Effects of Changes in Climatic Means and Variability on Future Wheat and Maize Yields and the Role of Adaptive Agro-Technologies in Reducing Negative Impacts

70 Pages Posted: 14 Jul 2023

See all articles by Gennady Bracho-Mujica

Gennady Bracho-Mujica

University of Göttingen

Reimund P. Rötter

University of Göttingen

Markus Haakana

Natural Resources Institute Finland

Taru Palosuo

Natural Resources Institute Finland

Stefan Fronzek

Government of the Republic of Finland - Finnish Environment Institute

Senthold Asseng

Technische Universität München (TUM)

Chen Yi

affiliation not provided to SSRN

Frank Ewert

Leibniz-Centre for Agricultural Landscape Research (ZALF); University of Bonn

Thomas Gaiser

University of Bonn

Belay Tseganeh Kassie

affiliation not provided to SSRN

Kirsten Paff

Government of the United States of America - US Department of Agriculture

Ehsan Eyshi Rezaei

affiliation not provided to SSRN

Alfredo Rodríguez

affiliation not provided to SSRN

Margarita Ruiz-Ramos

Polytechnic University of Madrid

Amit K. Srivastava

University of Bonn

Pierre Stratonovitch

Rothamsted Research

Fulu Tao

Chinese Academy of Sciences (CAS) - Key Laboratory of Land Surface Pattern and Simulation

Mikhail A. Semenov

Rothamsted Research

Abstract

To address the rising global food demand in a changing climate, yield gaps (YG), the difference between attainable yields under irrigated (YP) or rainfed conditions (YWL) and actual farmers’ yields (Ya), must be significantly narrowed whilst raising potential yields. Here, we examined the likely impacts of climate change (including changes in climatic variability) and shifts in agricultural technologies on crop yields and yield gaps. Eight rigorously tested crop simulation models were calibrated for wheat and maize and run at ten different sites worldwide. Simulations were performed to estimate YP and YWL, as well as yields achievable under three locally defined technology packages: TP0 represents current average farmer’s practice, while TP1 and TP2 are increasingly advanced technologies, i.e. improved cultivars and optimised water and fertilisation management. Simulations were run for the baseline (1980-2010) and twelve future climate scenarios for 2050, representing changes in the means of climate variables and in the variability of daily temperature and duration of dry spells. Our fundamental hypotheses were that (H1) mean climate changes combined with increased weather variability lead to markedly more negative yield impacts than mean changes alone, and (H2) advanced technologies would serve as effective adaptations that also reduce yield gaps under future climatic conditions. Crop responses were dependent on site characteristics, climate scenarios and adopted technologies. Our findings did not support H1. As for H2, the improved technology packages increased wheat and maize yields at all sites but, reductions of yield gaps varied substantially among sites. Future studies should consider a broader range of climate change scenarios and tackle the challenge of analysing various aspects of potential shifts in climate variability. Moreover, it is recommended to co-create and evaluate climate zone-specific climate-smart crop production technologies in interaction with a wider range of local stakeholders.

Keywords: adaptation, Climate change impacts, crop modelling, food security, technology change, yield gap

Suggested Citation

Bracho-Mujica, Gennady and Rötter, Reimund P. and Haakana, Markus and Palosuo, Taru and Fronzek, Stefan and Asseng, Senthold and Yi, Chen and Ewert, Frank and Gaiser, Thomas and Kassie, Belay Tseganeh and Paff, Kirsten and Rezaei, Ehsan Eyshi and Rodríguez, Alfredo and Ruiz-Ramos, Margarita and Srivastava, Amit K. and Stratonovitch, Pierre and Tao, Fulu and Semenov, Mikhail A., Effects of Changes in Climatic Means and Variability on Future Wheat and Maize Yields and the Role of Adaptive Agro-Technologies in Reducing Negative Impacts. Available at SSRN: https://ssrn.com/abstract=4510850 or http://dx.doi.org/10.2139/ssrn.4510850

Gennady Bracho-Mujica

University of Göttingen ( email )

Wilhelmsplatz 1
Göttingen, 37073
Germany

Reimund P. Rötter (Contact Author)

University of Göttingen ( email )

Markus Haakana

Natural Resources Institute Finland ( email )

P.O. Box 18 (Jokiniemenkuja 1)
Vantaa, FI-01301
Finland

Taru Palosuo

Natural Resources Institute Finland ( email )

P.O. Box 18 (Jokiniemenkuja 1)
Vantaa, FI-01301
Finland

Stefan Fronzek

Government of the Republic of Finland - Finnish Environment Institute ( email )

00260 Helsinki
Finland

Senthold Asseng

Technische Universität München (TUM) ( email )

Chen Yi

affiliation not provided to SSRN ( email )

No Address Available

Frank Ewert

Leibniz-Centre for Agricultural Landscape Research (ZALF) ( email )

Müncheberg
Germany

University of Bonn

Regina-Pacis-Weg 3
Postfach 2220
Bonn, D-53012
Germany

Thomas Gaiser

University of Bonn

Katzenburgweg 5
Postfach 2220
Bonn, DE D-53115
Germany

Belay Tseganeh Kassie

affiliation not provided to SSRN ( email )

No Address Available

Kirsten Paff

Government of the United States of America - US Department of Agriculture ( email )

Ehsan Eyshi Rezaei

affiliation not provided to SSRN ( email )

No Address Available

Alfredo Rodríguez

affiliation not provided to SSRN ( email )

No Address Available

Margarita Ruiz-Ramos

Polytechnic University of Madrid ( email )

Madrid
Spain

Amit K. Srivastava

University of Bonn ( email )

Regina-Pacis-Weg 3
Postfach 2220
Bonn, D-53012
Germany

Pierre Stratonovitch

Rothamsted Research ( email )

West Common
Harpenden AL5 2JQ
United Kingdom

Fulu Tao

Chinese Academy of Sciences (CAS) - Key Laboratory of Land Surface Pattern and Simulation ( email )

Mikhail A. Semenov

Rothamsted Research ( email )

West Common
Harpenden AL5 2JQ
United Kingdom

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