Amazonian Deforestation: Impact of Global Warming on the Energy Balance and Climate

E. C. Moraes Divisão de Sensoriamento Remoto, São Jose dos Campos, São Paulo, Brazil

Search for other papers by E. C. Moraes in
Current site
Google Scholar
PubMed
Close
,
Sergio H. Franchito Centro de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pesquisas Espaciais, São Jose dos Campos, São Paulo, Brazil

Search for other papers by Sergio H. Franchito in
Current site
Google Scholar
PubMed
Close
, and
V. Brahmananda Rao Centro de Previsão de Tempo e Estudos Climáticos, Instituto Nacional de Pesquisas Espaciais, São Jose dos Campos, São Paulo, Brazil

Search for other papers by V. Brahmananda Rao in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

A coupled biosphere–atmosphere statistical–dynamical model is used to study the relative roles of the impact of the land change caused by tropical deforestation and global warming on energy balance and climate. Three experiments were made: 1) deforestation, 2) deforestation + 2 × CO2, and 3) deforestation + CO2, CH4, N2O, and O3 for 2100. In experiment 1, the climatic impact of the Amazonian deforestation is studied. In experiment 2, the effect of doubling CO2 is included. In experiment 3, the concentrations of the greenhouse gases (GHGs) correspond to the A1FI scenario from the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. The results showed that the percentage of the warming caused by deforestation relative to the warming when the increase in GHG concentrations is included is higher than 60% in the tropical region. On the other hand, with the increase in GHG concentrations, a reduction in the decrease of evapotranspiration and precipitation in the tropical region occurs when compared with the deforestation case. Because of an increase in the net longwave flux at the surface, there is a reduction in the decrease of the surface net radiation flux when compared with the case of only deforestation. This leads to an increase in the surface temperature. Although the changes are higher at 5°S, the percentage of them when the increase in GHG concentrations is included together with deforestation relative to the case of only deforestation is higher at 5°N (higher than 50% for the surface temperature and higher than 90% for the foliage and air foliage temperatures) in both experiments 2 and 3.

Corresponding author address: Sergio Henrique Franchito, Instituto Nacional de Pesquisas Espaciais, Centro de Previsao de Tempo e Estudos Climaticos, Av. dos Astronautas, 1758 Sao Jose dos Campos, SP 12227-010, Brazil. E-mail: sergio.franchito@cptec.inpe.br

Abstract

A coupled biosphere–atmosphere statistical–dynamical model is used to study the relative roles of the impact of the land change caused by tropical deforestation and global warming on energy balance and climate. Three experiments were made: 1) deforestation, 2) deforestation + 2 × CO2, and 3) deforestation + CO2, CH4, N2O, and O3 for 2100. In experiment 1, the climatic impact of the Amazonian deforestation is studied. In experiment 2, the effect of doubling CO2 is included. In experiment 3, the concentrations of the greenhouse gases (GHGs) correspond to the A1FI scenario from the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. The results showed that the percentage of the warming caused by deforestation relative to the warming when the increase in GHG concentrations is included is higher than 60% in the tropical region. On the other hand, with the increase in GHG concentrations, a reduction in the decrease of evapotranspiration and precipitation in the tropical region occurs when compared with the deforestation case. Because of an increase in the net longwave flux at the surface, there is a reduction in the decrease of the surface net radiation flux when compared with the case of only deforestation. This leads to an increase in the surface temperature. Although the changes are higher at 5°S, the percentage of them when the increase in GHG concentrations is included together with deforestation relative to the case of only deforestation is higher at 5°N (higher than 50% for the surface temperature and higher than 90% for the foliage and air foliage temperatures) in both experiments 2 and 3.

Corresponding author address: Sergio Henrique Franchito, Instituto Nacional de Pesquisas Espaciais, Centro de Previsao de Tempo e Estudos Climaticos, Av. dos Astronautas, 1758 Sao Jose dos Campos, SP 12227-010, Brazil. E-mail: sergio.franchito@cptec.inpe.br
Save
  • Betts, R. A., P. M. Cox, M. Collins, P. P. Harris, C. Huntingford, and C. D. Jones, 2004: The role of ecosystem–atmosphere interactions in simulated Amazonian precipitation decrease and forest dieback under global climate warming. Theor. Appl. Climatol., 78, 157175.

