Crop models; Maize; Prediction; Simulation; Soil heat flux; Soil temperature; Forestry; Global and Planetary Change; Agronomy and Crop Science; Atmospheric Science
Abstract :
[en] Accurate simulation of soil temperature can help improve the accuracy of crop growth models by improving the predictions of soil processes like seed germination, decomposition, nitrification, evaporation, and carbon sequestration. To assess how well such models can simulate soil temperature, herein we present results of an inter-comparison study of 33 maize (Zea mays L.) growth models. Among the 33 models, four of the modeling groups contributed results using differing algorithms or “flavors” to simulate evapotranspiration within the same overall model family. The study used comprehensive datasets from two sites - Mead, Nebraska, USA and Bushland, Texas, USA wherein soil temperature was measured continually at several depths. The range of simulated soil temperatures was large (about 10–15 °C) from the coolest to warmest models across whole growing seasons from bare soil to full canopy and at both shallow and deeper depths. Within model families, there were no significant differences among their simulations of soil temperature due to their differing evapotranspiration method “flavors”, so root-mean-square-errors (RMSE) were averaged within families, which reduced the number of soil temperature model families to 13. The model family RMSEs averaged over all 20 treatment-years and 2 depths ranged from about 1.5 to 5.1 °C. The six models with the lowest RMSEs were APSIM, ecosys, JULES, Expert-N, SLFT, and MaizSim. Five of these best models used a numerical iterative approach to simulate soil temperature, which entailed using an energy balance on each soil layer. whereby the change in heat storage during a time step equals the difference between the heat flow into and that out of the layer. Further improvements in the best models for simulating soil temperature might be possible with the incorporation of more recently improved routines for simulating soil thermal conductivity than the older routines now in use by the models.
Disciplines :
Agriculture & agronomy
Author, co-author :
Kimball, Bruce A. ; U.S. Arid-Land Agricultural Research Center, USDA-ARS, Maricopa, United States
Thorp, Kelly R. ; U.S. Arid-Land Agricultural Research Center, USDA-ARS, Maricopa, United States
Boote, Kenneth J.; University of Florida, Agricultural and Biological Engineering, Frazier Rogers Hall, Gainesville, United States
Stockle, Claudio; Biological Systems Engineering, Washington State University, Pullman, United States
Suyker, Andrew E.; School of Natural Resources, University of Nebraska-Lincoln, Lincoln, United States
Evett, Steven R. ; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Brauer, David K.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Coyle, Gwen G.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Copeland, Karen S. ; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Marek, Gary W.; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Colaizzi, Paul D. ; Conservation and Production Research Laboratory, USDA-ARS, Bushland, United States
Acutis, Marco; Department of Agricultural and Environmental Sciences, University of Milan, Milan, Italy
Archontoulis, Sotirios; Iowa State University, Department of Agronomy, Ames, United States
Babacar, Faye; Université du Sine Saloum El Hadj Ibrahima NIASS, Kaolack, Senegal
Barcza, Zoltán; ELTE Eötvös Loránd University, Department of Meteorology, Budapest, Hungary ; Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Prague, Czech Republic
Basso, Bruno; Michigan State University, Dept. Geological Sciences and W.K. Kellogg Biological Station, East Lansing, United States
Bertuzzi, Patrick; US1116 AgroClim, INRAE centre de recherche Provence-Alpes-Côte d'Azur, 228, route de l'Aérodrome, CS 40 509, Domaine Saint Paul, Site Agroparc, France
Migliorati, Massimiliano De Antoni; Queensland Department of Environment & Science, Australia
Dumont, Benjamin ; Université de Liège - ULiège > TERRA Research Centre > Plant Sciences
Durand, Jean-Louis ; Unité de Recherches Pluridisciplinaire Prairies et Plantes Fourragères, INRAE, Lusignan, France
Fodor, Nándor; Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences, Prague, Czech Republic ; Agricultural Institute, Centre for Agricultural Research, Hungary
Gaiser, Thomas; Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
Gayler, Sebastian; Universität Hohenheim, Institute of Soil Science and Land Evaluation, Biogeophysics, Stuttgart, Germany
Grant, Robert ; Department of Renewable Resources, University of Alberta, Edmonton, Canada
Guan, Kaiyu; College of Agricultural, Consumer and Environmental Sciences (ACES), University of Illinois at Urbana-Champaign, Urbana, United States
Hoogenboom, Gerrit ; University of Florida, Agricultural and Biological Engineering, Frazier Rogers Hall, Gainesville, United States
Jiang, Qianjing; Department of Bioresource Engineering, Macdonald Campus, McGill University, Sanite-Anne-de-Bellevue, Canada
Kim, Soo-Hyung ; School of Environmental and Forest Sciences, University of Washington, United States
Kisekka, Isaya ; Agricultural Water Management and Irrigation Engineering, University of California Davis, Departments of Land, Air, and Water Resources and of Biological and Agricultural Engineering, Davis, United States
