Making the most of survey data: Incorporating age uncertainty when fitting growth parameters
Individual growth is an important parameter and is linked to a number of other biological processes. It is commonly modeled using the von Bertalanffy growth function (VBGF), which is regularly fitted to age data where the ages of the animals are not known exactly but are binned into yearly age group...
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ftpubmed:oai:pubmedcentral.nih.gov:5587502 2023-05-15T15:27:44+02:00 Making the most of survey data: Incorporating age uncertainty when fitting growth parameters Spence, Michael A. Turtle, Alan J. 2017-07-31 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587502/ https://doi.org/10.1002/ece3.3280 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587502/ http://dx.doi.org/10.1002/ece3.3280 © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Original Research Text 2017 ftpubmed https://doi.org/10.1002/ece3.3280 2017-09-17T01:19:55Z Individual growth is an important parameter and is linked to a number of other biological processes. It is commonly modeled using the von Bertalanffy growth function (VBGF), which is regularly fitted to age data where the ages of the animals are not known exactly but are binned into yearly age groups, such as fish survey data. Current methods of fitting the VBGF to these data treat all the binned ages as the actual ages. We present a new VBGF model that combines data from multiple surveys and allows the actual age of an animal to be inferred. By fitting to survey data for Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua), we compare our model with two other ways of combining data from multiple surveys but where the ages are as reported in the survey data. We use the fitted parameters as inputs into a yield‐per‐recruit model to see what would happen to advice given to management. We found that each of the ways of combining the data leads to different parameter estimates for the VBGF and advice for policymakers. Our model fitted to the data better than either of the other models and also reduced the uncertainty in the parameter estimates and models used to inform management. Our model is a robust way of fitting the VBGF and can be used to combine data from multiple sources. The model is general enough to fit other growth curves for any taxon when the age of individuals is binned into groups. Text atlantic cod Gadus morhua PubMed Central (PMC) Ecology and Evolution 7 17 7058 7068 |
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Original Research Spence, Michael A. Turtle, Alan J. Making the most of survey data: Incorporating age uncertainty when fitting growth parameters |
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Original Research |
description |
Individual growth is an important parameter and is linked to a number of other biological processes. It is commonly modeled using the von Bertalanffy growth function (VBGF), which is regularly fitted to age data where the ages of the animals are not known exactly but are binned into yearly age groups, such as fish survey data. Current methods of fitting the VBGF to these data treat all the binned ages as the actual ages. We present a new VBGF model that combines data from multiple surveys and allows the actual age of an animal to be inferred. By fitting to survey data for Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua), we compare our model with two other ways of combining data from multiple surveys but where the ages are as reported in the survey data. We use the fitted parameters as inputs into a yield‐per‐recruit model to see what would happen to advice given to management. We found that each of the ways of combining the data leads to different parameter estimates for the VBGF and advice for policymakers. Our model fitted to the data better than either of the other models and also reduced the uncertainty in the parameter estimates and models used to inform management. Our model is a robust way of fitting the VBGF and can be used to combine data from multiple sources. The model is general enough to fit other growth curves for any taxon when the age of individuals is binned into groups. |
format |
Text |
author |
Spence, Michael A. Turtle, Alan J. |
author_facet |
Spence, Michael A. Turtle, Alan J. |
author_sort |
Spence, Michael A. |
title |
Making the most of survey data: Incorporating age uncertainty when fitting growth parameters |
title_short |
Making the most of survey data: Incorporating age uncertainty when fitting growth parameters |
title_full |
Making the most of survey data: Incorporating age uncertainty when fitting growth parameters |
title_fullStr |
Making the most of survey data: Incorporating age uncertainty when fitting growth parameters |
title_full_unstemmed |
Making the most of survey data: Incorporating age uncertainty when fitting growth parameters |
title_sort |
making the most of survey data: incorporating age uncertainty when fitting growth parameters |
publisher |
John Wiley and Sons Inc. |
publishDate |
2017 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587502/ https://doi.org/10.1002/ece3.3280 |
genre |
atlantic cod Gadus morhua |
genre_facet |
atlantic cod Gadus morhua |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5587502/ http://dx.doi.org/10.1002/ece3.3280 |
op_rights |
© 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1002/ece3.3280 |
container_title |
Ecology and Evolution |
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7 |
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17 |
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7058 |
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7068 |
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1766358142169382912 |