Quantifying the spatial details of carbon sequestration potential and performance

Geophysical Monograph Series

Volumn 183, Issue , 2009, Pages 117-128

  Liu, Shuguang ^a,b  

^a U S GEOLOGICAL SURVEY   (United States)

^b SOUTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84899813755     PISSN: None     EISSN: None     Source Type: Book Series    
DOI: 10.1029/2006GM000524     Document Type: Article

References (35)

1. Avissar, R. (1992), Conceptual aspects of a statistical-dynamical approach to represent landscape subgrid-scale heterogeneities in atmospheric models, J. Geophys. Res., 97, 2729-2742.
2. Chen, J. M., W. Ju, J. Cihlar, D. Price, J. Liu, W. Chen, J. Pan, A. Black, and A. Barr (2003), Spatial distribution of carbon sources and sinks in Canada;s forests, Tellus, Ser. B, 55, 622-641.
3. Houghton, R. A., J. L. Hackler, and K. T. Lawrence (1999), The US carbon budget: Contributions from land-use change, Science, 285, 574-578.
4. IPCC (1997), Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories, edited by J. T. Houghton, L. G. Meira Filho, B. Lim, K. Treanton, I. Mamaty, Y. Bonduki, D. J. Griggs, and B. A. Callander, IPCC/OECD/IEA, Paris, France.
5. Kimball, J. S., S. W. Running, and S. S. Saatchi (1999), Sensitivity of boreal forest regional water flux and net primary production simulations to sub-grid scale landcover complexity, J. Geophys, Res., 104, 27,789-27,801.
6. Li, C., S. Frolking, and T. A. Frolking (1992), A model of nitrous oxide evolution from soil driven by rainfall events: 1. Model structure and sensitivity, J. Geophys. Res., 97, 9759-9776.
7. Li, C., Y. Zhuang, M. Cao, P. Grill, Z. Dai, S. Frolking, B. I. Moore, W. Salas, W. Song, and X. Wang (2001), Comparing a process-based agro-ecosystem model to the IPCC methodology for developing a national inventory of N2O emissions from arable lands in China, Nutr. Cycling Agroecosyst., 60, 159-175.
8. Liu, J., S. Liu, and T. R. Loveland (2006), Temporal evolution of carbon budgets of the Appalachian forests in the U.S. from 1972 to 2000, For. Ecol. Manage., 222, 191-201.
9. Liu, S., N. Bliss, E. Sundquist, and T. G. Huntington (2003), Modelling carbon dynamics in vegetation and soil under the impact of soil erosion and deposition, Global Biogeochem. Cycles, 17(2), 1074, doi:10.1029/2002GB002010.
10. Liu, S., M. Kaire, E. Wood, O Diallo, and L. L. Tieszen (2004a), Impacts of land use and climate change on carbon dynamics in South-Central Senegal, J. Arid Environ., 59, 583-604.
11. Liu, S., T. R. Loveland, and R. M. Kurtz (2004b), Contemporary carbon dynamics in terrestrial ecosystems in the Southeastern Plains of the United States, Environ., Manage., 33, S442-S456.
12. Loveland, T. R., T. L. Sohl, S. V. Stehman, A. L. Gallant, K. L. Sayler, and D. E. Napton (2002), A strategy for estimating the rates of recent United States land-cover changes, Photogramm. Eng. Remote Sens., 68, 1091-1099.
13. McGuire, A. D., et al. (2001), 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. Cycles, 15, 183-206.
14. McGuire, A. D., et al. (2002), Environmental variation, vegetation distribution, carbon dynamics and water/energy exchange at high latitudes, J. Veg. Sci., 13, 301-314.
15. 2 doubling, Global Biogeochem. Cycles, 9, 407-437.
16. Mitchell, T. D., and P. D. Jones (2005), An improved method of constructing a database of monthly climate observations and associated high-resolution grids, Int. J. Climatol., 25, 693-712.
17. Mitchell, T. D., T. R. Carter, P. D. Jones, M. Hulme, and M. New (2004), A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: The observed record (1901-2000) and 16 scenarios (2001-2100), Tyndall Centre for Climate Change Working Paper 55.
18. Omernik, J. M. (1987), Ecoregions of the conterminous United States, Ann. Assoc. Am. Geogr., 77, 118-125.
