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Optimum land cover products for use in a Glossina-morsitans habitat model of Kenya.

DeVisser MH, Messina JP - Int J Health Geogr (2009)

Bottom Line: Efforts to control the disease were hampered by a lack of information and costs associated with the identification of infested areas.For single date applications, Africover was determined to be the best land use land cover (LULC) product for tsetse modeling.The method can be used to differentiate between various LULC products and be applied to any such research when there is a known relationship between a species and land cover.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Geography and Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, USA. devisse6@msu.edu

ABSTRACT

Background: Tsetse flies are the primary vector for African trypanosomiasis, a disease that affects both humans and livestock across the continent of Africa. In 1973 tsetse flies were estimated to inhabit 22% of Kenya; by 1996 that number had risen to roughly 34%. Efforts to control the disease were hampered by a lack of information and costs associated with the identification of infested areas. Given changing spatial and demographic factors, a model that can predict suitable tsetse fly habitat based on land cover and climate change is critical to efforts aimed at controlling the disease. In this paper we present a generalizable method, using a modified Mapcurves goodness of fit test, to evaluate the existing publicly available land cover products to determine which products perform the best at identifying suitable tsetse fly land cover.

Results: For single date applications, Africover was determined to be the best land use land cover (LULC) product for tsetse modeling. However, for changing habitats, whether climatically or anthropogenically forced, the IGBP DISCover and MODIS type 1 products where determined to be most practical.

Conclusion: The method can be used to differentiate between various LULC products and be applied to any such research when there is a known relationship between a species and land cover.

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Related in: MedlinePlus

The 1996 KETRI fly belts map.
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Figure 2: The 1996 KETRI fly belts map.

Mentions: Although the eight species of tsetse fly in Kenya exist and live in diverse habitats, their populations are concentrated in six distinct zones: North and South Rift Valley, Arid and Semiarid Lands (ASALs) North of Mt. Kenya, Central Kenya, Coastal, Transmara-Narok-Kajiado, and the Western Kenya & Lake Victoria belts (Figure 2) [16,19]. The zones, commonly called fly belts, are infested with one or more tsetse species with boundaries set by a variety of physical, biological and anthropogenic barriers. G. pallidipes and G. fuscipes are the two most important tsetse species in Kenya because they are considered "efficient transmitters" of AAT and HAT. The tsetse fly vector carries the parasites to different animal hosts, allowing cyclical transmission, but the primary animal reservoirs are wild and domestic ungulates. Humans may also contribute to the reservoir pool [3], and both animals and humans contribute to trypanosoma genetic exchange [20]. In 2001 infection rates of cattle in select provinces of Kenya were as follows: Coastal, 15.6%, Rift Valley, 12.9%, and Western, 8.3% [9].


Optimum land cover products for use in a Glossina-morsitans habitat model of Kenya.

DeVisser MH, Messina JP - Int J Health Geogr (2009)

The 1996 KETRI fly belts map.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2710327&req=5

Figure 2: The 1996 KETRI fly belts map.
Mentions: Although the eight species of tsetse fly in Kenya exist and live in diverse habitats, their populations are concentrated in six distinct zones: North and South Rift Valley, Arid and Semiarid Lands (ASALs) North of Mt. Kenya, Central Kenya, Coastal, Transmara-Narok-Kajiado, and the Western Kenya & Lake Victoria belts (Figure 2) [16,19]. The zones, commonly called fly belts, are infested with one or more tsetse species with boundaries set by a variety of physical, biological and anthropogenic barriers. G. pallidipes and G. fuscipes are the two most important tsetse species in Kenya because they are considered "efficient transmitters" of AAT and HAT. The tsetse fly vector carries the parasites to different animal hosts, allowing cyclical transmission, but the primary animal reservoirs are wild and domestic ungulates. Humans may also contribute to the reservoir pool [3], and both animals and humans contribute to trypanosoma genetic exchange [20]. In 2001 infection rates of cattle in select provinces of Kenya were as follows: Coastal, 15.6%, Rift Valley, 12.9%, and Western, 8.3% [9].

Bottom Line: Efforts to control the disease were hampered by a lack of information and costs associated with the identification of infested areas.For single date applications, Africover was determined to be the best land use land cover (LULC) product for tsetse modeling.The method can be used to differentiate between various LULC products and be applied to any such research when there is a known relationship between a species and land cover.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Geography and Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, USA. devisse6@msu.edu

ABSTRACT

Background: Tsetse flies are the primary vector for African trypanosomiasis, a disease that affects both humans and livestock across the continent of Africa. In 1973 tsetse flies were estimated to inhabit 22% of Kenya; by 1996 that number had risen to roughly 34%. Efforts to control the disease were hampered by a lack of information and costs associated with the identification of infested areas. Given changing spatial and demographic factors, a model that can predict suitable tsetse fly habitat based on land cover and climate change is critical to efforts aimed at controlling the disease. In this paper we present a generalizable method, using a modified Mapcurves goodness of fit test, to evaluate the existing publicly available land cover products to determine which products perform the best at identifying suitable tsetse fly land cover.

Results: For single date applications, Africover was determined to be the best land use land cover (LULC) product for tsetse modeling. However, for changing habitats, whether climatically or anthropogenically forced, the IGBP DISCover and MODIS type 1 products where determined to be most practical.

Conclusion: The method can be used to differentiate between various LULC products and be applied to any such research when there is a known relationship between a species and land cover.

Show MeSH
Related in: MedlinePlus