Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities
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 essent...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2017-08-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/3752.pdf |
| _version_ | 1797417672495857664 |
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| author | Khalifa M. Al-Kindi Paul Kwan Nigel R. Andrew Mitchell Welch |
| author_facet | Khalifa M. Al-Kindi Paul Kwan Nigel R. Andrew Mitchell Welch |
| author_sort | Khalifa M. Al-Kindi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T06:22:02Z |
| format | Article |
| id | doaj.art-9a38a7a936414843b841fdb243875872 |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T06:22:02Z |
| publishDate | 2017-08-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ |
| spelling | doaj.art-9a38a7a936414843b841fdb2438758722023-12-03T11:34:54ZengPeerJ Inc.PeerJ2167-83592017-08-015e375210.7717/peerj.3752Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densitiesKhalifa M. Al-Kindi0Paul Kwan1Nigel R. Andrew2Mitchell Welch3School of Science and Technology, University of New England, Armidale, NSW, AustraliaSchool of Science and Technology, University of New England, Armidale, NSW, AustraliaCentre for Excellence for Behavioural and Physiological Ecology, University of New England, Armidale, NSW, AustraliaSchool of Science and Technology, University of New England, Armidale, NSW, AustraliaIn 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.https://peerj.com/articles/3752.pdfRemote sensingDubas bugOmmatissus lybicusSpatial statistics |
| spellingShingle | Khalifa M. Al-Kindi Paul Kwan Nigel R. Andrew Mitchell Welch Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities PeerJ Remote sensing Dubas bug Ommatissus lybicus Spatial statistics |
| title | Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities |
| title_full | Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities |
| title_fullStr | Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities |
| title_full_unstemmed | Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities |
| title_short | Remote sensing and spatial statistical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities |
| title_sort | remote sensing and spatial statistical techniques for modelling ommatissus lybicus hemiptera tropiduchidae habitat and population densities |
| topic | Remote sensing Dubas bug Ommatissus lybicus Spatial statistics |
| url | https://peerj.com/articles/3752.pdf |
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