Developmental Database for Phenology Models: Related Insect and Mite Species Have Similar Thermal Requirements

Jaros̆ı́k, Vojtĕch; Honěk, Alois; Magarey, Roger D.; Skuhrovec, Jiří

doi:10.1603/ec11247

Cited by 78 publications

(89 citation statements)

References 27 publications

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“…solenopsis i.e. cumulative female, cumulative male and generation due to low sample numbers at the lower temperature and use of daily observation data in this study even at the higher temperature [42]. Equation 1 is widely used for calculating the lower temperature thresholds [17-19] and it is the simplest method for estimation of thermal constant [43].…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, we could not apply the rate isomorphy principle where the proportion of time spent in preimaginal developmental stages of a population does not change with temperature [44]. However, if rate isomorphy is common, there should be little variation in the lower developmental threshold between stages within species and populations [25,42] which was found true for the local population of P . solenopsis on two hosts, hibiscus and cotton.…”

Section: Discussionmentioning

confidence: 99%

“…LDT tends to vary with the temperature of the niche to which the organism is adapted and there is a trade-off between LDT and SET among conspecifics [42,45]. In this study, we applied the SSI model to recalculate LDT and SET values, and estimated intrinsic optimum temperatures ( T ϕ ) from the mean developmental data of geographical populations which permitted statistical comparison of bioclimatic thresholds on different hosts.…”

Section: Discussionmentioning

confidence: 99%

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Bioclimatic Thresholds, Thermal Constants and Survival of Mealybug, Phenacoccus solenopsis (Hemiptera: Pseudococcidae) in Response to Constant Temperatures on Hibiscus

et al. 2013

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Temperature-driven development and survival rates of the mealybug, Phenacoccussolenopsis Tinsley (Hemiptera: Pseudococcidae) were examined at nine constant temperatures (15, 20, 25, 27, 30, 32, 35 and 40°C) on hibiscus ( Hibiscus rosa -sinensis L.). Crawlers successfully completed development to adult stage between 15 and 35°C, although their survival was affected at low temperatures. Two linear and four nonlinear models were fitted to describe developmental rates of P . solenopsis as a function of temperature, and for estimating thermal constants and bioclimatic thresholds (lower, optimum and upper temperature thresholds for development: Tmin, Topt and Tmax, respectively). Estimated thresholds between the two linear models were statistically similar. Ikemoto and Takai’s linear model permitted testing the equivalence of lower developmental thresholds for life stages of P . solenopsis reared on two hosts, hibiscus and cotton. Thermal constants required for completion of cumulative development of female and male nymphs and for the whole generation were significantly lower on hibiscus (222.2, 237.0, 308.6 degree-days, respectively) compared to cotton. Three nonlinear models performed better in describing the developmental rate for immature instars and cumulative life stages of female and male and for generation based on goodness-of-fit criteria. The simplified β type distribution function estimated Topt values closer to the observed maximum rates. Thermodynamic SSI model indicated no significant differences in the intrinsic optimum temperature estimates for different geographical populations of P . solenopsis . The estimated bioclimatic thresholds and the observed survival rates of P . solenopsis indicate the species to be high-temperature adaptive, and explained the field abundance of P . solenopsis on its host plants.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Bioclimatic Thresholds, Thermal Constants and Survival of Mealybug, Phenacoccus solenopsis (Hemiptera: Pseudococcidae) in Response to Constant Temperatures on Hibiscus

et al. 2013

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“…As direct measures for the (local) phenology and abundance of insects and their larvae are usually not available but as insect development is temperature driven we estimated their appearance from local temperature data based on the compilation of thermal requirements of 835 species, provided by Jarošík and colleagues [32] see [https://secure.fera.defra.gov.uk/pratique/downloadItem.cfm?id=491]). To this end, we calculated two measures that indicate the time when hibernating insects and larvae become available and the period over which (newly produced) insect larvae might be available.…”

Section: Methodsmentioning

confidence: 99%

Individual migration timing of common nightingales is tuned with vegetation and prey phenology at breeding sites

