A land-use and land-cover modeling strategy to support a national assessment of carbon stocks and fluxes

Applied Geography

Volumn 34, Issue , 2012, Pages 111-124

  Sohl, Terry L ^a   Sleeter, Benjamin M ^b   Zhu, Zhiliang ^a   Sayler, Kristi L ^a   Bennett, Stacie ^c   Bouchard, Michelle ^d   Reker, Ryan ^d   Hawbaker, Todd ^e   Wein, Anne ^b   Liu, Shuguang ^a   Kanengieter, Ronald ^c   Acevedo, William ^b  

^a U S GEOLOGICAL SURVEY   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

^c SGT INC   (United States)

^d ARTS   (United States)

^e DENVER FEDERAL CENTER   (United States)

Author keywords

Carbon; Land cover; Land use; Model; Scenario

Indexed keywords

BIOGEOCHEMISTRY; CARBON FLUX; CARBON SEQUESTRATION; ECOREGION; ENVIRONMENTAL DISTURBANCE; GEOLOGICAL SURVEY; GREENHOUSE GAS; LAND COVER; LAND MANAGEMENT; LAND USE CHANGE; METHODOLOGY;

GREAT PLAINS; UNITED STATES;

EID: 84155175762     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2011.10.019     Document Type: Article

References (47)

