Crop models and their use in assessing crop production and food security: A review

19101 7 103131 2 314694 document 103131 Food and Energy Security - 2023 - Gavasso‐Rita.pdf application/pdf c89fb42f20b03f7becadb1aaf890b0a2 MD5 2015499 2023-09-28 07:45:58 https://pure.iiasa.ac.at/id/eprint/19101/1/Food%20and%20Energy%20Security%20-%202023%20-%20Gavasso%E2%80%90Rita.pdf 19101 1 1 application/pdf text en public cc_by_4

Food and Energy Security - 2023 - Gavasso‐Rita.pdf

accepted 103133 2 314708 document 103133 lightbox.jpg image/png 01843aec9a53c87b94e14923ec0d6094 MD5 51564 2023-09-28 07:56:10 https://pure.iiasa.ac.at/id/eprint/19101/2/lightbox.jpg 19101 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/103131 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/103131 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/103131 archive 353 disk0/00/01/91/01 2023-09-28 07:47:47 2024-03-15 12:31:20 2023-09-28 07:47:47 article show Gavasso‐Rita Y.L. Papalexiou S.M. Li Y. Elshorbagy A. 9801 Li Z. Schuster‐Wallace C. Crop models and their use in assessing crop production and food security: A review pub BNR WAT climate change; crop modeling; food availability; food insecurity Agriculture is directly related to food security as it determines the global food supply. Research in agriculture to predict crop productivity and losses helps avoid high food demand with little supply and price spikes. Here, we review ten crop models and one intercomparison project used for simulating crop growth and productivity under various impacts from soil–crop–atmosphere interactions. The review outlines food security and production assessments using numerical models for maize, wheat, and rice production. A summary of reviewed studies shows the following: (1) model ensembles provide smaller modeling errors compared to single models, (2) single models show better results when coupled with other types of models, (3) the ten reviewed crop models had improvements over the years and can accurately predict crop growth and yield for most of the locations, management conditions, and genotypes tested, (4) APSIM and DSSAT are fast and reliable in assessing broader output variables, (5) AquaCrop is indicated to investigate water footprint, quality and use efficiency in rainfed and irrigated systems, (6) all models assess nitrogen dynamics and use efficiency efficiently, excluding AquaCrop and WOFOST, (7) JULES specifies in evaluating food security vulnerability, (8) ORYZA is the main crop model used to evaluate paddy rice production, (9) grain filling is usually assessed with APSIM, DAISY, and DSSAT, and (10) the ten crop models can be used as tools to evaluate food production, availability, and security. 2023-09-22 published Wiley doi:10.1002/fes3.503 3467 public Food and Energy Security 13 e503 TRUE 2048-3694 no info:eu-repo/semantics/article