Land Use Influences Mosquito Communities and Disease Risk on Remote Tropical Islands: A Case Study Using a Novel Sampling Technique
| Autor: | Dagmar Meyer Steiger, Susan G. Laurance, Scott A. Ritchie |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
030231 tropical medicine
Biodiversity Population density 03 medical and health sciences 0302 clinical medicine Species Specificity Risk Factors Deforestation Virology Urbanization Tropical climate Animals Humans Human Activities 030212 general & internal medicine Islands Population Density Tropical Climate Land use Ecology fungi Tropics Articles Insect Vectors Culicidae Infectious Diseases Geography Habitat Parasitology Animal Distribution |
| Zdroj: | The American Journal of Tropical Medicine and Hygiene. 94:314-321 |
| ISSN: | 1476-1645 0002-9637 |
| DOI: | 10.4269/ajtmh.15-0161 |
| Popis: | Land use changes, such as deforestation and urbanization, can influence interactions between vectors, hosts, and pathogens. The consequences may result in the appearance and rise of mosquito-borne diseases, especially in remote tropical regions. Tropical regions can be the hotspots for the emergence of diseases due to high biological diversity and complex species interactions. Furthermore, frontier areas are often haphazardly surveyed as a result of inadequate or expensive sampling techniques, which limit early detection and medical intervention. We trialed a novel sampling technique of nonpowered traps and a carbon dioxide attractant derived from yeast and sugar to explore how land use influences mosquito communities on four remote, tropical islands in the Australian Torres Strait. Using this technique, we collected > 11,000 mosquitoes from urban and sylvan habitats. We found that human land use significantly affected mosquito communities. Mosquito abundances and diversity were higher in sylvan habitats compared with urban areas, resulting in significantly different community compositions between the two habitats. An important outcome of our study was determining that there were greater numbers of disease-vectoring species associated with human habitations. On the basis of these findings, we believe that our novel sampling technique is a realistic tool for assessing mosquito communities in remote regions. |
| Databáze: | OpenAIRE |
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