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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
  • , Mitchell Welch

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)1-36
JournalPeerJ
Volume5
DOIs
Publication statusPublished - 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Photogrammetry and Remote Sensing
  • Information and Computing Sciences
  • Agricultural Spatial Analysis and Modelling

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