Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data.
Experiments involving mosquito mark-release-recapture (MRR) design are helpful to determine abundance, survival and even recruitment of mosquito populations in the field. Obstacles in mosquito MRR protocols include marking limitations due to small individual size, short lifespan, low efficiency in c...
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ftdoajarticles:oai:doaj.org/article:f90dbb571c244b6bbd2959c7247cedd3 2023-05-15T15:10:02+02:00 Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. Daniel Antunes Maciel Villela Gabriela de Azambuja Garcia Rafael Maciel-de-Freitas 2017-06-01T00:00:00Z https://doi.org/10.1371/journal.pntd.0005682 https://doaj.org/article/f90dbb571c244b6bbd2959c7247cedd3 EN eng Public Library of Science (PLoS) http://europepmc.org/articles/PMC5501687?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0005682 https://doaj.org/article/f90dbb571c244b6bbd2959c7247cedd3 PLoS Neglected Tropical Diseases, Vol 11, Iss 6, p e0005682 (2017) Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 article 2017 ftdoajarticles https://doi.org/10.1371/journal.pntd.0005682 2022-12-31T13:35:31Z Experiments involving mosquito mark-release-recapture (MRR) design are helpful to determine abundance, survival and even recruitment of mosquito populations in the field. Obstacles in mosquito MRR protocols include marking limitations due to small individual size, short lifespan, low efficiency in capturing devices such as traps, and individual removal upon capture. These limitations usually make MRR analysis restricted to only abundance estimation or a combination of abundance and survivorship, and often generate a great degree of uncertainty about the estimations.We present a set of Bayesian biodemographic models designed to fit data from most common mosquito recapture experiments. Using both field data and simulations, we consider model features such as capture efficiency, survival rates, removal of individuals due to capturing, and collection of pupae. These models permit estimation of abundance, survivorship of both marked and unmarked mosquitoes, if different, and recruitment rate. We analyze the accuracy of estimates by varying the number of released individuals, abundance, survivorship, and capture efficiency in multiple simulations. These methods can stand capture efficiencies as low as usually reported but their accuracy depends on the number of released mosquitoes, abundance and survivorship. We also show that gathering pupal counts allows estimating differences in survivorship between released mosquitoes and the unmarked population.These models are important both to reduce uncertainty in evaluating MMR experiments and also to help planning future MRR studies. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic PLOS Neglected Tropical Diseases 11 6 e0005682 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
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Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Daniel Antunes Maciel Villela Gabriela de Azambuja Garcia Rafael Maciel-de-Freitas Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 |
description |
Experiments involving mosquito mark-release-recapture (MRR) design are helpful to determine abundance, survival and even recruitment of mosquito populations in the field. Obstacles in mosquito MRR protocols include marking limitations due to small individual size, short lifespan, low efficiency in capturing devices such as traps, and individual removal upon capture. These limitations usually make MRR analysis restricted to only abundance estimation or a combination of abundance and survivorship, and often generate a great degree of uncertainty about the estimations.We present a set of Bayesian biodemographic models designed to fit data from most common mosquito recapture experiments. Using both field data and simulations, we consider model features such as capture efficiency, survival rates, removal of individuals due to capturing, and collection of pupae. These models permit estimation of abundance, survivorship of both marked and unmarked mosquitoes, if different, and recruitment rate. We analyze the accuracy of estimates by varying the number of released individuals, abundance, survivorship, and capture efficiency in multiple simulations. These methods can stand capture efficiencies as low as usually reported but their accuracy depends on the number of released mosquitoes, abundance and survivorship. We also show that gathering pupal counts allows estimating differences in survivorship between released mosquitoes and the unmarked population.These models are important both to reduce uncertainty in evaluating MMR experiments and also to help planning future MRR studies. |
format |
Article in Journal/Newspaper |
author |
Daniel Antunes Maciel Villela Gabriela de Azambuja Garcia Rafael Maciel-de-Freitas |
author_facet |
Daniel Antunes Maciel Villela Gabriela de Azambuja Garcia Rafael Maciel-de-Freitas |
author_sort |
Daniel Antunes Maciel Villela |
title |
Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. |
title_short |
Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. |
title_full |
Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. |
title_fullStr |
Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. |
title_full_unstemmed |
Novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. |
title_sort |
novel inference models for estimation of abundance, survivorship and recruitment in mosquito populations using mark-release-recapture data. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2017 |
url |
https://doi.org/10.1371/journal.pntd.0005682 https://doaj.org/article/f90dbb571c244b6bbd2959c7247cedd3 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
PLoS Neglected Tropical Diseases, Vol 11, Iss 6, p e0005682 (2017) |
op_relation |
http://europepmc.org/articles/PMC5501687?pdf=render https://doaj.org/toc/1935-2727 https://doaj.org/toc/1935-2735 1935-2727 1935-2735 doi:10.1371/journal.pntd.0005682 https://doaj.org/article/f90dbb571c244b6bbd2959c7247cedd3 |
op_doi |
https://doi.org/10.1371/journal.pntd.0005682 |
container_title |
PLOS Neglected Tropical Diseases |
container_volume |
11 |
container_issue |
6 |
container_start_page |
e0005682 |
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1766341106425921536 |