [email protected]

Metrics & Citations

Metrics

Article Usage
Altmetrics

Citations

Export citation

Select the format you want to export the citation of this publication.

Cited by
  1. Decadal changes in fire frequencies shift tree communities and functional traits, Nature Ecology & Evolution, 5, 4, (504-512), (2021).https://doi.org/10.1038/s41559-021-01401-7
    Crossref
  2. Importance of Uncertainties in the Spatial Distribution of Preindustrial Wildfires for Estimating Aerosol Radiative Forcing, Geophysical Research Letters, 48, 6, (2021).https://doi.org/10.1029/2020GL089758
    Crossref
  3. Spatio–Temporal Variations of Levoglucosan on Tibetan Glaciers, Geochemical Behavior of Levoglucosan in Tibetan Plateau Glacier Snow and Ice, (23-44), (2021).https://doi.org/10.1007/978-981-15-7973-8_4
    Crossref
  4. Hydrological impacts of a wildfire in a Boreal region: The Västmanland fire 2014 (Sweden), Science of The Total Environment, 756, (143519), (2021).https://doi.org/10.1016/j.scitotenv.2020.143519
    Crossref
  5. Holocene fire history in China: Responses to climate change and human activities, Science of The Total Environment, 753, (142019), (2021).https://doi.org/10.1016/j.scitotenv.2020.142019
    Crossref
  6. Carbon cycling in mature and regrowth forests globally, Environmental Research Letters, 16, 5, (053009), (2021).https://doi.org/10.1088/1748-9326/abed01
    Crossref
  7. Economic drivers of global fire activity: A critical review using the DPSIR framework, Forest Policy and Economics, 131, (102563), (2021).https://doi.org/10.1016/j.forpol.2021.102563
    Crossref
  8. Transforming fire management in northern Australia through successful implementation of savanna burning emissions reductions projects, Journal of Environmental Management, 290, (112568), (2021).https://doi.org/10.1016/j.jenvman.2021.112568
    Crossref
  9. Improving prediction and assessment of global fires using multilayer neural networks, Scientific Reports, 11, 1, (2021).https://doi.org/10.1038/s41598-021-81233-4
    Crossref
  10. Climatic and non-climatic vegetation cover changes in the rangelands of Africa, Global and Planetary Change, 202, (103516), (2021).https://doi.org/10.1016/j.gloplacha.2021.103516
    Crossref
  11. See more
Loading...

View Options

Get Access

Log in to view the full text

AAAS Log in

AAAS login provides access to Science for AAAS members, and access to other journals in the Science family to users who have purchased individual subscriptions.

Log in via OpenAthens.
Log in via Shibboleth.
More options

Register for free to read this article

As a service to the community, this article is available for free. Login or register for free to read this article.

Purchase this issue in print

Buy a single issue of Science for just $15 USD.

View options

PDF format

Download this article as a PDF file

Download PDF

Media

Figures

Multimedia

Tables

Share

Share

Share article link

Share on social media