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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;

Main Article

Table 2

Yearly correlation coefficients (r) Great Swamp site.10-day lag, log (count + 1) (p<0.05)a

Year Aedes vexans Anopheles walkeri Culex pipiens
All 15 years 0.3433 0.2693 -0.2623
1984 0.5705 - -
1985 0.3023 - -
1986 -0.4186 - -0.5698
1987 - - -0.2695
1988 0.2479 0.3380 -0.2888
1989 0.8018 0.4551 -0.6007
1990 0.5505 - -0.2507
1991 - - -0.4271
1992 0.2022 - -
1993 - 0.4502 -0.6108
1994 -0.4699 -0.7101 -0.6099
1995 0.5453 0.4047 0.2657
1996 0.5927 0.3445 0.2914
1997 - - -0.2172
1998 0.6376 0.5341 -

aCorrelation coefficients based on full-record and yearly time-series regression analyses of the three most abundant species collected at the Great Swamp. The ILW was constructed for a depth of 0 m. log (count + 1), lagged 10 days, and used in the time-series regression analyses. Correlation coefficients for the full 15-year record are significant (p<0.0001). Yearly correlation coefficient values are listed only if significant at p<0.05.

Main Article

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