DOI: 10.1002/2015GL063841
论文题名: Crop models capture the impacts of climate variability on corn yield
作者: Niyogi D. ; Liu X. ; Andresen J. ; Song Y. ; Jain A.K. ; Kellner O. ; Takle E.S. ; Doering O.C.
刊名: Geophysical Research Letters
ISSN: 0094-8711
EISSN: 1944-8442
出版年: 2015
卷: 42, 期: 9 起始页码: 3356
结束页码: 3363
语种: 英语
英文关键词: climate information
; crop models
; ENSO
; U.S. Corn Belt
; useful to useable
Scopus关键词: Atmospheric pressure
; Climatology
; Crops
; Digital storage
; Meteorology
; Climate assessment
; Climate information
; Climate variability
; Crop model
; ENSO
; Meteorological data
; Southern oscillation
; Useful to useable
; Climate models
; climate effect
; climate variation
; crop yield
; data set
; El Nino-Southern Oscillation
; maize
; United States
; Zea mays
英文摘要: We investigate the ability of three different crop models of varying complexity for capturing El Niño-Southern Oscillation-based climate variability impacts on the U.S. Corn Belt (1981-2010). Results indicate that crop models, irrespective of their complexity, are able to capture the impacts of climate variability on yield. Multiple-model ensemble analysis provides best results. There was no significant difference between using on-site and gridded meteorological data sets to drive the models. These results highlight the ability of using simpler crop models and gridded regional data sets for crop-climate assessments. Key Points In Corn Belt, El Niño (La Niña) has positive (negative) impact on corn yield Crop models can capture the regional impacts of ENSO on yield The study highlights the advantage of simpler crop models and gridded data sets ©2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930475710&doi=10.1002%2f2015GL063841&partnerID=40&md5=61cfb462f86d43cc680660710746cad3
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8327
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Department of Agronomy, Purdue University, West Lafayette, IN, United States
Recommended Citation:
Niyogi D.,Liu X.,Andresen J.,et al. Crop models capture the impacts of climate variability on corn yield[J]. Geophysical Research Letters,2015-01-01,42(9).