1. Conant, R. T., Paustian, K., & Elliot, E. T. (2001). Grassland management and conversion into grassland: effects on soil carbon. Ecological Applications, 11(2), 343-355.
2. Dale, V., Archer, S., Change, M., & Ojima, D. (2005). Ecological impacts and mitigation strategies for rural land management. Ecological Applications, 15(6), 1879-1892.
3. Gallant, A. L., Loveland, T. R., Sohl, T. L., & Napton, D. (2004). Using a geographic framework for analyzing land cover issues. Environmental Management, 34, 89-110.
4. Griffith, J. A., Stehman, S. V., Sohl, T. L., & Loveland, T. R. (2003). Detecting trends in landscape pattern metrics over a 20-year period using a sampling-based monitoring programme. International Journal of Remote Sensing, 24(1), 175-181.
5. Homer, C., Dewitz, J., Fry, J., Coan, M., Hossain, N., Larson, C., et al. (2007). Completion of the 2001 national land cover database for the conterminous United States. Photogrammetric Engineering and Remote Sensing, 73(4), 337-341.
6. Huang, C., Goward, S. N., Masek, J. G., Thomas, N., Zhu, Z., & Vogelmann, J. E. (2010). An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment, 114, 183-198.
7. IMAGE Team. (2001). The IMAGE 2.2. implementation of the SRES scenarios: A comprehensive analysis of emissions, climate change and impacts in the 21st century. RIVM CD-ROM Publication 481508018. Bilthoven, The Netherlands: National Institute for Public Health and the Environment.
8. Intergovernmental Panel on Climate Change (IPCC). (2000). IPCC special report on emission scenarios.
9. Intergovernmental Panel on Climate Change (IPCC). (2003). Good practice guidance for land use, land-use change, and forestry. IPCC National Greenhouse Gas Inventories Programme. In J. Penman, M. Gytarsky, T. Hiraishi, T. Krug, D. Kruger, R. Pipatti, L. Buendia, K. Miwa, T. Ngara, K. Tanabe, & F.Wagner (Eds.). Available online at http://www.ipcc-nggip.iges.or.jp/public/gpglulucf/gpglulucf_files/GPG_LULUCF_FULL.pdf October 1st, 2011.
10. Intergovernmental Panel on Climate Change (IPCC). (2006). 2006 IPCC guidelines for national greenhouse gas inventories. The National Greenhouse Gas Inventories Programme. In H. S. Eggleston, L. Buendia, K. Miwa, T. Ngara, & K. Tanabe (Eds.). Hayama, Kanagawa, Japan: The Intergovernmental Panel on Climate Change.
11. Lal, R. (2007). Soil carbon sequestration to mitigate climate change and advance food security. Soil Science, 172(12), 943-956.
12. Li, M., Huang, C., Zhu, Z., Shi, H., Lu, H., & Peng, S. (2008). Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model. Forest Ecology and Management, 257, 1480-1488.
13. Liu, S., Bliss, N., Sundquist, E. T., & Huntington, T. G. (2003). Modeling carbon dynamics in vegetation and soil under the impacts of soil erosion and deposition. Global Biogeochemical Cycles, 17(2), 1074-1097.
14. Liu, S., Loveland, T. R., & Kurtz, R. M. (2004). Contemporary carbon dynamics in terrestrial ecosystems in the Southeastern plains of the United States. Environmental Management, 33, S442-S456.
15. Loveland, T. R., Sohl, T. L., Stehman, S. V., Gallant, A. L., Sayler, K. L., & Napton, D. E. (2002). A strategy for estimating the rates of recent United States land cover changes. Photogrammetric Engineering and Remote Sensing, 68(10), 1091-1099.
16. Nabuurs, G. J., Schelhaas, M. J., Mohrens, G. M. J., & Field, C. B. (2003). Temporal evolution of the European forest sector carbon sink from 1950 to 1999. Global Change Biology, 9, 152-160.
17. Omernik, J. M. (1987). Ecoregions of the conterminous United States. Annals of the Association of American Geographers, 77, 118-125.
18. Parton, W. J., Schimel, D. S., Cole, C. V., & Ojima, D. S. (1987). Analysis of factors controlling soil organic-matter levels in Great-Plains grasslands. Soil Science Society of America Journal, 51, 1173-1179.
19. Pontius, R. G., Jr. (2002). Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering and Remote Sensing, 68(10), 1041-1049.
20. Pontius, R. G., Jr., Boersma, W., Castella, J. C., Clarke, K., de Nijs, T., Dietzel, C., et al. (2008). Comparing the input, output, and validation maps for several models of land change. Annals of Regional Science, 42, 11-47.
21. Pontius, R. G., Jr., & Neeti, N. (2010). Uncertainty in the difference between maps of future land change scenarios. Sustainability Science, 5(1), 39-50.
22. Potter, C., Klooster, S., Hiatt, S., Fladeland, M., Genovese, V.,&Gross, P. (2007). Satellitederived estimates of potential carbon sequestration through afforestation of agricultural lands in the United States. Climatic Change, 80(3-4), 323-336.
23. Richards, G. P., & Evans, D. M. W. (2004). Development of a carbon accounting model (FullCAM Vers. 1.0) for the Australian continent. Australian Forestry, 67(4), 277-283.
24. Rollins, M.G., & Frame, C.K. tech. eds. (2006). The LANDFIRE prototype project: Nationally consistent and locally relevant geospatial data for wildland fire management. Gen. Tech. Rep. RMRS-GTR-175 (416 p.), Fort Collins: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.
25. Schulp, C. J. E., Nabuurs, G. J., & Verburg, P. H. (2008). Future carbon sequestration in Europe e effects of land use change. Agriculture, Ecosystems and Environment, 127, 251-264.
