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A system dynamics model for pests and natural enemies interactions
Stemborers (Busseola fusca, Sesamia calamistis and Chilo partellus), the fall armyworm (Spodoptera frugiperda) and associated parasitoids constitute an interacting system in maize fields in Kenya. This work aims at developing and evaluating models that represent the evolution of those interactions b...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809103/ https://www.ncbi.nlm.nih.gov/pubmed/33446680 http://dx.doi.org/10.1038/s41598-020-79553-y |
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author | Sokame, Bonoukpoè Mawuko Tonnang, Henri E. Z. Subramanian, Sevgan Bruce, Anani Y. Dubois, Thomas Ekesi, Sunday Calatayud, Paul-André |
author_facet | Sokame, Bonoukpoè Mawuko Tonnang, Henri E. Z. Subramanian, Sevgan Bruce, Anani Y. Dubois, Thomas Ekesi, Sunday Calatayud, Paul-André |
author_sort | Sokame, Bonoukpoè Mawuko |
collection | PubMed |
description | Stemborers (Busseola fusca, Sesamia calamistis and Chilo partellus), the fall armyworm (Spodoptera frugiperda) and associated parasitoids constitute an interacting system in maize fields in Kenya. This work aims at developing and evaluating models that represent the evolution of those interactions by applying system thinking and system dynamics approaches with its archetypes [causal loop diagram (CLD), reinforcing (R) and balancing (B)] to analyse the population of these multi-species systems. The software Vensim PLE 8.0.9 was used to implement the models and carry out the simulations of single- and multi-species systems. The results showed that when a single pest species with its associated parasitoids interact with the host plant, the species was able to establish and sustain by cyclical relationship between populations of the pest and the associated parasitoids. However, in multi- pest species systems, dominance of S. frugiperda and C. partellus over B. fusca and S. calamistis was observed, but without extinction. However, there was a likelihood for B. fusca being displaced by C. partellus. Overall, the models predict the co-existence of fall armyworm with stemborer species as an additional pest of maize in Africa that need to be considered henceforth in designing IPM strategies in maize. |
format | Online Article Text |
id | pubmed-7809103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78091032021-01-15 A system dynamics model for pests and natural enemies interactions Sokame, Bonoukpoè Mawuko Tonnang, Henri E. Z. Subramanian, Sevgan Bruce, Anani Y. Dubois, Thomas Ekesi, Sunday Calatayud, Paul-André Sci Rep Article Stemborers (Busseola fusca, Sesamia calamistis and Chilo partellus), the fall armyworm (Spodoptera frugiperda) and associated parasitoids constitute an interacting system in maize fields in Kenya. This work aims at developing and evaluating models that represent the evolution of those interactions by applying system thinking and system dynamics approaches with its archetypes [causal loop diagram (CLD), reinforcing (R) and balancing (B)] to analyse the population of these multi-species systems. The software Vensim PLE 8.0.9 was used to implement the models and carry out the simulations of single- and multi-species systems. The results showed that when a single pest species with its associated parasitoids interact with the host plant, the species was able to establish and sustain by cyclical relationship between populations of the pest and the associated parasitoids. However, in multi- pest species systems, dominance of S. frugiperda and C. partellus over B. fusca and S. calamistis was observed, but without extinction. However, there was a likelihood for B. fusca being displaced by C. partellus. Overall, the models predict the co-existence of fall armyworm with stemborer species as an additional pest of maize in Africa that need to be considered henceforth in designing IPM strategies in maize. Nature Publishing Group UK 2021-01-14 /pmc/articles/PMC7809103/ /pubmed/33446680 http://dx.doi.org/10.1038/s41598-020-79553-y Text en © The Author(s) 2021 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/. |
spellingShingle | Article Sokame, Bonoukpoè Mawuko Tonnang, Henri E. Z. Subramanian, Sevgan Bruce, Anani Y. Dubois, Thomas Ekesi, Sunday Calatayud, Paul-André A system dynamics model for pests and natural enemies interactions |
title | A system dynamics model for pests and natural enemies interactions |
title_full | A system dynamics model for pests and natural enemies interactions |
title_fullStr | A system dynamics model for pests and natural enemies interactions |
title_full_unstemmed | A system dynamics model for pests and natural enemies interactions |
title_short | A system dynamics model for pests and natural enemies interactions |
title_sort | system dynamics model for pests and natural enemies interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809103/ https://www.ncbi.nlm.nih.gov/pubmed/33446680 http://dx.doi.org/10.1038/s41598-020-79553-y |
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