Simulation of evapotranspiration and yield of maize: An Inter-comparison among 41 maize models

被引:10
|
作者
Kimball, Bruce A. [1 ]
Thorp, Kelly R. [1 ]
Boote, Kenneth J. [2 ]
Stockle, Claudio [3 ]
Suyker, Andrew E. [4 ]
Evett, Steven R. [5 ]
Brauer, David K. [5 ]
Coyle, Gwen G. [5 ]
Copeland, Karen S. [5 ]
Marek, Gary W. [5 ]
Colaizzi, Paul D. [5 ]
Acutis, Marco [6 ]
Alimagham, Seyyedmajid [7 ]
Archontoulis, Sotirios [8 ,12 ,13 ]
Babacar, Faye [9 ]
Barcza, Zoltan [10 ,11 ]
Basso, Bruno [12 ,13 ]
Bertuzzi, Patrick [14 ]
Constantin, Julie [15 ]
Migliorati, Massimiliano De Antoni [16 ]
Dumont, Benjamin [17 ]
Durand, Jean-Louis [18 ]
Fodor, Nandor [11 ,19 ]
Gaiser, Thomas [14 ]
Garofalo, Pasquale [15 ]
Gayler, Sebastian [16 ]
Giglio, Luisa [21 ]
Grant, Robert [23 ]
Guan, Kaiyu [24 ]
Hoogenboom, Gerrit [2 ]
Jiang, Qianjing [25 ]
Kim, Soo-Hyung [26 ]
Kisekka, Isaya [27 ,28 ,29 ]
Lizaso, Jon [30 ]
Masia, Sara [31 ]
Meng, Huimin [32 ]
Mereu, Valentina [33 ]
Mukhtar, Ahmed [34 ,35 ]
Perego, Alessia [6 ]
Peng, Bin [24 ]
Priesack, Eckart [36 ]
Qi, Zhiming [25 ]
Shelia, Vakhtang [2 ]
Snyder, Richard [37 ]
Soltani, Afshin [7 ]
Spano, Donatella [33 ]
Srivastava, Amit [20 ]
Thomson, Aimee [38 ]
Timlin, Dennis [39 ]
Trabucco, Antonio [33 ]
机构
[1] USDA ARS, US Arid Land Agr Res Ctr, Maricopa, AZ 85138 USA
[2] Univ Florida, Agr & Biol Engn, Frazier Rogers Hall, Gainesville, FL 32611 USA
[3] Washington State Univ, Biol Syst Engn, 1935 E Grimes Way,POB 646120, Pullman, WA 99164 USA
[4] Univ Nebraska Lincoln, Sch Nat Resources, Lincoln, NE USA
[5] USDA ARS, Conservat & Prod Res Lab, Bushland, TX USA
[6] Univ Milan, Dept Agr & Environm Sci, Via Celoria 2, I-20133 Milan, Italy
[7] Gorgan Univ Agr Sci & Nat Resour, Agron Grp, Gorgan 4913815739, Iran
[8] Iowa State Univ, Dept Agron, Ames, IA 50010 USA
[9] Inst Rech Dev IRD ESPACE DEV, F-34093 Montpellier, France
[10] Eotvos Lorand Univ, Dept Meteorol, H-1192 Budapest, Hungary
[11] Czech Univ Life Sci Prague, Fac Forestry & Wood Sci, Prague 16521, Czech Republic
[12] Michigan State Univ, Dept Geol Sci, 288 Farm Ln,307 Nat Sci Bldg, E Lansing, MI 48824 USA
[13] WK Kellogg Biol Stn, 288 Farm Ln,307 Nat Sci Bldg, E Lansing, MI 48824 USA
[14] INRAE, US1116 AgroClim, Ctr Rech Provence Alpes Cote Azur, 228 Route Aerodrome,CS 40 509,Site Agroparc, F-84914 Avignon 9, France
[15] Univ Toulouse, AGIR, INRAE, INPT,INP EI PURPAN, 24 Chemin Borde Rouge Auzeville CS 52627, Castanet Tolosan, France
[16] Queensland Dept Environm & Sci, Brisbane, Qld, Australia
[17] Univ Liege, TERRA Teaching & Res Ctr, Plant Sci Axis Crop Sci Lab, ULiege GxABT,Gembloux Agrobio Tech, B-5030 Gembloux, Belgium
[18] INRAE, Unite Rech Pluridisciplinaire Prairies & Plantes, F-86600 Lusignan, France
[19] Ctr Agr Res, Agr Inst, Brunszvik U 2, H-2462 Martonvasar, Hungary
[20] Univ Bonn, Inst Crop Sci & Resource Conservat, Katzenburgweg 5, D-53115 Bonn, Germany
[21] CREA AA, Agr & Environm Res Ctr, Council Agr Res & Econ, Via Celso Ulpiani 5, I-70125 Bari, BA, Italy
[22] Univ Hohenheim, Inst Soil Sci & Land Evaluat, Biogeophys, Emil Wolff Str 27, D-70593 Stuttgart, Germany
[23] Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2E3, Canada
[24] Univ Illinois, Coll Agr Consumer & Environm Sci ACES, Urbana, IL 61801 USA
[25] McGill Univ, Dept Bioresource Engn, Macdonald Campus,1-024 Macdonald Steward Hall, Ste Anne De Bellevue, PQ H9X 3V9, Canada
[26] Univ Washington, Sch Environm & Forest Sci 25, Seattle, WA 98195 USA
