Modeling Embryonic Development in &lt;I&gt;Sitona lineatus&lt;/I&gt; (Coleoptera: Curculionidae) in Fluctuating Temperatures

Lerin, Jacques

doi:10.1603/0046-225x-33.2.107

Cited by 12 publications

(13 citation statements)

References 9 publications

(10 reference statements)

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“…Nevertheless, predicting performance in variable environments remains challenging because (i) physiological rates relate non-linearly to temperature, and (ii) many organisms can withstand short periods at chronically lethal temperatures (Christian et al, 1986;Tingle and Copland, 1988). The models that most accurately predict phenotypes in variable environments tend to be very complex (van der Have, 2002;Davidson et al, 2003;Lerin, 2004;Georges et al, 2005). Unfortunately, complex models can overfit empirical data, reducing the generality of conclusions and the predictability of patterns (Burnham and Anderson, 2002).…”

Section: Discussionmentioning

confidence: 99%

Predicting the physiological performance of ectotherms in fluctuating thermal environments

Niehaus

Angilletta

Sears

et al. 2012

Journal of Experimental Biology

225

206

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SUMMARYPhysiological ecologists have long sought to understand the plasticity of organisms in environments that vary widely among years, seasons and even hours. This is now even more important because human-induced climate change is predicted to affect both the mean and variability of the thermal environment. Although environmental change occurs ubiquitously, relatively few researchers have studied the effects of fluctuating environments on the performance of developing organisms. Even fewer have tried to validate a framework for predicting performance in fluctuating environments. Here, we determined whether reaction norms based on performance at constant temperatures (18, 22, 26, 30 and 34°C) could be used to predict embryonic and larval performance of anurans at fluctuating temperatures (18-28°C and 18-34°C). Based on existing theory, we generated hypotheses about the effects of stress and acclimation on the predictability of performance in variable environments. Our empirical models poorly predicted the performance of striped marsh frogs (Limnodynastes peronii) at fluctuating temperatures, suggesting that extrapolation from studies conducted under artificial thermal conditions would lead to erroneous conclusions. During the majority of ontogenetic stages, growth and development in variable environments proceeded more rapidly than expected, suggesting that acute exposures to extreme temperatures enable greater performance than do chronic exposures. Consistent with theory, we predicted performance more accurately for the less variable thermal environment. Our results underscore the need to measure physiological performance under naturalistic thermal conditions when testing hypotheses about thermal plasticity or when parameterizing models of life-history evolution. Supplementary material available online at

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Section: Discussionmentioning

confidence: 99%

Predicting the physiological performance of ectotherms in fluctuating thermal environments

Niehaus

Angilletta

Sears

et al. 2012

Journal of Experimental Biology

225

206

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“…Female pea leaf weevils are capable of producing 2,000 Ð3,000 eggs per season (Markkula and Koppa 1959) and as many as 40 per day under optimal conditions (Lerin 2004). Oviposition occurs when temperatures range between 11 and 26ЊC, with peak oviposition in the Palouse region typically occurring during the second and third week of June (Fisher and OÕKeeffe 1979b).…”

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confidence: 99%

Influence of Tillage on Adult and Immature Pea Leaf Weevil (Coleoptera: Curculionidae) Densities in Pea

Hanavan

Bosque‐Pérez

Schotzko

et al. 2010

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The pea leaf weevil, Sitona lineatus (L.) (Coleoptera: Curculionidae), has been a major pest of pea, Pisum sativum L., in eastern Washington and northern Idaho since its introduction to the region in the early 1970s. Eggs are deposited in the spring on the soil surface and first instars hatch and move to pea root nodules, where larvae feed before they pupate and adults emerge in mid- to late summer. No-tillage practices are known to reduce pea leaf weevil colonization in pea, but the effects of tillage on larval densities and subsequent adult emergence have not been examined. During 2005, 2006, and 2007, we compared densities of colonizing adult and immature pea leaf weevils on pea plots grown using conventional tillage and no-tillage. In 2005 and 2006, emergence of adult pea leaf weevil was monitored in the same plots. Densities of colonizing adult and immature pea leaf weevil were significantly higher in conventional tillage plots. Larvae in conventional tillage were further along in development than larvae in no-tillage plots during June and July. Densities of emerging adult pea leaf weevil were significantly greater from conventional tillage than no-tillage plots. Based on densities of colonizing and subsequent emerging adults, survival of weevils from egg through adult was greater in conventional tillage plots. Soils under no-tillage are cooler, resulting in later emergence of the pea crop and delayed root nodule development, possibly affecting the ability of first-instar pea leaf weevil to locate host plant roots. Our results indicate no-tillage fields are less suitable for pea leaf weevil colonization and survival than conventional tillage fields.

