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Roux Emmanuel, Gaborit P., Romana C.A., Girod R., Dessay Nadine, Dusfour I. (2013). Objective sampling design in a highly heterogeneous landscape - characterizing environmental determinants of malaria vector distribution in French Guiana, in the Amazonian region. BMC Ecology, 13, 45. ISSN 1472-6785

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Lien direct chez l'éditeur doi:10.1186/1472-6785-13-45

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Titre
Objective sampling design in a highly heterogeneous landscape - characterizing environmental determinants of malaria vector distribution in French Guiana, in the Amazonian region
Année de publication2013
Type de documentArticle référencé dans le Web of Science WOS:000328458000001
AuteursRoux Emmanuel, Gaborit P., Romana C.A., Girod R., Dessay Nadine, Dusfour I.
SourceBMC Ecology, 2013, 13, p. 45. p. 45 ISSN 1472-6785
RésuméBackground: Sampling design is a key issue when establishing species inventories and characterizing habitats within highly heterogeneous landscapes. Sampling efforts in such environments may be constrained and many field studies only rely on subjective and/or qualitative approaches to design collection strategy. The region of Cacao, in French Guiana, provides an excellent study site to understand the presence and abundance of Anopheles mosquitoes, their species dynamics and the transmission risk of malaria across various environments. We propose an objective methodology to define a stratified sampling design. Following thorough environmental characterization, a factorial analysis of mixed groups allows the data to be reduced and non-collinear principal components to be identified while balancing the influences of the different environmental factors. Such components defined new variables which could then be used in a robust k-means clustering procedure. Then, we identified five clusters that corresponded to our sampling strata and selected sampling sites in each stratum. Results: We validated our method by comparing the species overlap of entomological collections from selected sites and the environmental similarities of the same sites. The Morisita index was significantly correlated (Pearson linear correlation) with environmental similarity based on i) the balanced environmental variable groups considered jointly (p = 0.001) and ii) land cover/use (p-value<<0.001). The Jaccard index was significantly correlated with land cover/use-based environmental similarity (p-value = 0.001). Conclusions: The results validate our sampling approach. Land cover/use maps (based on high spatial resolution satellite images) were shown to be particularly useful when studying the presence, density and diversity of Anopheles mosquitoes at local scales and in very heterogeneous landscapes.
Plan de classementTélédétection [126] ; Entomologie médicale / Parasitologie / Virologie [052]
Descr. géo.GUYANE ; AMAZONIE
LocalisationFonds IRD [F B010061377]
Identifiant IRDfdi:010061377
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010061377

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