Estimating the uncertainty of modeled carbon sequestration: The GreenCert™ system

Environmental Modelling and Software

Volumn 25, Issue 12, 2010, Pages 1565-1572

  Updegraff, Karen ^a   Zimmerman, Patrick R ^b   Kozak, Patrick ^a   Chen, Ding Geng ^c   Price, Maribeth ^d  

^a C Lock Technology Inc   (United States)

^b C Lock Inc   (United States)

^c GEORGIA SOUTHERN UNIVERSITY   (United States)

^d South Dakota School of Mines Technology   (United States)

Author keywords

C LOCK ; Carbon sequestration; CENTURY; GreenCert ; Monte Carlo; Sensitivity; Soil carbon

Indexed keywords

CARBON SEQUESTRATION; CENTURY; MONTE CARLO; SENSITIVITY; SOIL CARBON;

ANALYTICAL GEOCHEMISTRY; CLIMATE MODELS; GEOLOGIC MODELS; LAKES; MONTE CARLO METHODS; SENSITIVITY ANALYSIS; SOILS; UNCERTAINTY ANALYSIS;

ORGANIC CARBON;

CARBON FLUX; CARBON SEQUESTRATION; DATABASE; EMISSIONS TRADING; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MODELING; GIS; GRAZING; METEOROLOGY; MONTE CARLO ANALYSIS; RANCHING; SENSITIVITY ANALYSIS; SOIL CARBON; SOIL EMISSION; SOIL ORGANIC MATTER;

EID: 79955880417     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2010.05.009     Document Type: Article

References (44)