Lizaso, Jon; Technical University of Madrid (UPM), Dept. Producción Agraria-CEIGRAM, Ciudad Universitaria, Madrid, Spain
Perego, Alessia; Department of Agricultural and Environmental Sciences, University of Milan, Milan, Italy
Peng, Bin; College of Agricultural, Consumer and Environmental Sciences (ACES), University of Illinois at Urbana-Champaign, Urbana, United States
Priesack, Eckart; Helmholtz Center Munich, Institute of Biochemical Plant Pathology, Neuherberg, Germany
Qi, Zhiming; Department of Bioresource Engineering, Macdonald Campus, McGill University, Sanite-Anne-de-Bellevue, Canada
Shelia, Vakhtang ; University of Florida, Agricultural and Biological Engineering, Frazier Rogers Hall, Gainesville, United States
Srivastava, Amit Kumar; Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany ; Leibniz Centre for Agricultural Landscape Research (ZALF), Mucheberg, Germany
Timlin, Dennis ; Adaptive Cropping Systems Laboratory, USDA-ARS, Beltsville, United States
Webber, Heidi ; Leibniz Centre for Agricultural Landscape Research (ZALF), Mucheberg, Germany
Weber, Tobias; Universität Hohenheim, Institute of Soil Science and Land Evaluation, Biogeophysics, Stuttgart, Germany
Williams, Karina ; Hadley Centre, FitzRoy, United Kingdom ; Global Systems Institute, University of Exeter, Exeter, United Kingdom
Viswanathan, Michelle; Universität Hohenheim, Institute of Soil Science and Land Evaluation, Biogeophysics, Stuttgart, Germany
Zhou, Wang ; College of Agricultural, Consumer and Environmental Sciences (ACES), University of Illinois at Urbana-Champaign, Urbana, United States
AgMIP - Agricultural Model Intercomparison and Improvement Project - www.agmip.org
Funding text :
We appreciate access to the comprehensive dataset from Mead, Nebraska, USA, which was collected by the following scientists: Shashi B. Verma, Achim Dobermann, Kenneth G. Cassman, Daniel T. Walters, Johannes M. Knops, Timothy J. Arkebauer, George G. Burba, Brigid Amos, Haishum Yang, Daniel Ginting, Kenneth G. Hubbard, Anatoly A. Gitelson, and Elizabeth A. Walter-Shea. The dataset was collected with support from the DOE-Office of Science (BER: Grant Nos. DE-FG03-00ER62996 and DE-FG02-03ER63639 ), DOE-EPSCoR (Grant No. DE-FG02-00ER45827 ), and the Cooperative State Research, Education, and Extension Service, US Department of Agriculture (Agreement No. 2001-38700-11092 ). Funding was also provided by the National Multidisciplinary Laboratory for Climate Change , RRF-2.3.1-21-2022-00014 project. Additional support was provided by grant \"Advanced research supporting the forestry and wood-processing sector\u00B4s adaptation to global change and the 4th industrial revolution\", No. CZ.02.1.01/0.0/0.0/16_019/0000803 financed by OP RDE. The Nebraska sites were also supported by a subaward as part of the AmeriFlux Management Project from the University of California-Berkeley National Lab (Prime Sponsor: Department of Energy) and the Nebraska Agricultural Experiment Station with funding from the Hatch Act (Accession Number 1002649 ) through the USDA National Institute of Food and Agriculture. The dataset from Bushland, Texas, USA was acquired with support from the Ogallala Aquifer Program, a consortium between USDA-Agricultural Research Service, Kansas State University, Texas AgriLife Research, Texas AgriLife Extension Service, Texas Tech University, and West Texas A&M University. KW was supported by the Met Office Hadley Centre Climate Programme funded by BEIS.We appreciate access to the comprehensive dataset from Mead, Nebraska, USA, which was collected by the following scientists: Shashi B. Verma, Achim Dobermann, Kenneth G. Cassman, Daniel T. Walters, Johannes M. Knops, Timothy J. Arkebauer, George G. Burba, Brigid Amos, Haishum Yang, Daniel Ginting, Kenneth G. Hubbard, Anatoly A. Gitelson, and Elizabeth A. Walter-Shea. The dataset was collected with support from the DOE-Office of Science (BER: Grant Nos. DE-FG03\u201300ER62996 and DE-FG02\u201303ER63639), DOE-EPSCoR (Grant No. DE-FG02\u201300ER45827), and the Cooperative State Research, Education, and Extension Service, US Department of Agriculture (Agreement No. 2001\u201338700\u201311092). Funding was also provided by the National Multidisciplinary Laboratory for Climate Change, RRF-2.3.1\u201321\u20132022\u201300014 project. Additional support was provided by grant \"Advanced research supporting the forestry and wood-processing sector\u00B4s adaptation to global change and the 4th industrial revolution\", No. CZ.02.1.01/0.0/0.0/16_019/0000803 financed by OP RDE. The Nebraska sites were also supported by a subaward as part of the AmeriFlux Management Project from the University of California-Berkeley National Lab (Prime Sponsor: Department of Energy) and the Nebraska Agricultural Experiment Station with funding from the Hatch Act (Accession Number 1002649) through the USDA National Institute of Food and Agriculture. The dataset from Bushland, Texas, USA was acquired with support from the Ogallala Aquifer Program, a consortium between USDA-Agricultural Research Service, Kansas State University, Texas AgriLife Research, Texas AgriLife Extension Service, Texas Tech University, and West Texas A&M University. KW was supported by the Met Office Hadley Centre Climate Programme funded by BEIS.
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