Characteristics of egg and larval distributions and catch changes of anchovy in relation to abnormally high sea temperature in the South Sea of Korea

Yoo, Joon-Taek; Kim, Yeong Hye; Song, Se Hyun; Lee, Seung Hwan

doi:10.3796/ksfot.2018.54.3.262

Cited by 9 publications

(7 citation statements)

References 6 publications

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“…Our results provide evidence on the magnitude of jellyfish blooms on ecosystem provisioning services. These results are in line with previous reports and advocate for external forces, other than only hydrographic variations, as main drivers of anchovy recruitment (Yoo et al, 2018). Indeed, the hydrological differences in July 2015 and July 2016 did not explain a strong decline ca.…”

Section: Interplay Between Jellyfish and Forage Fishsupporting

confidence: 92%

“…Indeed, the hydrological differences in July 2015 and July 2016 did not explain a strong decline ca. 88% observed in anchovy small size classes (Yoo et al, 2018). Instead, the anchovy decline was concurrent with the observed massive bloom of N. nomurai that covered ca.…”

Section: Interplay Between Jellyfish and Forage Fishmentioning

confidence: 88%

“…six times, from < 40,000 metric tons in the 1950s to > 212,000 metric tons in the 2010s (MOF, 2019). Despite the economic value of the species, however, mainstream studies have focused on the influence of univariate environmental stressors and life history traits, e.g., SST, dissolved oxygen (DO), eggs spatial distribution, and larval survival and growth (Lee & Kim, 2007;Jung et al, 2008;Kim et al, 2013b;Yoo et al, 2018). Hence, a multi-stressors approach is required to consider the potential effects of external forces, such as hydroclimate dynamics and ecological feedback, potentially interfering in anchovy recruitment (Takasuka et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Jellyfish blooms challenge the provisioning of ecosystem services in the Korean coastal waters

et al. 2022

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Temperate fisheries grounds are exposed to compound effects of jellyfish proliferations and fishing pressure, which affect local fisheries, cause economic losses, and threaten seafood supply. Here, we quantify the interlink between climate variability and jellyfish blooms and their impact on the Japanese anchovy (Engraulis japonicus), in the Korean coastal waters. We used a bioclimate dataset (2010–2019) that includes quantitative information of two major bloom-former species, Aurelia coerulea and Nemopilema nomurai, in the Korean Peninsula. We show that climate phenomena governing East Asia regions explain circa half of jellyfish variability. In turn, jellyfish blooms have a significant negative effect on anchovy interannual changes (r = -0.47, P < 0.01), which varies along with the bloom magnitude. Our results indicate that the intensity of jellyfish blooms, more than their duration, has a predominant effect on anchovy and coastal fisheries production. We also suggest the possibility of using climate signals for assessing and eventually predicting, interannual abundance changes of jellyfish in the Korean Peninsula. These results stress the challenge posed by jellyfish blooms to the provisioning of ecosystem services via their influence on marine harvested fish and further highlight the need for their integration into ecosystem-based management.

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Section: Interplay Between Jellyfish and Forage Fishsupporting

confidence: 92%

Section: Interplay Between Jellyfish and Forage Fishmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

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Jellyfish blooms challenge the provisioning of ecosystem services in the Korean coastal waters

et al. 2022

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“…In Korean waters, the main fishing grounds for Pacific herring are located in the southern area of the ES, and the species is caught to some extent throughout the year [58]. By contrast, commercial fishing for common squid in the ES begins in earnest in July [59], and the catch level of the species is very low during the spring [60].…”

Section: Discussionmentioning

confidence: 99%

Environmental Factors Influencing Annual Changes in Bycatch per Unit Effort of Delphinus delphis around Their Main Hotspot in Korean Waters

Yoo,

Lee,

Joo

2024

JMSE

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In this study, the characteristics of temporal changes in bycatch per unit effort (BPUE) as an index of the relative density of the common dolphin around their widest hotspot in the East Sea/Sea of Japan were examined from 2011 to 2021. BPUE rapidly increased from 2017 to 2019. The annual changes in BPUE were due to changes during March–April, which is the most abundant season for common dolphins. The annual relationship between BPUE and four variables (Pacific herring, common squid catches, chlorophyll-a concentration, and sea surface temperature) around their main hotspot for March–April was investigated using generalized linear models (GLMs) for gamma distribution. A stepwise Bayesian information criterion for the gamma GLM yielded significant retention of two variables, Pacific herring catch and chlorophyll-a concentration, over the study period, indicating that the rapid increase of the relative density of the common dolphin in the early spring during 2017–2019 could be due to the increase of their prey abundance caused by higher primary productivity. Therefore, ecosystem productivity altered by nutrient conditions could be a key biological process that enhances habitat use of cetaceans in highly productive seasons and regions.

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“…This study used the HWT definition of a SST > 28 • C, which was set by the Korean Ministry of Maritime Affairs and Fisheries [30,31]. Figure 1 shows the number of SSTs exceeding 28 • C in the seas around the Korean Peninsula over the past 5 years and the selected target area for HWT prediction for this study; red corresponds to areas in which HWT was recorded more than 40 times, and blue represents areas in which HWT did not occur.…”

Section: Study Areamentioning

confidence: 99%

Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model

2020

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Recent global warming has been accompanied by high water temperatures (HWTs) in coastal areas of Korea, resulting in huge economic losses in the marine fishery industry due to disease outbreaks in aquaculture. To mitigate these losses, it is necessary to predict such outbreaks to prevent or respond to them as early as possible. In the present study, we propose an HWT prediction method that applies sea surface temperatures (SSTs) and deep-learning technology in a long short-term memory (LSTM) model based on a recurrent neural network (RNN). The LSTM model is used to predict time series data for the target areas, including the coastal area from Goheung to Yeosu, Jeollanam-do, Korea, which has experienced frequent HWT occurrences in recent years. To evaluate the performance of the SST prediction model, we compared and analyzed the results of an existing SST prediction model for the SST data, and additional external meteorological data. The proposed model outperformed the existing model in predicting SSTs and HWTs. Although the performance of the proposed model decreased as the prediction interval increased, it consistently showed better performance than the European Center for Medium-Range Weather Forecast (ECMWF) prediction model. Therefore, the method proposed in this study may be applied to prevent future damage to the aquaculture industry.

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Characteristics of egg and larval distributions and catch changes of anchovy in relation to abnormally high sea temperature in the South Sea of Korea

Cited by 9 publications

References 6 publications

Jellyfish blooms challenge the provisioning of ecosystem services in the Korean coastal waters

Jellyfish blooms challenge the provisioning of ecosystem services in the Korean coastal waters

Environmental Factors Influencing Annual Changes in Bycatch per Unit Effort of Delphinus delphis around Their Main Hotspot in Korean Waters

Sea Surface Temperature and High Water Temperature Occurrence Prediction Using a Long Short-Term Memory Model

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