419
3. Discuss how climate has been incorporated into FEW system modeling. How
would you propose improved ways of doing this?
4. Discuss how remote sensing and earth observation data (see Chap. 14) can be
incorporated to improve FEW system modeling methods.
5. Pick an example of a FEW system metric from Chap. 13 and develop a conceptual approach to quantify this metric through FEW system modeling.
References
Food-Centric Approaches to FEWS Modeling
Adams, D., Alig, R., McCarl, B. A., Murray, B. C., Bair, L., Depro, B., Latta, G., Lee, H.-C.,
Schneider, U. A., & Callaway, J. (2005). FASOMGHG conceptual structure, and specification: Documentation. Unpublished paper, Texas A&M University, Department of Agricultural
Economics, College Station, TX.
Baker, D. N., Lambert, J. R., & McKinion, J. M. (1983). GOSSYM: A simulator of cotton crop
growth and yield (134p). Technical Bulletin, South Carolina Agricultural Experiment Station.
Baker, D. N., & Landivar, J. A. (1990). The simulation of plant development in GOSSYM. In
T. Hodges (Ed.), Predicting crop phenology (pp. 153–170). Boston, MA: CRC Press.
Beach, R. H., & McCarl, B. A. (2010). U.S. Agricultural and Forestry Impacts of the Energy
Independence and Security Act: FASOM Results and Model Description (p. 178p). Research
Triangle Park, NC: RTI International.
Boote, K. J., Jones, J. W., Hoogenboom, G., & Pickering, N. B. (1998). The CROPGRO model for
grain legumes. In G. Tsuji, G. Hoogenboom, & P. Thornton (Eds.), Understanding options for
agricultural production (Vol. 7, pp. 99–128). Berlin: Springer.
Chen, L., Liang, X.-Z., DeWitt, D., Samel, A. N., & Wang, J. X. L. (2015). Simulation of seasonal
U.S. precipitation and temperature by the nested CWRF-ECHAM system. Climate Dynamics,
46(3), 1–18. https://doi.org/10.1007/s00382-015-2619-9.
Hodges, H. F., Whisler, F. D., Bridges, S. M., Reddy, K. R., & McKinion, J. M. (1997). Simulation
in crop management—GOSSYM/COMAX. In R. M. Peart & R. B. Curry (Eds.), Agricultural
systems modeling and simulation (pp. 235–282). New York: Marcel Dekker Inc.
Hoogenboom, G., Jones, J., & Boote, K. (1992). Modeling growth, development, and yield of
grain legumes using SOYGRO, PNUTGRO, and BEANGRO: A review. Transactions of the
ASAE (USA), 35(6), 2043–2056.
Jones, C. A., Kiniry, J. R., & Dyke, P. (1986). CERES-Maize: A simulation model of maize growth
and development. College Station, TX: Texas A&M University Press.
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L., Wilkens,
P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003). The DSSAT cropping system model.
European Journal of Agronomy, 18(3), 235–265.
Kiniry, J. R., Williams, J. R., Vanderlip, R. L., Atwood, J. D., Reicosky, D. C., Mulliken, J., Cox,
W. J., Mascagni, H. J., Hollinger, S. E., & Wiebold, W. J. (1997). Evaluation of two maize
models for nine U.S. locations. Agronomy Journal, 89(3), 421–426.
Larsen, S., Jaiswal, D., Bentsen, N. S., Wang, D., & Long, S. P. (2015). Comparing predicted
yield and yield stability of willow and Miscanthus across Denmark. Global Change Biology
Bioenergy. https://doi.org/10.1111/gcbb.12318.
Lee, H. (2002). The dynamic role for carbon sequestration by the U.S. agricultural and forest sectors in greenhouse gas emission mitigation. Unpublished Ph.D. Thesis, Texas A&M University.
Liang, X. Z., Xu, M., Gao, W., Reddy, K. R., Kunkel, K., Schmoldt, D. L., & Samel, A. N. (2012a).
Physical modeling of U.S. cotton yields and climate stresses during 1979 to 2005. Agronomy
Journal, 104(3), 675–683.
15 Modeling
3. Discuss how climate has been incorporated into FEW system modeling. How
would you propose improved ways of doing this?
