Biogeosciences www.biogeosciences.net 1726-4170 1726-4189 6 11 2009 10.5194/bg-6-2369-2009 http://www.biogeosciences.net/6/2369/2009/ http://www.biogeosciences.net/6/2369/2009/bg-6-2369-2009.html http://www.biogeosciences.net/6/2369/2009/bg-6-2369-2009.pdf 2369 2381 2009-11-02 Carbon emissions from deforestation in the Brazilian Amazon Region C. Potter chris.potter@nasa.gov S. Klooster V. Genovese NASA Ames Research Center, Moffett Field, CA, USA California State University Monterey Bay, Seaside, CA, USA A simulation model based on satellite observations of monthly vegetation greenness from the Moderate Resolution Imaging Spectroradiometer (MODIS) was used to estimate monthly carbon fluxes in terrestrial ecosystems of Brazilian Amazon and <i>Cerrado</i> regions over the period 2000–2002. The NASA-CASA (Carnegie Ames Stanford Approach) model estimates of annual forest production were used for the first time as the basis to generate a prediction for the standing pool of carbon in above-ground biomass (AGB; g C m^&minus;2) for forested areas of the Brazilian Amazon region. Plot-level measurements of the residence time of carbon in wood in Amazon forest from Malhi et al. (2006) were interpolated by inverse distance weighting algorithms and used with CASA to generate a new regional map of AGB. Data from the Brazilian PRODES (Estimativa do Desflorestamento da Amazônia) project were used to map deforested areas. Results show that net primary production (NPP) sinks for carbon varied between 4.25 Pg C yr^&minus;1 (1 Pg=10¹⁵ g) and 4.34 Pg C for the region and were highest across the eastern and northern Amazon areas, whereas deforestation sources of CO₂ flux from decomposition of residual woody debris were higher and less seasonal in the central Amazon than in the eastern and southern areas. Increased woody debris from past deforestation events was predicted to alter the net ecosystem carbon balance of the Amazon region to generate annual CO₂ source fluxes at least two times higher than previously predicted by CASA modeling studies. Variations in climate, land cover, and forest burning were predicted to release carbon at rates of 0.5 to 1 Pg C yr^&minus;1 from the Brazilian Amazon. When direct deforestation emissions of CO₂ from forest burning of between 0.2 and 0.6 Pg C yr^&minus;1 in the Legal Amazon are overlooked in regional budgets, the year-to-year variations in this net biome flux may appear to be large, whereas our model results implies net biome fluxes had actually been relatively consistent from year to year during the period 2000–2002. This is the first study to use MODIS data to model all carbon pools (wood, leaf, root) dynamically in simulations of Amazon forest deforestation from clearing and burning of all kinds. Achard, F., Eva, H. D., and Mayaux, P. et al.: Improved estimates of net carbon emissions from land cover change in the tropics for the 1990s, Global Biogeochem. Cy., 18, GB2008, doi: 2010.1029/2003GB002142, 2004. Alves, D. S.: Geographical patterns of deforestation in the 1991–1996 period, Proceedings of the 48th Annual Conference of the Center for Latin American Studies. Patterns and Processes of Land Use and Forest Change in the Amazon, University of Florida, Gainesville, March 23–26, 1999. Asner, G. P., Scurlock, J. M., and Hicke, J. A.: Global synthesis of leaf area index observations: Implications for ecological and remote sensing studies, Global Ecol. Biogeogr., 12, 191–205, 2003. Asner, G. P., Knapp, D. E., Broadbent, E. N., Oliveira, P. J. C., Keller, M., and Silva, J .N.: Selective logging in the Brazilian Amazon, Science, 310, 480–482, 2005. Baker, T. R., Phillips, O. L., Malhi,Y., Almeida, S., Arroyo, L., Di Fiore, A., Killeen, T., Laurance, S. G., Laurance, W. F., Lewis, S. L., Monteagudo, S. L. A., Neill, D. A., Patiño, S., Pitman, N. C. A., Silva, N., and Vásquez Martínez, R.: Are Amazonian forest plots increasing in biomass? Philos. T. R. Soc. Lond., 359B, 353–365, 2004a. Baker, T. R., Phillips, O. L., Malhi, Y., Almeida, S., Arroyo, L., Di Fiore, A., Killeen, T., Laurance, S. G., Laurance, W. F., Lewis, S. L., Lloyd, J., Monteagudo, A., Neill, D. A., Patiño, S., Pitman, N. C. A., Silva, N., Vásquez