Historic emissions from deforestation and forest degradation in Mato Grosso, Brazil: 1) source data uncertainties

Carbon Balance and Management

Bronson Griscom³  Carlos M Souza¹  Marcio H Sales¹  Douglas C Morton² 

[1] Instituto do Homem e Meio Ambiente da Amazônia (Imazon), Belém, PA, Brazil;NASA Goddard Space Flight Center, Greenbelt MD USA;The Nature Conservancy, Arlington, VA USA

关键词: Landsat;    Approach;    Tier;    IPCC;    REDD+;    Amazon;   

Others  :  792483
DOI  :  10.1186/1750-0680-6-18

 received in 2011-07-25, accepted in 2011-12-30,  发布年份 2011

【 摘 要 】

Background

Historic carbon emissions are an important foundation for proposed efforts to Reduce Emissions from Deforestation and forest Degradation and enhance forest carbon stocks through conservation and sustainable forest management (REDD+). The level of uncertainty in historic carbon emissions estimates is also critical for REDD+, since high uncertainties could limit climate benefits from credited mitigation actions. Here, we analyzed source data uncertainties based on the range of available deforestation, forest degradation, and forest carbon stock estimates for the Brazilian state of Mato Grosso during 1990-2008.

Results

Deforestation estimates showed good agreement for multi-year periods of increasing and decreasing deforestation during the study period. However, annual deforestation rates differed by > 20% in more than half of the years between 1997-2008, even for products based on similar input data. Tier 2 estimates of average forest carbon stocks varied between 99-192 Mg C ha^-1, with greatest differences in northwest Mato Grosso. Carbon stocks in deforested areas increased over the study period, yet this increasing trend in deforested biomass was smaller than the difference among carbon stock datasets for these areas.

Conclusions

Estimates of source data uncertainties are essential for REDD+. Patterns of spatial and temporal disagreement among available data products provide a roadmap for future efforts to reduce source data uncertainties for estimates of historic forest carbon emissions. Specifically, regions with large discrepancies in available estimates of both deforestation and forest carbon stocks are priority areas for evaluating and improving existing estimates. Full carbon accounting for REDD+ will also require filling data gaps, including forest degradation and secondary forest, with annual data on all forest transitions.

