A large proportion of north american net ecosystem production is offset by emissions from harvested products, river/stream evasion, and biomass burning

Global Change Biology

Volumn 19, Issue 11, 2013, Pages 3516-3528

  Turner, David P ^a   Jacobson, Andrew R ^b   Ritts, William D ^a   Wang, Weile L ^c   Nemani, Ramakrishna ^c  

^a OREGON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c NASA AMES RESEARCH CENTER   (United States)

Author keywords

Atmospheric inversion model; Biomass burning; Carbon flux; Net ecosystem exchange; Net ecosystem production; River evasion

Indexed keywords

ATMOSPHERIC MODELING; BIOMASS BURNING; CARBON CYCLE; CARBON DIOXIDE; CARBON EMISSION; CARBON FLUX; CARBON SINK; CONCENTRATION (COMPOSITION); NET ECOSYSTEM EXCHANGE; NET ECOSYSTEM PRODUCTION;

CARBON DIOXIDE; CARBON FLUX;

AGRICULTURE; ARTICLE; ATMOSPHERIC INVERSION MODEL; BIOMASS; BIOMASS BURNING; CARBON CYCLE; ECOSYSTEM; FORESTRY; NET ECOSYSTEM EXCHANGE; NET ECOSYSTEM PRODUCTION; NORTH AMERICA; RIVER; RIVER EVASION; THEORETICAL MODEL;

ATMOSPHERIC INVERSION MODEL; BIOMASS BURNING; CARBON FLUX; NET ECOSYSTEM EXCHANGE; NET ECOSYSTEM PRODUCTION; RIVER EVASION;

AGRICULTURE; BIOMASS; CARBON CYCLE; CARBON DIOXIDE; ECOSYSTEM; FORESTRY; MODELS, THEORETICAL; NORTH AMERICA; RIVERS;

EID: 84885427592     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.12313     Document Type: Article

References (90)