26. Schwaiger, H. P., & Bird, D. N. (2010). Integration of albedo effects caused by land use change into the climate balance: should we still account in greenhouse gas units? Forest Ecology and Management, 260(3), 278-286.
27. Sleeter, B. M., Sohl, T. L., Bouchard, M., Reker, R., Sleeter, R. R., & Sayler, K. L. Scenarios of land use and land cover change in the conterminous United States: utilizing the Special report on emissions scenarios at ecoregional scales. Global Environmental Change, submitted for publication.
28. Smith, P., Powlson, D. S., Smith, J. U., Falloon, P., & Coleman, K. (2000). Meeting Europe's climate change commitments: quantitative estimates of the potential for carbon mitigation by agriculture. Global Change Biology, 6, 525-539.
29. Sohl, T. L., Gallant, A. L., & Loveland, T. R. (2004). The characteristics and interpretability of land surface change and implications on project design. Photogrammetric Engineering and Remote Sensing, 70(4), 439-448.
30. Sohl, T. L., Loveland, T. R., Sleeter, B. M., Sayler, K. L., & Barnes, C. A. (2010). Addressing foundational elements of regional land-use change forecasting. Landscape Ecology, 25, 233-247.
31. Sohl, T. L., & Sayler, K. L. (2008). Using the FORE-SCE model to project land-cover change in the southeastern United States. Ecological Modelling, 219, 49-65.
32. Sohl, T. L., Sayler, K. L., Drummond, M. A., & Loveland, T. R. (2007). The FORE-SCE model: a practical approach for projecting land use change using scenariobased modeling. Journal of Land Use Science, 2(2), 103-126.
33. Tian, H., Melillo, J., Lu, C., Kicklighter, D., Liu, M., Ren, W., et al. (2011). China's terrestrial carbon balance: contributions from multiple global change factors. Global Biogeochemical Cycles, 25(BG1007), 16. doi:10.1029/2010GB003838.
34. Turner, B. L., II, Lambin, E. F., & Reenberg, A. (2007). The emergence of land change science for global environmental change and sustainability. Proceedings of the National Academy of Sciences, 104(52), 20666-20671.
35. U.S. Climate Change Science Program (CCSP). (2007). The first state of the carbon cycle report (SOCCR)ethe North American carbon budget and implications for the global carbon cycle. A report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research. In A. W. King, L. Dilling, G. P. Zimmerman, D. M. Fairman, R. A. Houghton, G. Marland, A. Z. Rose, & T. J. Wilbanks (Eds.) (pp. 242). Asheville, N.C.: National Oceanic and Atmospheric Administration, National Climatic Data Center.
36. U.S. Environmental Protection Agency. (1999). Level III ecoregions of the continental United States. Corvallis, Oregon: U.S. Environmental Protection Agency e National Health and Environmental Effects Research Laboratory. Digital map, scale 1:250,000.
37. U.S. Environmental Protection Agency. (2010). Inventory of U.S. greenhouse gas emissions and sinks: 1990-2008. U.S. EPA # 430-R-10-006. U.S. Environmental Protection Agency.
38. U.S. Government Printing Office. (2007). Public Law 110-140-Energy Independence and Security Act. Washington D.C. http://www.gpo.gov/fdsys/pkg/PLAW-110publ140/content-detail.html
39. Verburg, P. H., Eickhout, B., & van Meijl, H. (2008). A multi-scale, multi-model approach for analyzing the future dynamics of European land use. Annals of Regional Science, 42, 57-77.
40. Verburg, P. H., Veldkamp, A., & Fresco, L. O. (1999). Simulation of changes in the spatial pattern of land use in China. Applied Geography, 19, 211-233.
41. Vogelmann, J. E., Howard, S. M., Yang, L., Larson, C. R., Wylie, B. K., & Van Driel, J. N. (2001). Completion of the 1990s National Land Cover Data Set for the conterminousUnited States. Photogrammetric Engineering and Remote Sensing, 67, 650-662.
42. Wiedinmyer, C., & Hurteau, M. D. (2010). Prescribed fire as a means of reducing forest carbon emissions in the western United States. Environmental Science and Technology, 44(6), 1926-1932.
43. Woudenberg, S. W., Conkling, B. L., O'Connell, B. M., LaPoint, E. B., Turner, J. A., & Waddell, K. L. (2009). The forest inventory and analysis database: Database description and users manual version 4.0 for Phase 2. Gen. Tech. Rep. RMRS-GTR-245. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.
44. Xian, G., Homer, C., & Fry, J. (2009). Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods. Remote Sensing of Environment, 113(6), 1133-1147.
45. Zhao, S., Liu, S., Li, Z., & Sohl, T. (2009). Ignoring detailed fast-changing dynamics of land use overestimates regional terrestrial carbon sequestration. Biogeosciences, 6, 1647-1654.
46. Zhao, S., Liu, S., Li, Z., & Sohl, T. (2010). A spatial resolution threshold of land cover in estimating terrestrial carbon sequestration in four counties in Georgia and Alabama. Biogeosciences, 7(1), 71-80.
47. Zhu, Z. (2010). In B. Bergamaschi, R. Bernknopf, D. Clow, D. Dye, S. Faulkner, W. Forney, R. Gleason, T. Hawbaker, J. Liu, S. Liu, S. Prisley, B. Reed, M. Reeves, M. G. Rollins, B. Sleeter, T. L. Sohl, S. Stackpoole, S. Stehman, R. Striegl, A.Wein, & Z. Zhu (Eds.), A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios. U.S. Geological Survey, Open-File Report, 2010-1144, 196 pp. plus nine appendixes. http://pubs.er.usgs.gov/usgspubs/ofr/ofr20101144.