[27] Univ Calif Davis, Agr Water Management & Irrigat Engn, One Shields Ave,PES 1110, Davis, CA 95616 USA
[28] Univ Calif Davis, Dept Land Air & Water Resources, One Shields Ave,PES 1110, Davis, CA 95616 USA
[29] Univ Calif Davis, Dept Biol & Agr Engn, One Shields Ave,PES 1110, Davis, CA USA
[30] Tech Univ Madrid UPM, Dept Prod Agr CEIGRAM, Ciudad Univ, Madrid 28040, Spain
[31] IHE Delft Inst Water Educ, Land & Water Management Dept, Delft, Netherlands
[32] China Agr Univ, Ctr Agr Water Res, Beijing, Peoples R China
[33] Fdn CMCC Euro Mediterranean Ctr Climate Change, Impacts Agr Forests & Ecosyst Serv Div IAFES, Sassari, Italy
[34] PMAS Arid Agr Univ, Dept Agron, Rawalpindi, Pakistan
[35] Swedish Univ Agr Sci, Umea, Sweden
[36] Helmholtz Ctr Munich, Inst Biochem Plant Pathol, Ingolstaedter Landstr 1, D-85764 Neuherberg, Germany
[37] Univ Calif Davis, Davis, CA USA
[38] Univ Pretoria, Pretoria, South Africa
[39] USDA ARS, Crop Syst & Global Change Res Unit, Beltsville, MD USA
[40] Leibniz Ctr Agr Landscape Res ZALF, D-15374 Mucheberg, Germany
[41] FitzRoy, Hadley Ctr, Rd Exeter, Exeter EX1 3PB, Devon, England
[42] Univ Exeter, Global Syst Inst, North Pk Rd, Exeter EX4 4QE, England
关键词
Maize; Simulation; Evapotranspiration; Water use; Crop models; Yield; CROP MODELS; IRRIGATED MAIZE; BARE SOIL; WATER; EVAPORATION; UNCERTAINTY; TEMPERATURE; SYSTEM; ENERGY; CORN;
D O I
10.1016/j.agrformet.2023.109396
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Accurate simulation of crop water use (evapotranspiration, ET) can help crop growth models to assess the likely effects of climate change on future crop productivity, as well as being an aid for irrigation scheduling for today's growers. To determine how well maize (Zea mays L.) growth models can simulate ET, an initial inter-comparison study was conducted in 2019 under the umbrella of AgMIP (Agricultural Model Inter-Comparison and Improvement Project). Herein, we present results of a second inter-comparison study of 41 maize models that was conducted using more comprehensive datasets from two additional sites -Mead, Nebraska, USA and Bushland, Texas, USA. There were 20 treatment-years with varying irrigation levels over multiple seasons at both sites. ET was measured using eddy covariance at Mead and using large weighing lysimeters at Bushland. A wide range in ET rates was simulated among the models, yet several generally were able to simulate ET rates adequately. The ensemble median values were generally close to the observations, but a few of the models sometimes performed better than the median. Many of the models that did well at simulating ET for the Mead site did poorly for drier, windy days at the Bushland site, suggesting they need to improve how they handle humidity and wind. Additional variability came from the approaches used to simulate soil water evaporation. Fortunately, several models were identified that did well at simulating soil water evaporation, canopy transpiration, biomass accumulation, and grain yield. These models were older and have been widely used, which suggests that a larger number of users have tested these models over a wider range of conditions leading to their improvement. These revelations of the better approaches are leading to model improvements and more accurate simulations of ET.
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页数:22
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