Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities

Khalifa M. Al-Kindi; Paul Kwan; Nigel R. Andrew; Mitchell Welch

doi:10.7717/peerj.3752

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Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities

Journal article

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Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities

Khalifa M. Al-Kindi, Paul Kwan, Nigel R. Andrew and Mitchell Welch

PeerJ (San Francisco, CA), Vol.5, e3752

31/08/2017

DOI: https://doi.org/10.7717/peerj.3752

PMCID: PMC5581945

PMID: 28875085

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Abstract

Multidisciplinary Sciences

Science & Technology

Agricultural Science

Entomology

Environmental Sciences

Plant Science

Coupled Natural and Human Systems

In order to understand the distribution and prevalence of Ommatissus lybicus (Hemiptera: Tropiduchidae) as well as analyse their current biographical patterns and predict their future spread, comprehensive and detailed information on the environmental, climatic, and agricultural practices are essential. The spatial analytical techniques such as Remote Sensing and Spatial Statistics Tools, 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 relevant analytical techniques that can be applied in mapping and modelling the habitat and population density of O. lybicus. An exhaustive search of related literature revealed that there are very limited studies linking location-based infestation levels of pests like the O. lybicus with climatic, environmental, and human practice related variables. This 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 methods in designing both local and regional level integrated pest management strategies of palm tree and other affected cultivated crops.

Details

Title: Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities
Creators: Khalifa M. Al-Kindi - University of New England
Paul Kwan - University of New England
Nigel R. Andrew - University of New England
Mitchell Welch - University of New England
Publication Details: PeerJ (San Francisco, CA), Vol.5, e3752
Publisher: Peerj Inc
Number of pages: 36
Identifiers: 991013087220502368
Copyright: (c) 2017 Al-Kindi et al. Distributed under Creative Commons CC-BY 4.0.
Academic Unit: Faculty of Science and Engineering; Science
Language: English
Resource Type: Journal article

Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities

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