Cited by 31Fire effects on ecosystemsAtmospheric chemistry and aerosolsAtmospheric aerosols and clouds

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Future inhibition of ecosystem productivity by increasing wildfire pollution over boreal North America

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Yue, Xu, Strada, Susanna, Unger, Nadine, Wang, Aihui·2017·Atmospheric Chemistry and Physics

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Abstract

Abstract. Biomass burning is an important source of tropospheric ozone (O3) and aerosols. These air pollutants can affect vegetation photosynthesis through stomatal uptake (for O3) and light scattering and absorption (for aerosols). Wildfire area burned is projected to increase significantly in boreal North America by the mid-century, while little is known about the impacts of enhanced emissions on the terrestrial carbon budget. Here, combining site-level and satellite observations and a carbon–chemistry–climate model, we estimate the impacts of fire emitted O3 and aerosols on net primary productivity (NPP) over boreal North America. Fire emissions are calculated based on an ensemble projection from 13 climate models. In the present day, wildfire enhances surface O3 by 2 ppbv (7 %) and aerosol optical depth (AOD) at 550 nm by 0.03 (26 %) in the summer. By mid-century, area burned is predicted to increase by 66 % in boreal North America, contributing more O3 (13 %) and aerosols (37 %). Fire O3 causes negligible impacts on NPP because ambient O3 concentration (with fire contributions) is below the damage threshold of 40 ppbv for 90 % summer days. Fire aerosols reduce surface solar radiation but enhance atmospheric absorption, resulting in enhanced air stability and intensified regional drought. The domain of this drying is confined to the north in the present day but extends southward by 2050 due to increased fire emissions. Consequently, wildfire aerosols enhance NPP by 72 Tg C yr−1 in the present day but decrease NPP by 118 Tg C yr−1 in the future, mainly because of the soil moisture perturbations. Our results suggest that future wildfire may accelerate boreal carbon loss, not only through direct emissions increasing from 68 Tg C yr−1 at present day to 130 Tg C yr−1 by mid-century but also through the biophysical impacts of fire aerosols.

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  • Fire-produced aerosol particles increase net primary productivity via diffuse radiation effects, although decreases in productivity were found in a future midcentury scenario due to drought induced by fire aerosol impacts on atmospheric stability and moisture.

    “Fire-produced aerosol particles were found to produce an increase in net primary productivity via diffuse radiation effects, although decreases in productivity were found in a future midcentury scenario due to drought induced by fi re aerosol impacts on atmospheric stability and moisture (Yue et al., 2017).”

    From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Yue et al., 2017

  • Ozone sourced from boreal wildfires has only negligible effects on forest productivity in boreal North America.

    “A recent study showed only negligible effects from ozone sourced from boreal wild fi res on forest productivity in boreal North America (Yue et al., 2017).”

    From Local Arctic Air Pollution: A Neglected but Serious Problem (2018) · cites this paper as Yue et al., 2017