19. Pan, Y. D., et al. (1998), Modelled responses of terrestrial ecosystems to elevated atmospheric CO2: A comparison of simulations by the biogeochemistry models of the Vegetation/Ecosystem Modelling and Analysis Project (Vemap), Oecologia, 114, 389-404.
20. Parton, W. J., D. S. Schimel, C. V. Cole, and D. S. Ojima (1987), Analysis of factors controlling soil organic-matter levels in Great-Plains grasslands, Soil Sci. Soc. Am. J., 51, 1173-1179.
21. Parton, W. J., M. P. Gutmann, S. A. Williams, M. Easter, and D. Ojima (2005), Ecological impact of historical land-use patterns in the Great Plains: A methodological assessment, Ecol. Appl., 15, 1915-1928.
22. Pfaff, A. S. P., S. Kerr, R. F. Hughes, S. Liu, G. A. Sanchez-Azofeifa, D. S. Schimel, J. Tosi, and V. Watson (2000), The Kyoto Protocol and payments for tropical forest: An interdisciplinary method for estimating carbon-offset supply and increasing the feasibility of a carbon market under the CDM, Ecol. Econ., 35, 203-221.
23. Pierce, L. L., and S. W. Running (1995), The effects of aggregating subgrid land-surface variation on large-scale estimates of net primary production, Landscape Ecol., 10, 239-253.
24. Potter, C. S., J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney, and S. A. Klooster (1993), Terrestrial ecosystem production-a process model-based on global satellite and surface data, Global Biogeochem. Cycles, 7, 811-841.
25. Potter, C., S. Klooster, P. Tan, M. Steinbach, V. Kumar, and V. Genovese (2005), Variability in terrestrial carbon sinks over two decades: Part 2-Eurasia, Global Planet. Change, 49, 177-186.
26. Raupach M. R., P. J. Rayner, D. J. Barrett, R. S. DeFries, M. Heimann, D. S. Ojima, S. Quegan, and C. C. Schmullius (2005), Model-data synthesis in terrestrial carbon observation: Methods, data requirements and data uncertainty specifications, Global Change Biol., 11, 378-397.
27. Reiners, W. A., S. Liu, K. G. Gerow, M. Keller, and D. S. Schimel (2002), Historical and future land use effects on N2O and NO emissions using an ensemble modelling approach: Costa Rica;s Caribbean lowlands as an example, Global Biogeochem. Cycles, 16, doi:10.1029/2001GB001437.
28. Running, S. W., and J. C. Coughlan (1988), General model of forest ecosystem processes for regional applications: I. hydrologic balance, canopy gas exchange and primary production processes, Ecol. Modell., 42, 125-154.
29. 2 fluxes at Niwot Ridge, Colorado, Global Change Biol., 12, 240-259.
30. SAS Institute Inc. (1990), SAS/STAT User;s Guide, Version 6, 4th ed., Cary, N.C., USA.
31. Schimel, D. S., B. H. Braswell, E. A. Holland, R. Mckeown, D. S. Ojima, T. H. Painter, W. J. Parton, and A. R. Townsend (1994), Climatic, edaphic, and biotic controls over storage and turnover of carbon in soils, Global Biogeochem. Cycles, 8, 279-293.
32. Tan, Z. X., S. G. Liu, C. A. Johnston, T. R. Loveland, L. L. Tieszen, J. X. Liu, and R. Kurtz (2005). Soil organic carbon dynamics as related to land use history in the northwestern Great Plains, Global Biogeochem. Cycles, 19, GB3011, doi:10.1029/2005GB002536.
33. Turner, D. P., R. D. Dodson, and D. Marks (1996), Comparison of alternative spatial resolutions in the application of a spatially distributed biogeochemical model over complex terrain, Ecol. Modell., 90, 53-67.
34. Turner, D. P., W. B. Cohen, and R. E. Kennedy (2000), Alternative spatial resolutions and estimation of carbon flux over a managed forest landscape in western Oregon, Landscape Ecol., 15, 441-452.
35. USDA (1994), State Soil Geographic (STATSGO) Data Base: Data Use Information. U.S. Department of Agriculture Natural Resources Conservation Service, National Soil Survey Center, Miscellaneous Publication Number 1492, 110 pp.