Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions
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Final Accepted Manuscript
Author
Webber, HeidiWhite, Jeffrey W.
Kimball, Bruce A.
Ewert, Frank
Asseng, Senthold
Eyshi Rezaei, Ehsan
Pinter, Paul J.
Hatfield, Jerry L.
Reynolds, Matthew P.
Ababaei, Behnam
Bindi, Marco
Doltra, Jordi
Ferrise, Roberto
Kage, Henning
Kassie, Belay T.
Kersebaum, Kurt-Christian
Luig, Adam
Olesen, Jørgen E.
Semenov, Mikhail A.
Stratonovitch, Pierre
Ratjen, Arne M.
LaMorte, Robert L.
Leavitt, Steven W.
Hunsaker, Douglas J.
Wall, Gerard W.
Martre, Pierre
Affiliation
Univ Arizona, Lab Tree Ring ResIssue Date
2018-02Keywords
Heat stressCrop model improvement
Heat and drought interactions
Climate change impact assessments
Canopy temperature
Wheat
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ELSEVIER SCIENCE BVCitation
Webber, H., White, J. W., Kimball, B. A., Ewert, F., Asseng, S., Rezaei, E. E., ... & Bindi, M. (2018). Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions. Field Crops Research, 216, 75-88.Journal
FIELD CROPS RESEARCHRights
© 2017 Elsevier B.V. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Despite widespread application in studying climate change impacts, most crop models ignore complex interactions among air temperature, crop and soil water status, CO2 concentration and atmospheric conditions that influence crop canopy temperature. The current study extended previous studies by evaluating Tc simulations from nine crop models at six locations across environmental and production conditions. Each crop model implemented one of an empirical (EMP), an energy balance assuming neutral stability (EBN) or an energy balance correcting for atmospheric stability conditions (EBSC) approach to simulate Tc. Model performance in predicting Tc was evaluated for two experiments in continental North America with various water, nitrogen and CO2 treatments. An empirical model fit to one dataset had the best performance, followed by the EBSC models. Stability conditions explained much of the differences between modeling approaches. More accurate simulation of heat stress will likely require use of energy balance approaches that consider atmospheric stability conditions.Note
24 month embargo; published online: 14 November 2017ISSN
03784290Version
Final accepted manuscriptSponsors
AgMIP; Federal Ministry of Education and Research (BMBF) through WASCAL (West African Science Service Center on Climate Change and Adapted Land Use); German Science Foundation [EW 119/5-1, KA 3046/8-1]; FACCE JPI MACSUR project through the German Federal Ministry of Education and Research [2812ERA115]; International Food Policy Research Institute (IFPRI) through the Global Futures and Strategic Foresight project; CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS); CGIAR Research Program on Wheat; German Federal Ministry of Economic Cooperation and Development (Project: PART); FACCE JPI MACSUR project through the meta program Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA) [031A103B]; Biotechnological and Biological Sciences Research Council of the UK; FACCE MACSUR project by Innovation Fund Denmark; JPI FACCE MACSUR2 through the German Ministry of Education and Research [03180039C]; JPI FACCE MACSUR2 through the Italian Ministry for Agricultural, Food and Forestry PoliciesAdditional Links
http://linkinghub.elsevier.com/retrieve/pii/S0378429017313011ae974a485f413a2113503eed53cd6c53
10.1016/j.fcr.2017.11.005