2014

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BackgroundThe timing of migration substantially influences individual fitness. To match peak requirements with peak resource availability, we hypothesized that individual migrants schedule spring migration in close relation to seasonal changes in environmental conditions along the route and particularly, at the breeding destination.To test this hypothesis, we investigated the timing of spring migration in male common nightingales Luscinia megarhynchos, a small Palearctic-African long-distance migrant, by linking spring migration timing to the phenology of local environmental conditions at non-breeding migratory stopover and breeding sites. In particular, we related individual migration decisions (i.e. departure and arrival) of nine males to site-specific vegetation phenology (based on remotely sensed vegetation index) and a proxy of food availability (based on insects’ thermal requirements).ResultsWe found weak relation of departures from non-breeding and no relation of stopover timing with local phenology. However, our results showed that individuals, which departed early from their non-breeding sites and arrived early at the breeding site closely matched spring green-up there. Early arrival at the breeding site meant also a close match with peak food availability for adults and in a time-lagged manner, for offspring.ConclusionOur findings suggest that male nightingale used cues other than local phenology for their departure decisions from non-breeding grounds and that there is some evidence for equalizing late departures during the course of migration.

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“…Likewise, experiments where plants are inoculated under different temperature and wetness regimes can be used to parameterize infection models (Madden and Ellis, 1988, Magarey et al, 2005). There have been a few efforts to compile parameter libraries, collecting developmental data including thresholds and degree day requirements for insects (Nietschke et al, 2007, Jarošík et al, 2011) and infection requirements for pathogens (Magarey et al, 2005). A common approach when data for a given species is lacking is to identify parameters from closely related species.…”

Section: Modelling Approaches and Perspectivesmentioning

confidence: 99%

Modelling the impacts of pests and diseases on agricultural systems

Donatelli

Magarey

Bregaglio

et al. 2017

Agricultural Systems

318

149

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The improvement and application of pest and disease models to analyse and predict yield losses including those due to climate change is still a challenge for the scientific community. Applied modelling of crop diseases and pests has mostly targeted the development of support capabilities to schedule scouting or pesticide applications. There is a need for research to both broaden the scope and evaluate the capabilities of pest and disease models. Key research questions not only involve the assessment of the potential effects of climate change on known pathosystems, but also on new pathogens which could alter the (still incompletely documented) impacts of pests and diseases on agricultural systems. Yield loss data collected in various current environments may no longer represent a adequate reference to develop tactical, decision-oriented, models for plant diseases and pests and their impacts, because of the ongoing changes in climate patterns. Process-based agricultural simulation modelling, on the other hand, appears to represent a viable methodology to estimate the impacts of these potential effects. A new generation of tools based on state-of-the-art knowledge and technologies is needed to allow systems analysis including key processes and their dynamics over appropriate suitable range of environmental variables. This paper offers a brief overview of the current state of development in coupling pest and disease models to crop models, and discusses technical and scientific challenges. We propose a five-stage roadmap to improve the simulation of the impacts caused by plant diseases and pests; i) improve the quality and availability of data for model inputs; ii) improve the quality and availability of data for model evaluation; iii) improve the integration with crop models; iv) improve the processes for model evaluation; and v) develop a community of plant pest and disease modelers.

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Developmental Database for Phenology Models: Related Insect and Mite Species Have Similar Thermal Requirements

Cited by 78 publications

References 27 publications

Bioclimatic Thresholds, Thermal Constants and Survival of Mealybug, Phenacoccus solenopsis (Hemiptera: Pseudococcidae) in Response to Constant Temperatures on Hibiscus

Bioclimatic Thresholds, Thermal Constants and Survival of Mealybug, Phenacoccus solenopsis (Hemiptera: Pseudococcidae) in Response to Constant Temperatures on Hibiscus

Individual migration timing of common nightingales is tuned with vegetation and prey phenology at breeding sites

Modelling the impacts of pests and diseases on agricultural systems

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