Regional scale cropland carbon budgets: Evaluating a geospatial agricultural modeling system using inventory data

Environmental Modelling and Software

Volumn 63, Issue , 2015, Pages 199-216

  Zhang, Xuesong ^a   Izaurralde, Roberto C ^a,d   Manowitz, David H ^a   Sahajpal, Ritvik ^a   West, Tristram O ^a   Thomson, Allison M ^a   Xu, Min ^a   Zhao, Kaiguang ^b   LeDuc, Stephen D ^c   Williams, Jimmy R ^d  

^a UNIVERSITY OF MARYLAND   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^d TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Agriculture; Carbon; Climate change; EPIC; Geospatial modeling; Parallel computing

Indexed keywords

AGRICULTURE; BUDGET CONTROL; CARBON; CARBON DIOXIDE; CLIMATE CHANGE; CLIMATE MODELS; CROPS; ECONOMICS; ECOSYSTEMS; ENVIRONMENTAL PROTECTION; INPUT OUTPUT PROGRAMS; PARALLEL ARCHITECTURES; PARALLEL PROCESSING SYSTEMS; SURVEYS;

ACCURATE QUANTIFICATIONS; ENVIRONMENTAL POLICY INTEGRATED CLIMATE MODELS; EPIC; GEOSPATIAL MODEL; NATIONAL AGRICULTURAL STATISTICS SERVICES; NET PRIMARY PRODUCTION; PARALLEL COMPUTING ALGORITHMS; SPATIALLY-EXPLICIT MODELS;

INFORMATION MANAGEMENT;

AGRICULTURAL LAND; ALGORITHM; CARBON BUDGET; CARBON DIOXIDE; CLIMATE MODELING; CONCENTRATION (COMPOSITION); CROP YIELD; ENVIRONMENTAL POLICY; ERROR ANALYSIS; ESTIMATION METHOD; FOREST INVENTORY; REGIONAL PATTERN; REMOTE SENSING; SIMULATION; STATISTICAL ANALYSIS;

EID: 84908663986     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.10.005     Document Type: Article

References (79)

