2013
DOI: 10.1371/journal.pone.0073432
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The Impact of Climate Change on the Potential Distribution of Agricultural Pests: The Case of the Coffee White Stem Borer (Monochamus leuconotus P.) in Zimbabwe

Abstract: The production of agricultural commodities faces increased risk of pests, diseases and other stresses due to climate change and variability. This study assesses the potential distribution of agricultural pests under projected climatic scenarios using evidence from the African coffee white stem borer (CWB), Monochamus leuconotus (Pascoe) (Coleoptera: Cerambycidae), an important pest of coffee in Zimbabwe. A species distribution modeling approach utilising Boosted Regression Trees (BRT) and Generalized Linear Mo… Show more

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Cited by 72 publications
(43 citation statements)
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“…Maxent (v.3.4.1; http://biodiversityinformatics.amnh.org/open_source/maxent/) is a machine learning software package attempting to simulate and predict how the distribution of a selected species will be modified in response to given environment changes (mostly climate and land use changes) [45] with a maximum entropy approach for species distribution simulations. It has proven useful and is widely used in habitats (e.g., wetlands and agriculture) distribution modeling [46][47][48][49][50]. In this study, the model was developed by running 10 replicates with randomly splitting the distribution data into two subsets: 75% for calibrating and training the models and the reminder for testing and evaluating the model performance [51].…”
Section: Quantitatively Distinguishing the Impacts Of Anthropogenic Amentioning
confidence: 99%
“…Maxent (v.3.4.1; http://biodiversityinformatics.amnh.org/open_source/maxent/) is a machine learning software package attempting to simulate and predict how the distribution of a selected species will be modified in response to given environment changes (mostly climate and land use changes) [45] with a maximum entropy approach for species distribution simulations. It has proven useful and is widely used in habitats (e.g., wetlands and agriculture) distribution modeling [46][47][48][49][50]. In this study, the model was developed by running 10 replicates with randomly splitting the distribution data into two subsets: 75% for calibrating and training the models and the reminder for testing and evaluating the model performance [51].…”
Section: Quantitatively Distinguishing the Impacts Of Anthropogenic Amentioning
confidence: 99%
“…The white stem borer has been little studied, but it has been observed to be more common close to shade trees (Rutherford and Phiri 2006). It was recently proposed that research is needed to explore if agroforestry can be an effective way of managing the stem borer (Kutywayo et al 2013). Based on these observations, we hypothesized that the abundance of coffee berry borers would decrease with the level of shade, whereas white stem borer abundance would increase.…”
Section: Introductionmentioning
confidence: 99%
“…Based on these observations, we hypothesized that the abundance of coffee berry borers would decrease with the level of shade, whereas white stem borer abundance would increase. Recent modeling of climate change scenarios suggests that the problems of both pests are likely to increase in many parts of Africa (Jaramillo et al 2009(Jaramillo et al , 2011Kutywayo et al 2013). To simulate global warming in the next 15-50 years, we studied the effect of shade on the pests at two different altitudes.…”
Section: Introductionmentioning
confidence: 99%
“…This movement cause insects to adapt to new host plants thereby altering the structure, diversity and functioning of ecosystems (IPCC, 2007) and increasing the host range of insect pests (Jaworski & Hilszezenski, 2013). In a study that was conducted in Zimbabwe, using the Generalized Linear Models (GLM) on coffee white stem borer (Monochamus leuconotus P.), it was predicted that the area suitable for the insect will increase in Chimanimani district by up to 200% by 2080 (Kutywayo et al, 2013). This suggests that some geographical areas that are too cold or unsuitable for certain insect species under the current climate scenario may become susceptible to insect pests under future climates.…”
Section: The Impact Of Elevated Temperature On the Biology Of Insect mentioning
confidence: 99%