    • Search Google Scholar
    • Export Citation
  • Budyko, M. I., 1974: Climate and Life. Academic Press, 508 pp.

  • Chen, T.-C., J.-H. Yoon, K. J. St. Croix, and E. S. Takle, 2001: Suppressing impacts of the Amazonian deforestation by global circulation change. Bull. Amer. Meteor. Soc., 82, 22092216.

    • Search Google Scholar
    • Export Citation
  • Chou, M.-D., and M. J. Suarez, 1994: An efficient thermal infrared radiation parameterization for use in general circulation models. NASA Tech. Memo. 104606, Tech. Rep. Series on Global Modeling and Data Assimilation, Goddard Space Flight Center, Greenbelt, MD, 102 pp.

  • Chou, M.-D., and M. J. Suarez, 1999: A solar radiation parameterization for atmospheric studies. NASA Tech. Memo. NASA/TM-1999-104606, Vol. 15, Tech. Rep. Series on Global Modeling and Data Assimilation, Goddard Space Flight Center, Greenbelt, MD, 38 pp.

  • Cook, K. H., and K. H. Vizy, 2008: Effects of twenty-first-century climate change on the Amazon rain forest. J. Climate, 21, 542560.

  • Costa, M. H., and J. A. Foley, 2000: Combined effects of deforestation and doubled atmospheric CO2 concentration on climate of Amazonia. J. Climate, 13, 1834.

    • Search Google Scholar
    • Export Citation
  • Cox, P. M., R. A. Betts, M. Collins, P. P. Harris, C. Huntingford, and C. D. Jones, 2004: Amazonian forest dieback under climate-carbon cycle projections for the 21st century. Theor. Appl. Climatol., 78, 137156, doi:10.1007/s00704-004-0049-4.

    • Search Google Scholar
    • Export Citation
  • Feddema, J. J., K. W. Oleson, G. B. Bonan, L. O. Mearns, L. E. Buja, G. A. Meehl, and W. M. Washington, 2005: The importance of land-cover change in simulating future climates. Science, 310, 16741678.

    • Search Google Scholar
    • Export Citation
  • Franchito, S. H., and V. B. Rao, 1992: Climatic change due to land surface alterations. Climatic Change, 22, 134.

  • Franchito, S. H., V. B. Rao, and E. C. Moraes, 2011: Impact of global warming on the geobotanic zones: An experiment with a statistical-dynamical climate model. Climate Dyn., 37, 20112034.

    • Search Google Scholar
    • Export Citation
  • Gedney, N., and P. J. Valdes, 2000: The effect of Amazonian deforestation on the Northern Hemisphere circulation and climate. Geophys. Res. Lett., 27, 30533056.

    • Search Google Scholar
    • Export Citation
  • Gutman, G., 1984: Numerical experiments on land surface alterations with a zonal model allowing for interaction between the geobotanic state and climate. J. Atmos. Sci., 41, 26792685.

    • Search Google Scholar
    • Export Citation
  • Houghton, J. T., and Coauthors, 2001: Climate Change 2001: The Scientific Basis. Cambridge University Press, 881 pp.

  • Lawrence, D. M., P. E. Thornton, K. W. Oleson, and G. B. Bonan, 2007: The partitioning of evapotranspiration into transpiration, soil evaporation, and canopy evaporation in a GCM: Impacts on land–atmosphere interaction. J. Hydrometeor., 8, 862880.

    • Search Google Scholar
    • Export Citation
  • Lean, J., and P. R. Rowntree, 1997: Understanding the sensitivity of a GCM simulation of Amazonian deforestation to the specification of vegetation and soil characteristics. J. Climate, 10, 12161235.

    • Search Google Scholar
    • Export Citation
  • Malhi, Y., and Coauthors, 2009: Exploring likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest. Proc. Natl. Acad. Sci. USA, 106, 20 61020 615.

    • Search Google Scholar
    • Export Citation
  • Manzi, A. O., and S. Planton, 1994: Implementation of ISBA parameterization scheme for land surface processes in a GCM—An annual cycle experiment. J. Hydrol., 155, 353387.

    • Search Google Scholar
    • Export Citation
  • Maynard, K., and J.-F. Royer, 2004: Effects of “realistic” land-cover change on a greenhouse-warmed African climate. Climate Dyn., 22, 343358.