【 授权许可】

   
2011 Morton et al; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]van der Werf GR, Morton DC, DeFries RS, Oliver JGJ, Kasibhatla P, Jackson RB, Collatz GJ, Randerson JT: C02 emissions from deforestation. Nature Geoscience 2009, 2:737-738.
• [2]Houghton RA: Carbon Flux to the Atmosphere from Land-Use Changes: 1850-2005. In TRENDS: A Compendium of Data on Global Change. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tenn., U.S.A; 2008.
• [3]Achard F, Eva HD, Mayaux P, Stibig H-J, Belward A: Improved estimates of net carbon emissions from land cover change in the tropics for the 1990s. Global Biogeochemical Cycles 2004., 18doi:10.1029/2003GB002142
• [4]Asner GP, Knapp DE, Broadbent EN, Oliveira PJC, Keller M, Silva JN: Selective logging in the Brazilian Amazon. Science 2005, 310:480-482.
• [5]Putz FE, Zuidema PA, Pinard MA, Boot RGA, Sayer JA, Sheil D, Sist P, Elias JKV: Improved tropical forest management for carbon retention. PLOS Biology 2008, 6:1368-1369.
• [6]Geist HJ, Lambin EF: Proximate causes and underlying driving forces of tropical deforestation. Bioscience 2002, 52:143-150.
• [7]UNFCCC: Draft conclusions for Agenda Item 6: Reducing Emissions From Deforestation in Developing Countries UNFCCC/COP-11 Draft Decision. 2005. Available at: http://unfccc.int/resource/docs/2005/cop11/eng/l02.pdf webcite
• [8]UNFCCC: Outcome of the work of the Ad Hoc Working Group on long-term Cooperative Action under the Convention, UNFCCC-COP16 Draft Decision CP.16. 2010. available at: http://unfccc.int/files/meetings/cop_16/application/pdf/cop16_lca.pdf webcite
• [9]Griscom B, Shoch D, Stanley B, Cortez R, Virgilio N: Sensitivity of amounts and distribution of tropical forest carbon credits depending on baseline rules. Environmental Science & Policy 2009, 12:897-911.
• [10]GCP: The Little REDD Book: A guide to governmental and non-governmental proposals for reducing emissions from deforestation and degradation. Oxford: Global Canopy Programme; 2008.
• [11]DeFries RS, Houghton RA, Hansen MC, Field CB, Skole DL, Townshend J: Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proceedings of the National Academy of Sciences 2002, 99:14256-14261.
• [12]Le Quere C, Raupach MR, Canadell JG, Marland G, Bopp L, Ciais P, Conway TJ, Doney SC, Feely R, Foster P, Friedlingstein P, Gurney K, Houghtoh RA, House JI, Huntingford C, Levy P, Lomas MR, Majkut J, Metzl N, Ometto JP, Peters GP, Prentice IC, Randerson JT, Running SW, Sarmiento JL, Schuster U, Sitch S, Takahashi T, Viovy N, van der Werf GR, et al.: Trends in the sources and sinks of carbon dioxide. Nature Geoscience 2009. doi:10.1038/NGEO1689
• [13]van der Werf GR, Randerson JT, Giglio L, Collatz GJ, Mu M, Kasibhatla PS, Morton DC, DeFries RS, Jin Y, van Leeuwen TT: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009). Atmospheric Chemistry & Physics 2010, 10:11707-11735.
• [14]Hirsch AI, Little WS, Houghton RA, Scott NA, White JD: The net carbon flux due to deforestation and forest re-growth in the Brazilian Amazon: analysis using a process-based model. Global Change Biology 2004, 10:908-924.
• [15]Houghton RA, Skole DL, Nobre CA, Hackler JL, Lawrence KT, Chomentowski WH: Annual Fluxes of carbon from deforestation and regrowth in the Brazilian Amazon. Nature 2000, 403:301-304.
• [16]Ramankutty N, Gibbs HK, Achard F, DeFries RS, Foley JA, Houghton RA: Challenges to estimating carbon emissions from tropical deforestation. Global Change Biology 2007, 13:51-66.
• [17]Potter C, Genovese VB, Klooster S, Bobo M, Torregrosa A: Biomass burning losses of carbon estimated from ecosystem modeling and satellite data analysis for the Brazilian Amazon region. Atmospheric Environment 2001, 35:1773-1781.
