Remote sensing and geographical information analytical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities

School of Science and Technology, University of New England, Armidale, NSW, Australia
Centre for Behavioural and Physiological Ecology, University of New England, Armidale, NSW, Australia
DOI
10.7287/peerj.preprints.2716v1
Subject Areas
Agricultural Science, Ecology, Ecosystem Science, Entomology, Environmental Sciences
Keywords
GIS, Ommatissus lybicus, Dubas Bug, Remote Sensing
Copyright
© 2017 Al-Kindi et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Al-Kindi KM, Kwan P, Andrew N, Welch M. 2017. Remote sensing and geographical information analytical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities. PeerJ Preprints 5:e2716v1

Abstract

In order to understand the distribution and prevalence of Ommatissus lybicus (Homoptera: Tropiduchidae) as well as analyse their current biographical patterns and predict their future spread, comprehensive and highly sophisticated information on the environmental, climatic, and agricultural practices are essential. The analytical techniques available in modern spatial analysis packages, such as Remote Sensing and Geographical Information Systems, can help detect and model spatial links and correlations between the presence, absence and density of O. lybicus in response to climatic, environmental and human factors. The main objective of this paper is to review remote sensing and geographical information analytical techniques that can be applied in mapping and modelling the habitat and population density of O. lybicus in Oman. An exhaustive search of related literature revealed that there are few studies linking location-based infestation levels of pests like the O. lybicus with climatic, environmental and human practice related variables in the Middle East. Our review also highlights the accumulated knowledge and addresses the gaps in this area of research. Furthermore, it makes recommendations for future studies, and gives suggestions on monitoring and surveillance sites that are necessary in designing both local and regional level integrated pest management (IPM) policing of palm tree and other affected cultivated crops.

Author Comment

This is a submission to PeerJ for review.