1. Liang Xin-Zhong, Xu Min, Yuan Xing, Ling Tiejun, Choi Hyun I., Zhang Feng, Chen Ligang, et al. Regional climate-weather research and forecasting model. Bull. Am. Meteorol. Soc. 2012, 93(9):1363-1387.
2. Apezteguía H.P., Izaurralde R.C., Sereno R. Simulation study of soil organic matter dynamics as affected by land use and agricultural practices in semiarid Córdoba, Argentina. Soil Tillage Res. 2009, 102:101-108.
3. Arnold J.G., Srinivasan R., Muttiah R.S., Williams J.R. Large area hydrologic modeling and assessment part I: model development1. JAWRA J. Am. Water Resour. Assoc. 1998, 34:73-89.
4. Asseng S., Ewert F., Rosenzweig C., Jones J., Hatfield J., Ruane A., Boote K., Thorburn P., Rötter R., Cammarano D. Uncertainty in simulating wheat yields under climate change. Nat. Clim. Change 2013, 3:827-832.
5. Bennett Neil D., Croke Barry FW., Guariso Giorgio, Guillaume Joseph HA., Hamilton Serena H., Jakeman Anthony J., Marsili-Libelli Stefano, et al. Characterising performance of environmental models. Environ. Model. Softw. 2013, 40:1-20.
6. Causarano H.J., Shaw J.N., Franzluebbers A.J., Reeves D.W., Raper R.L., Balkcom K.S., Norfleet M.L., Izaurralde R.C. Simulating field-scale soil organic carbon dynamics using EPIC. Soil Sci. Soc. Am. J. 2007, 71:1174-1185.
7. Causarano H.J., Doraiswamy P.C., McCarty G.W., Hatfield J.L., Milak S., Stern A. EPIC modeling of soil organic carbon sequestration in croplands of Iowa. J.Environ. Qual. 2008, 37:1345-1353.
8. Chapin F., Woodwell G., Randerson J.T., Rastetter E.B., Lovett G., Baldocchi D.D., Clark D., Harmon M.E., Schimel D.S., Valentini R. Reconciling carbon-cycle concepts, terminology, and methods. Ecosystems 2006, 9:1041-1050.
9. CTIC Crop Residue Management Survey 2008, Conservation Technology Information Center, West Lafayette, Indiana, USA. http://www.ctic.org/resourcedisplay/255/.
10. Dalcin L.D., Paz R.R., Kler P.A., Cosimo A. Parallel distributed computing using python. Adv. Water Resour. 2011, 34:1124-1139.
11. Egbendewe-Mondzozo A., Swinton S.M., Izaurralde C.R., Manowitz D.H., Zhang X. Biomass supply from alternative cellulosic crops and crop residues: a spatially explicit bioeconomic modeling approach. Biomass Bioenergy 2011, 35:4636-4647.
12. Egbendewe-Mondzozo A., Swinton S.M., Izaurralde R.C., Manowitz D.H., Zhang X. Maintaining environmental quality while expanding biomass production: sub-regional US policy simulations. Energy Policy 2013, 57:518-531.
13. EISA, Energy independence and security act, 2007. http://www.gpo.gov/fdsys/pkg/PLAW-110publ140/pdf/PLAW-110publ140.pdf.
14. Farr T.G., Rosen P.A., Caro E., Crippen R., Duren R., Hensley S., Kobrick M., Paller M., Rodriguez E., Roth L. The shuttle radar topography mission. Rev. Geophys. 2007, 45.
15. Gelfand Ilya, Sahajpal Ritvik, Zhang Xuesong, Izaurralde R.César, Gross Katherine L., Robertson G.Philip Sustainable bioenergy production from marginal lands in the US Midwest. Nature 2013, 493(7433):514-517.
16. Gupta H.V., Sorooshian S., Yapo P.O. Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J.Hydrol. Eng. 1999, 4:135-143.
17. Hayes D.J., Turner D.P., Stinson G., McGuire A.D., Wei Y., West T.O., Heath L.S., Jong B., McConkey B.G., Birdsey R.A. 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. Glob. Change Biol. 2012, 18:1282-1299.
18. He X., Izaurralde R., Vanotti M.B., Williams J.R., Thomson A.M. Simulating long-term and residual effects of nitrogen fertilization on corn yields, soil carbon sequestration, and soil nitrogen dynamics. J.Environ. Qual. 2006, 35:1608-1619.
19. Huntzinger D., Post W.M., Wei Y., Michalak A., West T.O., Jacobson A., Baker I., Chen J.M., Davis K., Hayes D. North American Carbon Program (NACP) regional interim synthesis: terrestrial biospheric model intercomparison. Ecol. Model. 2012, 232:144-157.