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  1. Alvarado, M. J., Logan, J. A., Mao, J., Apel, E., Riemer, D., Blake, D., Cohen, R. C., Min, K.-E., Perring, A. E., Browne, E. C., Wooldridge, P. J., Diskin, G. S., Sachse, G. W., Fuelberg, H., Sessions, W. R., Harrigan, D. L., Huey, G., Liao, J., Case-Hanks, A., Jimenez, J. L., Cubison, M. J., Vay, S. A., Weinheimer, A. J., Knapp, D. J., Montzka, D. D., Flocke, F. M., Pollack, I. B., Wennberg, P. O., Kurten, A., Crounse, J., Clair, J. M. St., Wisthaler, A., Mikoviny, T., Yantosca, R. M., Carouge, C. C., and Le Sager, P.: Nitrogen oxides and PAN in plumes from boreal fires during ARCTAS-B and their impact on ozone: an integrated analysis of aircraft and satellite observations, Atmos. Chem. Phys., 10, 9739–9760, https://doi.org/10.5194/acp-10-9739-2010, 2010. · DOI
  2. Amiro, B. D., Cantin, A., Flannigan, M. D., and de Groot, W. J.: Future emissions from Canadian boreal forest fires, Can. J. Forest Res., 39, 383–395, https://doi.org/10.1139/X08-154, 2009. · DOI
  3. Andreae, M. O. and Merlet, P.: Emission of trace gases and aerosols from biomass burning, Global Biogeochem. Cy., 15, 955–966, 2001. · DOI
  4. Atkin, O. K. and Tjoelker, M. G.: Thermal acclimation and the dynamic response of plant respiration to temperature, Trends Plant Sci., 8, 343–351, https://doi.org/10.1016/S1360-1385(03)00136-5, 2003. · DOI
  5. Baker, D. F., Law, R. M., Gurney, K. R., Rayner, P., Peylin, P., Denning, A. S., Bousquet, P., Bruhwiler, L., Chen, Y. H., Ciais, P., Fung, I. Y., Heimann, M., John, J., Maki, T., Maksyutov, S., Masarie, K., Prather, M., Pak, B., Taguchi, S., and Zhu, Z.: TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988–2003, Global Biogeochem. Cy., 20, GB1002, https://doi.org/10.1029/2004gb002439, 2006. · DOI
  6. Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal conductance and its contribution to the control of photosyn- thesis under different environmental conditions, in: Progress in Photosynthesis Research, edited by: Biggins, J., Nijhoff, Dordrecht, Netherlands, 110–112, 1987. · DOI
  7. Balshi, M. S., McGuirez, A. D., Duffy, P., Flannigan, M., Walsh, J., and Melillo, J.: Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach, Glob. Change Biol., 15, 578–600, https://doi.org/10.1111/J.1365-2486.2008.01679.X, 2009. · DOI
  8. Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rodenbeck, C., Arain, M. A., Baldocchi, D., Bonan, G. B., Bondeau, A., Cescatti, A., Lasslop, G., Lindroth, A., Lomas, M., Luyssaert, S., Margolis, H., Oleson, K. W., Roupsard, O., Veenendaal, E., Viovy, N., Williams, C., Woodward, F. I., and Papale, D.: Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate, Science, 329, 834–838, https://doi.org/10.1126/Science.1184984, 2010. · DOI
  9. Bergeron, Y., Cyr, D., Girardin, M. P., and Carcaillet, C.: Will climate change drive 21st century burn rates in Canadian boreal forest outside of its natural variability: collating global climate model experiments with sedimentary charcoal data, Int. J. Wildland Fire, 19, 1127–1139, https://doi.org/10.1071/Wf09092, 2010. · DOI
  10. Bond-Lamberty, B., Peckham, S. D., Ahl, D. E., and Gower, S. T.: Fire as the dominant driver of central Canadian boreal forest carbon balance, Nature, 450, 89–92, https://doi.org/10.1038/Nature06272, 2007. · DOI
  11. Chen, L., Huang, J.-G., Alam, S. A., Zhai, L., Dawson, A., Stadt, K. J., and Comeau, P. G.: Drought causes reduced growth of trembling aspen in western Canada, Glob. Change Biol., 23, 2887–2902, https://doi.org/10.1111/gcb.13595, 2017. · DOI
  12. Cirino, G. G., Souza, R. A. F., Adams, D. K., and Artaxo, P.: The effect of atmospheric aerosol particles and clouds on net ecosystem exchange in the Amazon, Atmos. Chem. Phys., 14, 6523–6543, https://doi.org/10.5194/acp-14-6523-2014, 2014. · DOI
  13. Cohan, D. S., Xu, J., Greenwald, R., Bergin, M. H., and Chameides, W. L.: Impact of atmospheric aerosol light scattering and absorption on terrestrial net primary productivity, Global Biogeochem. Cy., 16, 1090, https://doi.org/10.1029/2001gb001441, 2002. · DOI
  14. Collins, M., Knutti, R., Arblaster, J., Dufresne, J.-L., Fichefet, T., Friedlingstein, P., Gao, X., Jr., W. J. G., Johns, T., Krinner, G., Shongwe, M., Tebaldi, C., Weaver, A. J., and Wehner, M.: Long-term Climate Change: Projections, Commitments and Irreversibility, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1029-1136, 2013. · DOI
