2017
DOI: 10.1016/j.ecolmodel.2017.03.015
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Advances in crop insect modelling methods—Towards a whole system approach

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Cited by 89 publications
(64 citation statements)
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“…Diet can affect temperature tolerances, and the temperature threshold for development was several degrees lower when fall armyworms were fed leaves from early vegetative maize plants then when fed leaves from late vegetative or reproductive plants 38 (Supplementary Table S1). Environmental conditions can alter the impacts of biopesticides, and infection rates of diseases and natural enemies that control pests, including in fall armyworm 3,39,40 . Predictions of range, abundance, impacts, and the outcomes of Integrated Pest Management strategies would therefore benefit from a better understanding of the relationship between strains, diet, pesticide effectiveness and environmental limits on distributions.…”
Section: Discussionmentioning
confidence: 99%
“…Diet can affect temperature tolerances, and the temperature threshold for development was several degrees lower when fall armyworms were fed leaves from early vegetative maize plants then when fed leaves from late vegetative or reproductive plants 38 (Supplementary Table S1). Environmental conditions can alter the impacts of biopesticides, and infection rates of diseases and natural enemies that control pests, including in fall armyworm 3,39,40 . Predictions of range, abundance, impacts, and the outcomes of Integrated Pest Management strategies would therefore benefit from a better understanding of the relationship between strains, diet, pesticide effectiveness and environmental limits on distributions.…”
Section: Discussionmentioning
confidence: 99%
“…As more information becames available, climate models are becoming increasingly more valuable to assist in the prediction of habitat suitability for invasive species. Although these models prove valuable, the establishment of a suitable model is not a straightforward process (Newbery, Qi, & Fitt,; Macfadyen & Kriticos, ; Tonnang et al, ; Ward & Masters, ) as several factors come into play during the development, selection/choice, and application of these models. Also, the ability of the developed model to accurately predict future invasions is highly reliant on accurate historical data and a good understanding of the factors that determine settlement of the targeted species.…”
Section: Determinants Of Invasivenessmentioning
confidence: 99%
“…Many of these can be species specific, while other factors relate to the resource/niche availability (Ward & Masters, ; Wan and Yan, 2016). Hence, the strong notion toward making use of a whole system approach during the development of such a model as was recently reviewed (Tonnang et al, ).…”
Section: Determinants Of Invasivenessmentioning
confidence: 99%
“…Process-based models of population dynamics (T-4) can be combined with abundance estimates from monitoring programs to yield short-term predictions of abundance (and therefore risk of forest damage) that can be used to judiciously prepare for and implement suppression programs (Venette et al 2010). Many detection and suppression programs can be improved with refinement of models to predict the seasonal timing of various insect life stages, which are changing and will continue to change due to the sensitivity of insect phenology to temperature (T-3) (Tonnang et al 2017). Some positive examples of successful mitigation include development of chestnut root stocks resistant to Phytophthora (Pereira-Lorenzo et al 2010) and biological control of Gonipterus platensis, a highly invasive defoliator of Eucalyptus, with a wasp from Australia that is an egg parasitoid (Reis et al 2012).…”
Section: Improved Monitoring Prediction and Mitigation Of Establishmentioning
confidence: 99%