    • Search Google Scholar
    • Export Citation
  • McClatchey, R. A., R. W. Fenn, J. E. A. Selby, F. E. Voltz, and J. S. Garing, 1972: Optical properties of the atmosphere. Air Force Cambridge Research Laboratory Tech. Rep. AFCRL-72-0497, Bedford, MA, 108 pp.

  • Medvigy, D., R. L. Walko, and R. Avissar, 2011: Effects of deforestation on spatiotemporal precipitation in South America. J. Climate, 24, 21472163.

    • Search Google Scholar
    • Export Citation
  • Moraes, E. C., S. H. Franchito, and V. B. Rao, 2004: Effects of biomass burning in Amazonia on climate: A numerical experiment with a statistical-dynamical model. J. Geophys. Res., 109, D05109, doi:10.1029/2003JD003800.

    • Search Google Scholar
    • Export Citation
  • Moraes, E. C., S. H. Franchito, and V. B. Rao, 2005: Evaluation of surface air temperature change due to the greenhouse gases increase with a statistical–dynamical model. J. Geophys. Res., 110, D24109, doi:10.1029/2004JD005679.

    • Search Google Scholar
    • Export Citation
  • Nobre, C. A., P. J. Sellers, and J. Shukla, 1991: Amazonian deforestation and regional climate change. J. Climate, 4, 957988.

  • Nobre, P., M. Malagutti, D. F. Urbano, R. A. F. Almeida, and E. Giarolla, 2009: Amazon deforestation and climate change in a coupled model simulation. J. Climate, 22, 56865697.

    • Search Google Scholar
    • Export Citation
  • Salazar, R. F., C. A. Nobre, and M. D. Oyama, 2007: Climate change consequences on the biome distribution in tropical South America. Geophys. Res. Lett., 34, L09708, doi:10.1029/2007GL029695.

    • Search Google Scholar
    • Export Citation
  • Saltzman, B., and A. D. Vernekar, 1971: An equilibrium solution for the axially-symmetric components of the Earth’s macroclimate. J. Geophys. Res., 76, 14981524.

    • Search Google Scholar
    • Export Citation
  • Sampaio, G., C. Nobre, M. H. Costa, P. Satyamurty, and B. S. Soares-Filho, 2007: Regional climate change over eastern Amazonia caused by pasture and soybean cropland expansion. Geophys. Res. Lett., 34, L17709, doi:10.1029/2007GL030612.

    • Search Google Scholar
    • Export Citation
  • Scholze, M., W. Knorr, N. W. Arnell, and I. C. Prentice, 2006: A climate change risk analysis for world ecosystems. Proc. Natl. Acad. Sci. USA, 103, 13 11613 120.

    • Search Google Scholar
    • Export Citation
  • Silva, M. E. S., S. H. Franchito, and V. B. Rao, 2006: Effects of the Amazonian deforestation on regional climate: A numerical experiment with a coupled biosphere–atmosphere model with soil hydrology. Theor. Appl. Climatol., 85, 118.

    • Search Google Scholar
    • Export Citation
  • Sud, Y. C., P. J. Sellers, Y. Mintz, M.-D. Chou, G. K. Walker, and W. E. Smith, 1990: Influence of the biosphere on the global circulation and hydrological cycle—A GCM simulation experiment. Agric. For. Meteor., 52, 133180.

    • Search Google Scholar
    • Export Citation
  • Varejão-Silva, M. A., S. H. Franchito, and V. B. Rao, 1998: A coupled biosphere–atmosphere climate model suitable for use in climatic studies due to land surface alterations. J. Climate, 11, 17491767.

    • Search Google Scholar
    • Export Citation
  • Voldoire, A., 2006: Quantifying the impact of future land-use changes against increases in GHG concentrations. Geophys. Res. Lett., 33, L04701, doi:10.1029/2005GL024354.

    • Search Google Scholar
    • Export Citation
  • Walko, R. L., and Coauthors, 2000: Coupled atmosphere–biophysics–hydrology models for envirnmental modeling. J. Appl. Meteor., 39, 931944.

    • Search Google Scholar
    • Export Citation
  • Zhang, T., 1994: Sensitivity properties of a biosphere model based on BATS and a statistical–dynamical climate model. J. Climate, 7, 891913.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1858 566 157
PDF Downloads 1456 475 132