Cited by 28Climate change impacts on agricultureClimate variability and modelsClimate Change Policy and Economics
The DOI matches its Crossref record.
Spatial Scale Effects of Climate Scenarios on Simulated Cotton Production in the Southeastern U.S.A.
Doherty, Ruth M., Mearns, Linda O., Reddy, K. Raja, Downton, Mary W., McDaniel, Larry·2003·Climatic Change
Overview
Integrity signals
Registry
Crossref · 10.1023/a:1026030400826
Cites
Statistics
Recomputing p-values needs the paper’s full text.
Verification
Claims the paper makes
We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Allowing for [CO2] and adaptation, fiber yields increased 30% with the coarse grid and 18% with the fine grid.
“Allowing for [CO 2] and adaptation, fiber yields increased 30% with the coarse grid and 18% with the fine grid.”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as Doherty et al. (2003)
In Doherty et al. (2003) simulations, in the absence of [CO2] effects and ignoring adaptation for planting date, fiber yields decreased by 4% for a coarse-scale climate grid and by 16% for a fine-scale grid.
“In the absence of [CO2] effects and ignoring adaptation for planting date (i.e., changing the planting date from 1 May to 1 April), fiber yields decreased by 4% for a coarse-scale climate grid and by 16% for a fine-scale grid.”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as Doherty et al. (2003)
Citations
Cites
Still being checked.
Research works printed but not linked: 42
- Adams, R. M., McCarl, B. A., and Mearns, L. O.: 2003, 'The Effects of Spatial Scale of Climate Scenarios on Economic Assessments: An Example from U.S. Agriculture', Clim. Change 60, 131–148. · DOI
- Albers, D. W., Mobley, J., and Tracy, P. W.: 1992, 'Evaluation of GOSSYM-COMAX in Missouri 1987-1991', in Proc. Beltwide Cotton Conf. National Cotton Council, Memphis, Tennessee, U.S.A., pp. 1350–1351.
- Baker, D. N. and Landivar, J. A.: 1991, 'The Simulation of Plant Development in GOSSYM', in Hodges, T. (ed.), Predicting Crop Phenology, CRC Press, Boca Raton, FL, pp. 153–170.
- Boone, M. Y. L., Porter, D. O., and McKinion, J. M.: 1993, 'Calibration of GOSSYM: Theory and Practice', Comput. Electron. Agric. 9, 193–203. · DOI · Paper page
- Brown, R. A. and Rosenberg, N. J.: 1999, 'Climate Change Impacts on the Potential Productivity of Corn and Winter Wheat in their Primary United States Growing Regions', Clim. Change 41, 73–107. · DOI
- Carbone, G, Kiechle, W., Locke, C., Mearns, L. O., McDaniel, L., and Downton, M.: 2003, 'Response of Soybeans and Sorghum to Varying Spatial Scales of Climate Change Scenarios in the Southeastern United States', Clim. Change 60, 73–98. · DOI
- Dudek, D. J.: 1989, 'Climate Change Impacts upon Agriculture and Resources: A Case Study of California', in Smith, J. and Tirpak, D. (eds.), The Potential Effects of Global Climate Change on the United States, Appendix C: Agriculture, Vol. 1, EPA-230-05-89-053.
- Dugas, W. A., Heuer, M. L., Hunsaker, D., Kimball, B. A., Lewin, K. F., Nagy, J., and Johnson, M.: 1994, 'Sap Flow Measurements of Transpiration from Cotton Grown under Ambient and Enriched CO2 Concentrations', Agric. For. Meteorol. 70, 231–246. · DOI
- Easterling, W., Chhetri, N., and Niu, X.: 2003, 'Improving the Realism of Modeling Agronomic Adaptation to Climatic Change: Simulating Technological Substitution', Clim. Change 60, 149–173. · DOI
- Felzer, B. and Heard, P.: 1999, 'Precipitation Differences amongst GCMs Used for the U. S. National Assessment', J. of the American Water Resources Association 35, 1327–1339. · DOI
- Giorgi, F., Hewittson, B., Christensen. J., Hulme, M., Von Storch, H., Whetton, P., Jones, R., Mearns, L., and Fu, C.: 2001, 'Regional Climate Information-Evaluation and Projections', in Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der Linden, P. J., Dai, X., Maskell, K., and Johnson, C. A. (eds.), Climate Change 2001: The Scientific Basis, Chapter 10, Cambridge University Press, Cambridge, U.K., pp. 583–638.
- Giorgi, F., Marinucci, M. R., and Bates, G. T.: 1993, 'Development of a Second Generation Regional Climate Model (RegCM2): Boundary Layer and Radiative Transfer Processes', Mon. Wea. Rev. 121, 2794–2813. · DOI
- Giorgi, F., Mearns, L. O., Shields, C., and McDaniel, L.: 1998, 'Regional Nested Model Simulations of Present Day and 2 × CO2 Climate over the Central Plains of the U.S.', Clim. Change 40, 457–493. · DOI
- Gitay, H., Brown, S., Easterling, W., and Jallow, B.: 2001, 'Ecosystems and their Goods and Services', in McCarthy, J. J., Canziani, O. F., Leary, N. A., Dokken, D. J., and White, K. S. (eds.), Climate Change 2001: Impacts, Adaptation and Vulnerability, Chapter 5, pp. 234–342.
