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Reconstructing population dynamics of a threatened marine mammal using multiple data sets
Models of marine mammal population dynamics have been used extensively to predict abundance. A less common application of these models is to reconstruct historical population dynamics, filling in gaps in observation data by integrating information from multiple sources. We developed an integrated po...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846604/ https://www.ncbi.nlm.nih.gov/pubmed/33514785 http://dx.doi.org/10.1038/s41598-021-81478-z |
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author | Hostetler, Jeffrey A. Martin, Julien Kosempa, Michael Edwards, Holly H. Rood, Kari A. Barton, Sheri L. Runge, Michael C. |
author_facet | Hostetler, Jeffrey A. Martin, Julien Kosempa, Michael Edwards, Holly H. Rood, Kari A. Barton, Sheri L. Runge, Michael C. |
author_sort | Hostetler, Jeffrey A. |
collection | PubMed |
description | Models of marine mammal population dynamics have been used extensively to predict abundance. A less common application of these models is to reconstruct historical population dynamics, filling in gaps in observation data by integrating information from multiple sources. We developed an integrated population model for the Florida manatee (Trichechus manatus latirostris) to reconstruct its population dynamics in the southwest region of the state over the past 20 years. Our model improved precision of key parameter estimates and permitted inference on poorly known parameters. Population growth was slow (averaging 1.02; 95% credible interval 1.01–1.03) but not steady, and an unusual mortality event in 2013 led to an estimated net loss of 332 (217–466) manatees. Our analyses showed that precise estimates of abundance could be derived from estimates of vital rates and a few input estimates of abundance, which may mean costly surveys to estimate abundance don’t need to be conducted as frequently. Our study also shows that retrospective analyses can be useful to: (1) model the transient dynamics of age distribution; (2) assess and communicate the conservation status of wild populations; and (3) improve our understanding of environmental effects on population dynamics and thus enhance our ability to forecast. |
format | Online Article Text |
id | pubmed-7846604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78466042021-02-01 Reconstructing population dynamics of a threatened marine mammal using multiple data sets Hostetler, Jeffrey A. Martin, Julien Kosempa, Michael Edwards, Holly H. Rood, Kari A. Barton, Sheri L. Runge, Michael C. Sci Rep Article Models of marine mammal population dynamics have been used extensively to predict abundance. A less common application of these models is to reconstruct historical population dynamics, filling in gaps in observation data by integrating information from multiple sources. We developed an integrated population model for the Florida manatee (Trichechus manatus latirostris) to reconstruct its population dynamics in the southwest region of the state over the past 20 years. Our model improved precision of key parameter estimates and permitted inference on poorly known parameters. Population growth was slow (averaging 1.02; 95% credible interval 1.01–1.03) but not steady, and an unusual mortality event in 2013 led to an estimated net loss of 332 (217–466) manatees. Our analyses showed that precise estimates of abundance could be derived from estimates of vital rates and a few input estimates of abundance, which may mean costly surveys to estimate abundance don’t need to be conducted as frequently. Our study also shows that retrospective analyses can be useful to: (1) model the transient dynamics of age distribution; (2) assess and communicate the conservation status of wild populations; and (3) improve our understanding of environmental effects on population dynamics and thus enhance our ability to forecast. Nature Publishing Group UK 2021-01-29 /pmc/articles/PMC7846604/ /pubmed/33514785 http://dx.doi.org/10.1038/s41598-021-81478-z Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 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 Hostetler, Jeffrey A. Martin, Julien Kosempa, Michael Edwards, Holly H. Rood, Kari A. Barton, Sheri L. Runge, Michael C. Reconstructing population dynamics of a threatened marine mammal using multiple data sets |
title | Reconstructing population dynamics of a threatened marine mammal using multiple data sets |
title_full | Reconstructing population dynamics of a threatened marine mammal using multiple data sets |
title_fullStr | Reconstructing population dynamics of a threatened marine mammal using multiple data sets |
title_full_unstemmed | Reconstructing population dynamics of a threatened marine mammal using multiple data sets |
title_short | Reconstructing population dynamics of a threatened marine mammal using multiple data sets |
title_sort | reconstructing population dynamics of a threatened marine mammal using multiple data sets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846604/ https://www.ncbi.nlm.nih.gov/pubmed/33514785 http://dx.doi.org/10.1038/s41598-021-81478-z |
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