1. Alig RJ, Krankin ON, Yost A et al. (2006) Forest carbon dynamics in the Pacific Northwest (USA) and the St. Petersburg region of Russia: comparisons and policy implications. Climatic Change, 79, 335-360.
2. AmeriFlux (2013) Available at: http://public.ornl.gov/ameriflux/ (accessed 25 March 2013).
3. Amiro BD, Barr AG, Barr JG et al. (2010) Ecosystem carbon dioxide fluxes after disturbance in forests of North America. Journal of Geophysical Research-Biogeosciences, 115, G00K02.
4. 4 measurements from the NOAA Earth System Research Laboratory's Tall Tower Greenhouse Gas Observing Network: instrumentation, uncertainty analysis and recommendations for future high-accuracy greenhouse gas monitoring efforts. Atmospheric Measurement Technical Discussion, 6, 1461-1553.
5. Baldocchi D, Falge E, Gu L et al. (2001) FLUXNET: a new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities. Bulletin of the American Meteorological Society, 82, 2415-2434.
6. Bond-Lamberty B, Peckham SD, Ahl DE et al. (2007) Fire as the dominant driver of central Canadian boreal forest carbon balance. Nature, 450, 89-92.
7. 2: North American carbon sources and sinks. Tellus, 62B, 550-572.
8. Butman D, Raymond PA (2011) Significant efflux of carbon dioxide from streams and rivers in the United States. Nature Geoscience, 4, 839-842.
9. Chapin FS, Woodwell GM, Randerson JT et al. (2006) Reconciling carbon-cycle concepts, terminology, and methods. Ecosystems, 9, 1041-1050.
10. Chen M, Zhuang Q, Cook DR et al. (2011) Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data. Biogeosciences, 8, 2665-2688.
11. Ciais P, Borges AV, Abril G et al. (2008) The impact of lateral carbon fluxes on the European carbon balance. Biogeosciences, 3, 1529-1559.
12. 2 fluxes: methods and perspectives. Climatic Change, 103, 69-92.
13. Cole JJ, Prairie YT, Caraco NF et al. (2007) Plumbing the global carbon cycle: integrating inland waters into the terrestrial carbon budget. Ecosystems, 10, 171-184.
14. Conway TJ, Tans PP, Waterman LS et al. (1994) Evidence for interannual variability of the carbon-cycle from the National Oceanic and Atmospheric Administration Climate Monitoring and Diagnostics Laboratory Global Air Sampling Network. Journal of Geophysical Research-Atmospheres, 99, 22831-22855.
15. Coursolle C, Margolis HA, Giasson MA et al. (2012) Influence of stand age on the magnitude and seasonality of carbon fluxes in Canadian forests. Agricultural and Forest Meteorology, 165, 136-148.
16. 2 sampling. Proceedings of the National Academy of Sciences of the United States of America, 107, 18348-18353.
17. CT2011 (2011) CarbonTracker. Version 2011_oi. Available at: http://www.esrl.noaa.gov/gmd/ccgg/carbontracker/ (accessed 25 March 2013).
18. 2 observations and its regional analyses. Biogeosciences, 8, 3263-3281.
19. Desai AR, Bolstad PV, Cook BD et al. (2005) Comparing net ecosystem exchange of carbon dioxide between an old-growth and mature forest in the upper Midwest, USA. Agricultural and Forest Meteorology, 128, 33-55.
20. Duane MV, Cohen WB, Campbell JL et al. (2010) Implications of alternative field-sampling designs on Landsat-based mapping of stand age and carbon stocks in Oregon forests. Forest Science, 56, 405-416.
21. Dunn AL, Barford CC, Wofsy SC et al. (2007) A long-term record of carbon exchange in a boreal black spruce forest: means, responses to interannual variability, and decadal trends. Global Change Biology, 13, 577-590.
22. French NHF, De Groot WJ, Jenkins LK et al. (2011) Model comparisons for estimating carbon emissions from North American wildland fire. Journal of Geophysical Research-Biogeosciences, 116, G00K05.
23. Friedl MA, Sulla-Menashe D, Tan B et al. (2010) MODIS Collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sensing of Environment, 114, 168-182.
24. Fuller TL, Foster DR, Mclachlan TS, et al. (1998) Impact of human activity on regional forest composition and dynamics in central New England. Ecosystems, 1, 76-95.
25. Garbulsky MF, Penuelas J, Papale D et al. (2010) Patterns and controls of the variability of radiation use efficiency and primary productivity across terrestrial ecosystems. Global Ecology and Biogeography, 19, 253-267.
26. Giglio L, Loboda T, Roy DP, et al. (2009) An active-fire based burned area mapping algorithm for the MODIS sensor. Remote Sensing of Environment, 113, 408-420.
27. 2 uptake and ecophysiological parameters of the grain crops of midcontinent North America: estimates from flux tower measurements. Agriculture, Ecosystems and Environment, 164, 162-175.
28. 2 modeling framework to boundary conditions. Journal of Geophysical Research-Atmospheres, 115, D24112.
29. 2 exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion. Biogeosciences, 9, 457-475.
30. GSDTG (Global Soil Data Task Group) (2000) Global Gridded Surfaces of Selected Soil Characteristics (IGBP-DIS). [Global Gridded Surfaces of Selected Soil Characteristics (International Geosphere-Biosphere Programme - Data and Information System)]. Data set. Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, USA. Available at: http://www.daac.ornl.gov (accessed 25 march 2013). doi: 10.3334/ORNLDAAC/569
