Using Natural Marks to Identify Individual Cultured Adult Delta Smelt

2018 ◽  
Vol 38 (3) ◽  
pp. 698-705 ◽  
Author(s):  
Gonzalo C. Castillo ◽  
Marade E. Sandford ◽  
Tien-Chieh Hung ◽  
Galen Tigan ◽  
Joan C. Lindberg ◽  
...  
Keyword(s):  
2019 ◽  
Vol 102 (9) ◽  
pp. 1137-1147 ◽  
Author(s):  
Gonzalo C. Castillo ◽  
Marade E. Sandford ◽  
Tien-Chieh Hung ◽  
Wan-Ru Yang ◽  
Galen Tigan ◽  
...  

Author(s):  
Tien‐Chieh Hung ◽  
Luke Ellison ◽  
Troy Stevenson ◽  
Marade Sandford ◽  
Andrew A. Schultz ◽  
...  

2013 ◽  
Vol 36 (4) ◽  
pp. 754-774 ◽  
Author(s):  
Larry R. Brown ◽  
William A. Bennett ◽  
R. Wayne Wagner ◽  
Tara Morgan-King ◽  
Noah Knowles ◽  
...  

Author(s):  
Vanessa Tobias ◽  

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are the result of changing water clarity affecting catchability.


Author(s):  
Vanessa Tobias

In fisheries monitoring, catch is assumed to be a product of fishing intensity, catchability, and availability, where availability is defined as the number or biomass of fish present and catchability refers to the relationship between catch rate and the true population. Ecological monitoring programs use catch per unit of effort (CPUE) to standardize catch and monitor changes in fish populations; however, CPUE is proportional to the portion of the population that is vulnerable to the type of gear that is used in sampling, which is not necessarily the entire population. Programs often deal with this problem by assuming that catchability is constant, but if catchability is not constant, it is not possible to separate the effects of catchability and population size using monitoring data alone. This study uses individual-based simulation to separate the effects of changing environmental conditions on catchability and availability in environmental monitoring data. The simulation combines a module for sampling conditions with a module for individual fish behavior to estimate the proportion of available fish that would escape from the sample. The method is applied to the case study of the well-monitored fish species Delta Smelt (Hypomesus transpacificus) in the San Francisco Estuary, where it has been hypothesized that changing water clarity may affect catchability for long-term monitoring studies. Results of this study indicate that given constraints on Delta Smelt swimming ability, it is unlikely that the apparent declines in Delta Smelt abundance are due to an effect of changing water clarity on catchability.


2014 ◽  
Vol 76 (2) ◽  
pp. 159-163 ◽  
Author(s):  
Tien-Chieh Hung ◽  
Kai J. Eder ◽  
Alireza Javidmehr ◽  
Frank J. Loge
Keyword(s):  

Koedoe ◽  
1996 ◽  
Vol 39 (1) ◽  
Author(s):  
D.G.J. Swanepoel

The tail marks of 190 Nile crocodiles Crocodylus niloticus were documented and processed into codes. The size of the crocodiles varied from 45 cm to 4.6 m in total length. Wherever possible, both sides of the tails were observed and the marks documented. In all remaining instances only one side could be identified. A total of 267 sides were identified. The natural marks on nine segments of a specific portion of the tail was recorded and compared as codes. For this comparison two methods were employed. Differences of 95.1 and 100 was found with the respective methods. This is an indication that every crocodile has a unique pattern of natural marks on its tail. The marks can therefore be used to allocate a code to an individual crocodile that partially eliminates the necessity of artificial marking methods.


BMC Genomics ◽  
2009 ◽  
Vol 10 (1) ◽  
pp. 608 ◽  
Author(s):  
Richard E Connon ◽  
Juergen Geist ◽  
Janice Pfeiff ◽  
Alexander V Loguinov ◽  
Leandro S D'Abronzo ◽  
...  

Author(s):  
Peter A. Henderson

The main methods used to estimate population size using capture–recapture for both closed and open populations are described, including the Peterson–Lincoln estimator, the Schabel census, Bailey’s triple catch, the Jolly–Seber stochastic method, and Cormack’s log-linear method. The robust design approach is described. R code listings for commonly used packages are presented. The assumptions common to capture–recapture methods are reviewed, and tests for assumptions such as equal catchability described. The use of programs to select model assumptions are described. The main methods for marking different animal groups are described, together with the use of natural marks and parasites and DNA. Marking methods include paint marks, dyes, tagging, protein marking, DNA, natural marks, tattooing, and mutilation. Methods for handling and release are described.


Author(s):  
Amanda J. Finger ◽  
◽  
Gregg Schumer ◽  
Alyssa Benjamin ◽  
Scott Blankenship ◽  
...  

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