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Dynamic Model for Life History of Scyphozoa
A two-state life history model governed by ODEs is formulated to elucidate the population dynamics of jellyfish and to illuminate the triggering mechanism of its blooms. The polyp-medusa model admits trichotomous global dynamic scenarios: extinction, polyps survival only, and both survival. The popu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482707/ https://www.ncbi.nlm.nih.gov/pubmed/26114642 http://dx.doi.org/10.1371/journal.pone.0130669 |
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author | Xie, Congbo Fan, Meng Wang, Xin Chen, Ming |
author_facet | Xie, Congbo Fan, Meng Wang, Xin Chen, Ming |
author_sort | Xie, Congbo |
collection | PubMed |
description | A two-state life history model governed by ODEs is formulated to elucidate the population dynamics of jellyfish and to illuminate the triggering mechanism of its blooms. The polyp-medusa model admits trichotomous global dynamic scenarios: extinction, polyps survival only, and both survival. The population dynamics sensitively depend on several biotic and abiotic limiting factors such as substrate, temperature, and predation. The combination of temperature increase, substrate expansion, and predator diminishment acts synergistically to create a habitat that is more favorable for jellyfishes. Reducing artificial marine constructions, aiding predator populations, and directly controlling the jellyfish population would help to manage the jellyfish blooms. The theoretical analyses and numerical experiments yield several insights into the nature underlying the model and shed some new light on the general control strategy for jellyfish. |
format | Online Article Text |
id | pubmed-4482707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44827072015-06-29 Dynamic Model for Life History of Scyphozoa Xie, Congbo Fan, Meng Wang, Xin Chen, Ming PLoS One Research Article A two-state life history model governed by ODEs is formulated to elucidate the population dynamics of jellyfish and to illuminate the triggering mechanism of its blooms. The polyp-medusa model admits trichotomous global dynamic scenarios: extinction, polyps survival only, and both survival. The population dynamics sensitively depend on several biotic and abiotic limiting factors such as substrate, temperature, and predation. The combination of temperature increase, substrate expansion, and predator diminishment acts synergistically to create a habitat that is more favorable for jellyfishes. Reducing artificial marine constructions, aiding predator populations, and directly controlling the jellyfish population would help to manage the jellyfish blooms. The theoretical analyses and numerical experiments yield several insights into the nature underlying the model and shed some new light on the general control strategy for jellyfish. Public Library of Science 2015-06-26 /pmc/articles/PMC4482707/ /pubmed/26114642 http://dx.doi.org/10.1371/journal.pone.0130669 Text en © 2015 Xie et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Xie, Congbo Fan, Meng Wang, Xin Chen, Ming Dynamic Model for Life History of Scyphozoa |
title | Dynamic Model for Life History of Scyphozoa |
title_full | Dynamic Model for Life History of Scyphozoa |
title_fullStr | Dynamic Model for Life History of Scyphozoa |
title_full_unstemmed | Dynamic Model for Life History of Scyphozoa |
title_short | Dynamic Model for Life History of Scyphozoa |
title_sort | dynamic model for life history of scyphozoa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482707/ https://www.ncbi.nlm.nih.gov/pubmed/26114642 http://dx.doi.org/10.1371/journal.pone.0130669 |
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