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A Simple Method for Estimating Survival Rate from Catch Rates from Multiple Years
Author(s) -
Hoenig John M.,
Gedamke Todd
Publication year - 2007
Publication title -
transactions of the american fisheries society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.696
H-Index - 86
eISSN - 1548-8659
pISSN - 0002-8487
DOI - 10.1577/t06-191.1
Subject(s) - statistics , sampling (signal processing) , mathematics , sample size determination , survival analysis , econometrics , computer science , filter (signal processing) , computer vision
Survival rates can be estimated from annual surveys by tracking the abundance of one or more cohorts, as measured by catch per unit of sampling effort, from one year to the next. However, it can be difficult to attain reasonable precision unless sampling effort is extensive. Indeed, estimates of survival exceeding 100% are not infrequently obtained. We show that data from several years can be analyzed simultaneously to obtain a single estimate of survival under the assumption that survival is constant over the period analyzed. The method requires that only a single cohort be identified and separated from the other age‐groups. Thus there are minimal data requirements. Estimates of the survival of goosefish Lophius americanus obtained by this method compare favorably with estimates obtained by analyzing changes in mean length over time.