CRILAR   12590
CENTRO REGIONAL DE INVESTIGACIONES CIENTIFICAS Y TRANSFERENCIA TECNOLOGICA DE LA RIOJA
Unidad Ejecutora - UE
artículos
Título:
Predicting the spatial distribution of Ochlerotatus albifasciatus (Diptera: Culicidae) abundance with NOAA imagery.
Autor/es:
GLEISER RAQUEL; GORLA DAVID E
Revista:
BULLETIN OF ENTOMOLOGICAL RESEARCH
Referencias:
Año: 2007 vol. 97 p. 1 - 6
ISSN:
0007-4853
Resumen:
Ochlerotatus albifasciatus is a vector of western equine encephalomyelitis in
Argentina and a nuisance mosquito affecting beef and dairy production. The
objective of this study was to analyze whether environmental proxy data derived
from 1 km resolution NOAA-AVHRR images could be useful as a rapid tool for
locating areas with higher potential for Oc. albifasciatus activity at a regional scale.
Training sites for mosquito abundance categories were 3.3r3.3km polygons over
sampling sites. Abundance was classified in two categories according to a proposed
threshold for economic losses. Data of channels 1, 2, 4 and 5 were used to
calculate five biophysical variables: normalized differences vegetation index
(NDVI), land surface temperature, total precipitable water, dew point and vapour
saturation deficit. A discriminant analysis correctly classified 100% of the areas
predicted to be above or below the economic threshold of 2500 mosquitoes per
night of capture, respectively. Components of the NDVI, the total precipitable
water and the dew point temperature contributed most to the function value. The
results suggest that environmental data derived from AVHRR-NOAA could be
useful for rapidly identifying adequate areas for mosquito development or activity.
is a vector of western equine encephalomyelitis in
Argentina and a nuisance mosquito affecting beef and dairy production. The
objective of this study was to analyze whether environmental proxy data derived
from 1 km resolution NOAA-AVHRR images could be useful as a rapid tool for
locating areas with higher potential for Oc. albifasciatus activity at a regional scale.
Training sites for mosquito abundance categories were 3.3r3.3km polygons over
sampling sites. Abundance was classified in two categories according to a proposed
threshold for economic losses. Data of channels 1, 2, 4 and 5 were used to
calculate five biophysical variables: normalized differences vegetation index
(NDVI), land surface temperature, total precipitable water, dew point and vapour
saturation deficit. A discriminant analysis correctly classified 100% of the areas
predicted to be above or below the economic threshold of 2500 mosquitoes per
night of capture, respectively. Components of the NDVI, the total precipitable
water and the dew point temperature contributed most to the function value. The
results suggest that environmental data derived from AVHRR-NOAA could be
useful for rapidly identifying adequate areas for mosquito development or activity.
Oc. albifasciatus activity at a regional scale.
Training sites for mosquito abundance categories were 3.3r3.3km polygons over
sampling sites. Abundance was classified in two categories according to a proposed
threshold for economic losses. Data of channels 1, 2, 4 and 5 were used to
calculate five biophysical variables: normalized differences vegetation index
(NDVI), land surface temperature, total precipitable water, dew point and vapour
saturation deficit. A discriminant analysis correctly classified 100% of the areas
predicted to be above or below the economic threshold of 2500 mosquitoes per
night of capture, respectively. Components of the NDVI, the total precipitable
water and the dew point temperature contributed most to the function value. The
results suggest that environmental data derived from AVHRR-NOAA could be
useful for rapidly identifying adequate areas for mosquito development or activity.
r3.3km polygons over
sampling sites. Abundance was classified in two categories according to a proposed
threshold for economic losses. Data of channels 1, 2, 4 and 5 were used to
calculate five biophysical variables: normalized differences vegetation index
(NDVI), land surface temperature, total precipitable water, dew point and vapour
saturation deficit. A discriminant analysis correctly classified 100% of the areas
predicted to be above or below the economic threshold of 2500 mosquitoes per
night of capture, respectively. Components of the NDVI, the total precipitable
water and the dew point temperature contributed most to the function value. The
results suggest that environmental data derived from AVHRR-NOAA could be
useful for rapidly identifying adequate areas for mosquito development or activity.
% of the areas
predicted to be above or below the economic threshold of 2500 mosquitoes per
night of capture, respectively. Components of the NDVI, the total precipitable
water and the dew point temperature contributed most to the function value. The
results suggest that environmental data derived from AVHRR-NOAA could be
useful for rapidly identifying adequate areas for mosquito development or activity.