31. Hayes D, Turner D (2012) The need for "apples-to-apples" comparisons of carbon dioxide source and sink estimates. EOS, 93, 404-405.
32. 2 sink weakening? Global Biogeochemical Cycles, 25, GB3018.
33. Hayes DJ, Turner DP, Stinson G et al. (2012) Reconciling estimates of the contemporary North American carbon balance among terrestrial biosphere models, atmospheric inversions, and a new approach for estimating net ecosystem exchange from inventory-based data. Global Change Biology, 18, 1282-1299.
34. Heath LS, Smith JE, Skog KE et al. (2011) Managed forest carbon estimates for the US Greenhouse Gas Inventory, 1990-2008. Journal of Forestry, 109, 167-173.
35. Huntzinger DN, Post WM, Wei Y et al. (2012) North American Carbon Program (NACP) regional interim synthesis: terrestrial biospheric model intercomparison. Ecological Modelling, 232, 144-157.
36. Jung M, Reichstein M, Margolis HA et al. (2011) Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations. Journal of Geophysical Research-Biogeosciences, 116, G00J07.
37. Justice CO, Townshend JRG, Vermote EF, et al. (2002) An overview of MODIS Land data processing and product status. Remote Sensing of Environment, 83, 3-15.
38. King DA, Turner DP, Ritts WD (2011) Parameterization of a diagnostic carbon cycle model for continental scale application. Remote Sensing of Environment, 115, 1653-1664.
39. King AW, Hayes DJ, Huntzinger DN et al. (2012) North American carbon dioxide sources and sinks: magnitude, attribution, and uncertainty. Frontiers in Ecology and the Environment, 10, 512-519.
40. Kopacz M, Jacob DJ, Fisher JA et al. (2010) Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES). Atmospheric Chemistry and Physics, 10, 855-876.
41. Krishnan P, Black TA, Jassal RS et al. (2009) Interannual variability of the carbon balance of three different-aged Douglas-fir stands in the Pacific Northwest. Journal of Geophysical Research-Biogeosciences, 114, G04011.
42. Lefsky MA (2010) A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System. Geophysical Research Letters, 37, L15401.
43. Levinson DH (ed.) (2005). State of the climate in 2004. Bulletin American Meteorological Society, 86, S1-S86.
44. Lloyd J, Taylor JA (1994) On the temperature-dependence of soil respiration. Functional Ecology, 8, 315-323.
45. LP DAAC (2012) Land Processes Distributed Active Archive Center. Available at: https://lpdaac.usgs.gov/ (accessed 25 March 2013).
46. 2 balance of boreal, temperate, and tropical forests derived from a global database. Global Change Biology, 13, 2509-2537.
47. Luyssaert S, Abril G, Andres R et al. (2012) The European land and inland water CO2, CO., CH4 and N2O balance between 2001 and 2005. Biogeosciences, 9, 3357-3380.
48. Masek JG, Collatz J (2006) Estimating forest carbon fluxes in a disturbed southeastern landscape: integration of remote sensing, forest inventory, and biogeochemical modeling. Journal of Geophysical Research, 11, doi: 10.1029/2005JG000062, 2006
49. Meigs GW, Turner DP, Ritts WD et al. (2011) Landscape-scale simulation of heterogeneous fire effects on pyrogenic carbon emissions, Tree mortality, and net ecosystem production. Ecosystems, 14, 758-775.
50. McCarty JL, Korontzi S, Justice CO, et al. (2009) The spatial and temporal distribution of crop residue burning in the contiguous United States. Science of the Total Environment, 407, 5701-5712.
51. Moffat AM, Papale D, Reichstein M et al. (2007) Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes. Agricultural and Forest Meteorology, 147, 209-232.
52. Moore DS, McCabe GP (2006) Introduction to the Practice of Statistics (5th edn). W.H. Freeman and Company, New York.
53. Myneni R, Hoffman R, Knyazikhin Y et al. (2002) Global products of vegetation leaf area and fraction absorbed PAR from one year of MODIS data. Remote Sensing of Environment, 76, 139-155.
54. Nemani R, Hashimoto H, Votava P, et al. (2009) Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS). Remote Sensing of Environment, 113, 1497-1509.
55. 2 and implications for carbon cycle research. Journal of Geophysical Research-Atmospheres, 109, D02301.
56. Omernik JM (1987) Ecoregions of the conterminous United States. Map (scale 1:7, 500, 000). Annals of the Association of American Geographers, 77, 118-125.
57. Pan Y, Chen JM, Birdsey R et al. (2011) Age structure and disturbance legacy of North American forests. Biogeosciences, 8, 715-732.
58. Peters W, Jacobson AR, Sweeney C et al. (2007) An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker. Proceedings of the National Academy of Sciences of the United States of America, 104, 18925-18930.
59. Reichstein M, Ciais P, Papale D et al. (2007) Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: a joint flux tower, remote sensing and modelling analysis. Global Change Biology, 13, 634-651.
60. Running SR, Baldocchi DD, Turner DP et al. (1999) A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing of Environment, 70, 108-128.
61. Schuh AE, Denning AS, Corbin KD et al. (2010) A regional high-resolution carbon flux inversion of North America for 2004. Biogeosciences, 7, 1625-1644.
