Intrinsic Optimum Temperature for Development of Insects and Mites

Ikemoto, Takaya

doi:10.1603/0046-225x-34.6.1377

Cited by 114 publications

(141 citation statements)

References 22 publications

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“…Third, the present model that described the developmental processes of a representative Anopheles mosquito is unable to adequately or precisely indicate the temporal patterns of the mosquito emergence, especially in tropical regions. Using the original concept of "intrinsic optimum temperature for development" and a thermodynamics model, Ikemoto (2005) concluded that the growth of Anopheles mosquitoes is suppressed and stressed by temperatures exceeding 30°C. According to our projections, the future G max values in the all the tropical regions would increase by 2 generations.…”

Section: Discussionmentioning

confidence: 99%

“…According to our projections, the future G max values in the all the tropical regions would increase by 2 generations. However, considering that high temperatures injure mosquitoes (Depinay et al, 2004;Ikemoto, 2005;2008), it is possible that these increases in G max in tropical regions will not occur. The possibility of a subsequent generation is only one of the factors for determining the magnitude of a population.…”

Section: Discussionmentioning

confidence: 99%

“…Other ecophysiological and entomological approaches have been employed to explain the temporal occurrence of vectors by describing their life histories. These models calculate development according to air temperature at each developmental stage of the insect, based on the assumption that the growth of an insect depends on the temperature of its habitat (Hopp & Foley, 2001;Ikemoto, 2003;2005;2008;Depinay et al, 2004;Pascual et al, 2006). Temperature affects the survival of the parasite only during the life cycle of Anopheles mosquitoes.…”

Section: Biological Modelmentioning

confidence: 99%

“…According to experimental data, the optimal air temperature is between 22°C and 30°C; temperatures exceeding this value affect the activity of Anopheles mosquitoes. Although such ecophysiological models can generally explain the temporal population dynamics of pest insects at a specific site, they are unable to estimate the geographical distribution of the Anopheles vector (Depinay et al, 2004;Ikemoto, 2005). Therefore, the quantities of the available water and temperatures of the available aquatic habitats, which vary rapidly, must be incorporated into the model, because immature mosquitoes develop in natural or artificial water bodies as mentioned above.…”

Section: Biological Modelmentioning

confidence: 99%

See 3 more Smart Citations

Possible Effects of Future Climate Changes on the Maximum Number of Generations of Anopheles in Monsoon Asia

Ohta¹,

Kaga²

2011

Climate Change - Geophysical Foundations and Ecological Effects

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Biological Modelmentioning

confidence: 99%

Section: Biological Modelmentioning

confidence: 99%

See 2 more Smart Citations

Possible Effects of Future Climate Changes on the Maximum Number of Generations of Anopheles in Monsoon Asia

Ohta¹,

Kaga²

2011

Climate Change - Geophysical Foundations and Ecological Effects

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“…Insect demography and phenology have always been very important research fields in entomology and pest management, and Carey (2001) and Ikemoto (2005) present state-of-the-art reviews of the two fields. Demography and phenology are frequently the focus of studies on aphid ecology and biology (Hentz & Nuessly, 2004;Liu, 2004, McCornack et al, 2004Qureshi & Michaud, 2005).…”

Section: Introductionmentioning

confidence: 99%

Life tables and demographic statistics of Russian wheat aphid (Hemiptera: Aphididae) reared at different temperatures and on different host plant growth stages

S.¹,

Bechinski²

2009

Eur. J. Entomol.

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Abstract. Laboratory experiments were used to investigate the influences of 25 combinations of temperature and barley plant growth stage (5 × 5 factorial combination of temperature and barley plant growth stage) on the development, survival and reproduction of the Russian wheat aphid (RWA), Diuraphis noxia (Mordvilko). For each of the 25 treatments, the developmental time and nymphal production of 72 RWA individuals were recorded (1800 RWA in total) throughout their entire lifetimes. The collected data were used for analyzing demography, modelling phenology, and simulating population growth of RWA. In this paper, the results of demographic analyses are reported. Specifically, for each treatment, cohort life tables, reproductive heterogeneity tables (parity and birth intervals), and reproductive schedule tables were constructed, and demographic parameters such as intrinsic rate of increase, life-span, fecundity, life table entropy, etc. calculated. Based on these analyses, the most important summary demographic statistics are reported. Using the intrinsic rate of increase (rm) as an example, a procedure is demonstrated that builds a dynamic rm model by applying the Best Subset Regression approach. A more comprehensive (considering reproductive heterogeneity and schedule tables) yet concise (comprising dynamic rm models) demographic model than that based on standard life table analysis alone is presented.

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Population of the temperate mosquito, Culex pipiens, decreases in response to habitat climatological changes in future

2017

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Predictions of the temporal distribution of vector mosquitoes are an important issue for human health because the response of mosquito populations to climate change could have implications for the risk of vector‐borne diseases. To elucidate the effects of climate change on mosquito populations inhabiting temperate regions, we developed a Physiology‐based Climate‐driven Mosquito Population model for temperate regions. For accurately reproducing the temporal patterns observed in mosquito populations, the key factors were identified by implementing the combinations of factors into the model. We focused on three factors: the effect of diapause, the positive effect of rainfall on larval carrying capacity, and the negative effect of rainfall as the washout mortality on aquatic stages. For each model, parameters were calibrated using weekly observation data of a Culex pipiens adult population collected in Tokyo, Japan. Based on its likelihood value, the model incorporating diapause, constant carrying capacity, and washout mortality was the best to replicate the observed data. By using the selected model and applying global climate model data, our results indicated that the mosquito population would decrease and adults’ active season would be shortened under future climate conditions. We found that incorporating the washout effect in the model settings or not caused a difference in the temporal patterns in the projected mosquito populations. This suggested that water resources in mosquito habitats in temperate regions should be considered for predicting the risk of vector‐borne diseases in such regions.

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Intrinsic Optimum Temperature for Development of Insects and Mites

Cited by 114 publications

References 22 publications

Possible Effects of Future Climate Changes on the Maximum Number of Generations of Anopheles in Monsoon Asia

Possible Effects of Future Climate Changes on the Maximum Number of Generations of Anopheles in Monsoon Asia

Life tables and demographic statistics of Russian wheat aphid (Hemiptera: Aphididae) reared at different temperatures and on different host plant growth stages

Population of the temperate mosquito, Culex pipiens, decreases in response to habitat climatological changes in future

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