Journal article
Modelling the potential effects of climate factors on Dubas bug (Ommatissus lybicus) presence/absence and its infestation rate: A case study from Oman
Pest management science, Vol.75(11), pp.3039-3049
11/2019
PMID: 30891906
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Source: InCites
Abstract
BACKGROUND
Ommatissus lybicus de Bergevin (Hemiptera: Tropiduchidae) (Dubas Bug, DB) is an insect pest attacking date palms. It occurs in Arab countries including Oman. In this paper, the logistic, ordinary least square, and geographical weighted regressions were applied to model the absence/presence and density of DB against climate factors. A method is proposed for modelling spatially correlated prorations annually over the study period, based on annual and seasonal outbreaks. The historical 2006-2015 climate data were obtained from weather stations located in nine governorates in northern Oman, while dataloggers collected the 2017 microclimate data in eight of these nine governorates.
RESULTS
Logistic regression model showed the percentages of correctly predicted values using a cut-off point of 0.5 were 90%, 88% and 84%, indicating good classification accuracy. OLS and GWR models showed an overall trend of strong linear correlation between DB infestation levels and short- and long-term climate factors. The three models suggested that precipitation, elevation, temperature, humidity, wind direction and wind speed are important in influencing the spatial distribution and the presence/absence of dense DB populations.
CONCLUSION
The results provide an improved understanding of climate factors that impact DB's spread and is considered useful for managing DB infestations in date palm plantations. (c) 2019 Society of Chemical Industry
Details
- Title
- Modelling the potential effects of climate factors on Dubas bug (Ommatissus lybicus) presence/absence and its infestation rate: A case study from Oman
- Creators
- Khalifa M. Al Kindi - University of New EnglandPaul Kwan - University of New EnglandNigel R. Andrew - University of New EnglandMitchell Welch - University of New England
- Publication Details
- Pest management science, Vol.75(11), pp.3039-3049
- Publisher
- Wiley
- Number of pages
- 11
- Identifiers
- 991013087508602368
- Copyright
- © 2019 Society of Chemical Industry
- Academic Unit
- Faculty of Science and Engineering; Science
- Language
- English
- Resource Type
- Journal article