Literature DB >> 28672243

Evidence for a weakening strength of temperature-corn yield relation in the United States during 1980-2010.

Guoyong Leng1.   

Abstract

Temperature is known to be correlated with crop yields, causing reduction of crop yield with climate warming without adaptations or CO2 fertilization effects. The historical temperature-crop yield relation has often been used for informing future changes. This relationship, however, may change over time following alternations in other environmental factors. Results show that the strength of the relationship between the interannual variability of growing season temperature and corn yield (RGST_CY) has declined in the United States between 1980 and 2010 with a loss in the statistical significance. The regression slope which represents the anomalies in corn yield that occur in association with 1 degree temperature anomaly has decreased significantly from -6.9%/K of the first half period to -2.4%/K--3.5%/K of the second half period. This implies that projected corn yield reduction will be overestimated by a fact of 2 in a given warming scenario, if the corn-temperature relation is derived from the earlier historical period. Changes in RGST_CY are mainly observed in Midwest Corn Belt and central High Plains, but are partly reproduced by 11 process-based crop models. In Midwest rain-fed systems, the decrease of negative temperature effects coincides with an increase in water availability by precipitation. In irrigated areas where water stress is minimized, the decline of beneficial temperature effects is significantly related to the increase in extreme hot days. The results indicate that an extrapolation of historical yield response to temperature may bias the assessment of agriculture vulnerability to climate change. Efforts to reduce climate impacts on agriculture should pay attention not only to climate change, but also to changes in climate-crop yield relations. There are some caveats that should be acknowledged as the analysis is restricted to the changes in the linear relation between growing season mean temperature and corn yield for the specific study period.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Climate change; Corn yields; Crop model; Statistical relation; Temperature; US

Mesh:

Year:  2017        PMID: 28672243     DOI: 10.1016/j.scitotenv.2017.06.211

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future.

Authors:  Guoyong Leng; Jim Hall
Journal:  Sci Total Environ       Date:  2018-11-05       Impact factor: 7.963

2.  Physiological insights into sulfate and selenium interaction to improve drought tolerance in mung bean.

Authors:  Muhammad Aqib; Fahim Nawaz; Sadia Majeed; Abdul Ghaffar; Khawaja Shafique Ahmad; Muhammad Asif Shehzad; Muhammad Naeem Tahir; Muhammad Aurangzaib; Hafiz Muhammad Rashad Javeed; Muhammad Habib-Ur-Rahman; Muhammad Munir Usmani
Journal:  Physiol Mol Biol Plants       Date:  2021-05-04

3.  Climate-Driven Crop Yield and Yield Variability and Climate Change Impacts on the U.S. Great Plains Agricultural Production.

Authors:  Meetpal S Kukal; Suat Irmak
Journal:  Sci Rep       Date:  2018-02-22       Impact factor: 4.379

4.  Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models.

Authors:  Guoyong Leng; Jim W Hall
Journal:  Environ Res Lett       Date:  2020-02-28       Impact factor: 6.947

  4 in total

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