Limits...
The application of predictive modelling for determining bio-environmental factors affecting the distribution of blackflies (Diptera: Simuliidae) in the Gilgel Gibe watershed in Southwest Ethiopia.

Ambelu A, Mekonen S, Koch M, Addis T, Boets P, Everaert G, Goethals P - PLoS ONE (2014)

Bottom Line: Our investigations aim to establish a combination of models able to identify the environmental factors and macroinvertebrate organisms that are favourable or inhibiting blackfly larvae existence in aquatic ecosystems.The models developed using macroinvertebrate predictors showed better performance than those based on environmental predictors.Through a combination of modelling techniques, a reliable method has been developed that explains environmental and biological relationships with the target organism, and, thus, can serve as a decision support tool for ecological management strategies.

View Article: PubMed Central - PubMed

Affiliation: Department of Environmental Health Sciences and Technology, Jimma University, P.O. Box 378, Jimma, Ethiopia.

ABSTRACT
Blackflies are important macroinvertebrate groups from a public health as well as ecological point of view. Determining the biological and environmental factors favouring or inhibiting the existence of blackflies could facilitate biomonitoring of rivers as well as control of disease vectors. The combined use of different predictive modelling techniques is known to improve identification of presence/absence and abundance of taxa in a given habitat. This approach enables better identification of the suitable habitat conditions or environmental constraints of a given taxon. Simuliidae larvae are important biological indicators as they are abundant in tropical aquatic ecosystems. Some of the blackfly groups are also important disease vectors in poor tropical countries. Our investigations aim to establish a combination of models able to identify the environmental factors and macroinvertebrate organisms that are favourable or inhibiting blackfly larvae existence in aquatic ecosystems. The models developed using macroinvertebrate predictors showed better performance than those based on environmental predictors. The identified environmental and macroinvertebrate parameters can be used to determine the distribution of blackflies, which in turn can help control river blindness in endemic tropical places. Through a combination of modelling techniques, a reliable method has been developed that explains environmental and biological relationships with the target organism, and, thus, can serve as a decision support tool for ecological management strategies.

Show MeSH

Related in: MedlinePlus

Location of the study area with bar graphs showing the abundance of Simuliidae larvae at each sampling site.The longest bar represents 33 Simuliidae individuals and the shortest one represents zero individuals.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4221614&req=5

pone-0112221-g001: Location of the study area with bar graphs showing the abundance of Simuliidae larvae at each sampling site.The longest bar represents 33 Simuliidae individuals and the shortest one represents zero individuals.

Mentions: The study was performed in the Gilgel Gibe watershed, which is part of the Omo-Gibe River basin situated in southwest Ethiopia. Simuliidae larvae are found in most of the study sites where their abundance is indicated as a bar graph in Fig. 1. The area is bounded by latitudes 7°25′ and 7° 55′ North and longitudes 36°30′ and 37° 22′ East. The watershed is mainly located in the Jimma administrative zone, which has an estimated population of over 2.5 million people (CSA, 2007). The study area receives annual rainfall in the range of 1200–2800 mm, while the altitude ranges from 1096 to 3259 m above sea level. The Gilgel Gibe watershed is located in the tropical afro-alpine ecological region.


The application of predictive modelling for determining bio-environmental factors affecting the distribution of blackflies (Diptera: Simuliidae) in the Gilgel Gibe watershed in Southwest Ethiopia.

Ambelu A, Mekonen S, Koch M, Addis T, Boets P, Everaert G, Goethals P - PLoS ONE (2014)

Location of the study area with bar graphs showing the abundance of Simuliidae larvae at each sampling site.The longest bar represents 33 Simuliidae individuals and the shortest one represents zero individuals.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4221614&req=5

pone-0112221-g001: Location of the study area with bar graphs showing the abundance of Simuliidae larvae at each sampling site.The longest bar represents 33 Simuliidae individuals and the shortest one represents zero individuals.
Mentions: The study was performed in the Gilgel Gibe watershed, which is part of the Omo-Gibe River basin situated in southwest Ethiopia. Simuliidae larvae are found in most of the study sites where their abundance is indicated as a bar graph in Fig. 1. The area is bounded by latitudes 7°25′ and 7° 55′ North and longitudes 36°30′ and 37° 22′ East. The watershed is mainly located in the Jimma administrative zone, which has an estimated population of over 2.5 million people (CSA, 2007). The study area receives annual rainfall in the range of 1200–2800 mm, while the altitude ranges from 1096 to 3259 m above sea level. The Gilgel Gibe watershed is located in the tropical afro-alpine ecological region.

Bottom Line: Our investigations aim to establish a combination of models able to identify the environmental factors and macroinvertebrate organisms that are favourable or inhibiting blackfly larvae existence in aquatic ecosystems.The models developed using macroinvertebrate predictors showed better performance than those based on environmental predictors.Through a combination of modelling techniques, a reliable method has been developed that explains environmental and biological relationships with the target organism, and, thus, can serve as a decision support tool for ecological management strategies.

View Article: PubMed Central - PubMed

Affiliation: Department of Environmental Health Sciences and Technology, Jimma University, P.O. Box 378, Jimma, Ethiopia.

ABSTRACT
Blackflies are important macroinvertebrate groups from a public health as well as ecological point of view. Determining the biological and environmental factors favouring or inhibiting the existence of blackflies could facilitate biomonitoring of rivers as well as control of disease vectors. The combined use of different predictive modelling techniques is known to improve identification of presence/absence and abundance of taxa in a given habitat. This approach enables better identification of the suitable habitat conditions or environmental constraints of a given taxon. Simuliidae larvae are important biological indicators as they are abundant in tropical aquatic ecosystems. Some of the blackfly groups are also important disease vectors in poor tropical countries. Our investigations aim to establish a combination of models able to identify the environmental factors and macroinvertebrate organisms that are favourable or inhibiting blackfly larvae existence in aquatic ecosystems. The models developed using macroinvertebrate predictors showed better performance than those based on environmental predictors. The identified environmental and macroinvertebrate parameters can be used to determine the distribution of blackflies, which in turn can help control river blindness in endemic tropical places. Through a combination of modelling techniques, a reliable method has been developed that explains environmental and biological relationships with the target organism, and, thus, can serve as a decision support tool for ecological management strategies.

Show MeSH
Related in: MedlinePlus