Analyses for Differentiating Littoral Fish Assemblages with Catch Data from Multiple Sampling Gears

Author(s):  
Melissa J. Weaver ◽  
John J. Magnuson ◽  
Murray K. Clayton
2021 ◽  
pp. 102000
Author(s):  
Yureidy Cabrera-Páez ◽  
Consuelo M. Aguilar-Betancourt ◽  
Gaspar González-Sansón ◽  
Angel Hinojosa-Larios

2001 ◽  
Vol 17 (2) ◽  
pp. 127-138 ◽  
Author(s):  
Perry F. Trial ◽  
Frances P. Gelwick ◽  
Mark A. Webb

2009 ◽  
Vol 1 (1) ◽  
pp. 200-217 ◽  
Author(s):  
Lenny F. Grimaldo ◽  
A. Robin Stewart ◽  
Wim Kimmerer

2019 ◽  
Vol 27 (2) ◽  
pp. 128-137
Author(s):  
Vladimir I Maltsev

Feasibility of monitoring of the littoral fish assemblages at the reserved water areas (Karadag Nature Reserve, Crimea) by methods of visual estimation and video recording involving data of fish catch statistics of fishing companies and recreational fishermen providing fishing in the waters adjacent to the reserved aquatory is discussed. At the water area of the reserve 18 species (35%) were identified exclusively by visual recording and video recording methods, 13 more species were identified by the mentioned contactless methods and simultaneously as a result of the analysis of information from recreational fishermen and fish catch statistics. As a result, 31 species of fish (or 61 % of the identified species) were identified visually or by video recording. The contactless methods were detected mostly sedentary (15) and nomad (11) species. Migratory species in the majority (9 species vs. 6) were identified only as a result of the analysis of information from recreational fishermen and fish catch statistics.


2013 ◽  
Vol 128 ◽  
pp. 22-32 ◽  
Author(s):  
Carlos Sangil ◽  
Laura Martín-García ◽  
José Carlos Hernández ◽  
Laura Concepción ◽  
Raúl Fernández ◽  
...  

1992 ◽  
Vol 43 (2) ◽  
pp. 379 ◽  
Author(s):  
RR Federizon

Exploratory data analysis using four different techniques of classification and ordination was applied to the catch data from a 15-month demersal trawl survey in Ragay Gulf, Philippines, in order to characterize the area. The four techniques yield almost identical results and therefore lend confidence to the three subareas identified: shallow, coralline and deep. Species characteristic of the subareas were also identified. The observed pattern remained consistent during the study period, suggesting that seasonal variability is not pronounced. This study provides further empirical evidence of the zonation of fish communities by depth. Preliminary comparison of the results of this study with those of studies of demersal fish community assemblages in the Samar Sea shows that boundary depths defining zonation are different in the two areas because of their different depth ranges and spatial scales. This comparison leads to the question of whether the boundary depths as identified via classification and ordination methods could be a function of the shape of the depth distribution of the samples. The use of a bootstrapping method to investigate this question is suggested. The importance of applying exploratory data analysis to the catch data from a demersal trawl survey done to assess fish stocks is also discussed.


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