Potential Invasive Pests of Agricultural Crops 2013
DOI: 10.1079/9781845938291.0412
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Insect Life Cycle Modelling (ILCYM) software - a new tool for regional and global insect pest risk assessments under current and future climate change scenarios.

Abstract: This chapter describes the application of ILCYM (Insect Life Cycle Modelling) software, which supports the development of process-oriented temperature-driven and age-stage structured insect phenology/population models. ILCYM interactively leads the user through the steps for developing insect phenology models, for conducting simulations, and for producing potential population distribution and risk mapping under current or future temperature (climate change) scenarios. The phenology model developed for the pota… Show more

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Cited by 32 publications
(33 citation statements)
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“…For data analysis and model development, the Insect Life Cycle Modeling (ILCYM) software package (Sporleder et al. ), version 4, was used. The package uses R‐statistics (R Development Core Team, ) for all statistical calculations.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For data analysis and model development, the Insect Life Cycle Modeling (ILCYM) software package (Sporleder et al. ), version 4, was used. The package uses R‐statistics (R Development Core Team, ) for all statistical calculations.…”
Section: Methodsmentioning
confidence: 99%
“…The temperature at each time interval was predicted using a cosine‐wave function between minimum and maximum temperature input data as described by Sporleder et al. (, p. 419). Each life table simulation was started with a number of 100 fresh eggs.…”
Section: Methodsmentioning
confidence: 99%
“…Simulations and mapping of the current and future distribution of L. huidobrensis using ILCYM the software (Sporleder et al 2009, 2013) clearly indicates that due to predicted climate change, this species is expected to expand its range to higher altitudes as we all as to the southern Andean region (Mujica 2016b) and higher altitudes globally. Further, the pest will develop more generations per year thus increasing its abundance and damage potential.…”
Section: Climate Change and Future Invasions/establishmentmentioning
confidence: 99%
“…The relationship between developmental rates and different temperature regimes was analysed by 15 non‐linear regression models using the software Insect Life Cycle Modelling (ILCYM) (Sporleder et al. 2009, 2011).…”
Section: Methodsmentioning
confidence: 99%
“…The relationship between developmental rates and different temperature regimes was analysed by 15 non-linear regression models using the software Insect Life Cycle Modelling (ILCYM) (Sporleder et al 2009(Sporleder et al , 2011. The statistical analysis implemented in this software selected the best-fitting model to quantify the effect of temperature on the development rate of both leafhopper species according to inbuilt model selections criteria, for example the Akaike's information criterion (AIC) and the coefficient of determination R 2 , which explains how the models capture the variability within the data.…”
Section: Developmental Rate Models and Statistical Analysismentioning
confidence: 99%