62. 2 inversions at multiple scales over a highly inventoried agricultural landscape. Global Change Biology, 19, 1424-1439.
63. 2. Science, 316, 1732-1735.
64. Sun G, Caldwell P, Noormets A et al. (2011) Upscaling key ecosystem functions across the conterminous United States by a water-centric ecosystem model. Journal of Geophysical Research-Biogeosciences, 116, G00J05.
65. Thomas CK, Law BE, Irvine J et al. (2009) Seasonal hydrology explains interannual and seasonal variation in carbon and water exchange in a semiarid mature ponderosa pine forest in central Oregon. Journal of Geophysical Research-Biogeosciences, 114, G04006.
66. Thomas CK, Martin JG, Law BE et al. (2013) Toward biologically meaningful net carbon exchange estimates for tall, dense canopies: multi-level eddy covariance observations and canopy coupling regimes in a mature Douglas-fir forest in Oregon. Agricultural and Forest Meteorology, 173, 14-27.
67. Turner DP, Cohen WB, Kennedy RE (2000) Alternative spatial resolutions and estimation of carbon flux over a managed forest landscape in Western Oregon. Landscape Ecology, 15, 441-452.
68. Turner DP, Ritts WD, Cohen WB et al. (2005) Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production monitoring. Global Change Biology, 11, 666-684.
69. Turner DP, Ritts WD, Styles JM et al. (2006) A diagnostic carbon flux model to monitor the effects of disturbance and interannual variation in climate on regional NEP. TellusB, 58, 476-490.
70. Turner DP, Ritts WD, Law BE, et al. (2007) Scaling net ecosystem production and net biome production over a heterogeneous region in the western United States. Biogeosciences, 4, 597-612.
71. Turner DP, Ritts WD, Wharton S et al. (2009) Assessing FPAR source and parameter optimization scheme in application of a diagnostic carbon flux model. Remote Sensing of Environment, 113, 1529-1539.
72. Turner DP, Göckede M, Law BE et al. (2011a) Multiple constraint analysis of regional land surface carbon flux. TellusB, 63, 207-221.
73. Turner DP, Ritts WD, Yang ZQ et al. (2011b) Decadal trends in net ecosystem production and net ecosystem carbon balance for a regional socioecological system. Forest Ecology and Management, 262, 1318-1325.
74. Turquety S, Logan JA, Jacob DJ et al. (2007) Inventory of boreal fire emissions for North America in 2004: importance of peat burning and pyroconvective injection. Journal of Geophysical Research-Atmospheres, 112, D12S03.
75. 2 exchange on timescales from hourly to decadal at Harvard Forest. Journal of Geophysical Research-Biogeosciences, 112, G2.
76. USDA (2005) Crop Production, 2004 Summary. Available at: http://usda01.library.cornell.edu/usda/nass/CropProdSu//2000s/2005/CropProdSu-01-12-2005.pdf (accessed 25 March 2013).
77. Van der Werf GR, Randerson JT, Giglio L et al. (2006) Interannual variability in global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry and Physics, 6, 3423-3441.
78. 2. Agricultural and Forest Meteorology, 149, 1919-1930.
79. 2 from streams {box drawings light horizontal} The dominant component of the carbon export through the aquatic conduit in a boreal landscape. Global Change Biology, 19, 785-797.
80. Wang WL, Dungan J, Hashimoto H et al. (2010) Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 1. Primary production. Global Change Biology, 17, 1350-1366.
81. Welp LR, Randerson JT, Liu HP (2007) The sensitivity of carbon fluxes to spring warming and summer drought depends on plant functional type in boreal forest ecosystems. Agricultural and Forest Meteorology, 147, 172-185.
82. 2 flux measurements reveal high sensitivity to climate anomalies across seasonal, annual and decadal time scales. Agricultural and Forest Meteorology, 161, 1-14.
83. Wilson KB, Baldocchi DD (2001) Comparing independent estimates of carbon dioxide exchange over 5 years at a deciduous forest in the southeastern United States. Journal of Geophysical Research-Atmospheres, 106, 34167-34178.
84. Xiao XM, Zhang QY, Hollinger D et al. (2005) Modeling gross primary production of an evergreen needleleaf forest using MODIS and climate data. Ecological Applications, 15, 954-969.
85. Xiao JF, Zhuang QL, Law BE et al. (2011) Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations. Agricultural and Forest Meteorology, 151, 60-69.
86. Xiao JF, Chen JQ, Davis KJ et al. (2012) Advances in upscaling of eddy covariance measurements of carbon and water fluxes. Journal of Geophysical Research-Biogeosciences, 117, G00J01.
87. Yi CX, Ricciuto D, Li R et al. (2010) Climate control of terrestrial carbon exchange across biomes and continents. Environmental Research Letters, 5, 034007.
88. Zhang L, Wylie BK, Ji L et al. (2011) Upscaling carbon fluxes over the Great Plains grasslands: sinks and sources. Journal of Geophysical Research-Biogeosciences, 116, G00J03.
89. Zhang FM, Chen JM, Chen JQ et al. (2012) Evaluating spatial and temporal patterns of MODIS GPP over the conterminous US against flux measurements and a process model. Remote Sensing of Environment, 124, 717-729.
90. Zhao MS, Heinsch FA, Nemani RR et al. (2005) Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sensing of Environment, 95, 164-176.