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“…Acceleration of insect development at a low temperature and retardation at a high temperature are shown to be implicit to the assumption of the nonlinearity of development (Jiang et al 2008). Nonlinear models are more accurate at extreme temperatures beyond the intermediate linear range and thus (Lerin 2004) and both Lactin and the Sharp and DeMichele models for S. discoideus (Arbab et al 2008). For S. discoideus, the Lactin and the Sharp and DeMichele models were reported to provide the best fit to the data, T opt and T max (Arbab et al 2008).…”

Section: Discussionmentioning

confidence: 97%

“…The validation of temperature-dependent developmental models requires accurate prediction of development in the field, in turn based on measuring temperature in the litter layer and topsoil where S. lepidus eggs are developing. While it is possible to retrieve eggs from the soil there is no direct way of testing the dynamics of egg hatch in situ (Lerin 2004). However, the developmental rate model derived from this study and using an appropriate temperature threshold range can be used to estimate the developmental time of the egg stage under field conditions for the purpose of developing an improved pest management program targeting practice S. lepidus.…”

Section: Discussionmentioning

confidence: 99%

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Determining suitability of thermal development models to estimate temperature parameters for embryonic development of Sitona lepidus Gyll. (Coleoptera: Curculionidae)

Arbab

McNeill

2011

J Pest Sci

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The clover root weevil, Sitona lepidus Gyll. is a pest of clovers (Trifolium spp.), particularly white clover (T. repens). Larva feeding severely impairs the capacity of white clover to fix atmospheric nitrogen, by attacking the nitrogen-fixing root nodules. Development of the egg stage was studied at six different constant temperatures ranging from 9 to 30°C to improve the basis for phenological forecasts. Development occurred over the entire range of temperatures, although hatching percentage at 30°C was only 24.4% compared to 90.1% at 28.5°C. Developmental time decreased with increase in temperature from 9 to 28.5°C but increased markedly at 30°C. At 28.5°C, the embryo development period was the shortest (10.35 days); whereas at 9°C, this parameter was the longest (55.08 days). Using linear regression, the lower threshold temperature was calculated 4.38°C and the thermal constant was 236.45 degree-days. The relationship between constant temperature and developmental rate was evaluated using nine models. The suitability of the models was evaluated based on eight indicators (R 2 , RSS, R adj 2 , AIC, BIC, AICC, W j , and Z i ). Of the nonlinear models, the Logan-6, Sharpe and DeMichele, and Lactin models were the most accurate at calculating t opt of 27, 27.50, and 28°C, respectively. The results suggest that of the three models (Lactin, Briere, and Hilbert and Logan), that estimated critical temperatures, (t min , t opt , and t max ), Lactin gave the most suitable fit of data. This response of S. lepidus to temperature can be used for developing phonological models to predict the timing of egg hatch which are important for management programs targeting the weevil.

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Modeling Embryonic Development in <I>Sitona lineatus</I> (Coleoptera: Curculionidae) in Fluctuating Temperatures

Cited by 12 publications

References 9 publications

Predicting the physiological performance of ectotherms in fluctuating thermal environments

Predicting the physiological performance of ectotherms in fluctuating thermal environments

Influence of Tillage on Adult and Immature Pea Leaf Weevil (Coleoptera: Curculionidae) Densities in Pea

Determining suitability of thermal development models to estimate temperature parameters for embryonic development of Sitona lepidus Gyll. (Coleoptera: Curculionidae)

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