Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models
Studying the demography of wild animals remains challenging as several of thecritical parts of their life history may be difficult to observe in the field. In particular,determining with certainty when an individual breeds for the first timeis not always obvious. This can be problematic because unce...
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Online Access: | https://doi.org/10.1002/ece3.846 http://ecite.utas.edu.au/89025 |
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ftunivtasecite:oai:ecite.utas.edu.au:89025 2023-05-15T16:05:43+02:00 Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models Desprez, M McMahon, CR Hindell, MA Harcourt, R Gimenez, O 2013 https://doi.org/10.1002/ece3.846 http://ecite.utas.edu.au/89025 en eng Wiley-Blackwell http://dx.doi.org/10.1002/ece3.846 Desprez, M and McMahon, CR and Hindell, MA and Harcourt, R and Gimenez, O, Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models, Ecology and Evolution, 3, (14) pp. 4658-4668. ISSN 2045-7758 (2013) [Refereed Article] http://ecite.utas.edu.au/89025 Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Refereed Article PeerReviewed 2013 ftunivtasecite https://doi.org/10.1002/ece3.846 2019-12-13T21:52:37Z Studying the demography of wild animals remains challenging as several of thecritical parts of their life history may be difficult to observe in the field. In particular,determining with certainty when an individual breeds for the first timeis not always obvious. This can be problematic because uncertainty about thetransition from a prebreeder to a breeder state recruitment leads to uncertaintyin vital rate estimates and in turn in population projection models. Toavoid this issue, the common practice is to discard imperfect data from theanalyses. However, this practice can generate a bias in vital rate estimates ifuncertainty is related to a specific component of the population and reducesthe sample size of the dataset and consequently the statistical power to detecteffects of biological interest. Here, we compared the demographic parametersassessed from a standard multistate capturerecapture approach to the estimatesobtained from the newly developed multi-event framework that specificallyaccounts for uncertainty in state assessment. Using a comprehensive longitudinaldataset on southern elephant seals, we demonstrated that the multi-eventmodel enabled us to use all the data collected (6639 capturerecapture historiesvs. 4179 with the multistate model) by accounting for uncertainty in breedingstates, thereby increasing the precision and accuracy of the demographic parameterestimates. The multi-event model allowed us to incorporate imperfect datainto demographic analyses. The gain in precision obtained has important implicationsin the conservation and management of species because limiting uncertaintyaround vital rates will permit predicting population viability with greateraccuracy. Article in Journal/Newspaper Elephant Seals Southern Elephant Seals eCite UTAS (University of Tasmania) Ecology and Evolution 3 14 4658 4668 |
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Open Polar |
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eCite UTAS (University of Tasmania) |
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ftunivtasecite |
language |
English |
topic |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
spellingShingle |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Desprez, M McMahon, CR Hindell, MA Harcourt, R Gimenez, O Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models |
topic_facet |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
description |
Studying the demography of wild animals remains challenging as several of thecritical parts of their life history may be difficult to observe in the field. In particular,determining with certainty when an individual breeds for the first timeis not always obvious. This can be problematic because uncertainty about thetransition from a prebreeder to a breeder state recruitment leads to uncertaintyin vital rate estimates and in turn in population projection models. Toavoid this issue, the common practice is to discard imperfect data from theanalyses. However, this practice can generate a bias in vital rate estimates ifuncertainty is related to a specific component of the population and reducesthe sample size of the dataset and consequently the statistical power to detecteffects of biological interest. Here, we compared the demographic parametersassessed from a standard multistate capturerecapture approach to the estimatesobtained from the newly developed multi-event framework that specificallyaccounts for uncertainty in state assessment. Using a comprehensive longitudinaldataset on southern elephant seals, we demonstrated that the multi-eventmodel enabled us to use all the data collected (6639 capturerecapture historiesvs. 4179 with the multistate model) by accounting for uncertainty in breedingstates, thereby increasing the precision and accuracy of the demographic parameterestimates. The multi-event model allowed us to incorporate imperfect datainto demographic analyses. The gain in precision obtained has important implicationsin the conservation and management of species because limiting uncertaintyaround vital rates will permit predicting population viability with greateraccuracy. |
format |
Article in Journal/Newspaper |
author |
Desprez, M McMahon, CR Hindell, MA Harcourt, R Gimenez, O |
author_facet |
Desprez, M McMahon, CR Hindell, MA Harcourt, R Gimenez, O |
author_sort |
Desprez, M |
title |
Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models |
title_short |
Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models |
title_full |
Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models |
title_fullStr |
Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models |
title_full_unstemmed |
Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models |
title_sort |
known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models |
publisher |
Wiley-Blackwell |
publishDate |
2013 |
url |
https://doi.org/10.1002/ece3.846 http://ecite.utas.edu.au/89025 |
genre |
Elephant Seals Southern Elephant Seals |
genre_facet |
Elephant Seals Southern Elephant Seals |
op_relation |
http://dx.doi.org/10.1002/ece3.846 Desprez, M and McMahon, CR and Hindell, MA and Harcourt, R and Gimenez, O, Known unknowns in an imperfect world: incorporating uncertainty in recruitment estimates using multi-event capture-recapture models, Ecology and Evolution, 3, (14) pp. 4658-4668. ISSN 2045-7758 (2013) [Refereed Article] http://ecite.utas.edu.au/89025 |
op_doi |
https://doi.org/10.1002/ece3.846 |
container_title |
Ecology and Evolution |
container_volume |
3 |
container_issue |
14 |
container_start_page |
4658 |
op_container_end_page |
4668 |
_version_ |
1766401621512683520 |