The observed relationships between wheat and climate in China

Recent changes in climate have had a measurable impact on crop yield in China. The objective of this study is to investigate how climate variability affects wheat yield in China at different spatial scales. First the response of wheat yield to the climate at the provincial level from 1978 to 1995 fo...

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Main Authors: Li S, Wheeler, Tim, Challinor, Andrew J., Erda, Lin, Ju H, Yinlong X
Format: Journal Article
Language:Inglés
Published: Elsevier 2010
Subjects:
Online Access:https://hdl.handle.net/10568/33392
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author Li S
Wheeler, Tim
Challinor, Andrew J.
Erda, Lin
Ju H
Yinlong X
author_browse Challinor, Andrew J.
Erda, Lin
Ju H
Li S
Wheeler, Tim
Yinlong X
author_facet Li S
Wheeler, Tim
Challinor, Andrew J.
Erda, Lin
Ju H
Yinlong X
author_sort Li S
collection Repository of Agricultural Research Outputs (CGSpace)
description Recent changes in climate have had a measurable impact on crop yield in China. The objective of this study is to investigate how climate variability affects wheat yield in China at different spatial scales. First the response of wheat yield to the climate at the provincial level from 1978 to 1995 for China was analysed. Wheat yield variability was only correlated with climate variability in some regions of China. At the provincial level, the variability of precipitation had a negative impact on wheat yield in parts of southeast China, but the seasonal mean temperature had a negative impact on wheat yield in only a few provinces, where significant variability in precipitation explained about 23–60% of yield variability, and temperature variability accounted for 37–41% of yield variability from 1978 to 1995. The correlation between wheat yield and climate for the whole of China from 1985 to 2000 was investigated at five spatial scales using climate data. The Climate Research Unit (CRU) and National Centers for Environmental Prediction (NCEP) proportions of the grid cells with a significant yield–precipitation correlation declined progressively from 14.6% at 0.5° to 0% at 5° scale. In contrast, the proportion of grid cells significant for the yield–temperature correlation increased progressively from 1.9% at 0.5° scale to 16% at 5° scale. This indicates that the variability of precipitation has a higher association with wheat yield at small scales (0.5°, 2°/2.5°) than at larger scales (4°/5.0°); but wheat yield has a good association with temperature at all levels of aggregation. The precipitation variable at the smaller scales (0.5°, 2°/2.5°) is a dominant factor in determining inter-annual wheat yield variability more so than at the larger scales (4°/5°). We conclude that in the current climate the relationship between wheat yield and each of precipitation and temperature becomes weaker and stronger, respectively, with an increase in spatial scale.
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spelling CGSpace333922024-05-01T08:18:17Z The observed relationships between wheat and climate in China Li S Wheeler, Tim Challinor, Andrew J. Erda, Lin Ju H Yinlong X agriculture climate wheats yields Recent changes in climate have had a measurable impact on crop yield in China. The objective of this study is to investigate how climate variability affects wheat yield in China at different spatial scales. First the response of wheat yield to the climate at the provincial level from 1978 to 1995 for China was analysed. Wheat yield variability was only correlated with climate variability in some regions of China. At the provincial level, the variability of precipitation had a negative impact on wheat yield in parts of southeast China, but the seasonal mean temperature had a negative impact on wheat yield in only a few provinces, where significant variability in precipitation explained about 23–60% of yield variability, and temperature variability accounted for 37–41% of yield variability from 1978 to 1995. The correlation between wheat yield and climate for the whole of China from 1985 to 2000 was investigated at five spatial scales using climate data. The Climate Research Unit (CRU) and National Centers for Environmental Prediction (NCEP) proportions of the grid cells with a significant yield–precipitation correlation declined progressively from 14.6% at 0.5° to 0% at 5° scale. In contrast, the proportion of grid cells significant for the yield–temperature correlation increased progressively from 1.9% at 0.5° scale to 16% at 5° scale. This indicates that the variability of precipitation has a higher association with wheat yield at small scales (0.5°, 2°/2.5°) than at larger scales (4°/5.0°); but wheat yield has a good association with temperature at all levels of aggregation. The precipitation variable at the smaller scales (0.5°, 2°/2.5°) is a dominant factor in determining inter-annual wheat yield variability more so than at the larger scales (4°/5°). We conclude that in the current climate the relationship between wheat yield and each of precipitation and temperature becomes weaker and stronger, respectively, with an increase in spatial scale. 2010-10-15 2013-07-31T11:48:10Z 2013-07-31T11:48:10Z Journal Article https://hdl.handle.net/10568/33392 en Limited Access Elsevier Li S, Wheeler T, Challinor AJ, Lin E, Ju H, Yinlong X. 2010. The observed relationships between wheat and climate in China Agricultural and Forest Meteorology 150 (11): 1412–1419.
spellingShingle agriculture
climate
wheats
yields
Li S
Wheeler, Tim
Challinor, Andrew J.
Erda, Lin
Ju H
Yinlong X
The observed relationships between wheat and climate in China
title The observed relationships between wheat and climate in China
title_full The observed relationships between wheat and climate in China
title_fullStr The observed relationships between wheat and climate in China
title_full_unstemmed The observed relationships between wheat and climate in China
title_short The observed relationships between wheat and climate in China
title_sort observed relationships between wheat and climate in china
topic agriculture
climate
wheats
yields
url https://hdl.handle.net/10568/33392
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