Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022124898> ?p ?o ?g. }
- W2022124898 endingPage "148" @default.
- W2022124898 startingPage "133" @default.
- W2022124898 abstract "CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 58:133-148 (2013) - DOI: https://doi.org/10.3354/cr01194 ENSO, climate variability and crop yields in China Jiabing Shuai1,2, Zhao Zhang1,*, De-Zheng Sun2,3, Fulu Tao4, Peijun Shi1,** 1State Key Laboratory of Earth Surface Processes and Resource Ecology, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China 2Cooperative Institute for Research in Environmental Sciences, University of Colorado and 3NOAA, Earth System Research Laboratory, Physical Science Division, Boulder, Colorado 80305, USA 4Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China *Corresponding author. Email: zhangzhao@bnu.edu.cn **Corresponding author. Email: spj@bnu.edu.cn ABSTRACT: The El Niño-Southern Oscillation (ENSO) is one of the most important contributors to global interannual climate variability, but the relationship between seasonal climate and crop yield variations associated with ENSO in China remains inconclusive. In this study, we investigated the impacts of ENSO on the yield of 3 staple crops (rice, wheat, and corn) at the provincial scale. We found that ENSO has significant impacts on wheat yields throughout China, and on rice and corn yields in major production areas. Specifically, more (less) rainfall during the wheat growing season in El Niño (La Niña) years leads to increases (decreases) in wheat yield, especially in southeastern China. Increases (decreases) in rice yield in northeastern China are due to warming (cooling) in El Niño (La Niña) years. In southern China, the variability of rainfall plays a more important role in rice yield than that in northern China. Corn yields in northern China are significantly affected by ENSO-induced changes in maximum temperature, solar radiation, and rainfall. Moreover, all of the staple crop yields are highly correlated with the ENSO index with a lead of at least 6 mo. For rice and corn in many provinces, the yields are typically most correlated with the index of the spring season during the ENSO developing years, suggesting that such yields can be predicted 1 yr before the growing season. The large variability in seasonal climate and agricultural production associated with ENSO warrants the application of ENSO information to food market management in China. KEY WORDS: ENSO · Crop yields · Climate variability · China Full text in pdf format PreviousNextCite this article as: Shuai J, Zhang Z, Sun DZ, Tao F, Shi P (2013) ENSO, climate variability and crop yields in China. Clim Res 58:133-148. https://doi.org/10.3354/cr01194 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in CR Vol. 58, No. 2. Online publication date: December 09, 2013 Print ISSN: 0936-577X; Online ISSN: 1616-1572 Copyright © 2013 Inter-Research." @default.
- W2022124898 created "2016-06-24" @default.
- W2022124898 creator A5007172545 @default.
- W2022124898 creator A5019056704 @default.
- W2022124898 creator A5040994628 @default.
- W2022124898 creator A5053353190 @default.
- W2022124898 creator A5065361552 @default.
- W2022124898 date "2013-12-09" @default.
- W2022124898 modified "2023-10-14" @default.
- W2022124898 title "ENSO, climate variability and crop yields in China" @default.
- W2022124898 cites W152551012 @default.
- W2022124898 cites W1539390631 @default.
- W2022124898 cites W1972635258 @default.
- W2022124898 cites W1977391238 @default.
- W2022124898 cites W1979957470 @default.
- W2022124898 cites W1984413984 @default.
- W2022124898 cites W1985849709 @default.
- W2022124898 cites W1991141689 @default.
- W2022124898 cites W1996356500 @default.
- W2022124898 cites W1997106142 @default.
- W2022124898 cites W1997289136 @default.
- W2022124898 cites W2004946594 @default.
- W2022124898 cites W2007387771 @default.
- W2022124898 cites W2010006244 @default.
- W2022124898 cites W2013225468 @default.
- W2022124898 cites W2019217876 @default.
- W2022124898 cites W2023756488 @default.
