2017
DOI: 10.1093/aesa/sax071
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Arthropod Development’s Response to Temperature: a Review and New Software for Modeling

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Cited by 50 publications
(39 citation statements)
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“…In addition to thermal constants, the lower development threshold is crucial for characterizing degree-day accumulations, adult emergence, overwintering capabilities, and range expansion of pest and natural enemy species (Jalali et al 2009, Luhring and DeLong 2016, Mirhosseini et al 2017, Ratkowsky and Reddy 2017, Shi et al 2017. In our study, the critical lower temperatures (T min ) for the development of D. aligarhensis estimated by the linear and nonlinear equations were consistently higher under fluctuating temperatures than those estimated under constant temperature regimen counterparts (Tables 4 and 5).…”
Section: Discussionmentioning
confidence: 51%
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“…In addition to thermal constants, the lower development threshold is crucial for characterizing degree-day accumulations, adult emergence, overwintering capabilities, and range expansion of pest and natural enemy species (Jalali et al 2009, Luhring and DeLong 2016, Mirhosseini et al 2017, Ratkowsky and Reddy 2017, Shi et al 2017. In our study, the critical lower temperatures (T min ) for the development of D. aligarhensis estimated by the linear and nonlinear equations were consistently higher under fluctuating temperatures than those estimated under constant temperature regimen counterparts (Tables 4 and 5).…”
Section: Discussionmentioning
confidence: 51%
“…considered standard to the field of investigation or are preferred for a particular taxonomic group (Mirhosseini et al 2017, Ratkowsky and Reddy 2017, Shi et al 2017. As a result, alternative models that could provide superior fits to experimental datasets may be overlooked (Quinn 2017).…”
Section: Discussionmentioning
confidence: 99%
“…The thermal performance curve approach was built out of uncertainties regarding the underlying mechanisms in insects, and the relationship between temperature and development in these models should be considered in regard to their associated assumptions (Sinclair et al., ). Some initiatives, such as the ILCYM (Insect Life Cycle Modeling) software for insect pests (Tonnang et al., ), the ArthroThermoModel software (Mirhosseini et al., ), or the R package devRate for arthropods (Rebaudo et al., ; R Core Team, ; Rebaudo & Struelens, ) may be a way out of selecting the previously fitted model in the literature on a similar species without considering alternatives, a practice that should be avoided (Quinn, ). Choosing between models on the basis of criteria such as Akaike's Information Criterion (AIC) may be an intuitive choice, but must be used with caution as each criterion has its advantages and disadvantages (e.g., AIC favors more complex models, which could lead to an overfitting of the data), and combination of various methods should be preferred (Angilletta, ).…”
Section: Recent Advances and Future Directionsmentioning
confidence: 99%
“…(), Mirhosseini et al. (), and Quinn () for that purpose – but to document how the different approaches have evolved over time, in order to explain why so many models are available, and to identify current and future challenges.…”
Section: Introductionmentioning
confidence: 99%
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