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A comprehensively quantitative method of evaluating the impact of drought on crop yield using daily multi-scale SPEI and crop growth process model.
Wang, Qianfeng; Wu, Jianjun; Li, Xiaohan; Zhou, Hongkui; Yang, Jianhua; Geng, Guangpo; An, Xueli; Liu, Leizhen; Tang, Zhenghong.
Affiliation
  • Wang Q; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing Normal University, Beijing, China.
  • Wu J; College of Environment and Resource, Fuzhou University, Fuzhou, China.
  • Li X; Center for Drought and Risk Research, Beijing Normal University, Beijing, China.
  • Zhou H; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing Normal University, Beijing, China. jjwu@bnu.edu.cn.
  • Yang J; Center for Drought and Risk Research, Beijing Normal University, Beijing, China. jjwu@bnu.edu.cn.
  • Geng G; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing Normal University, Beijing, China.
  • An X; Center for Drought and Risk Research, Beijing Normal University, Beijing, China.
  • Liu L; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing Normal University, Beijing, China.
  • Tang Z; Center for Drought and Risk Research, Beijing Normal University, Beijing, China.
Int J Biometeorol ; 61(4): 685-699, 2017 Apr.
Article in En | MEDLINE | ID: mdl-27888338
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triticum / Droughts / Models, Theoretical Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Int J Biometeorol Year: 2017 Document type: Article Affiliation country: China Country of publication: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triticum / Droughts / Models, Theoretical Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Int J Biometeorol Year: 2017 Document type: Article Affiliation country: China Country of publication: United States