Bayesian markrecapture estimation with an application to a salmonid smolt population
We developed a Bayesian probability model for markrecapture data. Three alternative versions of the model were applied to two sets of data on the abundance of migrating Atlantic salmon (Salmo salar) smolt populations, and the results were then compared with those of two widely used maximum likeliho...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Canadian Science Publishing
2002
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1139/f02-146 http://www.nrcresearchpress.com/doi/pdf/10.1139/f02-146 |
id |
crcansciencepubl:10.1139/f02-146 |
---|---|
record_format |
openpolar |
spelling |
crcansciencepubl:10.1139/f02-146 2023-12-17T10:27:25+01:00 Bayesian markrecapture estimation with an application to a salmonid smolt population Mäntyniemi, Samu Romakkaniemi, Atso 2002 http://dx.doi.org/10.1139/f02-146 http://www.nrcresearchpress.com/doi/pdf/10.1139/f02-146 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 59, issue 11, page 1748-1758 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2002 crcansciencepubl https://doi.org/10.1139/f02-146 2023-11-19T13:39:05Z We developed a Bayesian probability model for markrecapture data. Three alternative versions of the model were applied to two sets of data on the abundance of migrating Atlantic salmon (Salmo salar) smolt populations, and the results were then compared with those of two widely used maximum likelihood models (Petersen method and a model using stratified data). Our model follows the basic principles of stochastic models presented for stratified data. In contrast to the earlier models, our model can deal with sparse data. Moreover, even weak dependencies between the studied parameters and the possible factors affecting them can be used to improve the plausibility of the estimates. The assumptions behind our approach are more realistic than those of earlier models, taking into account such factors as overdispersion, which is expected to be present in the markrecapture data of salmon smolts because of their schooling behavior. Our examples also show that assumptions about the model structure can have a substantial impact on the resulting inferences on the size of the smolt run, especially in terms of the precision of the estimate. Article in Journal/Newspaper Atlantic salmon Salmo salar Canadian Science Publishing (via Crossref) Petersen ENVELOPE(-101.250,-101.250,-71.917,-71.917) Canadian Journal of Fisheries and Aquatic Sciences 59 11 1748 1758 |
institution |
Open Polar |
collection |
Canadian Science Publishing (via Crossref) |
op_collection_id |
crcansciencepubl |
language |
English |
topic |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Aquatic Science Ecology, Evolution, Behavior and Systematics Mäntyniemi, Samu Romakkaniemi, Atso Bayesian markrecapture estimation with an application to a salmonid smolt population |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
We developed a Bayesian probability model for markrecapture data. Three alternative versions of the model were applied to two sets of data on the abundance of migrating Atlantic salmon (Salmo salar) smolt populations, and the results were then compared with those of two widely used maximum likelihood models (Petersen method and a model using stratified data). Our model follows the basic principles of stochastic models presented for stratified data. In contrast to the earlier models, our model can deal with sparse data. Moreover, even weak dependencies between the studied parameters and the possible factors affecting them can be used to improve the plausibility of the estimates. The assumptions behind our approach are more realistic than those of earlier models, taking into account such factors as overdispersion, which is expected to be present in the markrecapture data of salmon smolts because of their schooling behavior. Our examples also show that assumptions about the model structure can have a substantial impact on the resulting inferences on the size of the smolt run, especially in terms of the precision of the estimate. |
format |
Article in Journal/Newspaper |
author |
Mäntyniemi, Samu Romakkaniemi, Atso |
author_facet |
Mäntyniemi, Samu Romakkaniemi, Atso |
author_sort |
Mäntyniemi, Samu |
title |
Bayesian markrecapture estimation with an application to a salmonid smolt population |
title_short |
Bayesian markrecapture estimation with an application to a salmonid smolt population |
title_full |
Bayesian markrecapture estimation with an application to a salmonid smolt population |
title_fullStr |
Bayesian markrecapture estimation with an application to a salmonid smolt population |
title_full_unstemmed |
Bayesian markrecapture estimation with an application to a salmonid smolt population |
title_sort |
bayesian markrecapture estimation with an application to a salmonid smolt population |
publisher |
Canadian Science Publishing |
publishDate |
2002 |
url |
http://dx.doi.org/10.1139/f02-146 http://www.nrcresearchpress.com/doi/pdf/10.1139/f02-146 |
long_lat |
ENVELOPE(-101.250,-101.250,-71.917,-71.917) |
geographic |
Petersen |
geographic_facet |
Petersen |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 59, issue 11, page 1748-1758 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f02-146 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
59 |
container_issue |
11 |
container_start_page |
1748 |
op_container_end_page |
1758 |
_version_ |
1785579285804744704 |