  15. Cook, B. I., Miller, R. L., and Seager, R.: Amplification of the North American "Dust Bowl" drought through human-induced land degradation, P. Natl. Acad. Sci. USA, 106, 4997–5001, https://doi.org/10.1073/pnas.0810200106, 2009. · DOI
  16. de Groot, W. J., Flannigan, M. D., and Cantin, A. S.: Climate change impacts on future boreal fire regimes, Forest Ecol. Manag., 294, 35–44, https://doi.org/10.1016/j.foreco.2012.09.027, 2013. · DOI
  17. Deng, F., Jones, D. B. A., Henze, D. K., Bousserez, N., Bowman, K. W., Fisher, J. B., Nassar, R., O'Dell, C., Wunch, D., Wennberg, P. O., Kort, E. A., Wofsy, S. C., Blumenstock, T., Deutscher, N. M., Griffith, D. W. T., Hase, F., Heikkinen, P., Sherlock, V., Strong, K., Sussmann, R., and Warneke, T.: Inferring regional sources and sinks of atmospheric CO2 from GOSAT XCO2 data, Atmos. Chem. Phys., 14, 3703–3727, https://doi.org/10.5194/acp-14-3703-2014, 2014. · DOI
  18. Doerr, S. H. and Santin, C.: Global trends in wildfire and its impacts: perceptions versus realities in a changing world, Philos. T. Roy. Soc. B, 371, https://doi.org/10.1098/rstb.2015.0345, 2016. · DOI
  19. Duffy, P. A., Walsh, J. E., Graham, J. M., Mann, D. H., and Rupp, T. S.: Impacts of large-scale atmospheric-ocean variability on Alaskan fire season severity, Ecol. Appl., 15, 1317–1330, https://doi.org/10.1890/04-0739, 2005. · DOI
  20. Farquhar, G. D., Caemmerer, S. V., and Berry, J. A.: A Biochemical-Model of Photosynthetic CO2 Assimilation in Leaves of C3 Species, Planta, 149, 78–90, https://doi.org/10.1007/Bf00386231, 1980. · DOI · Paper page
  21. Feingold, G., Jiang, H., and Harrington, J. Y.: On smoke suppression of clouds in Amazonia, Geophys. Res. Lett., 32, L02804, https://doi.org/10.1029/2004GL021369, 2005. · DOI
  22. Flannigan, M. D., Logan, K. A., Amiro, B. D., Skinner, W. R., and Stocks, B. J.: Future area burned in Canada, Climatic Change, 72, 1–16, https://doi.org/10.1007/S10584-005-5935-Y, 2005. · DOI
  23. Flannigan, M. D., Wotton, B. M., Marshall, G. A., Groot, W. J. d., Johnston, J., Jurko, N., and Cantin, A. S.: Fuel moisture sensitivity to temperature and precipitation: climate change implications, Climatic Change, 134, 59, https://doi.org/10.1007/s10584-015-1521-0, 2016. · DOI · Paper page
  24. Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins, W., Cox, P., Driouech, F., Emori, S., Eyring, V., Forest, C., Gleckler, P., Guilyardi, E., Jakob, C., Kattsov, V., Reason, C., and Rummukainen, M.: Evaluation of Climate Models, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 465–570, 2013.
  25. Friend, A. D., Lucht, W., Rademacher, T. T., Keribin, R., Betts, R., Cadule, P., Ciais, P., Clark, D. B., Dankers, R., Falloon, P. D., Ito, A., Kahana, R., Kleidon, A., Lomas, M. R., Nishina, K., Ostberg, S., Pavlick, R., Peylin, P., Schaphoff, S., Vuichard, N., Warszawski, L., Wiltshire, A., and Woodward, F. I.: Carbon residence time dominates uncertainty in terrestrial vegetation responses to future climate and atmospheric CO2, P. Natl. Acad. Sci. USA, 111, 3280–3285, https://doi.org/10.1073/pnas.1222477110, 2014. · DOI
  26. Gillett, N. P., Weaver, A. J., Zwiers, F. W., and Flannigan, M. D.: Detecting the effect of climate change on Canadian forest fires, Geophys. Res. Lett., 31, L18211, https://doi.org/10.1029/2004gl020876, 2004. · DOI
  27. Girardin, M. P. and Mudelsee, M.: Past and future changes in Canadian boreal wildfire activity, Ecol. Appl., 18, 391–406, https://doi.org/10.1890/07-0747.1, 2008. · DOI
  28. Girardin, M. P., Hogg, E. H., Bernier, P. Y., Kurz, W. A., Guo, X. J., and Cyr, G.: Negative impacts of high temperatures on growth of black spruce forests intensify with the anticipated climate warming, Glob. Change Biol., 22, 627–643, https://doi.org/10.1111/gcb.13072, 2016. · DOI
  29. Gurney, K. R., Law, R. M., Denning, A. S., Rayner, P. J., Baker, D., Bousquet, P., Bruhwiler, L., Chen, Y. H., Ciais, P., Fan, S., Fung, I. Y., Gloor, M., Heimann, M., Higuchi, K., John, J., Maki, T., Maksyutov, S., Masarie, K., Peylin, P., Prather, M., Pak, B. C., Randerson, J., Sarmiento, J., Taguchi, S., Takahashi, T., and Yuen, C. W.: Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models, Nature, 415, 626–630, https://doi.org/10.1038/415626a, 2002. · DOI
