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Title: Modelling spatiotemporal patterns of dubas bug infestations on date palms in northern Oman: A geographical information system case study
Contributor(s): Al-Kindi, Khalifa M (author); Kwan, Paul H  (author); Andrew, Nigel R  (author)orcid ; Welch, Mitchell  (author)orcid 
Publication Date: 2017
Open Access: Yes
DOI: 10.1016/j.cropro.2016.11.033
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Abstract: The aim of this paper is to demonstrate how Geographical Information System (GIS) can be used effectively to study infestations of Dubas bug (DB), 'Ommatissus lybicus' Bergevin, in date palm ('Phoenix dactylifera L.') that occurred in northern Oman during 2006-2015. The ability to produce geographical and spatiotemporal layers using GIS is expected to serve an important role in both monitoring and surveillance of DB infestation and its impact in the study area. By using of spatial analytic and geostatistical functions in ArcGIS 10.3™, data that quantified the infestation levels of DB over a 10-year period from 2006 to 2015 were used to map and model the risk of infestation spatiotemporally. We modelled the spatiotemporal risk of DB infestation by performing hotspot analysis using the Getis-Ord statistic, Gi*. Our results show that annual hotspots over the study period were mainly concentrated in the mountain plains, particularly where farms are located between gradient elevations. Furthermore, the distribution pattern varied considerably with time and space. These results demonstrated the usefulness in following annual DB infestation patterns by studying the average seasonal infestation levels and distribution of hotspots as they can facilitate the allocation of resources for the treatment of infestations and allow for more effective monitoring of its influence on date palm trees.
Publication Type: Journal Article
Source of Publication: Crop Protection, v.93, p. 113-121
Publisher: Elsevier BV
Place of Publication: The Netherlands
ISSN: 1873-6904
Field of Research (FOR): 080606 Global Information Systems
070107 Farming Systems Research
060808 Invertebrate Biology
Socio-Economic Outcome Codes: 820299 Horticultural Crops not elsewhere classified
890202 Application Tools and System Utilities
829899 Environmentally Sustainable Plant Production not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
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