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Daily mapping of Australian Plague Locust abundance
Locust population outbreaks have been a longstanding problem for Australian agriculture. Since its inception in the mid-1970s, The Australian Plague Locust Commission (APLC) is responsible for monitoring, forecasting and controlling populations of several locust pest species across inland eastern Au...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547006/ https://www.ncbi.nlm.nih.gov/pubmed/33037298 http://dx.doi.org/10.1038/s41598-020-73897-1 |
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author | Mangeon, Stéphane Spessa, Allan Deveson, Edward Darnell, Ross Kriticos, Darren J. |
author_facet | Mangeon, Stéphane Spessa, Allan Deveson, Edward Darnell, Ross Kriticos, Darren J. |
author_sort | Mangeon, Stéphane |
collection | PubMed |
description | Locust population outbreaks have been a longstanding problem for Australian agriculture. Since its inception in the mid-1970s, The Australian Plague Locust Commission (APLC) is responsible for monitoring, forecasting and controlling populations of several locust pest species across inland eastern Australia (ca. two million km(2)). Ground surveys are typically targeted according to prevailing environmental conditions. However, due to the sheer size of the region and limited resources, such surveys remain sparse. Here we develop daily time-step statistical models of populations of Chortoicetes terminifera (Australian plague locust) that can used to predict abundances when observations are lacking, plus uncertainties. We firstly identified key environmental covariates of locust abundance, then examined their relationship with C. terminifera populations by interpreting the responses of Generalized Additive Models (GAM). We also illustrate how estimates of C. terminifera abundance plus uncertainties can be visualized across the region. Our results support earlier studies, specifically, populations peak in grasslands with high productivity, and decline rapidly under very hot and dry conditions. We also identified new relationships, specifically, a strong positive effect of vapour pressure and sunlight, and a negative effect of soil sand content on C. terminifera abundance. Our modelling tool may assist future APLC management and surveillance effort. |
format | Online Article Text |
id | pubmed-7547006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75470062020-10-14 Daily mapping of Australian Plague Locust abundance Mangeon, Stéphane Spessa, Allan Deveson, Edward Darnell, Ross Kriticos, Darren J. Sci Rep Article Locust population outbreaks have been a longstanding problem for Australian agriculture. Since its inception in the mid-1970s, The Australian Plague Locust Commission (APLC) is responsible for monitoring, forecasting and controlling populations of several locust pest species across inland eastern Australia (ca. two million km(2)). Ground surveys are typically targeted according to prevailing environmental conditions. However, due to the sheer size of the region and limited resources, such surveys remain sparse. Here we develop daily time-step statistical models of populations of Chortoicetes terminifera (Australian plague locust) that can used to predict abundances when observations are lacking, plus uncertainties. We firstly identified key environmental covariates of locust abundance, then examined their relationship with C. terminifera populations by interpreting the responses of Generalized Additive Models (GAM). We also illustrate how estimates of C. terminifera abundance plus uncertainties can be visualized across the region. Our results support earlier studies, specifically, populations peak in grasslands with high productivity, and decline rapidly under very hot and dry conditions. We also identified new relationships, specifically, a strong positive effect of vapour pressure and sunlight, and a negative effect of soil sand content on C. terminifera abundance. Our modelling tool may assist future APLC management and surveillance effort. Nature Publishing Group UK 2020-10-09 /pmc/articles/PMC7547006/ /pubmed/33037298 http://dx.doi.org/10.1038/s41598-020-73897-1 Text en © Crown 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mangeon, Stéphane Spessa, Allan Deveson, Edward Darnell, Ross Kriticos, Darren J. Daily mapping of Australian Plague Locust abundance |
title | Daily mapping of Australian Plague Locust abundance |
title_full | Daily mapping of Australian Plague Locust abundance |
title_fullStr | Daily mapping of Australian Plague Locust abundance |
title_full_unstemmed | Daily mapping of Australian Plague Locust abundance |
title_short | Daily mapping of Australian Plague Locust abundance |
title_sort | daily mapping of australian plague locust abundance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547006/ https://www.ncbi.nlm.nih.gov/pubmed/33037298 http://dx.doi.org/10.1038/s41598-020-73897-1 |
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