20. Izaurralde R.C., Rosenberg N.J., Brown R.A., Thomson A.M. Integrated assessment of Hadley Center (HadCM2) climate-change impacts on agricultural productivity and irrigation water supply in the conterminous United States: part II. Regional agricultural production in 2030 and 2095. Agric. For. Meteorol. 2003, 117:97-122.
21. Izaurralde R., Williams J.R., McGill W.B., Rosenberg N.J., Jakas M. Simulating soil C dynamics with EPIC: model description and testing against long-term data. Ecol. Model. 2006, 192:362-384.
22. Izaurralde R., Williams J.R., Post W.M., Thomson A.M., McGill W.B., Owens L., Lal R. Long-term modeling of soil C erosion and sequestration at the small watershed scale. Clim. Change 2007, 80:73-90.
23. Jakeman A., Hornberger G. How much complexity is warranted in a rainfall-runoff model?. Water Resour. Res. 1993, 29:2637-2649.
24. Jakeman Anthony J., Letcher Rebecca A., Norton John P. Ten iterative steps in development and evaluation of environmental models. Environ. Model. Softw. 2006, 21(l):602-614.
25. Johnson D., Mueller R. The 2009 crop data layer. Photogramm. Eng. Remote Sens. 2010, 76:1201-1205.
26. Jones C., Dyke P., Williams J., Kiniry J., Benson V., Griggs R. EPIC: an operational model for evaluation of agricultural sustainability. Agric. Syst. 1991, 37:341-350.
27. Lal R., Bruce J. The potential of world cropland soils to sequester C and mitigate the greenhouse effect. Environ. Sci. Policy 1999, 2:177-185.
28. Liu J. AGIS-based tool for modelling large-scale crop-water relations. Environ. Model. Softw. 2009, 24:411-422.
29. Moriasi D.N., Arnold J.G., Van Liew M.W., Bingner R.L., Harmel R.D., Veith T.L. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE 2007, 50(3):885-900.
30. Moureaux C., Debacq A., Hoyaux J., Suleau M., Tourneur D., Vancutsem F., Bodson B., Aubinet M. Carbon balance assessment of a Belgian winter wheat crop (Triticum aestivum L.). Glob. Change Biol. 2008, 14:1353-1366.
31. Nichols J., Kang S., Post W., Wang D., Bandaru V., Manowitz D., Zhang X., Izaurralde R. HPC-EPIC for high resolution simulations of environmental and sustainability assessment. Comput. Electron. Agric. 2011, 79:112-115.
32. NRC Renewable Fuel Standard: Potential Economic and Environmental Effects of US Biofuel Policy 2011, National Academies Press.
33. Ogle S., Davis K. Science Plan: Mid-continent Intensive Campaign of the North American Carbon Program 2006, 11. North American Carbon Program.
34. Ogle S.M., Breidt F., Easter M., Williams S., Killian K., Paustian K. Scale and uncertainty in modeled soil organic carbon stock changes for US croplands using a process-based model. Glob. Change Biol. 2010, 16:810-822.
35. Parton W.J., Schimel D., Ojima D., Cole C.V., Bryant R., Arnold R. Ageneral model for soil organic matter dynamics: sensitivity to litter chemistry, texture and management. Quantitative Modeling of Soil Forming Processes: Proceedings of a Symposium Sponsored by Divisions S-5 and S-9 of the Soil Science Society of America in Minneapolis, Minnesota, USA, 2 Nov. 1992 1994, 147-167. Soil Science Society of America Inc.
36. Paustian K., Antle J.M., Sheehan J., Paul E.A. Agriculture's Role in Greenhouse Gas Mitigation 2006.
37. Pearson K. Note on regression and inheritance in the case of two parents. Proc. R. Soc. Lond. 1895, 58:240-242.
38. Post W.M., Izaurralde R.C., Mann L.K., Bliss N. Monitoring and Verifying Changes of Organic Carbon in Soil. Storing Carbon in Agricultural Soils: a Multi-purpose Environmental Strategy 2001, 73-99. Springer.
39. Post J., Conradt T., Suckow F., Krysanova V., Wechsung F., Hattermann F.F. Integrated assessment of cropland soil carbon sensitivity to recent and future climate in the Elbe River basin. Hydrol. Sci. J. 2008, 53:1043-1058.
