Improving abundance estimates from electrofishing removal sampling
Estimates of fish abundance from electrofishing surveys depend on accurate estimation of capture probability. We examine in this paper how estimates of capture probability and abundance of Atlantic salmon from multi-pass removal sampling can be improved by comparing the results of an experimental pr...
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Online Access: | http://hdl.handle.net/10793/975 https://doi.org/10.1016/j.fishres.2012.09.015 |
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ftmarineinst:oai:oar.marine.ie:10793/975 2023-05-15T15:31:23+02:00 Improving abundance estimates from electrofishing removal sampling Hedger, Richard D De Eyto, Elvira Dillane, Mary Diserud, Ola Hindar, Kjetil McGinnity, Philip Poole, Russell Rogan, Ger 2013-01 http://hdl.handle.net/10793/975 https://doi.org/10.1016/j.fishres.2012.09.015 en eng Elsevier Fisheries Research;Vol 137 Richard D. Hedger,Elvira de Eyto,Mary Dillane,Ola H. Diserud,Kjetil Hindar,Philip McGinnity,Russell Poole,Ger Rogan doi:10.1016/j.fishres.2012.09.015 http://hdl.handle.net/10793/975 optimizing electrofishing zippin Seber and Carle & Strub estimation methods calibrated single-pass capture probability Technical Report 2013 ftmarineinst https://doi.org/10.1016/j.fishres.2012.09.015 2022-07-27T09:39:10Z Estimates of fish abundance from electrofishing surveys depend on accurate estimation of capture probability. We examine in this paper how estimates of capture probability and abundance of Atlantic salmon from multi-pass removal sampling can be improved by comparing the results of an experimental programme of closed electrofishing sites within selected rivers in west-central Norway, and those obtained from open electrofishing sites established for monitoring long-term juvenile Atlantic salmon population abundance within the Burrishoole catchment, western Ireland. We first establish that the Carle & Strub method provides a more robust estimate of population abundance than the Zippin and Seber methods. We then show how prior information on capture probability may be used to improve the accuracy of the abundance estimate in open sites. We also show that the use of prior information with single-pass electrofishing may improve the accuracy of the abundance estimate so that it is comparable with that of multi-pass electrofishing in terms of stock prediction while requiring less sampling effort Supported by Norwegian Institute for Nature Research, the Norwegian Directorate for Nature, and the Beaufort Marine Research Award in Fish Population Genetics funded by the Irish Government under the Sea Change Programme. Report Atlantic salmon Marine Institute Open Access Repository Norway Fisheries Research 137 104 115 |
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Open Polar |
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Marine Institute Open Access Repository |
op_collection_id |
ftmarineinst |
language |
English |
topic |
optimizing electrofishing zippin Seber and Carle & Strub estimation methods calibrated single-pass capture probability |
spellingShingle |
optimizing electrofishing zippin Seber and Carle & Strub estimation methods calibrated single-pass capture probability Hedger, Richard D De Eyto, Elvira Dillane, Mary Diserud, Ola Hindar, Kjetil McGinnity, Philip Poole, Russell Rogan, Ger Improving abundance estimates from electrofishing removal sampling |
topic_facet |
optimizing electrofishing zippin Seber and Carle & Strub estimation methods calibrated single-pass capture probability |
description |
Estimates of fish abundance from electrofishing surveys depend on accurate estimation of capture probability. We examine in this paper how estimates of capture probability and abundance of Atlantic salmon from multi-pass removal sampling can be improved by comparing the results of an experimental programme of closed electrofishing sites within selected rivers in west-central Norway, and those obtained from open electrofishing sites established for monitoring long-term juvenile Atlantic salmon population abundance within the Burrishoole catchment, western Ireland. We first establish that the Carle & Strub method provides a more robust estimate of population abundance than the Zippin and Seber methods. We then show how prior information on capture probability may be used to improve the accuracy of the abundance estimate in open sites. We also show that the use of prior information with single-pass electrofishing may improve the accuracy of the abundance estimate so that it is comparable with that of multi-pass electrofishing in terms of stock prediction while requiring less sampling effort Supported by Norwegian Institute for Nature Research, the Norwegian Directorate for Nature, and the Beaufort Marine Research Award in Fish Population Genetics funded by the Irish Government under the Sea Change Programme. |
format |
Report |
author |
Hedger, Richard D De Eyto, Elvira Dillane, Mary Diserud, Ola Hindar, Kjetil McGinnity, Philip Poole, Russell Rogan, Ger |
author_facet |
Hedger, Richard D De Eyto, Elvira Dillane, Mary Diserud, Ola Hindar, Kjetil McGinnity, Philip Poole, Russell Rogan, Ger |
author_sort |
Hedger, Richard D |
title |
Improving abundance estimates from electrofishing removal sampling |
title_short |
Improving abundance estimates from electrofishing removal sampling |
title_full |
Improving abundance estimates from electrofishing removal sampling |
title_fullStr |
Improving abundance estimates from electrofishing removal sampling |
title_full_unstemmed |
Improving abundance estimates from electrofishing removal sampling |
title_sort |
improving abundance estimates from electrofishing removal sampling |
publisher |
Elsevier |
publishDate |
2013 |
url |
http://hdl.handle.net/10793/975 https://doi.org/10.1016/j.fishres.2012.09.015 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
Fisheries Research;Vol 137 Richard D. Hedger,Elvira de Eyto,Mary Dillane,Ola H. Diserud,Kjetil Hindar,Philip McGinnity,Russell Poole,Ger Rogan doi:10.1016/j.fishres.2012.09.015 http://hdl.handle.net/10793/975 |
op_doi |
https://doi.org/10.1016/j.fishres.2012.09.015 |
container_title |
Fisheries Research |
container_volume |
137 |
container_start_page |
104 |
op_container_end_page |
115 |
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1766361892255694848 |