A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams
Accurately estimating population sizes is often a critical component of fisheries research and management. Although there is a growing appreciation of the importance of small-scale salmon population dynamics to the stability of salmon stock-complexes, our understanding of these populations is constr...
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ftpubmed:oai:pubmedcentral.nih.gov:4911955 2023-05-15T17:04:42+02:00 A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams Deacy, William W. Leacock, William B. Eby, Lisa A. Stanford, Jack A. 2016-06-14 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911955/ http://www.ncbi.nlm.nih.gov/pubmed/27326378 https://doi.org/10.7717/peerj.2120 en eng PeerJ Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911955/ http://www.ncbi.nlm.nih.gov/pubmed/27326378 http://dx.doi.org/10.7717/peerj.2120 ©2016 Deacy et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. CC-BY Aquaculture Fisheries and Fish Science Text 2016 ftpubmed https://doi.org/10.7717/peerj.2120 2016-06-26T00:56:54Z Accurately estimating population sizes is often a critical component of fisheries research and management. Although there is a growing appreciation of the importance of small-scale salmon population dynamics to the stability of salmon stock-complexes, our understanding of these populations is constrained by a lack of efficient and cost-effective monitoring tools for streams. Weirs are expensive, labor intensive, and can disrupt natural fish movements. While conventional video systems avoid some of these shortcomings, they are expensive and require excessive amounts of labor to review footage for data collection. Here, we present a novel method for quantifying salmon in small streams (<15 m wide, <1 m deep) that uses both time-lapse photography and video in a model-based double sampling scheme. This method produces an escapement estimate nearly as accurate as a video-only approach, but with substantially less labor, money, and effort. It requires servicing only every 14 days, detects salmon 24 h/day, is inexpensive, and produces escapement estimates with confidence intervals. In addition to escapement estimation, we present a method for estimating in-stream salmon abundance across time, data needed by researchers interested in predator--prey interactions or nutrient subsidies. We combined daily salmon passage estimates with stream specific estimates of daily mortality developed using previously published data. To demonstrate proof of concept for these methods, we present results from two streams in southwest Kodiak Island, Alaska in which high densities of sockeye salmon spawn. Text Kodiak Alaska PubMed Central (PMC) Sockeye ENVELOPE(-130.143,-130.143,54.160,54.160) PeerJ 4 e2120 |
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Open Polar |
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PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Aquaculture Fisheries and Fish Science |
spellingShingle |
Aquaculture Fisheries and Fish Science Deacy, William W. Leacock, William B. Eby, Lisa A. Stanford, Jack A. A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams |
topic_facet |
Aquaculture Fisheries and Fish Science |
description |
Accurately estimating population sizes is often a critical component of fisheries research and management. Although there is a growing appreciation of the importance of small-scale salmon population dynamics to the stability of salmon stock-complexes, our understanding of these populations is constrained by a lack of efficient and cost-effective monitoring tools for streams. Weirs are expensive, labor intensive, and can disrupt natural fish movements. While conventional video systems avoid some of these shortcomings, they are expensive and require excessive amounts of labor to review footage for data collection. Here, we present a novel method for quantifying salmon in small streams (<15 m wide, <1 m deep) that uses both time-lapse photography and video in a model-based double sampling scheme. This method produces an escapement estimate nearly as accurate as a video-only approach, but with substantially less labor, money, and effort. It requires servicing only every 14 days, detects salmon 24 h/day, is inexpensive, and produces escapement estimates with confidence intervals. In addition to escapement estimation, we present a method for estimating in-stream salmon abundance across time, data needed by researchers interested in predator--prey interactions or nutrient subsidies. We combined daily salmon passage estimates with stream specific estimates of daily mortality developed using previously published data. To demonstrate proof of concept for these methods, we present results from two streams in southwest Kodiak Island, Alaska in which high densities of sockeye salmon spawn. |
format |
Text |
author |
Deacy, William W. Leacock, William B. Eby, Lisa A. Stanford, Jack A. |
author_facet |
Deacy, William W. Leacock, William B. Eby, Lisa A. Stanford, Jack A. |
author_sort |
Deacy, William W. |
title |
A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams |
title_short |
A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams |
title_full |
A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams |
title_fullStr |
A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams |
title_full_unstemmed |
A time-lapse photography method for monitoring salmon (Oncorhynchus spp.) passage and abundance in streams |
title_sort |
time-lapse photography method for monitoring salmon (oncorhynchus spp.) passage and abundance in streams |
publisher |
PeerJ Inc. |
publishDate |
2016 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911955/ http://www.ncbi.nlm.nih.gov/pubmed/27326378 https://doi.org/10.7717/peerj.2120 |
long_lat |
ENVELOPE(-130.143,-130.143,54.160,54.160) |
geographic |
Sockeye |
geographic_facet |
Sockeye |
genre |
Kodiak Alaska |
genre_facet |
Kodiak Alaska |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4911955/ http://www.ncbi.nlm.nih.gov/pubmed/27326378 http://dx.doi.org/10.7717/peerj.2120 |
op_rights |
©2016 Deacy et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.7717/peerj.2120 |
container_title |
PeerJ |
container_volume |
4 |
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e2120 |
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1766059027701170176 |