Martínez, R.: Variation in wood density determines spatial patterns in Amazonian forest biomass, Global Change Biol., 10, 545–562, 2004b. Behrenfeld, M. J., Randerson,J. T., McClain, C. R., Feldma, G. C., Los, S. Q., Tucker, C. I., Falkowski, P. G., Field, C. B., Frouin, R., Esaias, W. E., Kolber, D. D., and Pollack, N. H.: Biospheric primary production during an ENSO transition, Science, 291, 2594–2597, 2001. Bohlman, S. A., Adams, J. B., Smith, M. O., and Peterson, D. L.: Seasonal foliage changes in the eastern Amazon basin detected from Landsat Thematic Mapper satellite images, Biotropica, 30, 376–391, 1998. Chambers, J. Q., Higuchi, N., Teixeira, L. M., dos Santos, J., Lurance, S. G., and Trumbore, S. E.: Response of tree biomass and wood litter to disturbance in a Central Amazon forest, Oecologia, 141, 596–614, 2004a. Chambers, J. Q. and Silver, W. L.: Some aspects of ecophysiological and biogeochemical responses of tropical forests to \mboxatmospheric change, Philos. T. R. Soc. Lond., B359, 463–476, doi:10.1098/rstb.2003.1424, 2004b. Chambers, J. Q., Tribuzy, E. S., Toledo, L. C., Crispim, B. F., Higuchi, N., dos Santos, J., Araujo, A. C., Kruijt, B., Nobre, A. D., and Trumbore, S. E., Respiration from a tropical forest ecosystem: Partitioning of sources and low carbon use efficiency, Ecol. Appl., 14, S72–S88, 2004c. DeFries, R. S, Houghton, R. A., and Hansen, M. C. et al.: Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s, P. Natl. Acad. Sci. USA, 99, 14256–14261, 2002. DeFries, R., Hansen, M., and Townshend, J.: Global discrimination of land cover types from metrics derived from AVHRR Pathfinder data, Remote Sens. Environ., 54, 209–222, 1995. Eduardo, L., Aragãoa ,O. C., Shimabukuroa, Y. E., Espírito Santoa ,F. D. B., and Williams, M.: Landscape pattern and spatial variability of leaf area index in eastern Amazonia, Forest Ecol. Manag., 211, 240–256, 2005. Fearnside, P.M.: Global warming and tropical land-use change: greenhouse gas emissions from biomass burning, decomposition and soils in forest conversion, shifting cultivation and secondary vegetation, Climatic Change, 46, 115–158, 2000. Friedl, M. A., McIver, D. K., Hodges, J. C. F., Zhang, X. Y., Muchoney, D., Strahler, A. H., Woodcock, C. E., Gopal, S., Schneider, A., Cooper, A., Baccini, A., Gao, F., and Schaaf, C.: Global land cover mapping from MODIS: algorithms and early results, Remote Sens. Environ., 83, 287–302, 2002. Goetz, S. J. and Prince, S. D.: Variability in light utilization and net primary production in boreal forest stands, Can. J. Forest Res., 28, 375–389, 1998. Graça, P. M. L. A., Fearnside, P. M., and Cerri, C. C.: Burning of Amazonian forest in Ariquemes, Rondônia, Brazil: Biomass, charcoal formation and burning efficiency, Forest Ecol. Manag., 120, 179–191, 1999. Guild, L. S., Kauffman, J. B., Ellingson, L. J., Cummings, D. L., and Castro, E. A.: Dynamics associated with total aboveground biomass, C, nutrient pools, and biomass burning of primary forest and pasture in Rondônia, Brazil, during SCAR-B, J. Geophys. Res., 103, 32091–32100, 1998. Hao, W. M. and Lui, M.-H.: Spatial and temporal distribution of tropical biomass burning, Global Biogeochem. Cy., 8, 495–503, 1994. Hirsch, A. I., Little, W., Houghton, R. A., Scott, N. A., and White, J. D.: The net carbon flux due to deforestation and forest re-growth in the Brazilian Amazon: Analysis using a process-based model, Global Change Biol., 10, 908–924, doi:10.1111/j.1529-8817.2003.00765.x, 2004. Houghton, R. A.: The annual net flux of carbon to the atmosphere from changes in land use 1850–1990, Tellus, 51(B), 298–313, 1999. Houghton, R. A., Skole, D. L., Nobre ,C. A., Hackler, J. L., Lawrence, K. T., and Chomentowski, W. H.: Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon, Nature, 403, 301–304, 2000. Houghton, R. A., Lawrence, K. T., Hackler, J. L., and Brown, S.: The spatial distribution of forest biomass in the Brazilian Amazon: A comparison of estimates, Global Change Biol., 7, 731–746, 2001. Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G.: Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sens. Environ., 83, 195–213, 2002. INPE (Instituto Nacional de Pesquisas Espaciais): PRODES Digital methodology, online available at: http://www.obt.inpe.br/prodesdigital/metodologia.html, 2002. INPE (Instituto Nacional de Pesquisas Espaciais): Deforestation estimates in the Brazilian Amazon, São José dos Campos, online available at: :www.obt.inpe.br/prodes/,2003. Kauffman, J. B., Cummings, D. L., Ward, D. E., and Babbitt, R.: Fire in the Brazilian Amazon: Biomass, nutrient pools, and losses in slashed primary forests, Oecologia, 104, 397–408, 1995. Kistler, R., Kalnay, E., Collins, W., Saha, S., White, G., Woollen, J., Chelliah, M., Ebisuzaki, W., Kanamitsu, M., Kousky, V., van den Dool, H., Jenne, R., and Fiorino, M.: The NCEP-NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation, B. Am. Meteorol. Soc., 82, 247–268, 2001. Laszlo, I., Pinker, R. T., and Whitlock, C. H.: Comparison of shortwave fluxes derived from two versions of the ISCCP products, in: IRS '96, Current Problems in Atmospheric Radiation, edited by: Smith, W., A Deepak Publishing, Hampton, Virginia, USA, 762-0765, 1997. Laszlo, I., Pinker, R. T., and Whitlock. C. H.: LBA-HYD PC-02 Surface/Top of the Atmosphere Shortwave Radiation Budget (SRB): CD-ROM. Data Set., online available at: (http://lba.cptec.inpe.br/) from LBA Data and Information System, National Institute for Space Research (INPE/CPTEC), Cachoeira Paulista, Sao Paulo, Brazil, 2006. Lewis, S. L., Phillips, O. L., Baker, T., Lloyd, J., Malhi, Y., Almeida, S., Higuchi, N., Laurance, W. F., Neill, D., Silva, N., Terborgh, J., Torres Lezama, A., Vásquez, M. R., Brown, S., Chave, J., Kuebler, C., N\'uñez, P., and Vinceti, B.: Concerted changes in tropical forest structure and dynamics: evidence from 50 South American long term plots', Philos. T. R. Soc., Series~B, 359, 421–436, 2004. Malhi Y. , Wood D., and Baker T. R. et al.: The regional variation of aboveground live biomass in old-growth Amazonian forests, Global Change Biol., 12(7), 1107–1138, 2006. Malmström, C. M., Thompson. M. V., Juday, G. P., Los, S. O., Randerson, J. T., and Field, C. B.: Interannual variation in global scale net primary production: testing model estimates, Global Biogeochem. Cy., 11, 367–392, 1997. McGuire, A. D., Sitch, S., and Clein, J. S. et al.: Carbon balance of the terrestrial biosphere in the twentieth century: analyses of CO2, climate and land use effects with four process-based ecosystem models, Global Biogeochem. Cy., 15, 183–206, 2001. McWilliam, A.-L. C., Roberts, J. M., Cabral, O. M. R., Leitao, M. V. B. R., de Costa, A. C. L., Maitelli, G. T., and Zamparoni, C. A. G. P.: Leaf area index and above-ground biomass of terra firme rain forest and adjacent clearings in Amazonia, Funct. Ecol., 7, 310–317, 1993. Monteith, J. L.: Solar radiation and productivity in tropical ecosystems, J. Appl. Ecol., 9, 747–766, 1972. Morton D. C., DeFries, R. S., Shimabukuro, Y. E., Anderson, L. O., Arai, E., del Bon Espirito-Santo, F., Freitas, R., Morisette, J.: Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon, P. Natl. Acad. Sci., 103(39), 14637–14641, 2006. Olson, R. J., Scurlock, J. M. O.: Cramer, W., Parton, W. J., and Prince, S. D.: From Sparse Field Observations to a Consistent Global Dataset on Net Primary Production, IGBP-DIS Working Paper No. 16, IGBP-DIS, Toulouse, France, 1997. Parton, W. J., McKeown, B., Kirchner, V., and Ojima, D.: CENTURY Users Manual, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, 1992. Potter, C. S., Bubier, J., Crill, P., and LaFleur, P.: Ecosystem modeling of methane and carbon dioxide fluxes for boreal forest sites, Can. J. Forest Res., 31, 208–223, 2001. Potter, C. S., Randerson,J. T., Field, C. B., Matson, P. A., Vitousek, P. M., Mooney, H. A., and Klooster, S. A.: Terrestrial ecosystem production: A process model based on global satellite and surface data, Global Biogeochem, Cy., 7, 811–841, 1993. Potter, C. S., Klooster, S. A., and Brooks, V.: Interannual variability in terrestrial net primary production: Exploration of trends and controls on regional to global scales, Ecosystems, 2, 36–48, 1999. Potter, C. S.: Terrestrial biomass