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

Autor: Jennifer Small, James Crutchfield, Kenneth J. Linthicum, Assaf Anyamba, Curt Reynolds, Compton J. Tucker, Seth C. Britch, Edwin W. Pak
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Environmental Impacts
Atmospheric Science
Rift Valley Fever
Epidemiology
Climate
lcsh:Medicine
Encephalitis Virus
Murray Valley
Disease Vectors
Global Health
Mosquitoes
Disease Outbreaks
Russia
Dengue
Medicine and Health Sciences
Public and Occupational Health
Rift Valley fever
Spacecraft
lcsh:Science
Multidisciplinary
Ecology
Geography
Flooding (psychology)
Encephalitis
Arbovirus
Agriculture
Vegetation
Africa
Eastern
Droughts
Insects
Infectious Diseases
Biogeography
Climatology
Moderate-resolution imaging spectroradiometer
Public Health
Research Article
Arthropoda
Crops
Disease Surveillance
Ecosystems
Environmental Epidemiology
Africa
Southern
Extreme weather
Agricultural Production
Meteorology
medicine
Animals
Agricultural productivity
Terrestrial Ecology
Weather
business.industry
lcsh:R
Ecology and Environmental Sciences
Organisms
Australia
Outbreak
Biology and Life Sciences
medicine.disease
Invertebrates
Floods
United States
Earth Sciences
Bioindicators
lcsh:Q
business
West Nile Fever
Zdroj: PLoS ONE
PLoS ONE, Vol 9, Iss 3, p e92538 (2014)
ISSN: 1932-6203
Popis: 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 ∼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.
Databáze: OpenAIRE
Externí odkaz: