Influence of Water Temperature During the Main Spawning Period on Anchovy Catch

Lee, Chung Il; Jang, Lee-Hyun; Park, Sung-Eun

doi:10.5657/kfas.2009.42.3.297

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…The average density of anchovies using the −72.5 dB from the previous study by [17] was found to be 3.13 g/m 2 in February and 5.49 g/m 2 in May (Table 7). In general, anchovy densities were relatively higher in May than in February, which may be due to the fact that anchovies enter the southern coastal waters and the southern East Sea to spawn between April and June when water temperatures increase [18,19]. Also, anchovies are turbulent fish that seek out the right water temperature, which may explain the relatively higher densities in May, as water temperatures were higher in May, while they were lower in February.…”

Section: Discussionmentioning

confidence: 99%

Species Identification and Tempo-Spatial Distribution of Anchovy Using Multi-Frequency

Park,

Oh,

Yoon

et al. 2023

JMSE

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In this study, we identified the echo signals of anchovies on echograms using the dB-difference method; additionally, the daytime and nighttime distribution characteristics of anchovies were determined. Using the difference in frequency characteristics of 18, 38, 70, 120, and 200 kHz, the dB-difference intervals of −2.1 dB ≤ ΔMVBS18–38 ≤ 4.4 dB, −9.7 dB ≤ ΔMVBS70–38 ≤ 1.3 dB, −10.2 dB ≤ ΔMVBS120–38 ≤ 2.3 dB, and −10.7 dB ≤ ΔMVBS200–38 ≤ 0.3 dB were set to extract the echo signals of anchovies. The results revealed that anchovies showed a relatively higher distribution in the coast than in the open sea. In February, the average density of anchovies was observed to be 3.43 g/m2, whereas in May, it was observed to be 6.02 g/m2. Also, anchovies were found to be mainly distributed at 30-70 m water depths during the day, and at 30–50 m water depths during the night.

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Section: Discussionmentioning

confidence: 99%

Species Identification and Tempo-Spatial Distribution of Anchovy Using Multi-Frequency

Park,

Oh,

Yoon

et al. 2023

JMSE

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“…1 (Chang et al, 1980 (Park and Lee, 1991;NFRDI, 2010). 멸치에 관한 연구는 남해안 멸치의 난치자 분 포 및 초기성장 (Lim and Ok, 1977;Kim and Kim, 1993), 해황과 어황변동에 관한 연구 (Park and Lee, 1991;Park et al, 2004)), 회유에 관한 연구 (Chang et al, 1980), 자원생물학적 연구 (Park and Lim, 1965;Cha, 1990;Cha and Park, 1994), 멸 치 자원의 분포 특성 (Park et al, 1996) (Joo, 1994;Joo et al, 1998;Kim and Rho, 1996;1994)와 남해도의 미조해역 (Cha, 2009a) 및 양화금해역 (Lee et al, 1988)의 어획량 변동 특성 연구 등 다수 있으나, 앵강만에서의 연구는 바다목장화 연구 모델지 역 선정과 관련한 해양생태학적 연구 (KORDI, 1996)와 조하대에서의 저서동물 군집 연구 (Lim et al, 1999) (Ricker, 1954;Nakata, 1991;Lee et al, 2009) (Chang et al, 1987)인 것과 인근 해역 의 경우 여수가 20%내외에 0.5톤/어장 (Hwang et al, 2006)인 것, 남해도의 미조와 양화금이 각 각 15%에 10.3톤/어장 (Cha, 2009a)이고 47%미 만에 67톤/어장 (Lee et al, 1988) (Kim and Kim, 1986;Lee et al, 2009…”

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Characteristics of fishing condition variation of anchovy in the set net fishing ground of Anggang bay, korea

Lee

2012

Bulletin of the Korean society of Fisheries Technology

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In order to elucidate the mechanism of fishing condition variation of anchovy in the set net fisheries of Anggang Bay, the monthly catch of anchovy was analyzed and examined based on the data acquired from 2006 to 2010 in 13 different fishing grounds. Anchovy consistently appeared from April to December and reached the production of 840 to 1,424 t (average : 1,228 t), with a big annual variation. However, anchovy production in this area accounts for approximately 75% of the production by set net in Anggang Bay whereas it holds 6.8% of the nationwide production (〓18,034 t) by set net. The school of anchovy starts to appear in April at the west mouth of the bay and move north-eastward. Afterward, having three of clockwise turns in the middle of the bay, they scatter to swim into the deep place of the bay and finally go out to turn back to their coming way. These behaviors of anchovy are likely related to thermal fronts as well as distributions of food. The production of anchovy (y, kg) relied greatly on frequencies of effective northeasterly (x1) or northwesterly (x2) wind (≤3.5m/s) which blow between April and June. Their relationships are as follows: y〓1086.27＋ 21.499x1-15.16x2 (r〓0.901). Consequently, we concluded that the northeasterly wind, which appears in the breeding season of spring, played a role to retard the movement of anchovy school to the eastern sea, while the northwesterly wind inhibits the invasion of anchovy school into the bay.

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A Study on the Relationship Between the Catch of Coastal Fisheries and Climate Change Elements using Spatial Panel Model

Kim¹,

Eom²,

Lee³

et al. 2015

The Journal of Fisheries Business Administration

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This study aims to empirically analyze the relationship between climate change elements and catch amount of coastal fisheries, which is predicted to be vulnerable to climate change since its business scale is too small and fishing ground is limited. Using panel data from 1974 to 2013 by region, we tested the relationship between the sea temperature, salinity and the coastal fisheries production. A spatial panel model was applied in order to reflect the spatial dependence of the ocean.The results indicated that while the upper(0-20m) sea temperature and salinity have no significant influence on the coastal fisheries production, the lower(30-50m) sea temperature has significant positive effects on it and, by extension, on the neighboring areas' s production. Therefore, with sea temperature forecast data derived from climate change scenarios, it is expected that these results can be used to assess the future vulnerability to the climate change.

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Influence of Water Temperature During the Main Spawning Period on Anchovy Catch

Cited by 5 publications

References 2 publications

Species Identification and Tempo-Spatial Distribution of Anchovy Using Multi-Frequency

Species Identification and Tempo-Spatial Distribution of Anchovy Using Multi-Frequency

Characteristics of fishing condition variation of anchovy in the set net fishing ground of Anggang bay, korea

A Study on the Relationship Between the Catch of Coastal Fisheries and Climate Change Elements using Spatial Panel Model

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