40. Post J., Hattermann F.F., Krysanova V., Suckow F. Parameter and input data uncertainty estimation for the assessment of long-term soil organic carbon dynamics. Environ. Model. Softw. 2008, 23:125-138.
41. Rao M.N., Waits D.A., Neilsen M.L. AGIS-based modeling approach for implementation of sustainable farm management practices. Environ. Model. Softw. 2000, 15:745-753.
42. Saby N., Bellamy P.H., Morvan X., Arrouays D., Jones R.J., Verheijen F.G., Kibblewhite M.G., Verdoodt A., ÜVEGES J.B., FREUDENSCHUß A. Will European soil-monitoring networks be able to detect changes in topsoil organic carbon content?. Glob. Change Biol. 2008, 14:2432-2442.
43. Sahajpal R., Zhang X., Gelfand I., Izaurralde C.R., Hurtt G. Modeling representative crop rotaions in the Central United States. Comput. Electron. Agric. 2014, 108:173-182.
44. Schaldach R., Alcamo J. Coupled simulation of regional land use change and soil carbon sequestration: a case study for the state of Hesse in Germany. Environ. Model. Softw. 2006, 21:1430-1446.
45. 2 inversions at multiple scales over a highly inventoried agricultural landscape. Glob. Change Biol. 2013, 19:1424-1439.
46. 2 exchange across North America: results from the North American carbon program site synthesis. J.Geophys. Res. Biogeosci. (2005-2012) 2010, 115.
47. Smith P., Martino D., Cai Z., Gwary D., Janzen H., Kumar P., McCarl B., Ogle S., O'Mara F., Rice C., Scholes B., Sirotenko O. Agriculture. Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge, United Kingdom and New York, NY, USA 2007, B. Metz, O.R.D., P.R. Bosch, R. Dave, L.A. Meyer (Eds.).
48. Smith P., Davies C.A., Ogle S., Zanchi G., Bellarby J., Bird N., Boddey R.M., McNamara N.P., Powlson D., Cowie A. Towards an integrated global framework to assess the impacts of land use and management change on soil carbon: current capability and future vision. Glob. Change Biol. 2012, 18:2089-2101.
49. Srinivasan R., Zhang X., Arnold J. SWAT ungauged: hydrological budget and crop yield predictions in the Upper Mississippi River Basin. Trans. ASABE 2010, 53:1533-1546.
50. Sus O., Williams M., Bernhofer C., Béziat P., Buchmann N., Ceschia E., Doherty R., Eugster W., Grünwald T., Kutsch W. Alinked carbon cycle and crop developmental model: description and evaluation against measurements of carbon fluxes and carbon stocks at several European agricultural sites. Agric. Ecosyst. Environ. 2010, 139:402-418.
51. Thomson A., Rosenberg N., Izaurralde R., Brown R. Climate change impacts for the conterminous USA: an integrated assessment: part 5. Irrigated agriculture and national grain crop production. Clim. Change 2005, 69:89-105.
52. Thomson A.M., Brown R.A., Rosenberg N.J., Izaurralde R.C., Benson V. Climate change impacts for the conterminous USA: an integrated assessment, part 3, dryland production of grain and forage crops. Clim. Change 2005, 69:43-65.
53. Thomson A., Kyle G., Zhang X., Bandaru V., West T., Wise M., Izaurralde R., Calvin K. The contribution of future agricultural trends in the US Midwest to global climate change mitigation. Glob. Environ. Change 2013, 24:143-154.
54. UNEP The Emissions Gap Report 2013: a UNEP Synthesis Report 2013, http://www.unep.org/pdf/UNEPEmissionsGapReport2013.pdf.
55. Updegraff K., Zimmerman P.R., Kozak P., Chen D.-G., Price M. Estimating the uncertainty of modeled carbon sequestration: the GreenCert™ system. Environ. Model. Softw. 2010, 25:1565-1572.
56. USDA-ERS USDA Agricultural Projections to 2019 2010, 106. http://www.ers.usda.gov/publications/oce-usda-agricultural-projections/oce-2010-1.aspx#.Uy4Vg_ldVEA.
57. USDA-ERS Fertilizer Use and Price 2013, http://www.ers.usda.gov/data-products/fertilizer-use-and-price.aspx#.UmluAvmkqpA.
58. USDA-FSA Fact Sheet: Conservation Reserve Program (CRP) Benefits: Water Quality, Soil Productivity and Wildlife Estimates 2008, https://www.fsa.usda.gov/Internet/FSA_File/crpbennies.pdf.