  30. Hansen, M. C., DeFries, R. S., Townshend, J. R. G., Carroll, M., Dimiceli, C., and Sohlberg, R. A.: Global Percent Tree Cover at a Spatial Resolution of 500 Meters: First Results of the MODIS Vegetation Continuous Fields Algorithm, Earth Interact., 7, 1–15, https://doi.org/10.1175/1087-3562(2003)007<0001:GPTCAA>2.0.CO;2, 2003. · DOI
  31. Heyder, U., Schaphoff, S., Gerten, D., and Lucht, W.: Risk of severe climate change impact on the terrestrial biosphere, Environ. Res. Lett., 6, 034036, https://doi.org/10.1088/1748-9326/6/3/034036, 2011. · DOI
  32. Jacobson, A. R., Fletcher, S. E. M., Gruber, N., Sarmiento, J. L., and Gloor, M.: A joint atmosphere-ocean inversion for surface fluxes of carbon dioxide: 2. Regional results, Global Biogeochem. Cy., 21, GB1020, https://doi.org/10.1029/2006gb002703, 2007. · DOI
  33. Jung, M., Reichstein, M., and Bondeau, A.: Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model, Biogeosciences, 6, 2001–2013, https://doi.org/10.5194/bg-6-2001-2009, 2009. · DOI
  34. Kanniah, K. D., Beringer, J., North, P., and Hutley, L.: Control of atmospheric particles on diffuse radiation and terrestrial plant productivity: A review, Prog. Phys. Geog., 36, 209–237, https://doi.org/10.1177/0309133311434244, 2012. · DOI
  35. Kasischke, E. S. and Turetsky, M. R.: Recent changes in the fire regime across the North American boreal region – Spatial and temporal patterns of burning across Canada and Alaska, Geophys. Res. Lett., 33, L09703, https://doi.org/10.1029/2006gl025677, 2006. · DOI
  36. Keane, R. E., Agee, J. K., Fule, P., Keeley, J. E., Key, C., Kitchen, S. G., Miller, R., and Schulte, L. A.: Ecological effects of large fires on US landscapes: benefit or catastrophe?, Int. J. Wildland Fire, 17, 696–712, https://doi.org/10.1071/Wf07148, 2008. · DOI
  37. Kim, J. B., Monier, E., Sohngen, B., Pitts, G. S., Drapek, R., McFarland, J., Ohrel, S., and Cole, J.: Assessing climate change impacts, benefits of mitigation, and uncertainties on major global forest regions under multiple socioeconomic and emissions scenarios, Environ. Res. Lett., 12, 045001, https://doi.org/10.1088/1748-9326/aa63fc, 2017. · DOI
  38. Kirtman, B. P., Min, D., Infanti, J. M., Kinter, J. L., III, Paolino, D. A., Zhang, Q., van den Dool, H., Saha, S., Mendez, M. P., Becker, E., Peng, P., Tripp, P., Huang, J., DeWitt, D. G., Tippett, M. K., Barnston, A. G., Li, S., Rosati, A., Schubert, S. D., Rienecker, M., Suarez, M., Li, Z. E., Marshak, J., Lim, Y.-K., Tribbia, J., Pegion, K., Merryfield, W. J., Denis, B., and Wood, E. F.: The North American Multimodel Ensemble: Phase-1 Seasonal-to-Interannual Prediction; Phase-2 toward Developing Intraseasonal Prediction, B. Am. Meteorol. Soc., 95, 585–601, 2014. · DOI
  39. Kurz, W. A., Dymond, C. C., Stinson, G., Rampley, G. J., Neilson, E. T., Carroll, A. L., Ebata, T., and Safranyik, L.: Mountain pine beetle and forest carbon feedback to climate change, Nature, 452, 987–990, https://doi.org/10.1038/nature06777, 2008. · DOI
  40. Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F., and Hsu, N. C.: The Collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech., 6, 2989–3034, https://doi.org/10.5194/amt-6-2989-2013, 2013. · DOI
  41. Liu, H. Q., Pinker, R. T., and Holben, B. N.: A global view of aerosols from merged transport models, satellite, and ground observations, J. Geophys. Res., 110, D10S15, https://doi.org/10.1029/2004JD004695, 2005. · DOI
  42. Liu, J. C., Wilson, A., Mickley, L. J., Ebisu, K., Wang, Y., Sulprizio, M. P., Peng, R. D., Yue, X., Son, J.-Y., Anderson, G. B., Dominici, F., and Bell, M. L.: Wildfire-specific Fine Particulate Matter and Risk of Hospital Admissions in Urban and Rural Counties, Epidemiology, 28, 77–85, https://doi.org/10.1097/EDE.0000000000000556, 2017. · DOI · Paper page
  43. Liu, Y.: Enhancement of the 1988 northern U.S. drought due to wildfires, Geophys. Res. Lett., 32, L10806, https://doi.org/10.1029/2005GL022411, 2005. · DOI
  44. Liu, Y., Goodrick, S., and Heilman, W.: Wildland fire emissions, carbon, and climate: Wildfire–climate interactions, Forest Ecol. Manag., 317, 80–96, https://doi.org/10.1016/j.foreco.2013.02.020, 2014. · DOI
  45. Ma, Z. H., Peng, C. H., Zhu, Q. A., Chen, H., Yu, G. R., Li, W. Z., Zhou, X. L., Wang, W. F., and Zhang, W. H.: Regional drought-induced reduction in the biomass carbon sink of Canada's boreal forests, P. Natl. Acad. Sci. USA, 109, 2423–2427, https://doi.org/10.1073/pnas.1111576109, 2012. · DOI
