Literature DB >> 26227557

The implication of irrigation in climate change impact assessment: a European-wide study.

Gang Zhao1, Heidi Webber1, Holger Hoffmann1, Joost Wolf2, Stefan Siebert1, Frank Ewert1.   

Abstract

This study evaluates the impacts of projected climate change on irrigation requirements and yields of six crops (winter wheat, winter barley, rapeseed, grain maize, potato, and sugar beet) in Europe. Furthermore, the uncertainty deriving from consideration of irrigation, CO2 effects on crop growth and transpiration, and different climate change scenarios in climate change impact assessments is quantified. Net irrigation requirement (NIR) and yields of the six crops were simulated for a baseline (1982-2006) and three SRES scenarios (B1, B2 and A1B, 2040-2064) under rainfed and irrigated conditions, using a process-based crop model, SIMPLACE <LINTUL5, DRUNIR, HEAT>. We found that projected climate change decreased NIR of the three winter crops in northern Europe (up to 81 mm), but increased NIR of all the six crops in the Mediterranean regions (up to 182 mm yr(-1) ). Climate change increased yields of the three winter crops and sugar beet in middle and northern regions (up to 36%), but decreased their yields in Mediterranean countries (up to 81%). Consideration of CO2 effects can alter the direction of change in NIR for irrigated crops in the south and of yields for C3 crops in central and northern Europe. Constraining the model to rainfed conditions for spring crops led to a negative bias in simulating climate change impacts on yields (up to 44%), which was proportional to the irrigation ratio of the simulation unit. Impacts on NIR and yields were generally consistent across the three SRES scenarios for the majority of regions in Europe. We conclude that due to the magnitude of irrigation and CO2 effects, they should both be considered in the simulation of climate change impacts on crop production and water availability, particularly for crops and regions with a high proportion of irrigated crop area.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  CO2 effects; LINTUL; SIMPLACE; climate change; crop model; irrigation; water availability; yield change

Mesh:

Substances:

Year:  2015        PMID: 26227557     DOI: 10.1111/gcb.13008

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  2 in total

1.  Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain.

Authors:  Bahareh Kamali; Ignacio J Lorite; Heidi A Webber; Ehsan Eyshi Rezaei; Clara Gabaldon-Leal; Claas Nendel; Stefan Siebert; Juan Miguel Ramirez-Cuesta; Frank Ewert; Jonathan J Ojeda
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.379

2.  Winter wheat yield prediction using convolutional neural networks from environmental and phenological data.

Authors:  Nima Safaei; Saeed Khaki; Amit Kumar Srivastava; Gina Lopez; Wenzhi Zeng; Frank Ewert; Thomas Gaiser; Jaber Rahimi
Journal:  Sci Rep       Date:  2022-02-25       Impact factor: 4.379

  2 in total

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