4. Discuss how remote sensing and earth observation data (see Chap. 14) can be
incorporated to improve FEW system modeling methods.
5. Pick an example of a FEW system metric from Chap. 13 and develop a conceptual approach to quantify this metric through FEW system modeling.
References
Food-Centric Approaches to FEWS Modeling
Adams, D., Alig, R., McCarl, B. A., Murray, B. C., Bair, L., Depro, B., Latta, G., Lee, H.-C.,
Schneider, U. A., & Callaway, J. (2005). FASOMGHG conceptual structure, and specification: Documentation. Unpublished paper, Texas A&M University, Department of Agricultural
Economics, College Station, TX.
Baker, D. N., Lambert, J. R., & McKinion, J. M. (1983). GOSSYM: A simulator of cotton crop
growth and yield (134p). Technical Bulletin, South Carolina Agricultural Experiment Station.
Baker, D. N., & Landivar, J. A. (1990). The simulation of plant development in GOSSYM. In
T. Hodges (Ed.), Predicting crop phenology (pp. 153–170). Boston, MA: CRC Press.
Beach, R. H., & McCarl, B. A. (2010). U.S. Agricultural and Forestry Impacts of the Energy
Independence and Security Act: FASOM Results and Model Description (p. 178p). Research
Triangle Park, NC: RTI International.
Boote, K. J., Jones, J. W., Hoogenboom, G., & Pickering, N. B. (1998). The CROPGRO model for
grain legumes. In G. Tsuji, G. Hoogenboom, & P. Thornton (Eds.), Understanding options for
agricultural production (Vol. 7, pp. 99–128). Berlin: Springer.
Chen, L., Liang, X.-Z., DeWitt, D., Samel, A. N., & Wang, J. X. L. (2015). Simulation of seasonal
U.S. precipitation and temperature by the nested CWRF-ECHAM system. Climate Dynamics,
46(3), 1–18. https://doi.org/10.1007/s00382-015-2619-9.
Hodges, H. F., Whisler, F. D., Bridges, S. M., Reddy, K. R., & McKinion, J. M. (1997). Simulation
in crop management—GOSSYM/COMAX. In R. M. Peart & R. B. Curry (Eds.), Agricultural
systems modeling and simulation (pp. 235–282). New York: Marcel Dekker Inc.
Hoogenboom, G., Jones, J., & Boote, K. (1992). Modeling growth, development, and yield of
grain legumes using SOYGRO, PNUTGRO, and BEANGRO: A review. Transactions of the
ASAE (USA), 35(6), 2043–2056.
Jones, C. A., Kiniry, J. R., & Dyke, P. (1986). CERES-Maize: A simulation model of maize growth
and development. College Station, TX: Texas A&M University Press.
Jones, J. W., Hoogenboom, G., Porter, C. H., Boote, K. J., Batchelor, W. D., Hunt, L., Wilkens,
P. W., Singh, U., Gijsman, A. J., & Ritchie, J. T. (2003). The DSSAT cropping system model.
European Journal of Agronomy, 18(3), 235–265.
Kiniry, J. R., Williams, J. R., Vanderlip, R. L., Atwood, J. D., Reicosky, D. C., Mulliken, J., Cox,
W. J., Mascagni, H. J., Hollinger, S. E., & Wiebold, W. J. (1997). Evaluation of two maize
models for nine U.S. locations. Agronomy Journal, 89(3), 421–426.
Larsen, S., Jaiswal, D., Bentsen, N. S., Wang, D., & Long, S. P. (2015). Comparing predicted
yield and yield stability of willow and Miscanthus across Denmark. Global Change Biology
Bioenergy. https://doi.org/10.1111/gcbb.12318.
Lee, H. (2002). The dynamic role for carbon sequestration by the U.S. agricultural and forest sectors in greenhouse gas emission mitigation. Unpublished Ph.D. Thesis, Texas A&M University.
Liang, X. Z., Xu, M., Gao, W., Reddy, K. R., Kunkel, K., Schmoldt, D. L., & Samel, A. N. (2012a).
Physical modeling of U.S. cotton yields and climate stresses during 1979 to 2005. Agronomy
Journal, 104(3), 675–683.
15 Modeling