Recent Weather Extremes and Impacts on Agricultural Production and Vector-Borne Disease Outbreak Patterns

被引:98
|
作者
Anyamba, Assaf [1 ,4 ]
Small, Jennifer L. [1 ,5 ]
Britch, Seth C. [2 ]
Tucker, Compton J. [1 ]
Pak, Edwin W. [1 ,5 ]
Reynolds, Curt A. [1 ]
Crutchfield, James [3 ]
Linthicum, Kenneth J. [2 ]
机构
[1] NASA, Goddard Space Flight Ctr, Biospher Sci Lab, Greenbelt, MD 20771 USA
[2] USDA ARS, Ctr Med Agr & Vet Entomol, Gainesville, FL USA
[3] USDA, Int Prod & Assessment Div, Foreign Agr Serv, Washington, DC 20250 USA
[4] Univ Space Res Assoc, Columbia, MD USA
[5] Sci Syst & Applicat Inc, Lanham, MD USA
来源
PLOS ONE | 2014年 / 9卷 / 03期
关键词
RIFT-VALLEY FEVER; WEST NILE VIRUS; EL-NINO; CROP YIELDS; NOAA-AVHRR; CLIMATE; ENCEPHALITIS; DYNAMICS; TEMPERATURE; RESPONSES;
D O I
10.1371/journal.pone.0092538
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We document significant worldwide weather anomalies that affected agriculture and vector-borne disease outbreaks during the 2010-2012 period. We utilized 2000-2012 vegetation index and land surface temperature data from NASA's satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) to map the magnitude and extent of these anomalies for diverse regions including the continental United States, Russia, East Africa, Southern Africa, and Australia. We demonstrate that shifts in temperature and/or precipitation have significant impacts on vegetation patterns with attendant consequences for agriculture and public health. Weather extremes resulted in excessive rainfall and flooding as well as severe drought, which caused similar to 10 to 80% variation in major agricultural commodity production (including wheat, corn, cotton, sorghum) and created exceptional conditions for extensive mosquito-borne disease outbreaks of dengue, Rift Valley fever, Murray Valley encephalitis, and West Nile virus disease. Analysis of MODIS data provided a standardized method for quantifying the extreme weather anomalies observed during this period. Assessments of land surface conditions from satellite-based systems such as MODIS can be a valuable tool in national, regional, and global weather impact determinations.
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页数:9
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