Jun Yoshizaki

Works (3)

Updated: July 5th, 2023 15:55

2009 article

Modeling misidentification errors in capture–recapture studies using photographic identification of evolving marks

Yoshizaki, J., Pollock, K. H., Brownie, C., & Webster, R. A. (2009, January 1). Ecology.

By: J. Yoshizaki n, K. Pollock n, C. Brownie n & R. Webster *

author keywords: capture-recapture; closed-population models; evolving tags; misidentification; natural tags; photographic identification; population size estimate
MeSH headings : Animal Identification Systems; Animals; Computer Simulation; Models, Biological; Photography / methods; Population Density; Research Design; Time Factors
topics (OpenAlex): Wildlife Ecology and Conservation; Census and Population Estimation; Fish Ecology and Management Studies
TL;DR: It is shown that conventional estimators can seriously overestimate population size when errors due to misidentification are ignored, and that, in comparison, the new estimators have better properties except in cases with low capture probabilities or low misIdentification rates. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2009 article

Modeling misidentification errors that result from use of genetic tags in capture–recapture studies

Yoshizaki, J., Brownie, C., Pollock, K. H., & Link, W. A. (2009, July 20). Environmental and Ecological Statistics.

By: J. Yoshizaki n, C. Brownie n, K. Pollock n & W. Link

author keywords: Closed population models; Genotype; Population size estimate; Natural tags; Photographic identification; Misidentification
topics (OpenAlex): Wildlife Ecology and Conservation; Census and Population Estimation; Fish Ecology and Management Studies
TL;DR: Methods for estimating population size are introduced and it is shown that new estimators perform well for cases with moderately high capture probabilities or high misidentification rates, in contrast to conventional estimators that can seriously overestimate population size. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2007 article

Factors Affecting Survival Rates of a Recovering Lake Trout Population Estimated by Mark–Recapture in Lake Superior, 1969–1996

Pollock, K. H., Yoshizaki, J., Fabrizio, M. C., & Schram, S. T. (2007, January 1). Transactions of the American Fisheries Society.

By: K. Pollock n, J. Yoshizaki n, M. Fabrizio * & S. Schram*

topics (OpenAlex): Fish Ecology and Management Studies; Wildlife Ecology and Conservation; Census and Population Estimation
TL;DR: Using data from a long-term Wisconsin Department of Natural Resources mark–recapture study to examine the dynamics of survival in a recovering population of lake trout Salvelinus namaycush in western Lake Superior from 1969 to 1996, survival estimates for wild fish varied widely among years. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
14. Life Below Water (Web of Science)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: August 6, 2018

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