Your search found 16 records
1 Stockle, C. O.; James, L. G. 1989. Analysis of deficit irrigation strategies for corn using crop growth simulation. Irrigation Science, 10(2):85-98.
(Location: IWMI-HQ Call no: PER Record No: H05510)
2 Stockle, C. O.; James, L. G.; Bassett, D. L.; Saxton, K. E. 1991. Effect of evapotranspiration underprediction on irrigation scheduling and yield of corn: A simulation study. Agricultural Water Management, 19(2):167-179.
(Location: IWMI-HQ Call no: PER Record No: H07589)
3 Arnold, J. G.; Stockle, C. O.. 1991. Simulation of supplemental irrigation from on-farm ponds. Journal of Irrigation and Drainage Engineering, 117(3):408-424.
(Location: IWMI-HQ Call no: PER Record No: H08273)
4 Stockle, C. O.; Dugas, W. A. 1992. Evaluating canopy temperature-based indices for irrigation scheduling. Irrigation Science, 13(1):31-37.
(Location: IWMI-HQ Call no: PER Record No: H010173)
5 Stockle, C. O.; Martin, S. A.; Campbell, G. S. 1994. CropSyst, a cropping systems simulation model: Water/nitrogen budgets and crop yield. Agricultural Systems, 46(3):335-359.
(Location: IWMI-HQ Call no: PER Record No: H015027)
6 Annandale, J. G.; Stockle, C. O.. 1994. Fluctuation of crop evapotranspiration coefficients with weather: A sensitivity analysis. Irrigation Science, 15(1):1-7.
(Location: IWMI-HQ Call no: PER Record No: H015382)
7 Majeed, A.; Stockle, C. O.; King, L. G. 1994. Computer model for managing saline water for irrigation and crop growth: Preliminary testing with lysimeter data. Agricultural Water Management, 26(4):239-251.
Computer models ; Salinity control ; Lysimetry ; Irrigation water ; Crop production ; Plant growth ; Simulation / USA / California
(Location: IWMI-HQ Call no: PER Record No: H015873)
8 Ferrer, F.; Stockle, C. O.. 1996. A model for assessing crop response and water management in saline conditions. In International Commission on Irrigation and Drainage (ICID); FAO. Irrigation scheduling: from theory to practice. Proceedings of the ICID/FAO Workshop on Irrigation Scheduling, Rome, Italy, 12-13 September 1995. Rome, Italy: FAO. pp.167-176. (FAO Water Reports 8)
Simulation models ; Water management ; Salinity ; Plant growth ; Soil-water-plant relationships ; Water stress ; Crop yield
(Location: IWMI HQ Call no: 631.7.1 G000 FAO Record No: H018152)
9 Kjelgaard, J. F.; Stockle, C. O.; Evans, R. G. 1996. Accuracy of canopy temperature energy balance for determining daily evapotranspiration. Irrigation Science, 16(4):149-157.
(Location: IWMI-HQ Call no: PER Record No: H018679)
10 Stockle, C. O.. 1991. Crop simulation modeling for on-farm irrigation management. In Ritter, W. F. (Ed.), Irrigation and drainage: Proceedings of the 1991 National Conference sponsored by the Irrigation and Drainage Division of the American Society of Civil Engineers and the Hawaii Section, ASCE, Honolulu, Hawaii, July 22-26, 1991. New York, NY, USA: ASCE. pp.283-289.
Irrigation management ; Simulation models ; Crop production ; Evapotranspiration ; Soil water ; Water budget ; Water balance ; Estimation ; Irrigated farming
(Location: IWMI-HQ Call no: 631.7 G430 RIT Record No: H019891)
Crop models that estimate crop productivity in response to soil water offer potential for on-farm irrigation management. Useful models must produce accurate estimates of the soil water balance with minimal computation time. In this paper, soil water balance components of simulation models of different levels of complexity are briefly described. Applications of crop models for irrigation management are discussed.
11 Stockle, C. O.; Kjelgaard, J. 1996. Parameterizing Penman-Monteith surface resistance for estimating daily crop ET. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.697-703.
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020649)
12 Stockle, C. O.; Cabelguenne, M.; Debaeke, P. 1997. Comparison of CropSyst performance for water management in southwestern France using submodels of different levels of complexity. European Journal of Agronomy, 7:89-98.
Water management ; Simulation models ; Evapotranspiration ; Cropping systems ; Fertilizers ; Water use ; Irrigation water ; Maize ; Soyabeans ; Sorghum / France / Toulouse / Auzeville
(Location: IWMI-HQ Call no: P 4981 Record No: H023739)
13 Stockle, C. O.; Jara, J. 1998. Modeling transpiration and soil water content from corn (Zea Maize L.) field: 20 min vs. daytime integration step. Agricultural and Forest Meteorology, 92:119-130.
Soil water ; Maize ; Plant growth ; Simulation models ; Infiltration ; Evapotranspiration ; Irrigated farming ; Bowen ratio / USA
(Location: IWMI-HQ Call no: P 5196 Record No: H024688)
14 Ferrer-Alegre, F.; Stockle, C. O.. 1999. A model for assessing crop response to salinity. Irrigation Science, 19(1):15-23.
(Location: IWMI-HQ Call no: PER Record No: H025346)
15 Stockle, C. O.. 2001. Environmental impact of irrigation: A review. Washington State University E-Water Newsletter, 4:1-15.
Environmental effects ; Irrigated farming ; Salinity ; Irrigation operation ; Waterlogging ; Runoff ; Groundwater ; Public health ; Policy
(Location: IWMI-HQ Call no: P 7173 Record No: H036363)
16 Khanal, R.; Brady, M. P.; Stockle, C. O.; Rajagopalan, K.; Yoder, J.; Barber, M. E. 2021. The economic and environmental benefits of partial leasing of agricultural water rights. Water Resources Research, 57(11):e2021WR029712. [doi: https://doi.org/10.1029/2021WR029712]
Agriculture ; Water rights ; Economic benefits ; Environmental factors ; Watersheds ; River basins ; Stream flow ; Water market ; Irrigation water ; Crop production ; Biomass production ; Evapotranspiration ; Models / USA / Washington / Walla Walla River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050766)
https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2021WR029712
https://vlibrary.iwmi.org/pdf/H050766.pdf
https://vlibrary.iwmi.org/pdf/H050766.pdf
(2.92 MB) (2.92 MB)
Balancing out-of-stream water demands and ecological instream flows is a difficult challenge in watershed-scale management. Many watersheds already experience acute and chronic water shortages during average runoff years and may face more frequent and severe droughts in some locations due to climate and demographic change. Water markets may mitigate the economic consequences of shortages, but their potential is limited by the prevalence of all-or-nothing irrigate-or-fallow crop water use strategies. Irrigation water generally provides diminishing returns for crop productivity, so it may be possible to reduce water application at the margin with only a small loss in crop production, creating water savings that could be leased for other uses. We explore this scenario by combining a crop growth and hydrology (CropSyst) model with an economic model of farm profits and water trading, and apply it to the Walla Walla Basin in Washington State. Our results suggest that partial leasing of water rights through a deficit-irrigation strategy could economically benefit annual crop growers while meaningfully increasing water availability for stream flow augmentation.
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