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Ecological niche modeling and land cover risk areas for rift valley fever vector, culex tritaeniorhynchus giles in Jazan, Saudi Arabia.

Sallam MF, Al Ahmed AM, Abdel-Dayem MS, Abdullah MA - PLoS ONE (2013)

Bottom Line: Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat.Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05).Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Protection, College of Food Sciences and Agriculture, King Saud University, Riyadh, Saudi Arabia.

ABSTRACT

Background: The mosquito, Culex tritaeniorhynchus Giles is a prevalent and confirmed Rift Valley Fever virus (RVFV) vector. This vector, in association with Aedimorphus arabiensis (Patton), was responsible for causing the outbreak of 2000 in Jazan Province, Saudi Arabia.

Methodology/principal findings: Larval occurrence records and a total of 19 bioclimatic and three topographic layers imported from Worldclim Database were used to predict the larval suitable breeding habitats for this vector in Jazan Province using ArcGIS ver.10 and MaxEnt modeling program. Also, a supervised land cover classification from SPOT5 imagery was developed to assess the land cover distribution within the suitable predicted habitats. Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat. Precipitation and temperature were strong predictors of mosquito distribution. Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05). Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

Conclusion/significance: This model is a first step in understanding the spatial distribution of Cx. tritaeniorhynchus and consequently the risk of RVFV in Saudi Arabia and to assist in planning effective mosquito surveillance and control programs by public health personnel and researchers.

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Relative distribution of predicted suitable habitats in different political districts of Jazan Province, Saudi Arabia.
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pone-0065786-g006: Relative distribution of predicted suitable habitats in different political districts of Jazan Province, Saudi Arabia.

Mentions: Generally, the MaxEnt created model for Cx. tritaeniorhynchus supported three topographic sectors representing different elevations ranges from 30–2,000 m. The very high predicted suitable habitat was found to be spotty in two main sectors with different elevations. The prediction map indicated consistent major distribution of very high suitable predicted habitats in hilly middle and eastern Sarawat Mountains near the cities of Abu Arish, Al Eidaby, Sabya, Ahd Al Masarhah, and Al Ardah. The elevation range of these cities varied from ∼600–2,000 m a.s.l. The predicted habitat suitability across this region represented 652.42 km2 (97.31%) of the total very high suitable predicted habitats. These very high suitable predicted habitats were consistent with the incidence of RVFV human cases that have been previously recorded during the outbreak of 2000 (Fig. 5). However, no recent human cases have been recorded to be compared with our model. Also, another 18.01 km2 (2.69%) was indicated as very high suitable predicted habitat along the western coast of the Jazan Province at an elevation range 0–30 m (Fig. 6).


Ecological niche modeling and land cover risk areas for rift valley fever vector, culex tritaeniorhynchus giles in Jazan, Saudi Arabia.

Sallam MF, Al Ahmed AM, Abdel-Dayem MS, Abdullah MA - PLoS ONE (2013)

Relative distribution of predicted suitable habitats in different political districts of Jazan Province, Saudi Arabia.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3675080&req=5

pone-0065786-g006: Relative distribution of predicted suitable habitats in different political districts of Jazan Province, Saudi Arabia.
Mentions: Generally, the MaxEnt created model for Cx. tritaeniorhynchus supported three topographic sectors representing different elevations ranges from 30–2,000 m. The very high predicted suitable habitat was found to be spotty in two main sectors with different elevations. The prediction map indicated consistent major distribution of very high suitable predicted habitats in hilly middle and eastern Sarawat Mountains near the cities of Abu Arish, Al Eidaby, Sabya, Ahd Al Masarhah, and Al Ardah. The elevation range of these cities varied from ∼600–2,000 m a.s.l. The predicted habitat suitability across this region represented 652.42 km2 (97.31%) of the total very high suitable predicted habitats. These very high suitable predicted habitats were consistent with the incidence of RVFV human cases that have been previously recorded during the outbreak of 2000 (Fig. 5). However, no recent human cases have been recorded to be compared with our model. Also, another 18.01 km2 (2.69%) was indicated as very high suitable predicted habitat along the western coast of the Jazan Province at an elevation range 0–30 m (Fig. 6).

Bottom Line: Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat.Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05).Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Protection, College of Food Sciences and Agriculture, King Saud University, Riyadh, Saudi Arabia.

ABSTRACT

Background: The mosquito, Culex tritaeniorhynchus Giles is a prevalent and confirmed Rift Valley Fever virus (RVFV) vector. This vector, in association with Aedimorphus arabiensis (Patton), was responsible for causing the outbreak of 2000 in Jazan Province, Saudi Arabia.

Methodology/principal findings: Larval occurrence records and a total of 19 bioclimatic and three topographic layers imported from Worldclim Database were used to predict the larval suitable breeding habitats for this vector in Jazan Province using ArcGIS ver.10 and MaxEnt modeling program. Also, a supervised land cover classification from SPOT5 imagery was developed to assess the land cover distribution within the suitable predicted habitats. Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat. Precipitation and temperature were strong predictors of mosquito distribution. Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05). Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

Conclusion/significance: This model is a first step in understanding the spatial distribution of Cx. tritaeniorhynchus and consequently the risk of RVFV in Saudi Arabia and to assist in planning effective mosquito surveillance and control programs by public health personnel and researchers.

Show MeSH
Related in: MedlinePlus