• [18]Fearnside PM: Greenhouse gases from deforestation in Brazilian Amazonia: net committed emissions. Climatic Change 1997, 35:321-360.
• [19]Loarie SR, Asner GP, Field CB: Boosted carbon emissions from Amazon deforestation. Geophysical Research Letters 2009, 36:L14810. doi:14810.11029/12009GL037526
• [20]IPCC: Guidelines for National Greenhouse Gas Inventories, Prepared by the National Greenhouse Gas Inventories Programme. Japan: IGES; 2006.
• [21]GOFC-GOLD: Reducing greenhouse gas emissions from deforestation and degradation in developing countires: a sourcebook of methods and procedures for monitoring, measuring, and reporting, GOFC-GOLD Report version COP14-2. Alberta, Canada: Natural Resources Canada; 2009.
• [22]Houghton RA: Aboveground forest biomass and the global carbon balance. Global Change Biology 2005, 11:945-958.
• [23]Avitabile V, Herold M, Henry M, Schmullius C: Mapping biomass with remote sensing: a comparison of methods for the case study of Uganda. Carbon Balance and Management 2011, 6:7. BioMed Central Full Text
• [24]Morton DC, DeFries RS, Randerson JT, Giglio L, Schroeder W, Van der Werf GR: Agricultural intensification increases deforestation fire activity in Amazonia. Global Change Biology 2008, 14:2262-2275.
• [25]van der Werf GR, Morton DC, DeFries RS, Giglio L, Randerson JT, Collatz GJ, Kasibhatla PS: Estimates of fire emissions from an active deforestation region in the southern Amazon based on satellite data and biogeochemical modelling. Biogeosciences 2009, 6:235-249.
• [26]Kohl M, Baldauf T, Plugge D, Krug J: Reduced emissions from deforestation and forest degradation (REDD): a climate change mitigation strategy on a critical track. Carbon Balance and Management 2009., 4doi:10.1186/1750-0680-1184-1110
• [27]Grassi G, Monni S, Federici S, Achard F, Mollicone D: Applying the conservativeness principle to REDD to deal with the uncertainties of the estimates. Environmental Research Letters 2007., 3doi:10.1088/1748-9326/1083/1083/035005
• [28]Le Quere C, Raupach MR, Canadell JG, Marland G, Bopp L, Ciais P, Conway TJ, Doney SC, Feely R, Foster P, Friedlingstein P, Gurney K, Houghtoh RA, House JI, Huntingford C, Levy P, Lomas MR, Majkut J, Metzl N, Ometto JP, Peters GP, Prentice IC, Randerson JT, Running SW, Sarmiento JL, Schuster U, Sitch S, Takahashi T, Viovy N, van der Werf GR, et al.: Trends in the sources and sinks of carbon dioxide. Nature Geoscience 2009, 2:831-836.
• [29]Pelletier J, Ramankutty N, Potvin C: Diagnosing the uncertainty and detectability of emission reductions for REDD+ under current capabilities: an example for Panama. Environmental Research Letters 2011, 6:024005.
• [30]Pelletier J, Kirby KR, Potvin C: Significance of carbon stock uncertainties on emission reductions from deforestation and forest degradation in developing countries. Forest Policy and Economics 2010. doi:10.1016/j.forpo.2010.1005.1005
• [31]Hansen MC, Stehman SV, Potapov PV, Loveland TR, Townshend J, DeFries RS, Pittman KW, Arunarwati B, Stolle F, Steininger MK, Carroll M, DiMiceli C: Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data. Proceedings of the National Academy of Sciences 2008, 105:9439-9444.
• [32]SEMA-MT: Sistema Integrado de Monitoramento e Licenciamento Ambiental de Mato Grosso (SIMLAM). Secretario de Estado do Meio Ambiente-Mato Grosso 2008.
• [33]INPE: Projeto PRODES: Monitoramento da floresta Amazônica Brasileira por satélite. Instituto Nacional de Pesquisas Espaciais; 2008.
• [34]DeFries RS, Achard F, Brown S, Herold M, Murdiyarso D, Schlamadinger B, Souza CM Jr: Earth observations for estimating greenhouse gas emissions from deforestation in developing countries. Environmental Science & Policy 2007, 10:385-394.
• [35]Goward S, Arvidson T, Williams D, Faundeen J, Irons J, Franks S: Historical record of Landsat global coverage: Mission operations, NSLRSDA, and international cooperator stations. Photogrammetric Engineering & Remote Sensing 2006, 72:1155-1169.
• [36]Chambers JQ, Asner GP, Morton DC, Anderson LO, Saatchi SS, Espirito-Santo FdB, Palace M, Souza CM Jr: Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests. Trends in Ecology & Evolution 2007, 22:414-423.
• [37]Alves DS, Morton DC, Batistella M, Roberts DA, Souza CM Jr: The changing rates and patterns of deforestation and land use in Brazilian Amazonia. In Amazonia and global change. Edited by Keller M, Gash J, Silva Dias P. Stockholm: International Geosphere-Biosphere Programme (IGBP); 2009.
• [38]Morton DC, DeFries RS, Shimabukuro YE, Anderson LO, del bon Espírito-Santo F, Hansen MC, Carroll M: Rapid assessment of annual deforestation in the Brazilian Amazon using MODIS data. Earth Interactions 2005, 9:22.
• [39]Asner GP, Keller M, Pereira R, Zweede JC: Remote sensing of selective logging in Amazonia: assessing limitations based on detailed field observations, Landsat ETM+, and textural analysis. Remote Sensing of Environment 2002, 80:483-486.
• [40]Goetz S, Baccini A, Laporte N, Johns T, Walker W, Kellndorfer J, Houghtoh RA, Sun M: Mapping and monitoring carbon stocks with satellite observations: a comparison of methods. Carbon Balance and Management 2010., 4doi:10.1186/1750-0680-1184-1182
• [41]Baccini A, Laporte N, Goetz SJ, Sun M, Dong G: A first map of tropical Africa's above-ground biomass derived from satellite imagery. Environmental Research Letters 2008., 3doi:10.1088/1748-9326/1083/1084/045011
• [42]Asner GP, Powell GVN, Mascaro J, Knapp DE, Clark JK, Jacobson J, Kennedy-Bowdoin T, Balaji A, Paez-Acosta G, Victoria E, Secada L, Valqui M, Hughes RF: High-resolution forest carbon stocks and emissions in the Amazon. Proceedings of the National Academy of Science 2010. doi: 10.1073/pnas.1004875107
• [43]Helmer EH, Lefsky MA, Roberts DA: Biomass accumulation rates in Amazonian secondary forest and biomass of old-growth forests from Landsat time series and the Geoscience Laser Altimeter System. Journal of Applied Remote Sensing 2009., 3doi: 10.1117/1111.3082116
• [44]Asner G: Tropical forest carbon assessment: integrating satellite and airborne mapping. Environmental Research Letters 2009., 4doi:10.1088/1748-9326/1084/1083/034009
• [45]Baker TR, Phillips OL, Malhi Y, Almeida S, Arroyo L, Di Fiore A, Erwin T, Higuchi N, Killeen TJ, Laurance SG, Laurance WF, Lewis SL, Monteagudo A, Neill DA, Vargas PN, Pitman NCA, Silva JNM, Martinez RV: Increasing biomass in Amazon forest plots. Philisophical Transactions of the Royal Society of London B 2004, 359:353-365.
• [46]Haugaasen T, Barlow J, Peres CA: Surface wildfires in central Amazonia: short-term impact on forest structure and carbon loss. Forest Ecology and Management 2003, 179:321-331.
• [47]Asner GP, Keller M, Pereira R, Zweede JC, Silva JN: Canopy damage and recovery following selective logging in an Amazon forest: Integrating field and satellite studies. Ecological Applications 2004, 14:280-298.
• [48]Morton DC, DeFries RS, Nagol J, Souza CM Jr, Kasischke ES, Hurtt GC, Dubayah R: Mapping canopy damage from understory fires in Amazon forests using annual time series of Landsat and MODIS data. Remote Sensing of Environment 2011, 115:1706-1720.