  46. McKenzie, D., Raymond, C. L., Kellogg, L. K. B., Norheim, R. A., Andreu, A. G., Bayard, A. C., Kopper, K. E., and Elman, E.: Mapping fuels at multiple scales: landscape application of the Fuel Characteristic Classification System, Can. J. Forest Res., 37, 2421–2437, https://doi.org/10.1139/X07-056, 2007. · DOI
  47. Meehl, G. A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J. F. B., Stouffer, R. J., and Taylor, K. E.: The WCRP CMIP3 multi-model dataset: A new era in climate change research, B. Am. Meteorol. Soc., 88, 1383–1394, https://doi.org/10.1175/BAMS-88-9-1383, 2007. · DOI
  48. Mercado, L. M., Bellouin, N., Sitch, S., Boucher, O., Huntingford, C., Wild, M., and Cox, P. M.: Impact of changes in diffuse radiation on the global land carbon sink, Nature, 458, 1014–1017, https://doi.org/10.1038/nature07949, 2009. · DOI
  49. Moritz, M. A., Parisien, M.-A., Batllori, E., Krawchuk, M. A., Dorn, J. V., Ganz, D. J., and Hayhoe, K.: Climate change and disruptions to global fire activity, Ecosphere, 3, 49, https://doi.org/10.1890/ES11-00345.1, 2012. · DOI · Paper page
  50. Morris, G. A., Hersey, S., Thompson, A. M., Pawson, S., Nielsen, J. E., Colarco, P. R., McMillan, W. W., Stohl, A., Turquety, S., Warner, J., Johnson, B. J., Kucsera, T. L., Larko, D. E., Oltmans, S. J., and Witte, J. C.: Alaskan and Canadian forest fires exacerbate ozone pollution over Houston, Texas, on 19 and 20 July 2004, J. Geophys. Res., 111, D24S03, https://doi.org/10.1029/2006jd007090, 2006. · DOI
  51. Munchak, L. A., Levy, R. C., Mattoo, S., Remer, L. A., Holben, B. N., Schafer, J. S., Hostetler, C. A., and Ferrare, R. A.: MODIS 3 km aerosol product: applications over land in an urban/suburban region, Atmos. Meas. Tech., 6, 1747–1759, https://doi.org/10.5194/amt-6-1747-2013, 2013. · DOI
  52. Nitschke, C. R. and Innes, J. L.: Climatic change and fire potential in South-Central British Columbia, Canada, Glob. Change Biol., 14, 841–855, https://doi.org/10.1111/j.1365-2486.2007.01517.x, 2008. · DOI
  53. Niyogi, D., Chang, H.-I., Saxena, V. K., Holt, T., Alapaty, K., Booker, F., Chen, F., Davis, K. J., Holben, B., Matsui, T., Meyers, T., Oechel, W. C., Sr., R. A. P., Wells, R., Wilson, K., and Xue, Y.: Direct observations of the effects of aerosol loading on net ecosystem CO2 exchanges over different landscapes, Geophys. Res. Lett., 31, L20506, https://doi.org/10.1029/2004GL020915, 2004. · DOI
  54. Oliveira, P. H. F., Artaxo, P., Pires, C., de Lucca, S., Procópio, A., Holben, B., Schafer, J., Cardoso, L. F., Wofsy, S. C., and Rocha, H. R.: The effects of biomass burning aerosols and clouds on the CO2 flux in Amazonia, Tellus B, 59, 338–349, https://doi.org/10.1111/j.1600-0889.2007.00270.x, 2007. · DOI
  55. Pacifico, F., Folberth, G. A., Sitch, S., Haywood, J. M., Rizzo, L. V., Malavelle, F. F., and Artaxo, P.: Biomass burning related ozone damage on vegetation over the Amazon forest: a model sensitivity study, Atmos. Chem. Phys., 15, 2791–2804, https://doi.org/10.5194/acp-15-2791-2015, 2015. · DOI
  56. Randerson, J. T., Liu, H., Flanner, M. G., Chambers, S. D., Jin, Y., Hess, P. G., Pfister, G., Mack, M. C., Treseder, K. K., Welp, L. R., Chapin, F. S., Harden, J. W., Goulden, M. L., Lyons, E., Neff, J. C., Schuur, E. A. G., and Zender, C. S.: The impact of boreal forest fire on climate warming, Science, 314, 1130–1132, https://doi.org/10.1126/Science.1132075, 2006. · DOI · Paper page
  57. Rap, A., Spracklen, D. V., Mercado, L., Reddington, C. L., Haywood, J. M., Ellis, R. J., Phillips, O. L., Artaxo, P., Bonal, D., Coupe, N. R., and Butt, N.: Fires increase Amazon forest productivity through increases in diffuse radiation, Geophys. Res. Lett., 42, 4654–4662, https://doi.org/10.1002/2015gl063719, 2015. · DOI · Paper page
  58. Remer, L. A., Mattoo, S., Levy, R. C., and Munchak, L. A.: MODIS 3 km aerosol product: algorithm and global perspective, Atmos. Meas. Tech., 6, 1829–1844, https://doi.org/10.5194/amt-6-1829-2013, 2013. · DOI
  59. Rödenbeck, C., Houweling, S., Gloor, M., and Heimann, M.: CO2 flux history 1982–2001 inferred from atmospheric data using a global inversion of atmospheric transport, Atmos. Chem. Phys., 3, 1919–1964, https://doi.org/10.5194/acp-3-1919-2003, 2003. · DOI
  60. Schaefer, K., Collatz, G. J., Tans, P., Denning, A. S., Baker, I., Berry, J., Prihodko, L., Suits, N., and Philpott, A.: Combined Simple Biosphere/Carnegie-Ames-Stanford Approach terrestrial carbon cycle model, J. Geophys. Res., 113, G03034, https://doi.org/10.1029/2007jg000603, 2008. · DOI
