2003
DOI: 10.1071/ap03015
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Plant pathogens in a changing world

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Cited by 76 publications
(39 citation statements)
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References 58 publications
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“…However, we would emphasize that endemic pests are much more likely to have antagonists and natural enemies in their naturalized habitat (Torchin et al 2003). In contrast, invasive pests in new geographical ranges tend to by limited more by climate than by biotic interactions (Scherm and Coakley 2003).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, we would emphasize that endemic pests are much more likely to have antagonists and natural enemies in their naturalized habitat (Torchin et al 2003). In contrast, invasive pests in new geographical ranges tend to by limited more by climate than by biotic interactions (Scherm and Coakley 2003).…”
Section: Introductionmentioning
confidence: 99%
“…Whether the introduction of a new species results in its becoming invasive or not depends, in part, on the biological and physical characteristics of the habitat where it is initially introduced. Those habitat characteristics are greatly influenced by climate (Scherm and Coakley 2003). Climate, in turn, is being altered by human activity (IPCC 2007).…”
Section: Introductionmentioning
confidence: 99%
“…To be able to identify these evolutionary processes of pathogen populations and to update short-term disease forecasting models with this information, long-term data sets from field observations are required. They will also help discriminating population shifts due to ecotypes adapted to changed climate from pathogen alterations driven by agronomical changes in the cropping systems (Scherm and Coakley 2003). In summary, the information gained with long-term data sets may help to improve the accuracy of modelling approaches significantly (Jeger and Pautasso 2008).…”
Section: Racca Et Al 2012mentioning
confidence: 99%
“…Temporal variability in climate can be used to draw inference about the potential effects of climate change through the argument that temporary effects of a year with unusual climatic features are likely to represent the effects of longer-term changes. More recently, Scherm (126,127) has identified three continuing problems with the application of models for predicting climate change effects on disease. First, model inputs have a high degree of uncertainty (75, 125).…”
Section: Models For Disease Predictionmentioning
confidence: 99%