A model-independent open-source geospatial tool for managing point-based environmental model simulations at multiple spatial locations

Environmental Modelling and Software

Volumn 50, Issue , 2013, Pages 25-36

  Thorp, K R ^a   Bronson, K F ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

Cotton; GIS; Model; Plug in; Python; Quantum; Simulation; Spatial; Yield

Indexed keywords

PLUG-INS; PYTHON; QUANTUM; SIMULATION; SPATIAL; YIELD;

COMPUTER SOFTWARE; COTTON; GEOGRAPHIC INFORMATION SYSTEMS; GRAPHICAL USER INTERFACES; MODELS; TOOLS;

COMPUTER SIMULATION;

AGRICULTURAL MANAGEMENT; AGRICULTURAL TECHNOLOGY; CROP YIELD; CROPPING PRACTICE; DATA SET; DATABASE; GIS; NUMERICAL MODEL; PARAMETERIZATION; SIMULATION;

EID: 84884705547     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.09.002     Document Type: Article

References (37)

1. Allen R.G., Pereira L.S., Raes D., Smith M. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements 1998, (FAO Irrigation and Drainage Paper 56), Food and Agriculture Organization of the United Nations, Rome, Italy.
2. Arnold J., Moriasi D., Gassman P., Abbaspour K., White M., Srinivasan R., Santhi C., Harmel R., Van Griensven A., Van Liew M., Kannan N., Jha M. SWAT: model use, calibration, and validation. Trans. ASABE 2012, 55(4):1491-1508.
3. Bandaranayake W., Qian Y., Parton W., Ojima D., Follett R. Estimation of soil organic carbon changes in turfgrass systems using the CENTURY model. Agron. J. 2003, 95(3):558-563.
4. Batchelor W.D., Basso B., Paz J.O. Examples of strategies to analyze spatial and temporal yield variability using crop models. Eur. J. Agron. 2002, 18(2):141-158.
5. Battaglia M., Sands P. Process-based forest productivity models and their application in forest management. For. Ecol. Manag. 1998, 102(1):13-32.
6. Brisson N., Gary C., Justes E., Roche R., Mary B., Ripoche D., Zimmer D., Sierra J., Bertuzzi P., Burger P., Bussière F., Cabidoche Y., Cellier P., Debaeke P., Gaudillère J., Hénault C., Maraux F., Seguin B., Sinoquet H. An overview of the crop model STICS. Eur. J. Agron. 2003, 18(3-4):309-332.
7. Bronson K., Booker J., Bordovsky J., Keeling J., Wheeler T., Boman R., Parajulee M., Segarra E., Nichols R. Site-specific irrigation and nitrogen management for cotton production in the Southern High Plains. Agron. J. 2006, 98(1):212-219.
8. Bryan B. High-performance computing tools for the integrated assessment and modelling of social-ecological systems. Environ. Model. Softw. 2013, 39:295-303.
9. Chen D.Y., Shams S., Carmona Moreno C., Leone A. Assessment of open source GIS software for water resources management in developing countries. J.Hydro-environ. Res. 2010, 4(3):253-264.
10. Doherty J. PEST: Model-Independent Parameter Estimation. User Manual 2005, Watermark Numerical Computing, Brisbane, Australia. fifth ed.
11. Engel T., Hoogenboom G., Jones J.W., Wilkens P.W. AEGIS/WIN: a computer program for the application of crop simulation models across geographic areas. Agron. J. 1997, 89(6):919-928.
12. Feng M., Liu S., Euliss N., Young C., Mushet D. Prototyping an online wetland ecosystem services model using open model sharing standards. Environ. Model. Softw. 2011, 26(4):458-468.
13. Giltrap D., Li C., Saggar S. DNDC: a process-based model of greenhouse gas fluxes from agricultural soils. Agric. Ecosyst. Environ. 2010, 136(3-4):292-300.
14. Hartkamp A.D., White J.W., Hoogenboom G. Interfacing geographic information systems with agronomic modeling: a review. Agron. J. 1999, 91(5):761-772.
15. Ito A., Inatomi M. Use of a process-based model for assessing the methane budgets of global terrestrial ecosystems and evaluation of uncertainty. Biogeosciences 2012, 9(2):759-773.
16. Jaynes D.B., Colvin T.S. Spatiotemporal variability of corn and soybean yield. Agron. J. 1997, 89(1):30-37.