  61. Schmidt, G. A., Kelley, M., Nazarenko, L., Ruedy, R., Russell, G. L., Aleinov, I., Bauer, M., Bauer, S. E., Bhat, M. K., Bleck, R., Canuto, V., Chen, Y. H., Cheng, Y., Clune, T. L., Del Genio, A., de Fainchtein, R., Faluvegi, G., Hansen, J. E., Healy, R. J., Kiang, N. Y., Koch, D., Lacis, A. A., LeGrande, A. N., Lerner, J., Lo, K. K., Matthews, E. E., Menon, S., Miller, R. L., Oinas, V., Oloso, A. O., Perlwitz, J. P., Puma, M. J., Putman, W. M., Rind, D., Romanou, A., Sato, M., Shindell, D. T., Sun, S., Syed, R. A., Tausnev, N., Tsigaridis, K., Unger, N., Voulgarakis, A., Yao, M. S., and Zhang, J. L.: Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, Journal of Advances in Modeling Earth Systems, 6, 141–184, https://doi.org/10.1002/2013ms000265, 2014. · DOI
  62. Shindell, D. T., Lamarque, J.-F., Schulz, M., Flanner, M., Jiao, C., Chin, M., Young, P. J., Lee, Y. H., Rotstayn, L., Mahowald, N., Milly, G., Faluvegi, G., Balkanski, Y., Collins, W. J., Conley, A. J., Dalsoren, S., Easter, R., Ghan, S., Horowitz, L., Liu, X., Myhre, G., Nagashima, T., Naik, V., Rumbold, S. T., Skeie, R., Sudo, K., Szopa, S., Takemura, T., Voulgarakis, A., Yoon, J.-H., and Lo, F.: Radiative forcing in the ACCMIP historical and future climate simulations, Atmos. Chem. Phys., 13, 2939–2974, https://doi.org/10.5194/acp-13-2939-2013, 2013a. · DOI
  63. Shindell, D. T., Pechony, O., Voulgarakis, A., Faluvegi, G. , Nazarenko, L., Lamarque, J.-F., Bowman, K., Milly, G., Kovari, B., Ruedy, R., and Schmidt, G. A.: Interactive ozone and methane chemistry in GISS-E2 historical and future climate simulations, Atmos. Chem. Phys., 13, 2653–2689, https://doi.org/10.5194/acp-13-2653-2013, 2013b. · DOI
  64. Sitch, S., Cox, P. M., Collins, W. J., and Huntingford, C.: Indirect radiative forcing of climate change through ozone effects on the land-carbon sink, Nature, 448, 791–794, https://doi.org/10.1038/Nature06059, 2007. · DOI · Paper page
  65. Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L.: Climate Change 2007: Working Group I: The Physical Science Basis, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2007.
  66. Spitters, C. J. T.: Separating the Diffuse and Direct Component of Global Radiation and Its Implications for Modeling Canopy Photosynthesis. 2. Calculation of Canopy Photosynthesis, Agr. Forest Meteorol., 38, 231–242, https://doi.org/10.1016/0168-1923(86)90061-4, 1986. · DOI
  67. Stocks, B. J., Mason, J. A., Todd, J. B., Bosch, E. M., Wotton, B. M., Amiro, B. D., Flannigan, M. D., Hirsch, K. G., Logan, K. A., Martell, D. L., and Skinner, W. R.: Large forest fires in Canada, 1959–1997, J. Geophys. Res., 108, 8149, https://doi.org/10.1029/2001jd000484, 2002. · DOI
  68. Strada, S., Unger, N., and Yue, X.: Observed aerosol-induced radiative effect on plant productivity in the eastern United States, Atmos. Environ., 122, 463–476, https://doi.org/10.1016/j.atmosenv.2015.09.051, 2015. · DOI
  69. Tosca, M. G., Randerson, J. T., Zender, C. S., Flanner, M. G., and Rasch, P. J.: Do biomass burning aerosols intensify drought in equatorial Asia during El Niño?, Atmos. Chem. Phys., 10, 3515–3528, https://doi.org/10.5194/acp-10-3515-2010, 2010. · DOI
  70. Turetsky, M. R., Kane, E. S., Harden, J. W., Ottmar, R. D., Manies, K. L., Hoy, E., and Kasischke, E. S.: Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands, Nat. Geosci., 4, 27–31, https://doi.org/10.1038/Ngeo1027, 2011. · DOI
  71. Tymstra, C., Flannigan, M. D., Armitage, O. B., and Logan, K.: Impact of climate change on area burned in Alberta's boreal forest, Int. J. Wildland Fire, 16, 153–160, https://doi.org/10.1071/Wf06084, 2007. · DOI
  72. Unger, N., Harper, K., Zheng, Y., Kiang, N. Y., Aleinov, I., Arneth, A., Schurgers, G., Amelynck, C., Goldstein, A., Guenther, A., Heinesch, B., Hewitt, C. N., Karl, T., Laffineur, Q., Langford, B., A. McKinney, K., Misztal, P., Potosnak, M., Rinne, J., Pressley, S., Schoon, N., and Serça, D.: Photosynthesis-dependent isoprene emission from leaf to planet in a global carbon-chemistry-climate model, Atmos. Chem. Phys., 13, 10243–10269, https://doi.org/10.5194/acp-13-10243-2013, 2013. · DOI
  73. Vachon, F., Royer, A., Aube, M., Toubbe, B., O'Neill, N. T., and Teillet, P. M.: Remote sensing of aerosols over North American land surfaces from POLDER and MODIS measurements, Atmos. Environ., 38, 3501–3515, https://doi.org/10.1016/j.atmosenv.2004.01.046, 2004. · DOI