• [49]Asner GP, Broadbent EN, Oliveira PJC, Keller M, Knapp DE, Silva JN: Condition and fate of logged forests in the Brazilian Amazon. Proceedings of the National Academy of Sciences 2006, 103:12947-12950.
• [50]Kennedy RE, Cohen WB, Schroeder TA: Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment 2007, 110:370-386.
• [51]Lula da Silva LI, Mantega G, Rossi WG, Jorge M, Zimmermann MP, Rezende SM, Teixeira IMV: Presidential Decree No. 7,390 (Decreto N° 7.390, de 9 de dezembro de 2010). 2010. available at http://www6.senado.gov.br/ webcite
• [52]UNFCCC: Report of the Conference of the Parties on its seventh session, held at Marrakesh from 29 October to 10 November 2001. UNFCCC; Marrakesh, Morrocco 2001.
• [53]IPCC: IPCC Report on Definitions and Methodological Options to Inventory Emissions from Direct Human-induced Degradation of Forests and Devegetation of Other Vegetation Types. In Edited by Penman J, Gytarsky M, Hiraishi T, Krug T, Kruger D, Ipiatti R, Buendia L, Miwa K, T N. 2003, 30. Intergovernmental Panel on Climate Change (IPCC); 30
• [54]DNPM: Projeto RADAMBRASIL: Levantamento de Recursos Naturais, vols. 1-23, Ministério das Minas e Energia, Departamento Nacional de Produção Mineral. Rio de Janeiro, Brazil; 1973-1983.
• [55]Hansen MC, DeFries RS, Townshend J, Sohlberg R, Dimiceli C, Carroll M: Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data. Remote Sensing of Environment 2002, 83:303-319.
• [56]Skole DL, Tucker C: Tropical deforestation and habitat fragmentation in the Amazon: Satellite data from 1978 to 1988. Science 1993, 260:1905-1910.
• [57]FAO: Global forest resources assessment 2005: Progress towards sustainable forest managment. Rome: Food and Agriculture Organization of the United Nations; 2006.
• [58]Câmara G, Valeriano DM, Soares JV: Metodologio para o cálculo da taxa anual de desmatamento na Amazônia Legal. São José dos Campos, SP, Brazil: Instituto Nacional de Pesquisas Espaciais (INPE); 2005:22. 22
• [59]Costa A, Souza CM Jr: Comparação entre imagens Landsat ETM+ e MODIS/Terra para detecção de incrementos de desmatamento na região do Baixo Acre. Revista Brasileira de Cartografia 2005., 52No. 2
• [60]INPE: Sistema DETER: Detecção de Desmatamento em Tempo Real. Instituto Nacional de Pesquisas Espaciais; 2006.
• [61]Souza CM Jr, Roberts DA, Cochrane MA: Combining spectral and spatial information to map canopy damage from selective logging and forest fires. Remote Sensing of Environment 2005, 98:329-343.
• [62]Matricardi EAT, Skole DL, Cochrane M, Qi J, Chomentowski WH: Monitoring selective logging in tropical evergreen forests using Landsat: mutlitemporal regional analyses in Mato Grosso, Brazil. Earth Interactions 2005, 9:1-24.
• [63]Alencar A, Nepstad DC, Vera Diaz MdC: Forest understory fire in the Brazilian Amazon in ENSO and non-ENSO years: Area burned and committed carbon emissions. Earth Interactions 2006, 10:Paper 10-006.
• [64]Matricardi EAT, Skole DL, Pedlowski MA, Chomentowski W, Feranandes LC: Assessment of tropical forest degradation by selective logging and fire using landsat imagery. Remote Sensing of Environment 2010, 114:1117-1129.
• [65]Fearnside PM: Amazonian deforestation and global warming: carbon stocks in vegetation replacing Brazil's Amazon forest. Forest Ecology and Management 1996, 80:21-34.
• [66]Morton DC, Shimabukuro YE, Freitas R, Arai E, DeFries RS: Secondary forest dynamics and Cerradão loss in Mato Grosso during 2001-2005 from MODIS phenology time series. XIII Simpósio Brasileiro de Sensoriamento Remoto; Florianopolis, SC Brasil 2007, 8.
• [67]Carreiras JMB, Pereira JMC, Campagnolo ML, Shimabukuro YE: Assessing the extent of agriculture/pasture and secondary succession forest in the Brazilian Legal Amazon using SPOT VEGETATION data. Remote Sensing of Environment 2006, 101:283-298.