17. Jones J.W., Hoogenboom G., Porter C.H., Boote K.J., Batchelor W.D., Hunt L.A., Wilkens P.W., Singh U., Gijsman A.J., Ritchie J.T. The DSSAT cropping system model. Eur. J. Agron. 2003, 18(3-4):235-265.
18. Keating B.A., Carberry P.S., Hammer G.L., Probert M.E., Robertson M.J., Holzworth D., Huth N.I., Hargreaves J.N.G., Meinke H., Hochman Z., McLean G., Verburg K., Snow V., Dimes J.P., Silburn M., Wang E., Brown S., Bristow K.L., Asseng S., Chapman S., McCown R.L., Freebairn D.M., Smith C.J. An overview of APSIM, a model designed for farming systems simulation. Eur. J. Agron. 2003, 18(3-4):267-288.
19. McCarthy A.C., Hancock N.H., Raine S.R. VARIwise: a general-purpose adaptive control simulation framework for spatially and temporally varied irrigation at sub-field scale. Comput. Electron. Agric. 2010, 70(1):117-128.
20. McKinion J., Jenkins J., Akins D., Turner S., Willers J., Jallas E., Whisler F. Analysis of a precision agriculture approach to cotton production. Comput. Electron. Agric. 2001, 32(3):213-228.
21. Miller S., Semmens D., Goodrich D., Hernandez M., Miller R., Kepner W., Guertin D. The automated geospatial watershed assessment tool. Environ. Model. Softw. 2007, 22(3):365-377.
22. Overgaard J., Rosbjerg D., Butts M. Land-surface modelling in hydrological perspective - a review. Biogeosciences 2006, 3(2):229-241.
23. Raes D., Steduto P., Hsiao T., Fereres E. Aquacrop - the FAO crop model to simulate yield response to water: II. main algorithms and software description. Agron. J. 2009, 101(3):438-447.
24. 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(8):745-753.
25. Reed S., Boggs J., Mann J. AGIS tool for modeling anthropogenic noise propagation in natural ecosystems. Environ. Model. Softw. 2012, 37:1-5.
26. Resop J., Fleisher D., Wang Q., Timlin D., Reddy V. Combining explanatory crop models with geospatial data for regional analyses of crop yield using field-scale modeling units. Comput. Electron. Agric. 2012, 89:51-61.
27. ++. Environ. Model. Softw. 2010, 25(10):1197-1207.
28. Schaap M.G., Leij F.J., van Genuchten M.T. ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. J.Hydrol. 2001, 251(3-4):163-176.
29. Shen J., Parker A., Riverson J. Anew approach for a Windows-based watershed modeling system based on a database-supporting architecture. Environ. Model. Softw. 2005, 20(9):1127-1138.
30. Steduto P., Hsiao T., Raes D., Fereres E. Aquacrop - the FAO crop model to simulate yield response to water: I. concepts and underlying principles. Agron. J. 2009, 101(3):426-437.
31. Steiniger S., Bocher E. An overview on current free and open source desktop GIS developments. Int. J. Geogr. Inf. Sci. 2009, 23(10):1345-1370.
32. Thorp K.R., White J.W., Porter C.H., Hoogenboom G., Nearing G.S., French A.N. Methodology to evaluate the performance of simulation models for alternative compiler and operating system configurations. Comput. Electron. Agric. 2012, 81(1):62-71.
33. Thorp K.R., Batchelor W.D., Paz J.O., Kaleita A.L., DeJonge K.C. Using cross-validation to evaluate CERES-Maize yield simulations within a decision support system for precision agriculture. Trans. ASABE 2007, 50(4):1467-1479.
34. Thorp K.R., Batchelor W.D., Paz J.O., Steward B.L., Caragea P.C. Methodology to link production and environmental risks of precision nitrogen management strategies in corn. Agric. Syst. 2006, 89(2-3):272-298.
35. Thorp K.R., DeJonge K.C., Kaleita A.L., Batchelor W.D., Paz J.O. Methodology for the use of DSSAT models for precision agriculture decision support. Comput. Electron. Agric. 2008, 64(2):276-285.
36. Thorp K.R., Jaynes D.B., Malone R.W. Simulating the long-term performance of drainage water management across the midwestern United States. Trans. ASABE 2008, 51(3):961-976.
37. Xiao X., Hollinger D., Aber J., Goltz M., Davidson E., Zhang Q., Moore B. Satellite-based modeling of gross primary production in an evergreen needle leaf forest. Remote Sens. Environ. 2004, 89(4):519-534.