2012
DOI: 10.1007/s10144-012-0315-8
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Modeling the interaction of physiological time, seasonal weather patterns, and delayed mating on population dynamics of codling moth,Cydia pomonella(L.) (Lepidoptera: Tortricidae)

Abstract: The effect of delaying female mating on population growth in codling moth (Cydia pomonella (L.)) was found to act on a physiological time (degree-day) basis and was predictable using a simple quadratic equation. When combined with previous work on degree-day based mortality, we were able to evaluate how the magnitude of population reduction and survival varied between sites, years, and generations at locations in California, Michigan, Pennsylvania and Washington states. In general, reductions in population gro… Show more

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Cited by 14 publications
(17 citation statements)
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References 26 publications
(35 reference statements)
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“…Specifically, knowledge of the pest seasonal biology could help to identify periods of vulnerability in D. suzukii ’s life cycle. Such information is of crucial importance for all stakeholders of the soft-fruit sector [13,14,15], and also to make informed decisions on control measures to reduce further population buildup [13,16,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…Specifically, knowledge of the pest seasonal biology could help to identify periods of vulnerability in D. suzukii ’s life cycle. Such information is of crucial importance for all stakeholders of the soft-fruit sector [13,14,15], and also to make informed decisions on control measures to reduce further population buildup [13,16,17,18].…”
Section: Introductionmentioning
confidence: 99%
“…The ability to describe, forecast, and more effectively manage damaging pest populations can benefit producers, extension agents, and practitioners (Almeida et al 2010 ; Cianci et al 2013 ; Focks et al 1995 ; Jones and Wiman 2012 ). Phenology models based on accumulation of heat units or degree days (DD) (Baskerville and Emin 1969 ; Wilson and Barnett 1983 ) have become the standard method for determining when to treat crops for pests.…”
Section: Introductionmentioning
confidence: 99%
“…The temporal position and availability dimensions of temperature change affect local community selection processes. Shifts in temporal position (e.g., seasonality and the earlier onset of spring, figure 1 ) and temporal availability (e.g., duration of temperatures above a physiological threshold, figure 1 ) drive demographic change (Jones and Wiman 2012 , Gaillard et al 2013 , Matechou et al 2014 , figure 4 ). For instance, variation in spring timing (temporal position) between years reduced roe deer ( Capreolus capreolus ) population growth rates by limiting successful spring recruitment (Gaillard et al 2013 ).…”
Section: Linking Community Change Processes and Temperature Dimensionmentioning
confidence: 99%