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Cross-correlation patterns of air and soil temperatures, rainfall and Diaprepes abbreviatus root weevil in citrus by Hong Li; Stephen H Futch; James P Syvertsen is a Agricultural and Biological Sciences article available to read on EtoBox.

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## Abstract Time series cross‐correlation analysis is appropriate when measuring relationships between two different time series. Using this approach, the authors quantified the relationship between the time series air temperature (AT), soil temperature (ST), rainfall, relative humidity (RH) and __Diaprepes abbreviatus__ (L.) (Coleoptera: Curculionidae) root weevil across a period of 30 months, and examined how closely the distribution of __Diaprepes__ root weevil was related to AT, ST, rainfall and RH within this period of time. The study was conducted on a poorly drained Spodosol in a citrus [__Citrus sinensis__ (L.) Osb.] grove in DeSoto County, south‐west Florida, from April 2001 to September 2003. Adult weevil populations were monitored using 100 Tedders traps in a 30 × 15 m grid. Weather data (0.6 m AT, 0.1 m ST, 2 m rainfall and 2 m RH) were monitored by Florida Automated Weather Networks. The monthly mean and standard deviation were 22.3 ± 4.0 °C for AT, 24.7 ± 4.2 °C for ST, 146.0 ± 122.7 mm for rainfall, 78.2 ± 4.7% for RH and 0.74 ± 0.59 adults trap^−1^ for the root weevil. Weevil density was positively correlated with AT (__r__ = 0.45, __P__ < 0.0133), ST (__r__ = 0.49,

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Author

Hong Li; Stephen H Futch; James P Syvertsen

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1526-498X)

Published

2007

Language

EN

Field

Agricultural and Biological Sciences (Life Sciences)