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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

2001 MODIS Type 1 Global Land Cover 500 m (A) and 1 km (B) spatial resolution. The classification scheme is simplified to highlight the differences between the two data sets despite the same classification methods. The "Woody Vegetation" class is comprised of mixed forest, shrubland, and savannah land cover, which are considered suitable tsetse fly habitat.
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Figure 3: 2001 MODIS Type 1 Global Land Cover 500 m (A) and 1 km (B) spatial resolution. The classification scheme is simplified to highlight the differences between the two data sets despite the same classification methods. The "Woody Vegetation" class is comprised of mixed forest, shrubland, and savannah land cover, which are considered suitable tsetse fly habitat.

Mentions: This study also used all 5 types of Moderate Resolution Imaging Spectroradiometer (MODIS) Global Land Cover products in both 500 m and 1 km spatial resolutions (MCD12Q1 & MOD12Q1), which are publicly available from NASA. Although both spatial resolutions of each type of MODIS Global Land Cover product are produced using the same classification method and scheme, the resulting 500 m and 1 km data sets are quite different in the patterns of land cover classes that they display (Figure 3). For this reason, each resolution of each type of MODIS LULC product is considered a separate data set in our analysis.


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

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

2001 MODIS Type 1 Global Land Cover 500 m (A) and 1 km (B) spatial resolution. The classification scheme is simplified to highlight the differences between the two data sets despite the same classification methods. The "Woody Vegetation" class is comprised of mixed forest, shrubland, and savannah land cover, which are considered suitable tsetse fly habitat.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 3: 2001 MODIS Type 1 Global Land Cover 500 m (A) and 1 km (B) spatial resolution. The classification scheme is simplified to highlight the differences between the two data sets despite the same classification methods. The "Woody Vegetation" class is comprised of mixed forest, shrubland, and savannah land cover, which are considered suitable tsetse fly habitat.
Mentions: This study also used all 5 types of Moderate Resolution Imaging Spectroradiometer (MODIS) Global Land Cover products in both 500 m and 1 km spatial resolutions (MCD12Q1 & MOD12Q1), which are publicly available from NASA. Although both spatial resolutions of each type of MODIS Global Land Cover product are produced using the same classification method and scheme, the resulting 500 m and 1 km data sets are quite different in the patterns of land cover classes that they display (Figure 3). For this reason, each resolution of each type of MODIS LULC product is considered a separate data set in our analysis.

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