- W2022124898 cites W2024181999 @default.
- W2022124898 cites W2030081190 @default.
- W2022124898 cites W2030797143 @default.
- W2022124898 cites W2034326114 @default.
- W2022124898 cites W2042117765 @default.
- W2022124898 cites W2079095280 @default.
- W2022124898 cites W2085111004 @default.
- W2022124898 cites W2086710305 @default.
- W2022124898 cites W2088044696 @default.
- W2022124898 cites W2090864326 @default.
- W2022124898 cites W2094015499 @default.
- W2022124898 cites W2097953224 @default.
- W2022124898 cites W2103763236 @default.
- W2022124898 cites W2106668301 @default.
- W2022124898 cites W2126648157 @default.
- W2022124898 cites W2145924683 @default.
- W2022124898 cites W2150897391 @default.
- W2022124898 cites W2153629713 @default.
- W2022124898 cites W2156142318 @default.
- W2022124898 cites W2161994757 @default.
- W2022124898 cites W2167069495 @default.
- W2022124898 cites W2175550040 @default.
- W2022124898 cites W2178225550 @default.
- W2022124898 cites W2245762037 @default.
- W2022124898 cites W2313603929 @default.
- W2022124898 cites W56179695 @default.
- W2022124898 doi "https://doi.org/10.3354/cr01194" @default.
- W2022124898 hasPublicationYear "2013" @default.
- W2022124898 type Work @default.
- W2022124898 sameAs 2022124898 @default.
- W2022124898 citedByCount "29" @default.
- W2022124898 countsByYear W20221248982015 @default.
- W2022124898 countsByYear W20221248982016 @default.
- W2022124898 countsByYear W20221248982017 @default.
- W2022124898 countsByYear W20221248982018 @default.
- W2022124898 countsByYear W20221248982019 @default.
- W2022124898 countsByYear W20221248982020 @default.
- W2022124898 countsByYear W20221248982021 @default.
- W2022124898 countsByYear W20221248982022 @default.
- W2022124898 countsByYear W20221248982023 @default.
- W2022124898 crossrefType "journal-article" @default.
- W2022124898 hasAuthorship W2022124898A5007172545 @default.
- W2022124898 hasAuthorship W2022124898A5019056704 @default.
- W2022124898 hasAuthorship W2022124898A5040994628 @default.
- W2022124898 hasAuthorship W2022124898A5053353190 @default.
- W2022124898 hasAuthorship W2022124898A5065361552 @default.
- W2022124898 hasBestOaLocation W20221248981 @default.
- W2022124898 hasConcept C100970517 @default.
- W2022124898 hasConcept C126343540 @default.
- W2022124898 hasConcept C127313418 @default.
- W2022124898 hasConcept C134121241 @default.
- W2022124898 hasConcept C137580998 @default.
- W2022124898 hasConcept C166957645 @default.
- W2022124898 hasConcept C191897082 @default.
- W2022124898 hasConcept C191935318 @default.
- W2022124898 hasConcept C192562407 @default.
- W2022124898 hasConcept C205649164 @default.
- W2022124898 hasConcept C2778304055 @default.
- W2022124898 hasConcept C2984488660 @default.
- W2022124898 hasConcept C39432304 @default.
- W2022124898 hasConcept C49204034 @default.
- W2022124898 hasConcept C507956050 @default.
- W2022124898 hasConcept C6557445 @default.
- W2022124898 hasConcept C86803240 @default.
- W2022124898 hasConcept C97137747 @default.
- W2022124898 hasConceptScore W2022124898C100970517 @default.
- W2022124898 hasConceptScore W2022124898C126343540 @default.
- W2022124898 hasConceptScore W2022124898C127313418 @default.
- W2022124898 hasConceptScore W2022124898C134121241 @default.
- W2022124898 hasConceptScore W2022124898C137580998 @default.
- W2022124898 hasConceptScore W2022124898C166957645 @default.