  74. Val Martin, M., Kahn, R. A., Logan, J. A., Paugam, R., Wooster, M., and Ichoku, C.: Space-based observational constraints for 1-D plume rise models, J. Geophys. Res., 117, D22204, https://doi.org/10.1029/2012JD018370, 2012. · DOI
  75. van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen, T. T.: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10, 11707–11735,https://doi.org/10.5194/acp-10-11707-2010, 2010. · DOI
  76. van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J. F., Masui, T., Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The representative concentration pathways: an overview, Climatic Change, 109, 5–31, https://doi.org/10.1007/s10584-011-0148-z, 2011. · DOI · Paper page
  77. Wang, X., Thompson, D. K., Marshall, G. A., Tymstra, C., Carr, R., and Flannigan, M. D.: Increasing frequency of extreme fire weather in Canada with climate change, Climatic Change, 130, 573–586, https://doi.org/10.1007/s10584-015-1375-5, 2015. · DOI
  78. Wang, X. L., Parisien, M. A., Taylor, S. W., Perrakis, D. D. B., Little, J., and Flannigan, M. D.: Future burn probability in south-central British Columbia, Int. J. Wildland Fire, 25, 200–212, https://doi.org/10.1071/Wf15091, 2016. · DOI
  79. Wild, M., Folini, D., Schar, C., Loeb, N., Dutton, E. G., and Konig-Langlo, G.: The global energy balance from a surface perspective, Clim. Dynam., 40, 3107–3134, https://doi.org/10.1007/s00382-012-1569-8, 2013. · DOI
  80. Wittig, V. E., Ainsworth, E. A., and Long, S. P.: To what extent do current and projected increases in surface ozone affect photosynthesis and stomatal conductance of trees? A meta-analytic review of the last 3 decades of experiments, Plant Cell Environ., 30, 1150–1162, https://doi.org/10.1111/J.1365-3040.2007.01717.X, 2007. · DOI
  81. Wotawa, G. and Trainer, M.: The influence of Canadian forest fires on pollutant concentrations in the United States, Science, 288, 324–328, 2000. · DOI · Paper page
  82. Wotton, B. M., Nock, C. A., and Flannigan, M. D.: Forest fire occurrence and climate change in Canada, Int. J. Wildland Fire, 19, 253–271, https://doi.org/10.1071/Wf09002, 2010. · DOI · Paper page
  83. Yue, X. and Unger, N.: Ozone vegetation damage effects on gross primary productivity in the United States, Atmos. Chem. Phys., 14, 9137–9153, https://doi.org/10.5194/acp-14-9137-2014, 2014. · DOI
  84. Yue, X. and Unger, N.: The Yale Interactive terrestrial Biosphere model version 1.0: description, evaluation and implementation into NASA GISS ModelE2, Geosci. Model Dev., 8, 2399–2417, https://doi.org/10.5194/gmd-8-2399-2015, 2015. · DOI
  85. Yue, X., Mickley, L. J., Logan, J. A., and Kaplan, J. O.: Ensemble projections of wildfire activity and carbonaceous aerosol concentrations over the western United States in the mid-21st century, Atmos. Environ., 77, 767–780, https://doi.org/10.1016/J.Atmosenv.2013.06.003, 2013. · DOI
  86. Yue, X., Mickley, L. J., Logan, J. A., Hudman, R. C., Martin, M. V., and Yantosca, R. M.: Impact of 2050 climate change on North American wildfire: consequences for ozone air quality, Atmos. Chem. Phys., 15, 10033–10055, https://doi.org/10.5194/acp-15-10033-2015, 2015. · DOI
  87. Yue, X., Keenan, T. F., Munger, W., and Unger, N.: Limited effect of ozone reductions on the 20-year photosynthesis trend at Harvard forest, Glob. Change Biol., 22, 3750–3759, https://doi.org/10.1111/gcb.13300, 2016. · DOI
  88. Yue, X., Unger, N., Harper, K., Xia, X., Liao, H., Zhu, T., Xiao, J., Feng, Z., and Li, J.: Ozone and haze pollution weakens net primary productivity in China, Atmos. Chem. Phys., 17, 6073–6089, https://doi.org/10.5194/acp-17-6073-2017, 2017. · DOI
  89. Zhao, Z., Kooperman, G. J., Pritchard, M. S., Russell, L. M., and Somerville, R. C. J.: Investigating impacts of forest fires in Alaska and western Canada on regional weather over the northeastern United States using CAM5 global simulations to constrain transport to a WRF-Chem regional domain, J. Geophys. Res., 119, 7515–7536, https://doi.org/10.1002/2013jd020973, 2014. · DOI
  90. Zu, K., Tao, G., Long, C., Goodman, J., and Valberg, P.: Long-range fine particulate matter from the 2002 Quebec forest fires and daily mortality in Greater Boston and New York City, Air Quality Atmosphere and Health, 9, 213–221, https://doi.org/10.1007/s11869-015-0332-9, 2016. · DOI