and the effects of deforestation on the global carbon cycle, Bioscience, 49, 769–778, 1999. Potter, C. S., Brooks-Genovese, V., Klooster, S. A., and Torregrosa, A.: Biomass burning emissions of reactive gases estimated from satellite data analysis and ecosystem modeling for the Brazilian Amazon region, J. Geophys. Res., 107, D20, doi:10.1029/2000JD000250, 2002. Potter, C., Klooster, S., Myneni, R., Genovese, V., Tan, P., and Kumar, V.: Continental scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982–98, Global Planet. Change, 2003. Potter, C., Tan, P., Kumar, V., Kucharik, C., Klooster, S., Genovese, V., Cohen, W., and Healey, S.: Recent history of large-scale ecosystem disturbances in North America derived from the AVHRR satellite record, Ecosystems, 8(7), 808–827, 2005. Potter, C., Klooster, S., Huete, A., Genovese, V., Bustamante, M., Guimaraes Ferreira, L., Cosme de Oliveira Jr., R., and Zepp,,R.: Terrestrial carbon sinks in the Brazilian Amazon and Cerrado region predicted from MODIS satellite data and ecosystem modeling, Biogeosciences, 6, 1–23, 2009. Priestly, C. H. B., and Taylor, R. J.: On the assessment of surface heat flux and evaporation using large-scale parameters, Mon. Weather Rev. 100, 81–92, 1972. Rahman, A. F., Sims, D. A. , Cordova, V. D., and El-Masri, B. Z.: Potential of MODIS EVI and surface temperature for directly estimating per-pixel ecosystem C fluxes, Geophys. Res. Lett., 32, L19404, doi:10.1029/2005GL024127, 2005. Ramankutty, N., Gibbs, H. K., Achard, F., Defries, R., Foley, J. A., and Houghton, R. A.: Challenges to estimating carbon emissions from tropical deforestation, Global Change Biol., 13, 51–66, 2007. Ratana, P., Huete, A. R., Yuan Y., Jacobson, A.: Interrelationship among among MODIS vegetation products across an Amazon Eco-climatic gradient, Geoscience and Remote Sensing Symposium, IGARSS Proceedings, IEEE International, 4(25–29), 3009–3012, 2005. Running, S. W. and Nemani, R. R.: Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates, Remote Sens. Environ., 24, 347–367, 1998. Saleska, S. R., Miller, S.D., Matross, D.M., Goulden, M. L., Wofsy, S. C., da Rocha, H. R., de Camargo, P. B., Crill, P., Daube, B. C., de Freitas, H. C., Hutyra, L., Keller, M., Kirchhoff, V., Menton, M., Munger, J. W., Pyle, E. H., Rice, A. H., and Silva, H.: Carbon in Amazon forests: Unexpected seasonal fluxes and disturbance-induced losses, Science, 302, 1554–1557, 2003. Sorrensen, C. L.: Linking smallholder land use and fire activity: Examining biomass burning in the Brazilian Lower Amazon, Forest Ecol. Manag., 128, 11–25, 2000. Turner, D. P., Ritts, W. D., Cohen, W. B., Maeirsperger, T. K., Gower, S. T., Kirschbaum, A., Running, S. W., Zhao, M., Wofsy, S. C., Dunn, A. L., Law, B. E., Campbell, J. C., Oechel, W. C., Kwon, H. J., Meyers, T. P., Small, E. E., Kurc, S. A., Gamon, J. A.: Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production \mboxmonitoring. Global Change Biol., 11, 666–684, 2005. Van der Werf, G. R., Randerson, J. T., Collatz, G. J., Giglio, L.: Carbon emissions from fires in tropical and subtropical ecosystems, Global Change Biol., 9(4), 547–562, 2003. Wright, J.: Tropical forests in a changing environment, Trends Ecol. Evol., 20, 553–555, 2005. Xavier, A. C. and Vettorazzi, C. A.: Leaf area index of ground covers in a subtropical watershed, Sci. Agric., (Piracicaba, Braz.), 60, 425–431, 2003. Xiao, X., Boles, S., Liu, J. Y., Zhuang, D.F. et al.: Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data, Remote Sens. Environ., 91, 256–270, 2004. Zeng, N., Yoon, J.-H., Marengo, J. A., Subramaniam, A., Nobre, C. A., Mariotti, A., and Neelin, J. D.: Causes and impacts of the 2005 Amazon drought, Environ. Res. Lett., 3, 014002, 9~pp., doi:10.1088/1748-9326/3/1/014002, 2008. Zhang, Q., Xiao, X., Braswell, B., Linder, E., et al.: Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model, Remote Sens. Environ., 99, 357–371, 2005. Zheng, D., Prince, S., and Wright, R.: Terrestrial net primary production estimates for 0.5&deg; grid cells from field observations – A contribution to global biogeochemical modeling, Global Change Biol., 9, 46–64, 2003.