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Volume 8, Number 1—January 2002

Perspective

Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water

Jeffrey ShamanComments to Author , Marc Stieglitz, Colin Stark, Sylvie Le Blancq, and Mark Cane
Author affiliations: Columbia University, Palisades, New York, USA;

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Figure 5

Figure 5 - Logistic regression analysis of the complete 15-year record of Great Swamp site Aedes vexans. Left vertical axis provides the predicted probability that the count of mosquitoes will lie at or below a given threshold. Surface wetness (the index of local wetness [ILM]) increases from left to right. Dots between lines illustrate the distribution of ILW values for mosquito counts falling between two successive threshold line values.

Figure 5. Logistic regression analysis of the complete 15-year record of Great Swamp site Aedes vexans. Left vertical axis provides the predicted probability that the count of mosquitoes will lie at or below a given threshold. Surface wetness (the index of local wetness [ILM]) increases from left to right. Dots between lines illustrate the distribution of ILW values for mosquito counts falling between two successive threshold line values.

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