Fish species composition and CPUE abundance of fishery resources collected by gill net, trap net and longline in the coastal area of Oenarodo Go-heung, Korea

2021 ◽  
Vol 14 (1) ◽  
pp. 69-77
Author(s):  
Seung-Taek JUNG ◽  
Young-Jae CHOI ◽  
Tae-jong KANG ◽  
Eun-bi MIN ◽  
Doo-jin HWANG
Keyword(s):  
Species Composition ◽  
Fish Species ◽  
Coastal Area ◽  
Fishery Resources ◽  
Gill Net ◽  
Fish Species Composition

Species composition and abundance of resources collcted by gill net, trap net, and long line in the coastal area of Oenarodo Go-heung, Korea

2019 ◽  
Vol 12 (1) ◽  
pp. 76-83
Author(s):  
Chae-Lin KIM ◽  
Jeong-A AN ◽  
Eun-Bi MIN ◽  
Eun-A YOON ◽  
Doo-Jin HWANG
Keyword(s):  
Species Composition ◽  
Coastal Area ◽  
Gill Net ◽  
Long Line

scholarly journals Comparison of Fish Species Composition Collected by Set Net at Hupo in Gyeong-Sang-Buk-Do, and Jangho in Gang-Won-Do, Korea

2014 ◽  
Vol 47 (4) ◽  
pp. 424-430 ◽  
Author(s):  
Jung-Ha Kang ◽  
Yi-Gyeong Kim ◽  
Jung-Youn Park ◽  
Jin-Koo Kim ◽  
Jung-Hwa Ryu ◽  
...  
Keyword(s):  
Species Composition ◽  
Fish Species ◽  
Fish Species Composition

Status of fish biodiversity and fishing on Hau River, Mekong Delta, Vietnam

2020 ◽  
Vol 56 ◽  
pp. 14
Author(s):  
Vu Ngoc Ut ◽  
Au Van Hoa ◽  
Huynh Phuoc Vinh
Keyword(s):  
Species Composition ◽  
Fish Species ◽  
Mekong Delta ◽  
Middle Part ◽  
Fishing Ground ◽  
Sampling Gear ◽  
Fish Biodiversity ◽  
Gill Net ◽  
Fishing Gears ◽  
The Status

Fish biodiversity on Hau (Bassac) river was investigated to assess the status of species composition and fishing by fishing gears during a year. Sampling was implemented monthly at the upper part (An Giang province), middle part (Can Tho City) and lower part (Soc Trang province) of Hau River using trawl net as main sampling gear. Additionally, fish composition was also recorded from four other most popular fishing gears including cast net, gill net, fixed net and hook operated in the study sites. Fish species composition was determined by fishing gears and their abundance (CPUE) was calculated only from the main sampling gear (trawl net). The results showed that a total of 176 fish species belonging to 16 orders and 49 families was recorded. Perciformes was the most abundant group with 51 species followed by Cypriniformes with 46 species. The number of fish species was decreasing from upper part to lower part. Trawl net was considered the most destructive gear as up to 145 fish species caught by this device, followed by gill net with 98 species, fixed net 75, cast net 57, and hooks 16 species. CPUE was very low ranging from  0.53 kg.ha−1 h−1 to 26.30 kg.ha−1 h−1. Higher CPUE was recorded at lower part in compared to upper part and middle part, and at dry season in compared to rainy season. Regulation on fishing gears, fishing ground and season should be taken into consideration to protect and conserve the resources.

Watershed-level sampling effort requirements for determining riverine fish species composition

2005 ◽  
Vol 62 (7) ◽  
pp. 1580-1588 ◽  
Author(s):  
Katherine L Smith ◽  
Michael L Jones
Keyword(s):  
Species Richness ◽  
Species Composition ◽  
Fish Species ◽  
Correlation Coefficients ◽  
Sampling Effort ◽  
Species Accumulation Curves ◽  
Targeted Sampling ◽  
Weak Negative Correlation ◽  
Fish Species Composition ◽  
Riverine Fish

Accurate assessments of watershed-level species composition are necessary for comparative ecological studies, ecosystem health assessments, monitoring, and aquatic conservation prioritization. Several studies have addressed sampling effort requirements for characterizing fish species composition at a section of stream, but none have examined watershed-level requirements. In the spring and summer of 2002, we extensively sampled nine Great Lakes watersheds to assess sampling-effort requirements. Sampling requirements increased with the targeted percentage of estimated species richness. Sampling 15–119 randomly selected reaches of stream, stratified by stream order, was on average sufficient to detect 80%–100% of estimated species richness. Watershed size (km2) and estimated species richness each showed a weak, negative correlation with sampling-effort requirements in our study streams, with Pearson's correlation coefficients of –5.06 and –0.590, respectively. Because of among-watershed variability in sampling effort requirements, field crews should plot species accumulation curves onsite to determine adequate inventory completion. Based on the difficulty of detecting the last 10% of species, random sampling should be conducted in conjunction with targeted sampling of rare species.

FISH SPECIES COMPOSITION IN THE RED RIVER AND ITS TRIBUTARIES IN THE YEN BAI PROVINCE, VIETNAM

2015 ◽  
Vol 60 (4) ◽  
pp. 97-103
Author(s):  
Nguyen Huu Duc ◽  
Tran Duc Hau ◽  
Ha Thi Thanh Hai
Keyword(s):  
Species Composition ◽  
Fish Species ◽  
Red River ◽  
Fish Species Composition

Estuarine characteristics, water quality and heavy metal contamination as determinants of fish species composition in intermittently open estuaries

2017 ◽  
Vol 68 (5) ◽  
pp. 941 ◽  
Author(s):  
K. O'Mara ◽  
A. Miskiewicz ◽  
M. Y. L. Wong
Keyword(s):  
Water Quality ◽  
Species Composition ◽  
Fish Species ◽  
Metal Contamination ◽  
Fish Assemblages ◽  
Anthropogenic Activities ◽  
Estuarine Fish ◽  
Fish Diversity ◽  
Eastern Australia ◽  
Fish Species Composition

Estuaries are critical aquatic environments that are used by many fish during their life cycle. However, estuaries often suffer from poor water quality as a result of anthropogenic activities. Fish diversity studies in estuaries are common, although few have examined whether correlations exist between water quality, metal contamination and fish assemblages. In the present study we investigated the effect of abiotic conditions, heavy metals and estuary characteristics on the abundance, diversity and composition of fish in four intermittently open estuaries along the Illawarra coast of south-eastern Australia. The heterogeneity of environmental conditions was reflected in the fish assemblages in each estuary. Environmental variables predicted fish species composition, and estuaries in particularly poor condition contained few species (estuarine residents) in high abundance, indicating their ability to acclimatise and survive in conditions that are hostile to other species. Overall, these findings demonstrate that estuarine fish assemblages may be useful indicators of estuary condition and reveal the importance of managing anthropogenic activities in the surrounding catchment to improve water quality so that biodiversity of fish can be restored in these estuarine environments.

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