59. USDA-FSA Conservation Reserve Program ANNUAL SUMMARY and ENROLLMENT STATISTICS FY 2010 2010, http://www.fsa.usda.gov/Internet/FSA_File/annual2010summary.pdf.
60. USDA-NASS, 1997. Usual planting and harvesting dates for U.S. Field Crops. http://www.nass.usda.gov/Publications/Usual_Planting_and_Harvesting_Dates/uph97.pdf.
61. USDA-NASS Quick Stats 1.0 2011, http://www.nass.usda.gov/Quick_Stats/.
62. USDA-NASS CropScape General Information 2014, http://www.nass.usda.gov/research/Cropland/sarsfaqs2.htm#Section1_12.0.
63. USDA-NRCS Soil Survey Geographic (SSURGO) Data Base Data Use Information 1995, ftp://ftp.igsb.uiowa.edu/gis_library/Support_Data/Soils/SSURGO.PDF.
64. USGCRP THE NATIONAL GLOBAL CHANGE RESEARCH PLAN: 2012-2021 2012, http://library.globalchange.gov/u-s-global-change-research-program-strategic-plan-2012-2021.
65. Varella H., Guérif M., Buis S. Global sensitivity analysis measures the quality of parameter estimation: the case of soil parameters and a crop model. Environ. Model. Softw. 2010, 25:310-319.
66. Wang X., He X., Williams J., Izaurralde R., Atwood J. Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC. Trans.-Am. Soc. Agric. Eng. 2005, 48:1041.
67. Wang J., Chen J., Ju W., Li M. IA-SDSS: a GIS-based land use decision support system with consideration of carbon sequestration. Environ. Model. Softw. 2010, 25:539-553.
68. Wang X., Williams J.R., Gassman P.W., Baffaut C., Izaurralde R.C., Jeong J., Kiniry J.R. The EPIC and APEX models: use, calibration and validation. Trans. ASABE 2012, 55:1447-1462.
69. West T.O., Brandt C.C., Wilson B.S., Hellwinckel C.M., Tyler D.D., Marland G., De La Torre Ugarte D.G., Larson J.A., Nelson R.G. Estimating regional changes in soil carbon with high spatial resolution. Soil Sci. Soc. Am. J. 2008, 72:285-294.
70. West T.O., Brandt C.C., Baskaran L.M., Hellwinckel C.M., Mueller R., Bernacchi C.J., Bandaru V., Yang B., Wilson B.S., Marland G. Cropland carbon fluxes in the United States: increasing geospatial resolution of inventory-based carbon accounting. Ecol. Appl. 2010, 20:1074-1086.
71. West T.O., Bandaru V., Brandt C.C., Schuh A., Ogle S. Regional uptake and release of crop carbon in the United States. Biogeosci. Discuss. 2011, 8.
72. Whittaker C., McManus M.C., Smith P. Acomparison of carbon accounting tools for arable crops in the United Kingdom. Environ. Model. Softw. 2013, 46:228-239.
73. Williams J.R. The EPIC model. Comput. Models Watershed Hydrol. 1995, 909-1000. Water Resources Publications, Highlands Ranch, CO. V.P. Singh (Ed.).
74. Williams J.R., Jones C., Kiniry J., Spanel D.A. The EPIC crop growth model. Trans. ASAE (USA). 1989, 32:497-511.
75. Zhang Xuesong, Srinivasan Raghavan, Bosch David Calibration and uncertainty analysis of the SWAT model using genetic algorithms and Bayesian model averaging. J.Hydrol. 2009, 374(3):307-317.
76. Zhang X., Izaurralde R.C., Manowitz D., West T., Post W., Thomson A.M., Bandaru V.P., Nichols J., Williams J. An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems. GCB Bioenergy 2010, 2:258-277.
77. Zhang X., Beeson P., Link R., Manowitz D., Izaurralde R.C., Sadeghi A., Thomson A.M., Sahajpal R., Srinivasan R., Arnold J.G. Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python. Environ. Model. Softw. 2013, 46:208-218.
78. Zhang X., Izaurralde R.C., Arnold J.G., Williams J.R., Srinivasan R. Modifying the soil and water assessment tool to simulate cropland carbon flux: model development and initial evaluation. Sci. Total Environ. 2013, 463:810-822.
79. Zhang X., Sahajpal R., Manowitz D.H., Zhao K., LeDuc S.D., Xu M., Xiong W., Zhang A., Izaurralde R.C., Thomson A.M. Multi-scale geospatial agroecosystem modeling: a case study on the influence of soil data resolution on carbon budget estimates. Sci. Total Environ. 2014, 479:138-150.