A hydrologically driven model of swamp water mosquito population dynamics |
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| Authors: | Jeffrey Shaman Marc Spiegelman Mark Cane Marc Stieglitz |
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| Affiliation: | 1. College of Oceanic and Atmospheric Sciences, 104 COAS Admin Bldg., Oregon State University, Corvallis, OR 97331, USA;2. Department of Earth and Environmental Sciences, Columbia University, USA;3. Department of Civil and Environmental Engineering, Georgia Institute of Technology, GA, USA |
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| Abstract: | We develop a swamp water mosquito population model that is forced solely by environmental variability. Measured temperature and land surface wetness conditions are used to simulate Anopheles walkeri population dynamics in a northern New Jersey habitat. Land surface wetness conditions, which represent oviposition habitat availability, are derived from simulations using a dynamic hydrology model. Using only these two density-independent effects, population model simulations of biting Anoph. walkeri correlate significantly with light trap collections. These results suggest that prediction of mosquito populations and the diseases they transmit could be better constrained by inclusion of environmental variability. |
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| Keywords: | Population dynamics Environmental variability Hydrology Mosquitoes Swamp water Density-independent effects Population model Habitat availability |
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