1. Antle J., Capalbo S., Mooney S., Elliott E., Paustian K. Spatial heterogeneity, contract design, and the efficiency of carbon sequestration policies for agriculture. Journal of Environmental Economics and Management 2003, 46(2):231-250.
2. Antle J., Mooney S. Designing Efficient Policies for Agricultural Soil Carbon Sequestration 2001, Montana State University, Department of Agricultural Economics. http://www.climate.montana.edu/.
3. Beckett P., Webster R. Soil variability: a review. Soils and Fertilizers 1971, 34(1):1-15.
4. Bocchi S., Castrignano A., Fornaro F., Maggiore T. Application of factorial kriging for mapping soil variation at field scale. European Journal of Agronomy 2000, 13:295-308.
5. Bricklemyer R., Miller P., Turk P., Paustian K., Keck T., Nielsen G. Sensitivity of the century model to scale-related soil texture variability. Soil Science Society of America Journal 2007, 71:784-792.
6. Burrough P. Multiscale sources of spatial variation in soils. I. The application of fractal concepts to nested levels of soil variation. Journal of Soil Science 1983, 34:577-597.
7. Chen M., Liu S., Tieszen L., Hollinger D. Improved state-parameter analysis of ecosystem models using data assimilation. Ecological Modelling 2008, 219:317-326.
8. ERS Data: U.S. Fertilizer Use and Price 2005, verified 14 Oct 05, USDA Economic Research Service. http://www.ers.usda.gov/Data/FertilizerUse/.
9. Ferro V., Porto P. Sediment delivery distributed (SEDD) model. Journal of Hydrologic Engineering 2000, 5:411-422.
10. Gilmanov T., Parton W., Ojima D. Testing the CENTURY ecosystem level model on data sets from eight grassland sites in the former USSR representing wide climatic/soil gradient. Ecological Modelling 1997, 96:191-210.
11. Haan P., Skaggs R. Effect of parameter uncertainty on DRAINMOD predictions. II. Nitrogen loss. Transactions of the ASAE 2003, 4:1069-1075.
12. Hogg R., Craig A. Introduction to Mathematical Statistics 1978, Macmillan, New York. fourth ed.
13. Ihaka R., Gentleman R. R: a language for data analysis and graphics. Journal of Computational and Graphical Statistics 1996, 5(3):299-314.
14. Ihori T., Burke I., Lauenroth W., Coffin D. Effects of cultivation and abandonment on soil organic matter in northeastern Colorado. Soil Science Society of America Journal 1995, 59:1112-1119.
15. Krzykacz-Hausmann B. Sensitivity analysis of Monte Carlo estimates from computer models in the presence of epistemic and aleatory uncertainties. Sensitivity Analysis of Model Output 2005, 71-80. Los Alamos National Laboratory. http://libray.lanl.gov/samo2004, K. Hanson, F. Hemez (Eds.).
16. Liu S., Bliss N., Sundquist E., Huntington T. Modeling carbon dynamics in vegetation and soil under the impact of soil erosion and deposition. Global Biogeochemical Cycles 2003, 17(2):1074.
17. Liu S., Loveland T., Kurtz R. Contemporary carbon dynamics in terrestrial ecosystems in the Southeastern Plains of the United States. Environmental Management 2004, 33(Suppl. 1):S442-S456.
18. Ma L., Ascough J., Ahuja L., Shaffer M., Hanson J., Rojas K. Root zone water quality model sensitivity analysis using Monte Carlo simulation. Transactions of the ASAE 2000, 43(4):883-895.
19. Motavilli P., Palm C., Parton W., Elliott E., Frey S. Comparison of laboratory and modeling simulation methods for estimating soil carbon pools in tropical forest soils. Soil Biology and Chemistry 1994, 26:935-944.
20. MRLC 1992 National Land Cover Data 2007, Verified 22 Jan 09. http://www.epa.gov/mrlc/nlcd.html.
21. NASS Quick Stats: Agricultural Statistics Data Base 2005, verified 14 Oct 05, USDA National Agricultural Statistics Service. http://www.nass.usda.gov/QuickStats/.
22. Nicks A. Stochastic generation of the occurrence, pattern, location of maximum amount of daily rainfall. Symposium on Statistical Hydrology 1974, 154-171. U.S. Department of Agriculture, Misc. Pub. N. 1275.
23. NRCS Cost and Returns Estimation 2005, verified 14 Oct 05, USDA Natural Resource Conservation Service - Economics. http://www.economics.nrcs.usda.gov/care/.
24. NRCS Soil Survey Geographic (SSURGO) Database 2005, Verified 17 Aug 05. http://www.ncgc.nrcs.usda.gov/products/datasets/ssurgo/index.html.
25. NRCS State Soil Geographic Database (STATSGO) 2005, Verified 17 Aug 05. http://www.ncgc.nrcs.usda.gov/products/datasets/statsgo/.
26. Parton W., Schimel D., Cole C., Ojima D. Analysis of factors controlling soil organic matter levels in Great Plains grasslands. Soil Science Society of America Journal 1987, 51:1173-1179.
27. Parton W., Scurlock J., Ojima D., Gilmanov T., Scholes R., Schimel D., Kirchner T., Menaut J.-C., Seastedt T., Garcia Moya E., Kamnalrut A., Kinyamario J. Observations and modelling of biomass and soil organic matter dynamics for the grassland biome worldwide. Global Biogeochemical Cycles 1993, 7:785-809.
28. Parton W., Stewart J., Cole C. Dynamics of c, n, p and s in grassland soil: a model. Biogeochemistry 1988, 5:109-131.
29. Pastres R., Ciavatta S. A comparison between the uncertainties in model parameters and in forcing functions: its application to a 3D water quality model. Environmental Modelling and Software 2005, 164:137-152.
30. Paul K., Polglase P., Richards G. Sensitivity analysis of predicted change in soil carbon following afforestation. Ecological Modelling 2003, 164:137-152.
31. Peck T., Beck R. Soil sampling and soil variability, past and present. Communications in Soil Science and Plant Analysis 1998, 29:11-14.
32. Peng C. Modeling the response of soil organic carbon to changes in soil texture, climate, and management practices in agricultural ecosystems of South Dakota, unpublished manuscript 2003.
33. Peng C., Apps M., Price D., Nalder I., Halliwell D. Simulating carbon dynamics along the Boreal forest Transect Case Study (BFTCS) in central Canada: 1. Model testing. Global Biogeochemical Cycles 1998, 12:381-392.
34. PRISM Group PRISM Products 2008, Verified 21 Jan 09. http://www.prism.oregonstate.edu/products.
35. Probert M., Keating B., Thompson J., Parton W. Modeling water, nitrogen and crop yield for a long-term fallow management experiment. Australian Journal of Experimental Agriculture 1995, 35:941-950.
36. Smith J., Heath L. Considerations for interpreting probabilistic estimates of uncertainty of forest carbon. The Impact of Climate Change on America's Forests: a Technical Report Supporting the 2000 USDA Forest Service RPA Assessment 2000, 102-111. USDA Forest Service, Gen. Tech. Rep. RMRS-GTR-59. L. Joyce, R. Birdsey (Eds.).
37. Smith P., Smith J., Powlson D., McGill W., Arah J., Chertov O., Coleman K., Franko U., Frolking S., Jenkinson D., Jensen L., Kelly R., Klein-Gunnewiek H., Komarov A., Li C., Molina J., Mueller T., Parton W., Thornley J., Whitmore A. A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments. Geoderma 1997, 81:153-225.
38. Soil Survey Division Staff Soil Survey Manual 1993, Soil Conservation Service. U.S. Department of Agriculture Handbook 18.
39. Tiscareno-Lopez M., Lopes V., Stone J., Lane L. Sensitivity analysis of the WEPP watershed model for rangeland applications. I. Hillslope processes. Transactions of the ASAE 1993, 36(6):1659-1672.
40. USDA ERS Farm Business and Household Survey Data: Customized Data Summaries from ARMS.U.S 2005, verified 24 Apr 2006, Department of Agriculture, Economic Research Service. mailto:http://www.ers.usda.gov/Data/ARMS/app/Crop.aspx%23midForm.
41. Vallis I., Parton W., Keating B., Wood A. Simulation of the effects of trash and N fertilizer management on soil organic matter levels and yields of sugarcane. Soil & Tillage Research 1996, 38:115-132.
42. Warren-Hicks W., Carbone J., Havens P. Using Monte Carlo techniques to judge model prediction accuracy: validation of the pesticide root zone model 3.12. Environmental Toxicology and Chemistry 2002, 21:1570-1577.
43. World Wildlife Fund Ecoregions Verified 4 Feb 2009. mailto:http://www.worldwildlife.org/science/ecoregions/item1847.html.
44. Zimmerman P., Price M., Peng C., Capehart W., Updegraff K., Kozak P., Vierling L., Baker E., Kopp F., Duke G., Das C. C-lock (patent pending): a system for estimating and certifying carbon emission reduction credits for the sequestration of soil carbon on agricultural land. Mitigation and Adaptation Strategies for Climate Change 2005, 10:307-321.