Crop yield response to climate change varies with crop spatial distribution pattern

Abstract The linkage between crop yield and climate variability has been confirmed in numerous studies using statistical approaches. A crucial assumption in these studies is that crop spatial distribution pattern is constant over time. Here, we explore how changes in county-level corn spatial distri...

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Main Authors: Guoyong Leng, Maoyi Huang
Format: Article
Language:English
Published: Nature Publishing Group 2017-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-01599-2
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spelling doaj-4756f489109b477dbc139f6b5265c9502020-12-08T02:57:01ZengNature Publishing GroupScientific Reports2045-23222017-05-017111010.1038/s41598-017-01599-2Crop yield response to climate change varies with crop spatial distribution patternGuoyong Leng0Maoyi Huang1Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park MDEarth System Analysis and Modeling Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National LaboratoryAbstract The linkage between crop yield and climate variability has been confirmed in numerous studies using statistical approaches. A crucial assumption in these studies is that crop spatial distribution pattern is constant over time. Here, we explore how changes in county-level corn spatial distribution pattern modulate the response of its yields to climate change at the state level over the Contiguous United States. Our results show that corn yield response to climate change varies with crop spatial distribution pattern, with distinct impacts on the magnitude and even the direction at the state level. Corn yield is predicted to decrease by 20~40% by 2050 s when considering crop spatial distribution pattern changes, which is 6~12% less than the estimates with fixed cropping pattern. The beneficial effects are mainly achieved by reducing the negative impacts of daily maximum temperature and strengthening the positive impacts of precipitation. Our results indicate that previous empirical studies could be biased in assessing climate change impacts by ignoring the changes in crop spatial distribution pattern. This has great implications for understanding the increasing debates on whether climate change will be a net gain or loss for regional agriculture.https://doi.org/10.1038/s41598-017-01599-2
collection DOAJ
language English
format Article
sources DOAJ
author Guoyong Leng
Maoyi Huang
spellingShingle Guoyong Leng
Maoyi Huang
Crop yield response to climate change varies with crop spatial distribution pattern
Scientific Reports
author_facet Guoyong Leng
Maoyi Huang
author_sort Guoyong Leng
title Crop yield response to climate change varies with crop spatial distribution pattern
title_short Crop yield response to climate change varies with crop spatial distribution pattern
title_full Crop yield response to climate change varies with crop spatial distribution pattern
title_fullStr Crop yield response to climate change varies with crop spatial distribution pattern
title_full_unstemmed Crop yield response to climate change varies with crop spatial distribution pattern
title_sort crop yield response to climate change varies with crop spatial distribution pattern
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-05-01
description Abstract The linkage between crop yield and climate variability has been confirmed in numerous studies using statistical approaches. A crucial assumption in these studies is that crop spatial distribution pattern is constant over time. Here, we explore how changes in county-level corn spatial distribution pattern modulate the response of its yields to climate change at the state level over the Contiguous United States. Our results show that corn yield response to climate change varies with crop spatial distribution pattern, with distinct impacts on the magnitude and even the direction at the state level. Corn yield is predicted to decrease by 20~40% by 2050 s when considering crop spatial distribution pattern changes, which is 6~12% less than the estimates with fixed cropping pattern. The beneficial effects are mainly achieved by reducing the negative impacts of daily maximum temperature and strengthening the positive impacts of precipitation. Our results indicate that previous empirical studies could be biased in assessing climate change impacts by ignoring the changes in crop spatial distribution pattern. This has great implications for understanding the increasing debates on whether climate change will be a net gain or loss for regional agriculture.
url https://doi.org/10.1038/s41598-017-01599-2
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