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    “Temperature, precipitation, and humidity control variability in fire activity, with increased emissions occurring under drier conditions in the boreal regions in both Siberia (Macias Fauria & Johnson, 2008) and North America (Bartsch et al., 2009).”
    BackgroundInfluential

Metadata

Authors
Yue, X., Strada, S., Unger, N., & Wang, A.
Affiliations
  • Chinese Academy of Sciences (CN)
  • Laboratoire des Sciences du Climat et de l'Environnement (FR)
  • University of Exeter (GB)
Corresponding author
Yue, Xu
Venue
Atmospheric Chemistry and Physics
Published
2017-11-17
Volume
17
Issue
22
Pages
13699-13719
ISSN
  • 1680-7316 (ISSN-L)
  • 1680-7324
OpenAlex
W2770564269
Cited by
31
References
1
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 8 · 2021: 11 · 2020: 2 · 2019: 1 · 2018: 1
FWCI
0.76
Type
journal article
Language
en
Open access
Locations
  • Atmospheric chemistry and physics (publishedVersion, cc-by)
  • HAL (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • University of Exeter
  • National Key Research and Development Program of China (2014CB441202, 2017YFA0603802)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
Keywords
wildfire emissions, tropospheric ozone, wildfire aerosols, net primary productivity, soil moisture, regional drought, climate change projections

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