- Hearn, A. B.: 1994, 'OZCOT: A Simulation Model for Cotton Crop Management', Agric. Sys. 44, 257–259. · DOI · Paper page
- Hodges, H. F., Whisler, F. D., Bridges, S. M., Reddy, K. R., and McKinion, J. M.: 1998, 'Simulation in Crop Management: GOSSYM/COMAX', in Peart R. M. and Curry, A. B. (eds.), Agricultural Systems Modeling and Simulation, Marcel Dekker Inc., New York, U.S.A., pp. 235–281.
- Hunsaker, D. J., Hendrey, G. R., Kimball, B.A., Lewin, K. F., Mauney, J. R., and Nagy, J.: 1994, 'Cotton Evapotranspiration under Field Conditions with CO2 Enrichment and Variable Soil Moisture Regimes', Agric. For. Meteorol. 70, 247–258. · DOI
- Jackson, B. S., Arkin, G. F., and Hearn, A. B.: 1998, 'The Cotton Simulation Model “COTTAM”: Fruiting Model Calibration and Testing', Transactions of the ASAE 31, 846–854. · DOI · Paper page
- Kimball, B. A., LaMorte, R. L., Seay, R. S., Pinter, P. J. Jr., Rokey, R. R., Hunsaker, D. J., Dugas, W. A., Heuer, M. L., Mauney, J. R., Hendrey, G. R., Lewin, K. F., and Nagy, J.: 1994, 'Effects of Free-Air CO2 Enrichment on Energy Balance and Evapotranspiration of Cotton', Agric. For. Meteorol. 70, 259–278. · DOI
- Kimball, B. A. and Mauney, J. R.: 1993, 'Response of Cotton to Varying CO2, Irrigation, and Nitrogen: Yyield and Growth', Agron. J. 85, 706–712. · DOI
- Mearns, L. O., Carbone, G., Doherty, R. M., Tsvetsinskaya, E. A., McCarl, B. A., Adams, R. M., and McDaniel, L.: 2003a, The Uncertainty Due to Spatial Scale of Climate Scenarios in Integrated Assessments: An Example from U.S. Agriculture, Integrated Assessment, accepted. · DOI
- Mearns, L. O., Carbone, G., Gao, W., McDaniel, L., Tsvetsinskaya, E., McCarl, B., and Adams, R.: 2000, 'The Issue of Spatial Scale in Integrated Assessments: An Example of Agriculture in the Southeastern U.S.', in Preprints of the 80th AMS Annual Meeting, 11th Symposium on Global Change Studies, January 9-14, 2000, Long Beach, CA, American Meteorological Society, Boston, pp. 38–41.
- Mearns, L. O., Easterling, W., and Hays, C.: 2001, 'Comparison of Agricultural Impacts of Climate Change Calculated from High and Low Resolution Climate Model Scenarios: Part I: The Uncertainty Due to Spatial Scale', Clim. Change 51, 131–172. · DOI
- Mearns, L. O., Giorgi, F., McDaniel, L., and Shields, C.: 2003b, 'Climate Scenarios for the Southeastern U.S. Based on GCM and Regional Model Simulations', Clim. Change 60, 7–35. · DOI
- Mearns L. O, Hulme, M., Carter, T. R., Leemans, R., Lal, M., and Whetton, P.: 2001, 'Climate Scenario Development', in Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der Linden, P. J., Dai, X., Maskell, K., and Johnson, C. A. (eds.), Climate Change 2001: The Scientific Basis, Chapter 13, Cambridge University Press, Cambridge, U.K., pp. 739–768.
- Mearns, L. O., Mavromatis, T., Tsvetsinskaya, E., Hays, C., and Easterling, W.: 1999, 'Comparative Response of EPIC and CERES Crop Models to High and Low Resolution Climate Change Scenarios', J. Geophys. Res. 104, 6623–6646. · DOI
- Pinter, P. J. Jr., Kimball, B. A., Garcia, R. L., Wall, G. W., Hunsaker, D. J., and LaMorte, R. L.: 1996, 'Free-Air CO2 Enrichment: Responses of Cotton and Wheat Crops', in Koch, G. W. and Mooney, H. A. (eds.), Carbon Dioxide and Terrestrial Ecosystems, Academic Press, San Diego, CA, pp. 215–249. · DOI
- Plant, R. E.: 1989, 'An Integrated Decision Support System for Agricultural Management', Agric. Sys. 29, 49–66. · DOI
- Reddy, K. R., Boone, M. Y. L., Reddy, V. R., Hodges, H. F., Turner, S., and McKinion, J. M.: 1995, 'Developing and Validating a Model for a Plant Growth Regulator', Agron. J. 87, 1100–1105. · DOI
- Reddy, K. R. and Boone, M. Y. L.: 2001, 'Modeling and Validating Cotton Leaf Area Development and Stem Elongation', Acta Horticulturae 593, 193–199.
