Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012

Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories....

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Bibliographic Details
Main Authors: Schaberg, Kevin, Liller, Zachary
Format: Dataset
Language:English
Published: KNB Data Repository 2018
Subjects:
Online Access:https://dx.doi.org/10.5063/9k48nf
https://knb.ecoinformatics.org/view/doi:10.5063/9K48NF
id ftdatacite:10.5063/9k48nf
record_format openpolar
spelling ftdatacite:10.5063/9k48nf 2023-05-15T17:05:39+02:00 Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012 Schaberg, Kevin Liller, Zachary 2018 text/xml https://dx.doi.org/10.5063/9k48nf https://knb.ecoinformatics.org/view/doi:10.5063/9K48NF en eng KNB Data Repository brood table dataset Dataset 2018 ftdatacite https://doi.org/10.5063/9k48nf 2021-11-05T12:55:41Z Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. Archived here are the original PDF from which the data were extracted, the original .csv file with this extracted data, an R script that slightly reformats the dataset into a format consistent with other brood tables collected as part of the State of Alaskan Salmon and People project (https://alaskasalmonandpeople.org/), and the reformatted table as a .csv file. Age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at sea (3 winters at sea = age-X.3). Dataset Kuskokwim Alaska DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic brood table
spellingShingle brood table
Schaberg, Kevin
Liller, Zachary
Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012
topic_facet brood table
description Brood tables, also called run reconstructions, utilize annual estimates of the total run (commercial catch plus escapement), and samples of ages, to estimate the number of recruits per age class. These data are useful for salmon biologists to understand salmon productivity and salmon life histories. Archived here are the original PDF from which the data were extracted, the original .csv file with this extracted data, an R script that slightly reformats the dataset into a format consistent with other brood tables collected as part of the State of Alaskan Salmon and People project (https://alaskasalmonandpeople.org/), and the reformatted table as a .csv file. Age classes are given in European Notation, where the first number is the number of winters spent in freshwater before going to sea (1 winter in freshwater = age-1.X), and the second number is the number of winters spent at sea (3 winters at sea = age-X.3).
format Dataset
author Schaberg, Kevin
Liller, Zachary
author_facet Schaberg, Kevin
Liller, Zachary
author_sort Schaberg, Kevin
title Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012
title_short Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012
title_full Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012
title_fullStr Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012
title_full_unstemmed Coho salmon brood table, Kuskokwim River, Alaska, 2000-2012
title_sort coho salmon brood table, kuskokwim river, alaska, 2000-2012
publisher KNB Data Repository
publishDate 2018
url https://dx.doi.org/10.5063/9k48nf
https://knb.ecoinformatics.org/view/doi:10.5063/9K48NF
genre Kuskokwim
Alaska
genre_facet Kuskokwim
Alaska
op_doi https://doi.org/10.5063/9k48nf
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