• [68]Almeida C: Estimative da área e do tempo de permanência da vegetação secundária na Amazônia Legal por meio de imagens Landsat/TM. Institudo Nacional de Pesquisas Espaciais (INPE); 2008.
• [69]Lucas RM, Honzak M, Curran PJ, Foody GM, Milne R, Brown T, Amaral S: Mapping the regional extent of tropical forest regeneration stages in the Brazilian Legal Amazon using NOAA AVHRR data. International Journal of Remote Sensing 2000, 21:2855-2881.
• [70]Houghton RA, Lawrence KT, Hackler JL, Brown S: The spatial distribution of forest biomass in the Brazilian Amazon: a comparison of estimates. Global Change Biology 2001, 7:731-746.
• [71]Malhi Y, Phillips OL, Lloyd J, Baker TR, Wright J, Arroyo AS, Frederiksen T, Grace J, Higuchi N, Killeen TJ, Laurance WF, Leano C, Lewis P, Meir P, Monteagudo A, Neill DA, Nunez Vargas P, Panfil S, Patino S, Pitman N, Quesada CA, Rudas A, Salomão R, Saleska SR, Silva JNM, Silveira M, Sombroek W, Valencia R, Vasquez Martinez R, Vieira IC, et al.: An international network to monitor the structure, composition and dynamics of Amazonian forests (RAINFOR). Journal of Vegetation Science 2002, 13:439-450.
• [72]Chave J, Andalo C, Brown S, Cairns M, Chambers JQ, Eamus D, Folster H, Fromard F, Higuchi N, Kira T, Lescure J, BW N, Ogawa H, Puig H, Riera B, Yamakura T: Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 2005, 145:87-99.
• [73]Nogueira EM, Fearnside PM, Nelson BW, Barbosa RI, Keizer EW: Estimates of forest biomass in the Brazilian Amazon: New allometric equations and adjustments to biomass from wood-volume inventories. Forest Ecology and Management 2008, 256:1853-1867.
• [74]Malhi Y, Wood D, Baker TR, Wright J, Phillips OL, Cochrane T, Meir P, Chave J, Killeen TJ, Laurance SG, Laurance WF, Vargas PN, Pitman NCA, Quesada CA, Salomão R, Silva JN, Lezama AT, Terborgh J, Martínez RV, Vinceti B: The regional variation of aboveground live biomass in old-growth Amazonian forests. Global Change Biology 2006, 12:1-32.
• [75]Saatchi SS, Houghton RA, Dos Santos Alvalá R, Soares JV, Yu Y: Distribution of aboveground live biomass in the Amazon basin. Global Change Biology 2007, 13:816-837.
• [76]Sales MH, Souza CM Jr, Kyriakidis PC, Roberts DA, Vidal E: Improving spatial distribution estimation of forest biomass with geostatistics: A case study for Rondônia, Brazil. Ecological Modelling 2007, 2005:221-230.
• [77]Fisher JI, Hurtt GC, Thomas RQ, Chambers JQ: Clustered disturbances lead to bias in large-scale estimates based on forest sample plots. Ecology Letters 2008, 11:554-563.
• [78]Hurtt GC, Frolking SE, Fearon MG, Moore B, Shevliakova E, Malyshev S, Pacala SW, Houghton RA: The underpinnings of land-use history: three centuries of global gridded land-use transitions, wood-harvest activity, and resulting secondary lands. Global Change Biology 2006, 12:1-22.
• [79]Lefsky MA, Harding DL, Keller M, Cohen WB, Carabajal CC, Espirito-Santo FdB, Hunter MO, de Oliveira R Jr: Estimates of forest canopy height and aboveground biomass unsing ICESat. Geophysical Research Letters 2005, 32:LS22S02.
• [80]Ruesch A, Gibbs HK: New IPCC Tier1 Global Biomass Carbon Map For the Year 2000, Available online from the Carbon Dioxide Information Analysis Center. [http://cdiac.ornl.gov] webciteOak Ridge National Laboratory, Oak Ridge, Tennessee; 2008.
• [81]Brown S, Lugo A: Aboveground biomass estimates for tropical forests of the Brazilian Amazon. Interciência 1992, 17:8-18.
• [82]Gibbs HK, Brown S, Niles JO, Foley JA: Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters 2007., 2doi:10.1088/1748-9326/1082/1084/045023