- Reddy, K. R., Doma, P. R., Mearns, L. O., Bonne, M. Y. L., Hodges, H. F., Richardson, A. G., and Kakani, V. G.: 2002, 'Simulating the Impacts of Climate Change on Cotton Production in the Mississippi Delta', Clim. Res. 22, 271–281. · DOI
- Reddy, K. R., Hodges, H. F., and Kimball, B. A.: 2000, 'Crop Ecosystem Responses to Global Climate Change: Cotton', in Reddy, K. R. and Hodges, H. F. (eds.), Climate Change and Global Crop Productivity, Chapter 8, CAB International, U.K., pp. 161–187. · DOI
- Reddy, K. R., Hodges, H. F., and McKinion, J. M.: 1997a, 'Crop Modeling and Applications: A Cotton Example', in Sparks, D. L. (ed.), Advances in Agronomy, Vol. 59, Academic Press, San Diego, CA, pp. 225–290.
- Reddy, K. R., Hodges, H. F., and McKinion, J. M.: 1997b, 'Modeling Temperature Effects on Cotton Internode and Leaf Growth', Crop Science 37, 503–509. · DOI
- Reddy, K. R., Hodges, H. F., and McKinion, J. M.: 1997c, 'A Comparison of Scenarios for the Effect of Global Climate Change on Cotton Growth and Yield', Aust. J. Plant Physiol. 24, 707–713.
- Reddy, V. R., Baker, D. N., and Jenkins, J. N.: 1985, 'Validation of GOSSYM: Part II-Mississippi Conditions', Agric. Sys. 17, 133–154. · DOI
- Reilly, J. M. and U.S. National Assessment Agriculture Sector Team: 2001, Agriculture: The Potential Consequences of Climate Variability and Change for the United States, Cambridge University Press, Cambridge, U.K., 136 pp.
- Staggenborg, S. A., Lascano, R. J., and Krieg, D. R.: 1996, 'Determining Cotton Water Use in a Semiarid Climate with the GOSSYM Cotton Simulation Model', Agron. J. 88, 127–132. · DOI
- Tsvetsinskaya, E., Mearns, L. O., Mavromatis, T., Gao, W., McDaniel, L., and Downton, M.: 2003, 'The Effect of Spatial Scale of Climatic Change Scenarios on the SimulatedMaize,WinterWheat and Rice Production in the Southeastern United States', Clim. Change 60, 37–71. · DOI
- Wall, G.W., Amthor, J. S., and Kimball, B. A.: 1994, 'COTCO2: A Cotton Growth SimulationModel for Global Change', Agric. For. Meteorol. 70, 289–342. · DOI · Paper page
- Watterson, I. G., O'Farrell, S. P., and Dix, M. R.: 1997, 'Energy and Water Transport in Climates Simulated by a General Circulation Model that Includes Dynamical Sea-Ice', J. Geophy. Res. 102, 11027–11037. · DOI
- Zeng, W. and Heilman, J. L.: 1997, 'Sensitivity of Evapotranspiration of Cotton and Sorghum in West Texas to Changes in Climate and CO2', Theor. Appl. Climatol. 57, 245–254. · DOI
Cited by
Sorted by citations
Regional climate change projections for the Northeast USA
Hayhoe, K., Wake, C., Anderson, B., Liang, X.-Z., Maurer, E., Zhu, J., Bradbury, J., DeGaetano, A., Stoner, A. M., & Wuebbles, D. (2008) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-007-9133-2 · Cited by 269
Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., et al. (2014) · Journal of Cotton Science · doi:10.56454/oovc6073 · Cited by 96
Self-citation
Metadata
- Authors
- Doherty, R. M., Mearns, L. O., Reddy, K. R., Downton, M. W., & McDaniel, L.
- Affiliations
- NSF National Center for Atmospheric Research (US)
- Mississippi State University (US)
- Corresponding author
- Doherty, Ruth M.
- Venue
- Climatic Change
- Published
- 2003-09
- Volume
- 60
- Issue
- 1-2
- Pages
- 99-129
- ISSN
- 0165-0009 (ISSN-L)
- 1573-1480
- OpenAlex
- W4251458200
- Cited by
- 28
- References
- 0
- Citations by year
- 2026: 1 · 2025: 2 · 2022: 1 · 2021: 1 · 2020: 2 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 1 · 2012: 1
- FWCI
- 3.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Climatic Change (publishedVersion)
- Funders
- U.S. Environmental Protection Agency
- Mississippi State University
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- cotton yield, climate change scenarios, global climate models, regional climate model, elevated CO2, climate change adaptation, irrigation, rainfed agriculture, water stress, southeastern United States
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
